Research Library
Crop Updates
Grain and other field crop research
20-2-2002
Crop Updates 2002 - Oilseeds
David Eksteen
Department of Agriculture
K. Neil Harker
Agriculture and Agri-Food Canada
George W. Clayton
Agriculture and Agri-Food Canada
Keith Downey
Agriculture and Agri-Food Canada
Keith Alcock
Department of Agriculture
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Eksteen, D, Harker, K N, Clayton, G W, Downey, K, Alcock, K, Walden, K, Addison, B, Carlton, P, Morthorpe, K,
Addenbrooke, S, Ford, A, Zaheer, S H, Walton, G, Farré, I, Carmody, P, Fortescue, J A, Turner, D W, Tan, B,
Campbell, M C, Pritchard, I, Bell, R W, Frost, K, Wong, M, Brennan, R, Jones, R, Hawkes, J, Thackray, D,
Salam, M U, Khangura, R K, Diggle, A J, Barbetti, M, Michael, P, Berlandier, F, Valentine, C, Shea, G,
Riethmuller, G, Alam, R, Hamilton, G, Hawksely, J, Smith, P, Neve, P, Flugge, F, Abadi, A, Powles, S,
Glencross, B, Curnow, J, and Hawkins, W. (2002), Crop Updates 2002 - Oilseeds. Department of
Agriculture, Perth. Conference Proceeding.
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Authors
David Eksteen, K. Neil Harker, George W. Clayton, Keith Downey, Keith Alcock, Kevin Walden, Beven
Addison, Peter Carlton, Kevin Morthorpe, Stephen Addenbrooke, Alex Ford, S. Hasan Zaheer, G. Walton,
Imma Farré, Paul Carmody, J. A. Fortescue, D. W. Turner, B. Tan, Margaret C. Campbell, Ian Pritchard,
Richard W. Bell, K. Frost, Mike Wong, Ross Brennan, Roger Jones, Jenny Hawkes, Debbie Thackray, Moin
U. Salam, Ravjit K. Khangura, Art J. Diggle, Martin Barbetti, Phil Michael, Françoise Berlandier, Chriatiaan
Valentine, Greg Shea, Glen Riethmuller, Rafiul Alam, Greg Hamilton, Jo Hawksely, Patrick Smith, Paul Neve,
Felicity Flugge, Amir Abadi, Stephen Powles, Brett Glencross, John Curnow, and Wayne Hawkins
This conference proceeding is available at Research Library: https://researchlibrary.agric.wa.gov.au/crop_up/17
ISSN 1445-0592
2002
OILSEED UPDATES
WESTERN AUSTRALIA
PRESENTED AT THE SHERATON HOTEL, PERTH
WESTERN AUSTRALIA, 20-21 FEBRUARY 2002
Compiled and edited by David Eksteen
© Chief Executive Office
Department of Agriculture, Western Australia 2002
Permission of the publisher is required for articles being reproduced or presented.
Unregistered pesticides and uses: This document reports the results of some research where the
product, or the use reported for that product, is not currently registered. Any discussion of these uses
does not constitute a recommendation for that use. All pesticide use must be in accord with the
registered uses for that product.
OILSEED UPDATES, 2002
Table of Contents
Page
FOREWORD AND ACKNOWLEDGMENTS
iii
Dave Eksteen
PLENARY SESSION
1.
GMO canola - Track record in Canada
Neil Harker, George W. Clayton and R. Keith Downey
1
2.
GM canola - Prospects in Western Australia farming systems
Keith Alcock
5
3.
Diamondback moth (DBM) in canola
Kevin Walden
11
CANOLA AGRONOMY
1.
Getting the best out of canola in the low rainfall central wheatbelt
Bevan Addison and Peter Carlton
14
2.
Canola variety performance in Western Australia
Kevin Morthorpe, Stephen Addenbrooke and Alex Ford
17
3.
Relative performance of new canola varieties in Department of Agriculture variety
trials in 2000 and 2001
S. Hasan Zaheer and Graham Walton
19
4.
Which canola cultivar should I sow?
Imma Farré and Bill Bowden
26
5.
The effect of seed generation and seed source on yield and quality of canola
Paul Carmody
28
6.
The accumulation of oil in Brassica species
J.A. Fortescue, D.W. Turner and B. Tan
30
7.
Potential and performance of alternative oilseeds in WA
Margaret C. Campbell
32
8.
Comparison of oilseed crops in WA
Ian Pritchard, Paul Carmody and Margaret C. Campbell
35
9.
Identifying constraints to canola production
Dave Eksteen
37
Boron - Should we be worried about it?
Richard W. Bell, K. Frost, Mike Wong and Ross Brennan
40
10.
PEST AND DISEASE
1.
Yield losses caused when Beet Western Yellows Virus infects canola
Roger Jones and Jenny Hawkes
42
2.
Influence of climate on aphid outbreaks and virus epidemics in canola
Debbie Thackray, Jenny Hawkes and Roger Jones
44
3.
The annual shower of blackleg ascospores in canola: Can we predict and avoid it?
Moin U. Salam, Ravjit K. Khangura, Art J. Diggle and Martin J. Barbetti
47
i
Page
4.
Environmental influences on production and release of ascospores of blackleg and
their implications in blackleg management in canola
Ravjit K. Khangura, Martin J. Barbetti , Moin U. Salam and Art J. Diggle
50
5.
WA blackleg resistance ratings on canola varieties for 2002
Ravjit Khangura, Martin J. Barbetti and Graham Walton
55
6.
Bronzed field beetle management in canola
Phil Michael
57
7.
DBM control in canola: Aerial versus boom application
Paul Carmody
59
8.
Effect of single or multiple spray treatments on the control of Diamondback moth
(Plutella xylostella) and yield of canola at Wongan Hills
Françoise Berlandier, Paul Carmody and Christiaan Valentine
62
9.
GrainGuard - A biosecurity plan for the canola industry
Greg Shea
64
ESTABLISHMENT
1.
Large canola seed is best, particularly for deep sowing
Glen Riethmuller, Rafiul Alam, Greg Hamilton and Jo Hawksley
66
2.
Canola establishment with seed size, tines and discs, with and without stubble
Glen Riethmuller, Rafiul Alam, Greg Hamilton and Jo Hawksley
68
WEEDS
1.
Role for Roundup Ready® canola in the farming system
Art Diggle, Patrick Smith, Paul Neve, Felicity Flugge, Amir Abadi and
Stephen Powles
70
FEED
1.
Getting value from canola meals in the animal feed industries: Aquaculture
Brett Glencross, John Curnow and Wayne Hawkins
ii
73
Foreword
The 1999 season produced a record canola crop of 960,000 tonnes. The crop decreased in 2000 to
550,000 tonnes with the price of canola falling to around $300 per tonne. The price started rising
markedly at the start of the 2001 season. The weather was not kind with large areas having late
opening rains. Those that got off to an early start experienced a dry spell just after emergence.
Diamondback moths became a problem for the early sown Northern Region growers with canola
having to be sprayed up to three times. By mid-season the yield estimate had dropped to 300,000
tonnes as dry conditions continued in the northern and western areas. Finally the rains came. The
Southern region had a mild winter followed by a mild spring. The rain continued into summer, with
some coastal farmers experiencing large losses due to waterlogging.
The canola matured very slowly in the Southern area with cool moist conditions providing an extended
growing season. The canola Department of Agriculture trials at Esperance required chemical
desiccation, as they would not dry off sufficiently to allow direct harvest. Although most of the farming
community experienced great difficulty in harvesting their crops, the canola proved to be a relatively
easy crop to harvest with no down grading occurring.
Record yields were experienced in the medium to high rainfall regions with record oils. The summary
of deliveries tells the story:
Geraldton Port Zone:
32,000 tonnes, 42% oil, 3% admixture.
Fremantle Port Zone:
90,000 tonnes, 42% oil, 1.3% admixture.
Albany Port Zone:
150,000 tonnes, 43% oil, 1.3% admixture.
Esperance Port Zone:
110,000 tonnes, 45% oil, 0.9% admixture.
The development of more highly resistant varieties to Blackleg with high oil contents has placed
canola on a firm footing in the medium to high rainfall regions. The challenge still lies in getting
suitable varieties for the low rainfall regions and in developing a management strategy for
diamondback moth in the central and northern region. Canola remains a vital rotational crop in the
farming system and as the constraints to production are identified and solutions sought, canola will
remain an important component of the landscape. The 2002 Crop Updates again leads the way in
ensuring that producers receive the latest R&D results and can confidently plan their 2002 sowing
program.
ACKNOWLEDGMENTS
My sincere thanks to all the contributors for their fantastic effort to meet the deadlines, especially with
the delayed harvest in the southern region.
Special thanks to Pam Burgess for her huge effort to compile all these papers by the deadline, and to
Chiquita Butler for typesetting it.
Dave Eksteen
ACTING MANAGER
OILSEEDS PRODUCTIVITY AND INDUSTRY DEVELOPMENT
iii
GMO canola - Track record in Canada
K. Neil Harker and George W. Clayton, Agriculture and Agri-Food Canada, Lacombe
Research Centre, Lacombe, Alberta
R. Keith Downey, Agriculture and Agri-Food Canada, Saskatoon Research Centre,
Saskatoon, Saskatchewan
INTRODUCTION
Genetically modified organisms (GMOs) have received extraordinary attention over the last few years.
Some fear that the introduction of GMOs have brought considerable, negative short- and long-term
environmental and health consequences. Others feel that GMOs have resulted in production efficiencies
and increased environmental sustainability, i.e. less tillage, less pesticide use, and continued increases in
crop productivity. In Canada GMO canola has been on the market since 1995 and has increased to more
than 50% of the entire canola market. Canadian canola producers have four different herbicide tolerant
(HT) systems to choose from. About 40% of the canola acreage is sown to transgenic Roundup
(glyphosate) HT varieties, while the transgenic Liberty (glufosinate) and the mutant Pursuit or Clearfield
(imidazolinone) systems each make up about 15-16% of the crop. Thus far, the more recently introduced
transgenic bromoxynil-tolerance system has occupied only a relatively small area.
GMO canola technology (transgenic) has been rapidly adopted in Canada because it is considered
effective and economical. Given the alternative herbicide modes of action available with HT systems,
some growers have utilised GMO canola to delay the development of herbicide resistance in weed
populations. Gene stacking, resulting from pollen flow, has occurred in commercial fields where different
systems have been grown side by side or in close proximity. However, all volunteer canola plants
(transgenic, mutated and conventional), are readily controlled with standard phenoxy herbicides in
pre-seed burn-off treatments, in cereal crops and in chemical fallow land. Some researchers and
producers have been slow to accept that glyphosate must now be viewed as a selective rather than a
non-selective herbicide.
In this paper we report on experiences with, and short-term consequences of, GMO canola in western
Canadian cropping systems. We also attempt to suggest how our experiences with GMO canola may
impact GMO canola adoption decisions in Australia.
HERBICIDE TOLERANCE
The first marketed GMO trait in Canadian canola was herbicide tolerance (HT). The weed management
benefits in GMO canola have been considerable in areas where ‘difficult’ weeds such as false cleavers
(Galium spurium) or stork’s bill (Erodium cicutarium) are present. Canola relatives such as wild mustard
(Brassica kaber) and stinkweed (Thlaspi arvense) can also be difficult problems in conventional canola,
although the use of ethametuslfuron has provided some relief in that regard. Some GMO canolas also
provide weed management advantages for control of perennial species such as quackgrass (Elytrigia
repens) and Canada thistle (Cirsium arvense). Where relatively ‘easy-to-control’ weed populations
predominate [e.g. wild oat (Avena fatua) or wild buckwheat (Polygonum convolvulus)], there appears to be
no advantage in using HT canolas. Plot research indicates that canola yields are higher with HT canola
treatments at some locations and similar to standard treatments such as sethoxydim plus ethametuslfuron
at other locations (Derksen et al. 1999, Harker et al. 2000). Therefore, GMO herbicide tolerant canolas
are more useful in some areas than others. Since the introduction of HT canolas, farmers have been able
to grow canola in fields with weed infestations that previously would have been prohibitive to canola
production. The question remains, “Do we really need GMO herbicide-tolerant canola?”
What is the potential adoption level of GMO canola in Australia? In the western Australia wheatbelt, the
almost complete dominance of triazine-tolerant canola varieties (Hashem et al. 2001) suggests that weed
management requirements are much different in Australia than in Canada. In Canadian spring-planted
canola, it is often sufficient to apply a single non-residual herbicide relatively early in the canola growth
cycle (Clayton et al. 2002) and then depend on rapid canola growth and canopy closure to augment
herbicide performance and prevent further significant weed interference. Fall-planted canola in Australia
grows much slower and competes much less vigorously with weeds; thus the need for strong residual
herbicide activity. Therefore, the economics of several applications of glyphosate to Roundup Ready
canola or of glufosinate to Liberty Link canola require careful comparison with the current standard triazine
treatments.
WEED RESISTANCE
In western Canada, there are two monocot [wild oat (Avena fatua) and green foxtail (Setaria viridis)] and
nine dicot weed species that are resistant to herbicides. The probability of finding ACCase resistant wild
oat in random samples of any treated annual crop field in western Canada is approximately 50% (personal
correspondence: Hugh Beckie). However, the high level of adoption of GMO canola in western Canada
may have led to somewhat of a reprieve in terms of selection intensity for further weed resistance
build-up. Of the three herbicide-tolerant canolas, glufosinate-tolerant canola seems to provide the best
management option to avoid development of herbicide resistant weeds. In western Canada, glufosinate is
employed almost exclusively in glufosinate-tolerant canola, therefore selection intensity for resistance is
minimal. The same cannot be said for glyphosate- and imidazolinone-tolerant canolas. Glyphosate and
imidazolinones are used in many cropping situations other than HT canola. Weed resistance to
imidazolinone and sulfonylurea herbicides is already considerable. Weed resistance to glyphosate has
not been reported in Canada thus far, but resistance to glyphosate is probably inevitable in Canada.
Therefore, increased usages of glyphosate and imidazolinones in tolerant canolas will increase the risk of
selecting tolerant weed biotypes.
In Australia, rigid ryegrass (Lolium rigidum) resistance to glyphosate has been confirmed (Powles et al.
1998). The considerable benefits from the potential adoption of glyphosate-tolerant canola in Australia
should be weighed carefully with the consequences of increased selection intensity for further weed
resistance to glyphosate.
POLLEN FLOW
Canola pollen is relatively ‘sticky’ and heavy but because of its minute size a small portion can become
airborne and float on the wind. In addition, bees and other insects can effect considerable pollen transfer
to other canola plants and plants of other species. Small amounts of pollen may also be transferred via
fur and clothing. Careful management of breeders plots and the prevention of admixtures is important to
contain GMO canola traits. Because there are so many agents and opportunities for pollen flow,
outcrossing, although erratic and limited, is inevitable. The important question is “How much outcrossing
will be acceptable?” The following factors can all influence outcrossing: distance between donor and
recipient fields, relative size of donor and recipient fields, synchrony of flowering, rainfall, wind direction,
temperature, and pollinators. Optimal outcrossing occurs when small (low pollen supply) recipient fields
are beginning or ending flowering (low pollen supply) and adjacent large donor fields (high pollen supply)
are in full flower. Therefore, flowering synchrony is not necessarily optimal for outcrossing. Two adjacent,
large fields in synchronous flower would have limited outcrossing except at field margins. Careful
management and crop rotation choices are required to manage pollen-flow risks. Canola seed companies
and breeders must be extra vigilant to ensure their varieties are pure and as free as possible of HT genes
from foreign sources. Breeder seed production is best done in a confined area where immuno test sticks
or PCR are used to ensure each plant is the correct HT or susceptible genotype.
In western Canada the risk of outcrossing and gene transfer to related weedy relatives of B. napus is very
low (Bing et al. 1991, Lefol et al. 1997). Although interspecific crossing among B. napus, B. rapa and
B. juncea has long been known to occur in nature, all three species are grown in western Canada as
commercial crops and therefore are not present in the weedy form. On the other hand, wild mustard
(Sinapis arvensis) is a widespread and persistent weed. Studies have shown that the cross B. napus by
S. arvensis is a difficult cross to make and where hybrids have been obtained they were weak and largely
sterile. Given the data to date there appears to be little or no natural gene flow occurring between these
two species. A hybrid plant has also been obtained from the interspecific cross B. napus x dog mustard
(Erucastrum gallicum), a minor weed in western Canada (Lefol et al. 1997). Although the hybrid was
weak and would not likely survive in the wild it did set seed when pollinated by E. gallicum. Visual and
cytological examination of the backcross progeny indicated they were poor competitors and apparently
had reverted to the E. gallicum genotype. Fortunately other weedy relatives are not present (hoary
-2-
mustard, Hirschfelfdia incana) or are rare (wild radish, Raphanus raphanistrum and black mustard,
Brassica nigra) in western Canada.
What are the pollen flow risks in Australia? Wild radish is a major weed in Australian canola. However,
even though Lefol et al. (1997) reported that B. napus and wild radish hybrids were vigorous, they were
also mostly sterile. Also, French scientists (Chèvre et al. 1997 and Chèvre, personal communication)
have found significant barriers to the introgression of B. napus marker genes as well as a herbicide
tolerant gene into the genome of wild radish. Weed experts in Australia are best to comment on additional
B. napus outcrossing risks with Australian weeds. Although pollen-flow was not implicated, the discovery
of a triazine-resistant wild radish biotype from the northern zone of the western Australia wheatbelt
(Hashem et al. 2001) will surely influence the GMO canola risk/benefit equation. If weed resistance
eventually limits triazine use in significant canola areas, there will be a greater incentive to employ other
herbicide mode of action groups including those that are utilised for transgenic canolas.
As discussed above, some pollen flow between adjacent canola crops is inevitable. Multiple resistant
canola volunteers (Hall et al. 2000) or the movement of transgenes into neighbouring production areas are
also inevitable once GMO canola is introduced. The former phenomena has not proven too difficult to
manage in Canada, whereas the latter phenomena may or may not be as manageable depending on
tolerance levels set for non GMO crops.
SURVEY
In 2000, the Canola Council of Canada commissioned a survey to answer some questions regarding GMO
canola (Canola Council of Canada 2001). The survey included 650 canola growers, half of which grew
transgenics and half of which grew standard varieties. The main reason growers chose the transgenic
route was superior weed control. The main reason growers chose the standard route over transgenics
was the cost of the technology use agreement (TUA - only applicable for Roundup Ready canola). The
cost of seed ($11.16/ha more expensive) and fertiliser ($4.25/ha more) were slightly higher for transgenic
growers. On the other hand, the use of herbicides, tillage, and fuel were all reduced for transgenic
growers. There was a 40% reduction in herbicide costs for transgenic growers, 15% more transgenic
growers employed direct seeding (direct drilling), and the lower tillage required substantially reduced fuel
costs for transgenic growers. Transgenic growers also had 10% higher yields and lower dockage (3.8%
versus 5.1%). Returns for transgenic growers were $14.33/ha higher. Overall, the survey indicates that
GMO canola provides opportunities for enhanced production and profits as well as environmental benefits
(soil conservation and reduced fuel and pesticide use).
GMOs AND DIVERSITY
There are questions related to the adoption of GMO canola that cannot be answered in the short-term;
indeed the same is true with regard to the consequences of adopting any new technology. Should we
learn that GMO canola does not cause unmanageable outcrossing problems, or that GMO transgenes are
not incorporated into unrelated organisms, or that there are no significant health or environmental risks to
GMO canola, what are the consequences of unprecedented levels of weed control? If repeated
applications of herbicides such as glyphosate allow the removal of almost every weed in a canola field,
and canola represents 99.9% of the plant species in a given field, will other organisms in the ecosystem
be affected? What about interdependent bird, insect, soil macro fauna, and soil microbe food chains
(Taylor and Maxwell 2001)? Are there weeds that some of these organisms require as a food substrate?
How many of these organisms will remain when the only plant food substrate in large fields is canola? Are
there microbial populations involved in nutrient cycling that will be adversely affected by lower ecosystem
diversity? Is ecosystem diversity as important in space as it is over time? These questions are
interesting, important, and, as yet, unanswered.
It is important to note that cropping practices in western Canada are constantly changing. Canola has
never been the only crop grown. In addition to the dominant cereal production, pulse crops such as peas,
lentils and chickpeas have been introduced and widely adopted in the rotation. These legumes have
provided a new and valuable food source for birds, insects and wild life. In addition, these extensive
legume plantings have resulted in desirable modifications to the soil micro flora (Lupwayi et al. 1998).
Recent shifts to more livestock-pasture, minimum or zero till cultivation and continuous cropping have
-3-
provided greater refuge and diversity in ground cover for insects and wild life. Thus, although relatively
weed-free canola may reduce the spectrum of plant species in a GMO canola field, the adjoining field may
be an even more desirable and sustaining source of food and shelter than in recent years.
There may be questions as to the ecological impact of GMO canola; these must be answered in the
context of entire landscapes and cropping systems. To date the ecosystem has proved to be very
resilient.
LITERATURE CITED
Bing, D.J., R. Downey and G.F.W. Rakow (1991). Potential of gene transfer among oilseed Brassica and
their weedy relatives. Proc. 8th Interm. Rapeseed Cong. Saskatoon pp. 1022-1027.
Canola Council of Canada (2001). An agronomic and economic assessment of transgenic canola.
[Online] Available: http://www.canola-council.org/production/gmo_toc.html [14 January 2002].
Chèvre, A-M., F. Eber, A. Baranger, and M. Renard (1997). Gene flow from transgenic crops. Nature
389: 924.
Clayton, G.W., K.N. Harker, J.T. O’Donovan, M.N. Baig and M.J. Kidnie (2002). Glyphosate timing and
tillage system effects on glyphosate-tolerant canola (Brassica napus). Weed Technol. (In Press).
Derksen, D.A., K.N. Harker and R.E. Blackshaw (1999). Herbicide tolerant crops and weed population
dynamics in western Canada. Proc. of 1999 Brighton Conference on Weeds. Brighton, UK. Vol.
2: 417-424.
Harker, K.N., R.E. Blackshaw, K.J. Kirkland, D.A. Derksen and D. Wall (2000). Herbicide-tolerant canola:
Weed control and yield comparisons in western Canada. Can. J. Plant Sci. 80: 647-654.
Hall, L., K. Topinka, J. Huffman, L. Davis and A. Good (2001). Pollen flow between herbicide-resistant
Brassica napus is the cause of multiple-resistant B. napus volunteers. Weed Sci. 48: 688-694.
Hashem, A., H.S. Dhammu, S.B. Powles, D.G. Bowran, T.J. Piper and A.H. Cheam (2001). Triazine
resistance in a biotype of wild radish (Raphanus raphanistrum) in Australia. Weed Technol.
15: 636-641.
Lefol, E., G. Seguin-Swartz and R.K. Downey (1997). Sexual hybridisation in crosses of cultivated
Brassica species with Erucastrum gallicum and Raphanus raphanistrum: Potential for gene
introgression. Euphytica 95: 127-139.
Lupwayi, N.Z., W.A. Rice and G.W. Clayton (1998). Soil microbial diversity and community structure under
wheat as influenced by tillage and crop rotation. Soil Biol. Biochem. 30: 1733-1741.
Powles, S.B., D.F. Lorraine-Colwill, J.J. Dellow and C. Preston (1998). Evolved resistance to glyphosate in
rigid ryegrass (Lolium rigidum) in Australia. Weed Sci. 46: 604-607.
Taylor, R.L. and B.D. Maxwell (2001). Indirect effect of herbicides on avian food resources and beneficial
arthropods. Proc. West. Soc. of Weed Sci. Paper #71, Coeur d= Alene, Idaho, 13-15 March.
-4-
GM canola - Prospects in Western Australia
farming systems
Keith Alcock, Crop Improvement Institute, Department of Agriculture, South Perth
SUMMARY
The canola industry in Western Australia is highly aware of the multiplicity of issues both positive and
negative associated with GM canola. Many of these have become clearer as a result of Canadian
experiences and the industry is grateful to have the benefit of the Canadian ‘trial marketing’. This
experience and the comprehensive regulatory scrutiny that will be applied before GM canola will be
licensed for commercial release in Australia provides the assurance that GM canola is safe to human
health and to the environment.
Analyses of world markets have consistently indicated that GM canola can be successfully sold on
export markets and that there are no significant price discounts over non-GM canola. There are
market access issues in some markets, notably in Europe where only non-GM is permitted. The
Australian domestic market currently holds the same position as in Europe. Accordingly, there is an
incentive for the Australian canola industry to develop separate paths-to-market for GM and non-GM
canola.
The industry has established a committee structure with Western Australia and Eastern States ‘nodes’
to develop a ‘Code of Practice’ governing the introduction of GM canola to ensure that effective
segregation and ‘identity preservation’ is achieved to market standards of purity. On available
evidence, the requisite degree of protection of the integrity of GM and non-GM production will be
achievable without the need to separate GM and non-GM into different regions or even between farms
or on the same farm. The industry is currently working cooperatively to further test and develop the
Code of Practice ahead of the anticipated first release of GM canola in Australia in 2003.
INTRODUCTION
Current expectations are that Monsanto and Aventis will be submitting clearance applications by the
middle of this year for the commercial release of GM canola varieties in all canola-growing States. On
the basis of processing schedules proposed by the Office of the Gene Technology Regulator (OGTR)
in Canberra, the companies are hopeful of seed sales and commercial production in the 2003 season.
In anticipation of OGTR approval, current planning indicates that initial availability of seed is certain to
be limited and the focus will be more on seed multiplication and demonstration sites in 2003. This is
especially the case in Western Australia as the canola cultivars under development in the company
programs tend more towards mid- to long-season types and there have been limited opportunities for
varietal development trials under Western Australia conditions. Accordingly, the earliest that
commercial production of GM canola in Western Australia could be anticipated is 2004, two seasons
away.
This allows the canola industry, the broader population and rural and urban communities time for
further consideration of the issues surrounding the technology. Paramount in this area is the current
community consultation process initiated by the Minister for Agriculture, Forestry and Fisheries, the
Hon. Kim Chance MLC into ‘Genetic Modification-Free Zones’ as a means of protecting the integrity of
both GM and non-GM production. This paper reviews the canola industry views on the production and
marketing issues as developed through the GM Canola Technical Working Group, which consists of
the Canola Association of Western Australia, the Western Australian Farmers Federation, the
Pastoralists and Graziers Association of WA, The Grain Pool of WA, Cooperative Bulk Handling Ltd,
the Biotechnology Committee of Avcare. The Australian Quarantine and Inspection Service and the
Department of Agriculture. The focus of the paper is on two questions, is the technology safe and
does it make economic sense in Western Australia?
SAFETY
Issues of occupational health, consumer safety and environmental impact are key objectives of the
Gene Technology Act 2000. The Act describes the framework for the Australian system of regulation
for GMOs and is administered by the Office of the Gene Technology Regulator (OGTR) which is
headed by the Gene Technology Regulator (GTR). The GTR will decide upon submissions for
-5-
licensing laboratory, glass house and field trial testing through to general release of GM crops and
commercial cultivation. The GTR is required to prepare a risk assessment and risk management plan
for all licence applications in addition to determining measures necessary to manage any such risks.
Where labelling of GM foods is at issue, the Australia and New Zealand Food Authority (ANZFA) will
develop and enforce appropriate food standards though Food Standard A18 which requires both
pre-market assessment and labelling of GM food. In the case of herbicide-tolerant crops, the National
Registration Authority (NRA) will continue its role in regulating chemical usage.
The Gene Technology Act 2000 provides that a Ministerial Council on Gene Technology,
(Commonwealth and State body) may issue policy principles in relation to particular issues such as
recognising areas, if any, designated under State laws for the purpose of preserving the identity of GM
crops, non-GM crops or both for marketing purposes. Such policy principles underpin the activities of
the GTR and the operation of the regulatory framework. The Ministerial Council will also consider and
agree changes, as required, to the national legislative framework, undertake discussions and
coordination with other Ministerial Councils on matters related to gene technology regulation, advise
the Commonwealth on the appointment and dismissal of the GTR, and oversee periodic reviews of the
legislative framework.
Three key advisory groups have been established to assist the GTR and the Ministerial Council on
Gene Technology:
Gene Technology Technical Advisory Committee (GTTAC)
GTTAC provides scientific and technical advice to the GTR or the Ministerial Council on matters
including gene technology, GMOs and GM products and on applications made under the legislation.
Gene Technology Community Consultative Group (GTCCG)
GTCCG is a broadly based consultative committee established to provide views to the Ministerial
Council and the GTR. This group will cover areas including community concerns regarding gene
technology and the need for, and content of, policy guidelines and codes of practice to the
development of the procedural and policy documents that will guide the GTR’s decision-making.
Gene Ethics Committee (GTEC)
GTEC will provide advice to the GTR and the Ministerial Council on the ethics of gene technology,
appropriate ethics guidelines and any necessary prohibitive directives.
The Legislation provides that licenses can only be issued by the GTR following rigorous scientific risk
assessment and extensive consultation with the expert advisory committees, Government agencies,
Shire Councils and the public.
RISK MANAGEMENT IN FARMING SYSTEMS
In considering health and safety issues, the GTR will examine the broader farming systems risks that
have been widely studied for GM canola. The risks that have been identified relate to the weediness
potential of volunteer canola, the risk of herbicide-tolerance genes outcrossing into weedy cruciferous
species and the risk of over-use of the herbicides leading to selection of herbicide-resistant weeds.
These are discussed in turn below.
Volunteer canola
Volunteer canola can occur as a weed in high numbers in subsequent rotational cropping as a result
of canola seed shedding prior to and during harvest. Volunteer canola is readily controlled in following
cereal crops with knockdown herbicides, and then in-crop by sulfonyl urea or phenoxy herbicides. In a
lupin crop, volunteer canola weeds can be selectively controlled by the use of the herbicide simazine
(if not triazine tolerant varieties), followed by metribuzin, Brodal® and/or Eclipse®. Other options are
available for field pea, chickpea or other pulse crops following canola. In this respect it is easier to
control GM canola volunteers than TT canola volunteers. Under current circumstances, wheat is
probably the preferred crop to grow as the first rotational crop after canola, whether GM or non-GM.
-6-
Based on Canadian experience, multiple herbicide-tolerant (HT) canola is no more weedy or invasive
than single HT or non-HT canola types. The range of herbicides available for control of multiple HT
canola is reduced. However, the choice of an appropriate herbicide for volunteer control will still
readily eliminate these types.
Canola seed can also become a roadside and fenceline weed as a result of seed production by
volunteer plants in paddocks or spillage during loading and transport. It is a plant of ‘disturbed land’
habitats which results in it being easily dominated by other more competitive species when it is
present in areas such as roadsides and fence lines where the soil does not tend to be disturbed. In
this and fallow situations where glyphosate is such a widely-used herbicide, the knockdown can be
‘spiked’ with a Group I herbicide such as 2,4-D or MCPA to control the volunteer canola.
Gene transfer to weedy cruciferous relatives of canola
The possibility of herbicide-tolerance genes spreading from cultivated canola into other cultivated
Brassica species or weedy relatives from the Brassicaceae family creating so-called ‘superweeds’ is
an issue that needs to be considered with the release of GM canola.
This area has been extensively researched, including Australian studies and reviews (Rieger et al.
1999; Salisbury, 2000). Researchers have demonstrated the capacity of canola to outcross in nature
to closely related cruciferous weeds. In terms of Western Australia farming systems, only wild radish
(Raphanus raphanistrum) is in this category. Other cruciferous weeds that do cross with canola in
nature, Buchan weed, Hirschfeldia incana and charlock, Sinapis arvensis, are not weed problems in
Western Australian broadacre systems. Other less closely related weeds such as wild turnip (Brassica
tournefortii) and mustards (Sisymbrium spp.) do not cross with canola in the wild. The key conclusion
from the range of studies carried out is that while isolated instances of hybrids are recorded, such
hybrids are sterile and there is as yet no evidence of canola x wild radish hybrids surviving as weed
species.
Nevertheless, the introduction of GM canola to Australia should acknowledge that hybrids can occur,
that gene flow from canola to weedy species is at least theoretically possible and have in place
appropriate monitoring systems to identify any change in cruciferous weed status.
Selection of herbicide-resistant weeds through over-use of herbicides
There has been keen discussion on the potential for increased use of the herbicide glyphosate, as the
herbicide component of Roundup Ready® canola to pose additional selection pressure for glyphosate
resistance in key weeds. The risk must be acknowledged, especially in annual ryegrass (Lolium
rigidum) as a result of the discovery of a number of populations of glyphosate-resistant ryegrass
(Powles et al. 1998).
It is essential the potential impacts of this are understood and guidelines developed to conserve the
use of such a valuable product for as long as possible. A number of options are already widely
practised as part of ryegrass resistance management. These would particularly include the use of the
alternative knockdown herbicide SpraySeed® as a double knock or as an alternative to glyphosate
pre-seeding or in spraytopping.
Alternatives options for ryegrass resistance management, based on the application of glyphosate as a
pre-seeding operation with or without the application in Roundup Ready® canola, are currently being
intensively studied at Charles Sturt University, together with supporting trials being undertaken in
Western Australia. The strategy outcomes from this research will be included as an integral part of the
Crop Management Plan for Roundup Ready® canola.
The resistance management case for glufosinate-ammonium, or Liberty®, is clearer. It represents a
novel mode-of-action in Western Australian broadacre cropping systems and its use in Liberty Link®
canola will broaden the herbicide resistance management options available to graingrowers.
The major use of Liberty® in Australia is as an effective broad spectrum herbicide in horticulture.
Overseas, including in Canadian and US, Liberty Link herbicide-tolerant crops, it has proven a safe
and effective product that has demonstrated a low risk of weeds developing herbicide-resistance.
-7-
ECONOMIC BENEFITS
Canadian experience (Canola Council of Canada, 2001) indicates 10% higher yields on average for
GM varieties over non-GM, and higher quality as expressed by lower dockages. In Western Australia,
where triazine tolerant (TT) varieties dominate, the inherent ‘yield drag’ of 10-20% and downward
pressure on oil content provides further scope for GM varieties to deliver increased yield and quality
benefits than in Canada. However, in the absence of any published data on the potential yield and
quality benefits from the GM canola varieties under development in Australia it is difficult to do more
than speculate on the likely increases in returns.
The same applies for costs. The same Canadian studies point to substantial (40%) reduction in
herbicide costs but seed costs were generally higher and for Roundup Ready® canola there was an
additional technology license fee to be paid. Clearly, there is substantial potential for increased
returns to farmers. It is to be hoped that the companies settle on terms that provide for an equitable
sharing of the benefits.
The potential for recombinant DNA technologies to introduce new traits unavailable to conventional
plant breeders is seen as providing options for GM canolas with modified oil content to produce
‘healthier’ cooking or salad oils and ‘designer oils’ for non-food uses, such as industrial and
pharmaceutical active ingredients or feedstocks (Green and Salisbury, 2001). The development of
high erucic acid canola varieties for biodiesel production is a current example and offers expanded
markets and potential price premiums.
The increased medium to long-term potential for GM crops to capture productivity and price premiums
in the marketplace is in accord with the conclusions of the 2001 ABARE study into market implications
(Foster, 2001).
FARMING SYSTEMS BENEFITS
There can be greater immediate certainty on the farming systems benefits of GM canola technology
both from the traits under development now and the potential into the future. Effective weed
management is a prerequisite to the continuing success of Western Australian minimum tillage
systems, as the intensity of the battle with herbicide resistant weeds attests. The key to managing
herbicide resistance is integration of a variety of control measures, chemical and non-chemical, across
the rotation. Each rotation phase needs effective tools and in canola in Western Australia at present,
the Group H herbicide atrazine effectively is that tool. Triazine tolerant (TT) canola, currently accounts
for over 90% of the Western Australian crop
The sustainability of atrazine as the herbicide in this system is under threat from the development of
resistance in the key weeds annual ryegrass and wild radish. While such populations are as yet
isolated, the rapidity with which herbicide-resistant weeds can escalate is only too familiar to Western
Australian growers who use Group A and Group B products. The central role of the related Group H
product simazine in lupins increases the triazine resistance selection potential. The introduction of
imidazolinone-resistant Clearfield® canola provides some relief, but as a Group B product, to which
resistant ryegrass and radish are widespread, the benefits are greatly lessened in managing these two
weeds. For canola to continue in Western Australian crop rotations, farmers need another superior
herbicide option. The availability of Liberty® and especially glyphosate as in-crop alternatives in
canola is the scale of impact required to reverse the current increase and spread of triazine-resistant
weeds and to sustain the crop in the rotation.
DELIVERING THE BENEFITS, MINIMISING THE RISKS - IDENTITY
PRESERVATION
The Canadian experience with GM canola demonstrates that there can be multiple benefits from the
introduction of GM varieties. The canola industry in Western Australia has clearly recognised the
potential, but has also identified a preferred option, at least in the short to medium term, of retaining
the ability to supply both GM and non-GM canola according to market demands. In research carried
out by the Grain Pool with their customers (Peter Portmann, pers. com.) and published data, there is
limited evidence of market premiums for non-GM canola. Premiums that may occasionally be
available are likely to be outdone by production benefits (Foster, ibid). However, for the foreseeable
future there are market access (as against price) issues in Europe that support a segregated supply
-8-
chain approach. This strategy is fully in accord with Minister Chance’s intention to protect the integrity
of GM and non-GM crop production in the State.
The Australian canola industry through the Western Australian GM Canola Technical Working Group
and the Eastern States counterpart, the Eastern Zone Gene Technology Grains Committee, has
focused on phasing in GM canola through separate production and marketing streams. The two
committees are currently developing a Code of Practice for supply chain management of GM and
non-GM canola. The target of this segregation and ‘identity preservation’ (IdP) system is in meeting
market specifications for non-GM canola of no more than 1% ‘adventitious presence’ of GM material
(AFFA, 2001).
Calculations of the cost of IdP systems currently in use in grain-based production have been estimated
at from 0.6-5% of the commodity price (Fernandez and Smith, 2002). Within this range of costs were
examples of differentiation between GM and non-GM product. The canola industry is anxious to aim
for the lower end of this scale, consistent with meeting market demands. The industry acknowledges
that in instances where IdP costs are associated solely to facilitate GM canola introduction then the
costs should be met by the GM growers as much as possible. At the same time, it is acknowledged
that QA and IdP systems are increasingly important as a means of maintaining access to
highest-paying markets and capturing price premiums for quality, irrespective of the introduction of GM
crops. Accordingly, non-GM growers wishing to maximise their returns will not be isolated from this
general trend.
The Code of Practice is supported at all levels in the canola supply chain and will be audited by an
approved third party. It is being developed in conjunction with the Joint Accreditation System for
Australia and New Zealand (JASANZ) and with AQIS to provide the backing of key organisations that
the market is looking for in certifying compliance with their requirements.
The national industry welcomes the fact that there will be at least one and, in Western Australia,
probably two more seasons to develop, test and validate the proposed IdP system since this will allow
time for responsibilities to be met by all stages of the canola supply chain. Looking at the stages as
‘pre-farm’, ‘on-farm’ and ‘post-farm’, some of the issues that have been identified are described below.
Seed production and distribution
There are well-established codes of practice in the seeds industry that govern seed production and
distribution. The Seeds Industry Association of Australia is affiliated with the international standards
and compliance organisations (OECD/AOSCA) and would administer standards as agreed by the GM
regulatory authorities (OGTR).
Crop production, on farm storage delivery to receival
It is intended that the basis for on-farm IdP will be ‘Crop Management Plans’ set in place by the
biotechnology companies supplying the technology. The plans will set out ‘good agricultural practice’
in paddock preparation, seeding, crop agronomy and will cover herbicide resistance management,
crop volunteer management, crop rotational strategies, machinery hygiene and maintenance, farm
record management, on farm storage and transport principles. On-farm planning, hygiene and
record-keeping will be the key to keeping GM and non-GM canola production apart, as there are so
many operational steps in crop production where inadvertent admixture can occur.
Cross-pollination potential in the field
Part of the challenge of minimising opportunities for admixture of GM with non-GM will be
management of cross-pollination potential from neighbouring crops. The GM Canola Technical
Working Group information paper (GMCTWG, 2001) reviewed cross-pollination studies in canola
carried out in four Australian States in the 2001 season by the CRC for Australian Weed Management
(Rieger, 2001). The Working Group observed that no single data point from the Australian trials
exceeded the most stringent world standards of 1% unintended presence, even where the paddocks
were side-by-side and sampling took place along the immediate boundary. It was concluded that this
was consistent with world literature on the subject (including Salisbury ibid), and that the likely level of
cross-pollination is estimated to be of the order of 0.1% in adjacent paddocks, well within market
standards. The most advanced systems of DNA based GM testing has a limit of detection of GM
presence in a non-GM sample of 0.1% (and a cost of $200-600 per test). In the majority of cases,
cross pollination even across a fenceline would be below the limits of detection.
-9-
From receival to market
The current view of Cooperative Bulk Handling Ltd (David Fienberg, pers. com.) is that in the first
2-3 years, when GM canola hectarages were low, CBH would set up dedicated bins at specified
receival sites. The CBH Q-Track system could ‘flag’ growers with GM crop and put in place the most
cost-effective monitoring and testing of deliveries. The approach is in accord with the Grain Pool’s
drive to capture market premiums through QA and IdP.
Working with the Grain Pool, CBH have initiated a pilot study this season (using a new variety of
non-GM canola) to test their model of a least cost but fully effective segregation and IdP system
though all stages from ‘gate to plate’, which is seen as a necessity in the short term. In the longer
term, the Canadian model of not segregating GM from non-GM for the main crop may well emerge,
with IdP systems only used to capture price premiums. Such is certainly the case now with ‘specialty
oil’ canolas such as the high oleic acid Monola varieties, and is likely to increase as further
diversification options identified in ‘healthier’ canolas and industrial oils, both GM and non-GM based,
will become the key to industry growth and prosperity.
LITERATURE CITED
Agriculture Fisheries Forestry Australia (2001). Segregating Gene Technology Products Requirements, Costs and Benefits of Identity Preservation, Segregation and Certification.
[Online]: http://www.affa.gov.au/corporate_docs/publications/pdf/innovation/Scoping_
study_report.pdf.
Canola Council of Canada (2001). An agronomic and economic assessment of transgenic canola.
[Online]: http://www.canolacouncil.org/production/gmo_toc.html.
Foster, M. (2001). Genetically Modified Grains: Market Implications for Australian Grain growers.
ABARE Research Report 01.10, Canberra.
Fernandez, M. and Smith, K. (2002). Knowing where it’s going. Proceedings from a Workshop
sponsored by Pew Initiative on Food and Biotechnology and Economic Research Service of the
US Department of Agriculture. [Online]: http://pewagbiotech.org/events/0911/marketingsummary.pdf
GM Canola Technical Working Group (2001). Genetically Modified Canola in Western Australia:
Industry Issues and Information. [Online]: http://www.agric.wa.gov.au/biotechnology/
gmcanola/index.htm.
Green, A. and Salisbury, P. (2001). Novel plant products from gene technology. 10th Australian
Agronomy Conference, Hobart, Australia, 2001.
Powles, S.B., Lorraine-Colwill, D.F., Dellow, J.J. and Preston, C. (1998). Evolved resistance to
glyphosate in rigid ryegrass (Lolium rigidum) in Australia. Weed Science 46: 604-607.
Rieger, M.A., Preston, C. and Powles, S.B. (1999). Risks of gene flow from transgenic herbicideresistant canola (Brassica napus) to weedy relatives in southern Australian cropping systems.
Australian Journal of Agricultural Research 50: 115-28.
Rieger, M.A. (2001). Pollen movement over distance with Brassica napus. Unpublished Report
submitted to CRC for Australian Weed Management, Monsanto Australia and Aventis Crop
Sciences.
Salisbury, P.A. (2000). The myths of gene transfer - a canola case study. Plant Protection Quarterly
15(2): 71-76.
-10-
Diamondback moth (DBM) in canola
Kevin Walden, Department of Agriculture, Geraldton
INTRODUCTION
In the last two seasons the diamondback moth (DBM) (Plutella xylostella) has caused considerable
damage to canola in WA. In 2000 the most severe damage occurred in crops east of Geraldton while
last year damage was reported from locations throughout the Northern Agricultural Region and from
some locations in Central and Southern Regions.
On the world scene, DBM is ranked as the major insect pest of a large number of commercially grown
cruciferous plants, including canola. The annual bill for managing the pest is estimated to be well in
excess of $2 billion.
Will DBM become the major pest of canola in WA? And if so, how will it be managed?
POTENTIAL PEST STATUS
Trials conducted last year demonstrated that during winter the number of DBM larvae in a canola crop
can dramatically increase over a short period of time. A low-density population of less than 10 larvae
in 10 sweeps of an insect net in July can develop into over 1000 larvae in 10 sweeps by September.
The trials also indicated that large numbers of DBM cause both significant yield reductions (in one trial
over 60% of the yield was lost) and affect grain quality (grain weight decreased by up to 30%).
If the large populations of the last two years become the norm then DBM has the potential of
becoming the major pest of canola. Winter temperatures of the last two years have been well above
average enabling DBM to develop quickly and winter rainfall has been below average, which may
have enhanced survival. Whether these are key factors that enable DBM to build up to such large
numbers will be investigated over the coming seasons and will further define its pest status. While we
await a more definitive definition of DBM’s pest status, for the present we will assume that DBM is a
major pest and the Department of Agriculture will develop management strategies accordingly in
consultation with Agribusiness and canola growers.
ASPECTS OF DBM BIOLOGY THAT NEED TO BE CONSIDERED IN THE
DEVELOPMENT OF A MANAGEMENT STRATEGY
Origins
Knowing the origin of DBM outbreaks is fundamental to predicting future outbreaks and developing
resistance strategies if necessary. The key issue is whether DBM can survive in cropping regions
over summer. If they do not survive the key issue becomes from where outside the cropping region do
they originate. It has been stated that in WA outbreaks originate as a consequence of cyclones
forming a ‘green bridge’ of host plants that enables DBM to continue breeding over summer, however,
this was never proved. Extensive surveys last summer and autumn using a grid of pheromone traps
and regular sampling of potential DBM habitats demonstrated that host plants, including wild radish,
that germinated in response to summer rain did not produce any detectable DBM populations.
Investigations aimed at identifying the origins of DBM outbreaks will continue.
Movement
Studies in other countries have indicated that DBM can migrate and disperse over long distances.
Moths can remain in flight for several days and cover hundreds even thousands of kilometres. Major
insect pests in WA, such as the Australian plague locust (Chortoicetes terminifera) and the native
budworm (Helicoverpa punctigera), use migration as a survival strategy to escape from cropping
regions when they become inhospitable then return when conditions improve. It is possible that DBM
moves some distance to establish populations in canola crops. Once breeding begins, the extent of
moth movements and the likelihood of populations being established in other canola crops is not
known.
-11-
Development and survival
The eventual size of a DBM infestation depends on the size of the initial population, the amount of
time available for it to develop, the rate of development and the proportion of insects that survive to
complete each generation. The initial size of a population depends on the number of moths invading
the canola crop and their fecundity. The time available is determined by when the first eggs are laid in
the crop. The rate of development is related to temperature with more generations being completed
during warmer periods. The proportion surviving will depend on the intensity of key mortality factors
such as heavy rainfall and natural enemies.
In 2000, large populations of DBM were established in canola crops soon after germination. In 2001,
populations were not noticeable until mid-July yet there was sufficient time for large populations to
develop. In the Northern Agricultural region DBM can complete more than six generations over winter,
and with female moths able to lay almost 200 eggs, it is possible for large infestations to develop from
a single, low density moth invasion.
There does not appear to be the diversity or abundance of predators and parasites associated with
both DBM and aphids in canola as there is with the native budworm and aphids in lupins.
Consequently it is unlikely that natural enemies will regulate DBM numbers to levels where the use of
insecticides is not required. However, in 2000 a fungal disease (Zoophthora radicans) killed large
numbers of DBM larvae in many canola crops in the Northern Agricultural Region. Although it was
stated that the fungus caused DBM populations to crash in the middle of winter, this was never
proved. Further studies are required to get more definitive information on the potential impact of the
fungus on DBM populations.
Resistance
Throughout the world DBM has developed resistance to insecticides. The situations where this has
readily happened is where the moths have a high fecundity and reproductive potential, where there is
a rapid turnover of generations, a long growing season, extensive areas of crucifers, and frequent
insecticide applications. There is the potential for DBM to develop resistance to insecticides in WA.
Insecticides are used to control DBM not only in canola but also in cruciferous horticultural crops
(e.g. cabbage, cauliflower, broccoli, radish, turnip, Brussels sprouts). The significance of insecticide
treatments in canola and horticultural crops in exacerbating levels of insecticide resistance and how
the potential problem is managed will to a large extent depend on the origins of DBM that invade both
canola and horticultural crops.
Tests on the levels of insecticide resistance of DBM populations from WA canola crops at Burabadji
and Wongan Hills during 1999 indicate very low levels of resistance (resistance ratios* of 5.1 to 6.7).
In 2001, resistance levels of populations tested from canola crops at Tenindewa and Wongan Hills
were much higher (11.5 to 17.2) but not at a level that would result in significant control failures.
However, the levels recorded may have contributed to the lack of acceptable levels of control from a
single insecticide application. Also, the trend of increasing levels of resistance is cause for concern
and given the history of the rapid development of insecticide resistance in DBM, regular monitoring will
be undertaken and a resistance management plan devised.
Resistance ratios are the levels of resistance in the field population being tested compared to a laboratory population that
has not previously been exposed to insecticides.
ASPECTS OF DBM MANAGEMENT PRACTICES THAT NEED TO BE
CONSIDERED
Insecticides
The effectiveness of synthetic pyrethroid insecticides needs to be evaluated again. Trials conducted
at Yuna in 2000 demonstrated that most single spray applications controlled 80 to 90% of the larvae
depending on the product and the rate of application. Last year canola growers reported that single
insecticide applications at high rates were far less effective. New insecticides will need to be
evaluated and their cost effectiveness compared to current treatments.
-12-
Insecticide application
The effectiveness and costs of aerial versus ground application were investigated in 2000 and 2001.
Marginally better levels of control were obtained by ground application in 2000 and significantly better
levels in 2001. There is no obvious explanation for the difference. The levels of control attained by
each method have to be balanced against the cost of application, which in the case of ground
application includes yield loss from driving over the crop.
TIMING AND NUMBER OF INSECTICIDE APPLICATIONS
Trials conducted last year demonstrated that multiple insecticide applications were more effective at
controlling DBM than a single application. Trials need to be conducted to determine whether the
interval between sprays affects the level of control and whether controlling populations early in their
development is more cost effective than delaying control to later in the season.
MANAGEMENT STRATEGY FOR THIS SEASON
This strategy may be amended during the season as more information is collected. The outlines of the
strategy include:
•
Monitoring alternative host plants during autumn and winter to determine the location and size
of any early DBM infestations in the cropping region. Regular monitoring of canola crops should
begin soon after they emerge.
•
Estimating the number of DBM larvae in canola crops regularly using a sweepnet.
•
Applying an insecticide if the number of grubs is steadily increasing and they pass the economic
threshold level.
•
Estimating the number of DBM larvae at least three days after spraying.
•
Applying a second spray if more than 20% of the initial population remains.
•
Monitoring the crop regularly after insecticide treatments.
•
Continuing to control the DBM if their number increase beyond the threshold and if the crop is
potentially high yielding and another spray can be economically justified.
-13-
Getting the best out of canola in the low rainfall
central wheatbelt
Bevan Addison and Peter Carlton, Elders Ltd
KEY MESSAGE
Final grain yield and oil content were low across all sites. The 2001 season demonstrated an
over-riding effect of unpredictable seasonal conditions, rather than farmer decisions, on yield and
profit. Agronomic treatments did not improve yield above the basal treatments, however the newer
canola varieties performed best in the yield trials and their oil contents were higher than Karoo.
BACKGROUND
Canola has become an important part of the overall strategy for farm rotations in WA. It is profitable
for farmers in the medium to high rainfall areas where agronomic packages have been developed and
the environmental conditions support good canola growth. However, for the majority of growers in the
lower rainfall zones, it remains an opportunistic crop, demonstrated by the move away from canola in
these areas in 2000. Disappointing yield and oil content, possibilities of low prices and late breaks to
the season mean that canola is a high-risk investment. Better variety information and more detailed
and specific agronomic packages need to be developed for growers in these lower rainfall zones of
the WA wheatbelt if the benefits of canola are to be realised and on-farm productivity increased. This
series of trials, funded by GRDC, is targeting the lower rainfall zones of the central wheatbelt.
METHODS
A series of variety by agronomy trials were conducted at five locations in the low rainfall (< 375 mm)
central wheatbelt, covering the L2, L3, L4, M3 and M4 zones. Plots were 10 m or 20 m in length
* 1.4 m wide and sown by plot air seeder using inverted T points and presswheels. Varieties were
evaluated in yield trials with 2 or 3 sowing times at each site. Experimental design was split/split plot
with sowing time as main effect, herbicide tolerance of varieties as sub plot and variety as sub/sub
plot. There were 3 replications. Agronomic trials investigated response to seeding rate (3, 4, 5,
7 kg/ha-1), crop nutrition (N, P, K, S, trace element), fungicide treatments for blackleg (varietal
resistance * Impact Infurrow) and bare earth treatments for insect control, especially RLEM (with and
without Talstar). Agronomy trials were randomised complete block design and had 3 replicates.
AGRONOMY TRIAL RESULTS
Canola established well in each trial, however final grain yield and oil content were very disappointing
across the four sites harvested. The Varley site was lost due to a severe hailstorm. The long dry spell
during the growing season limited yield potential and negated most treatments, demonstrating the
over-riding effect of unpredictable seasonal conditions on yield and profit in 2001, rather than factors
such as variety choice.
In general there was no response to any treatment in each agronomy trial at each site and little useful
information can be inferred from the 2001 season. However, this project will continue for another 2
growing seasons. Some observations from the agronomy trials are:
•
Grain yield and oil were not affected by lowering seeding rate to 3 kg/ha -1.
•
Blackleg infection was low at all sites. Treatment with Impact In Furrow showed no response.
•
RLEM numbers were low at each site. Bare earth treatments did not improve plant number.
Additional N, P, K or S nutrition treatments did not improve yield or oil content above a basal treatment
of 60 kg/ha-1 Agstar or 50 kg DAP. Yield varied 0.12 (Kellerberrin) to 0.98 t/ha-1 (Jitarning).
-14-
VARIETY TRIAL RESULTS
The first time of sowing at each site was put in within two days of the opening rains. Even so, yields
were very low, with site means ranging 0.28 to 0.77 t ha-1 for the first sowing time (Table 1).
Two sowing times again demonstrated the importance of early sowing. A two week delay in seeding
reduced grain yield by an average 30% amongst varieties that flowered at a similar time or earlier than
Karoo (flowering times not shown). Oil content was not affected. Grain yield differed among varieties
at all sites (P < 0.05) and G*E interaction was also significant. In general, variety response was
similar across sowing times and sites. Oil content was generally about 40%, except Kalannie, where
the site mean dropped to 36%.
Varieties showed a degree of yield stability with the same varieties performing best at each site.
Beacon, Karoo, and Surpass 501TT were the best performers of the TT varieties, whilst 44C73 and
Surpass 402CL were the best of the IT varieties. Karoo still performed relatively well in these trials,
however the newer varieties had much better oil content with at least 2.5% higher oil over all sites.
Surpass 300TT looks to have a reasonable fit, flowering 12 days earlier than Karoo. The short
maturity may limit upper yield potential in longer/higher rainfall seasons. Variety performance was not
dependent on herbicide resistance with the best IT and TT varieties showing similar yield and oil
content at each site.
Grain yield (GY) (t ha-1), oil content (%), and dollar return ($ ha-1) of 18 canola varieties grown
at four sites, sown at the break at each site, 2001
Table 1.
Kalannie
(seeded 9 May)
Kellerberrin
(seeded 10 May)
Jitarning
(seeded 22 May)
Wyalkatchem
(seeded 9 May)
GY
oil
$
GY
oil
GY
oil
$
GY
oil
$
Mean
$
return
IT
44C71
0.25
35.8
90
0.21
42.3
90
0.77
40.5
315
0.30
42.8
127
156
IT
44C73
0.43
34.8
153
0.30
40.5
123
1.06
42.2
447
0.59
41
245
242
IT
45C75
0.23
34.6
83
0.18
42.1
74
0.44
38.1
170
0.40
41.7
168
124
IT
46C74
0.17
33.2
58
0.20
40.7
83
0.56
40
226
0.28
40.4
114
120
IT
Surpass 402CL
0.37
38.3
146
0.37
43.7
158
0.84
40.6
343
0.41
42.7
174
205
IT
Surpass 603CL
0.40
39.7
161
0.24
44.4
105
0.57
43.5
244
0.56
43.7
241
188
Herb
type
Variety
Mean of IT varieties
$
0.31
36.1
115
0.25
42.3
105
0.71
40.8
291
0.42
42.1
178
172
TT
AGT 105
-
-
-
-
-
-
0.89
40.5
364
-
-
-
-
TT
AGT 108
-
-
-
-
-
-
1.15
41.6
479
-
-
-
-
TT
Beacon
0.50
36.7
187
0.30
41.5
125
0.96
41.3
399
0.59
40.1
241
238
TT
Clancy
0.28
32.9
94
0.23
39.9
94
0.60
38.6
238
0.44
37.4
168
149
TT
1
Eyre
0.26
37.3
99
0.33
42.3
138
0.88
43.9
381
0.42
40.7
172
198
TT
Grace
0.31
37.6
121
0.26
41.2
109
0.67
38.9
264
0.52
39.7
208
175
TT
Hyden
0.34
34.7
120
0.31
40.4
126
0.79
39.9
319
0.57
37.8
222
197
TT
Karoo
0.39
33.9
134
0.36
40.8
148
0.95
38.3
370
0.61
36.3
227
220
TT
Pinnacle
0.26
34.8
91
0.23
40.8
94
0.66
38.5
258
0.46
38.2
180
156
TT
Surpass 300TT
0.46
37
174
0.35
43.5
149
0.97
41.4
403
0.34
40.8
141
217
TT
Surpass 501TT
0.53
40.6
218
0.42
44.8
183
0.59
44.2
256
0.52
42.6
220
219
TT
Surpass 600TT
0.27
35.3
99
0.25
42.7
107
0.51
41.1
212
0.40
36.3
147
141
Mean of TT varieties
0.36
36.1
134
0.30
41.8
127
0.80
40.7
329
0.49
39.0
193
191
Site mean
0.34
36.1
127
0.28
42.0
119
0.77
40.7
316
0.46
40.1
187
184
2
LSD (P < 0.05)
0.11
0.12
0.13
0.17
3
LSD (P < 0.05)
ns
ns
ns
ns
1
2
3
Tested as T03.
LSD for differences between varieties.
LSD for differences between IT and TT mean values.
-15-
CONCLUSIONS
•
Early flowering varieties with high and stable yield potential and high oil content are now
becoming available from canola breeding programs, increasing the probability of identifying well
adapted varieties for the lower rainfall areas of WA.
•
Beacon, Surpass 300TT and Surpass 501TT (TT varieties) and 44C73 and Surpass 402CL (IT
varieties) appear to be the most promising varieties for this region.
•
Seeding as close as possible to the break in 2001 was essential to set high yield potential.
Yield was reduced by about 30% by delaying sowing 2 weeks after the first seeding opportunity.
•
Variety performance is not dependent on herbicide resistance. The best IT and TT varieties
showed similar yield and oil content at each site.
•
In 2001 grass weed control was a problem in IT plots and farmers crops in the dry
environments. Use of a knockdown for effective weed management is already recommended
but more consideration is warranted for dry environments. The inherent yield penalty of TT
varieties may be balanced against IT varieties by better weed control and the ability to seed
earlier.
•
Diamond Back Moth did not affect these trials in 2001, however, turnip and cabbage aphids
were detected at Kalannie and Kellerberrin. Insect control will be included in the agronomy
trials for 2002.
GRDC Project No.:
-
Paper reviewed by:
Paul Carmody, Brent Pritchard
-16-
Canola variety performance in Western Australia
Kevin Morthorpe, Stephen Addenbrooke and Alex Ford, Pioneer Hi-Bred
Australia P/L
KEY MESSAGE
Genetic improvement is likely to lead productivity gains in agriculture in future. A new canola variety
with the CLEARFIELD* trait has shown great promise as an alternative option to TT canola in
herbicide tolerant [HT] cropping systems. Pioneer® 44C73 delivers a complete package of proven
consistent performance, high yield, canola quality, improved agronomic traits and weed control.
INTRODUCTION AND AIMS
TT varieties, Karoo and Pinnacle have dominated the total area planted to canola in Western
Australia. This dependence on TT canola is being challenged by new variety options that will help to
ensure Australian farmers maintain market access and are very competitive in world oilseed markets.
The resistance mechanism in TT varieties is associated with photosynthesis in the plant and this
reduces seedling vigour and vegetative growth resulting in lower oil and yield potential. Canola
breeders have developed varieties without this yield or oil penalty and which offer growers increased
herbicide options across the rotation to control a broad spectrum of weeds.
Previous comparisons of canola variety performance have concentrated on replicated small plots only.
There is an increasing trend across all States towards larger scale side-by-side tests on-farm. This
update will summarise the yield performance of new varieties compared to the benchmark varieties in
Western Australia using the combined results from a range of trials.
METHOD
In 2001 trials were conducted over many locations in the State by various organisations. A new
canola variety, 44C73, was used as an example, to present data from the complete range of individual
locations and commercial varieties using different trial formats. Locations covered most rainfall zones
and trial formats included replicated small plots to larger scale strips (limited or no replication)
cultivated with grower equipment and commercial management systems. All trials published were
audited for uniformity visually and using the accepted industry standard for experiment analysis of
variance, i.e. CV < 15.0. Average data for individual pair-wise variety comparisons are unadjusted
and were not weighted using across site analysis.
RESULTS
The new variety, 44C73 with the CLEARFIELD trait for herbicide tolerance, has shown consistently
higher yield across a wide range of locations, management systems and trial formats than the
benchmark varieties and other varieties grown in the State (Table 1). Testing of 44C73 in the State
has been conducted over three (3) seasons with similar promising results. Across all trials conducted
throughout the State last season, 44C73 yields show an average advantage of 43 per cent than
Pinnacle; 30 per cent than Surpass 300 TT; 20 per cent than Hyden; 18 per cent than Karoo; 11 per
cent than Surpass 402CL and 603CL; and 4 per cent than Surpass 501TT. It has also demonstrated
better seedling vigour, canola quality, higher oil and protein contents than Karoo and Pinnacle in
addition to good blackleg resistance and excellent standability for ease of harvest.
CONCLUSION
Canola varieties should be evaluated over many locations and across years for greater accuracy in
predicting in-field performance. There are advantages in using replicated small plots in conjunction
with larger scale side-by-side trials to ensure consistency in variety performance and determine the
benefits of new alternative technologies.
44C73 sets the new benchmark in early maturity herbicide tolerant varieties for canola growers in the
State. The CLEARFIELD trait will help growers increase their yields, provide extra herbicide options to
control many troublesome weeds in-crop (particularly wild radish), and meet international standards for
canola quality. There may also be a fit for new varieties such as 44C73 as a canola option to other
-17-
varieties where there are residual levels of SU and Group F herbicides in rotation, and is ideal for
environmentally sensitive situations limiting future use of triazine herbicides.
KEY WORDS
canola varieties, herbicide options
Table 1.
Performance of canola varieties in WA 2001
402CL
44C73
Location
501TT
44C73
Arthur River (BASF)
Location
1.744
1.871
Cunderdin (AgriTech)
2.000
2.200
Cunderdin (AgriTech)
2.000
2.200
Geraldton (Elders)
1.917
1.990
Cunderdin (BASF)
1.227
1.140
Hyden (Elders)
1.540
1.860
Hyden (Dept. of Agric.)
1.421
1.577
Mingenew East (MIG)
0.940
0.830
Geraldton (CAWA/WFL)
1.020
1.220
Mingenew Sth (C/M)
1.990
2.060
Geraldton (Elders)
1.933
1.990
Scadden (WFL)
1.830
1.929
Lake O'Connor (Dept. of Agric.)
1.132
1.286
Average
1.277
1.359
603CL
44C73
Mingenew East (MIG)
0.940
0.830
Mingenew Sth (C/M)
2.000
2.060
Newdegate (Dept. of Agric.)
0.762
1.388
Arthur River (BASF)
1.421
1.871
Scadden (WFL)
1.604
1.929
Cunderdin (AgriTech)
2.300
2.200
Williams (PHA)
1.640
1.930
Cunderdin (BASF)
1.435
1.140
Williams (PHA)
2.150
2.720
Geraldton (C/M)
0.940
1.220
Wubin (BASF)
0.498
0.572
Geraldton (Elders)
2.034
1.990
Wubin (PHA-381)
1.600
1.600
Scadden (WFL)
1.912
1.929
Wubin (PHA-282)
1.570
1.730
Wickepin (CAWA)
0.276
0.278
Average
1.367
1.532
Williams (PHA)
2.080
1.930
Williams (PHA)
1.560
2.720
Location
Karoo
44C73
Wubin (BASF)
0.584
0.572
Arthur River (BASF)
1.328
1.871
Wubin (PHA-381)
1.500
1.600
Cunderdin (AgriTech)
1.700
2.200
Wubin (PHA-282)
1.800
1.730
Cunderdin (BASF)
0.995
1.140
Average
1.487
1.598
Geraldton (Elders)
1.523
1.990
Hyden (Dept. of Agric.)
1.238
1.577
Pinnacle
44C73
Lake O'Connor (Dept. of Agric.)
0.983
1.286
Arthur River (BASF)
1.172
1.871
Mingenew East (MIG)
0.870
0.830
Cunderdin (AgriTech)
1.400
2.200
Mingenew South (C/M)
1.820
2.060
Cunderdin (BASF)
0.810
1.140
Newdegate (Dept. of Agric.)
1.010
1.388
Scadden (WFL)
1.407
1.929
Scadden (WFL)
1.407
1.929
Wickepin (CAWA)
0.231
0.278
Wubin (BASF)
0.394
0.575
Williams (PHA)
2.590
2.720
Average
1.021
1.296
Wubin (BASF)
0.214
0.572
Average
1.118
1.530
Location
Location
Hyden
44C73
Cunderdin (AgriTech)
1.600
2.200
Mingenew East (MIG)
0.900
0.830
Mingenew South (C/M)
1.780
2.060
Scadden (WFL)
1.648
1.929
Average
0.988
1.170
®
*
Location
C/M - (CAWA/MIG)
Registered trademark of Pioneer Hi-Bred International Inc.
Registered trademark of BASF.
-18-
Relative performance of new canola varieties in
Department of Agriculture variety trials in 2000 and
2001
S. Hasan Zaheer, GSARI, Department of Agriculture, Katanning
G. Walton, Crop Improvement Institute, Department of Agriculture, South Perth
KEY MESSAGE
•
The main features to consider when selecting suitable variety for your paddock are early vigour,
maturity, level of blackleg resistance, potential yield and oil content in that specific environment.
•
If possible, include two varieties of different maturity in your cropping program to reduce risk of
unpredictable growing season.
INTRODUCTION
Recently a number of new canola varieties have been released. Information on responses of these
new varieties in different agricultural regions and/or annual rainfall zones is important to enable
growers to make decisions about variety selection.
Two opportunities to compare these new varieties in Department of Agriculture variety trials occurred
in 2000 and 2001. The seasons were challenging for crop performance, with, in most regions in 2000,
a late start to seeding and low rainfall during the season, and in 2001, a prolonged dry period after
seeding, plus the damage to crops by insects, particularly by DBM in the northern region.
This summary records the relative performances of the new varieties in the season 2000 and 2001, as
influenced by variety maturity, rainfall of different climatic zones and the seasonal variations.
DESCRIPTION OF SOME CHARACTERISTICS OF THE VARIETIES
Triazine tolerant varieties in comparison with Karoo
Variety
Height
Maturity
Oil concentration1
Dept. of Agric.
blackleg rating2
Karoo
Medium
Early
38.8
4
ATR-Beacon
Medium
Early - mid
39.8
5
ATR-Grace
Medium
Late
39.6
7P
ATR-Hyden
Medium
Early - mid
39.2
6
TI1 Pinnacle
Medium
Mid - late
39.3
6
Surpass 300TT
Medium - short
Early
40.9
4P
Surpass 501TT
Medium
Early - mid
42.7
8+P
Surpass 600TT
Tall
Mid - late
40.5
6
ATR-Eyre
Tall
Early
41.8
N/A
1
Oil % (at 8.5% seed moisture). Limited number of trials in 1999 and 2000.
The Department of Agriculture ratings for resistance to blackleg combines both the plant survival and stem
canker scores. 1 = highly susceptible, 8+ = highly resistant.
N/A Rating not available because of insufficient data.
P
Rating is Provisional, based on a minimum of data.
2
-19-
Clearfield System varieties in comparison with Karoo
Oil
concentration1
Dept. of Agric.
blackleg rating2
Early
43.4
8+
Medium
Mid
42.4
8+P
Medium
Mid
42.1
5
44C73
Medium
Early
41.6
5P
46C74
Medium
Mid - late
41.8
4P
45C75
Medium
Mid
42.0
N/A
Karoo
Medium
Early
40.0
4
Variety
Height
Maturity
Surpass 402CL
Medium
Surpass 603CL
44C71
Trade Mark of BASF.
Non-herbicide tolerant varieties in comparison with Oscar
Variety
Height
Maturity
Oil
concentration1
Dept. of Agric.
blackleg rating2
Surpass 400
Medium
Early
44.6
8+
Hyola 60
Tall
Mid
45.6
8+
Purler
Tall
Mid - late
47.0
6
Ripper
Medium
Late
45.4
5
Mystic
Medium
Early
44.2
4
Surpass 600
Medium-tall
Mid
45.2
5
Oscar
Medium
Mid
41.8
5
Ag-Emblem
Medium
Mid
42.1
6
Monty
Medium
Early
43.4
4
Georgie
Medium
Early - mid
43.6
4
Ag-Outback
Medium
Early
43.0
4
46CO3
Tall
Late
41.8
4P
Dunkeld
Medium - tall
Late
43.4
6
Lantern
Tall
Early - mid
46.0
N/A
Rivette
Medium
Early
44.9
N/A
Rainbow
Medium
Early - mid
41.9
5
AC-Castle
Medium
Early - mid
46.6
N/A
AV-Fortress
Medium
Mid
45.3
N/A
Karoo
Medium
Early
40.0
4
FLOWERING RELATIVE TO CONTROL VARIETY
Flowering dates of the varieties were recorded on many trials, histograms showing the differences in
days after sowing that 50% of plants had first flowers are presented for the different types of herbicide
tolerance. The flowering differences are recorded for the north, central and south agricultural regions
in WA: North region includes the Geraldton district out to Yuna, Mullewa and Coorow. Central region
includes Badgingarra, Wongan Hills, Cadoux, Merredin, Hyden and Williams. South region includes
Katanning, Mount Barker, Newdegate and Esperance.
-20-
Days after sowing
Average flowering time of TT canola varieties in 2000 and 2001
North
Central
South
100
80
60
40
20
0
roo
Ka
n
e
on
de
rac
y
ac
e
G
H
B
RTR
RT
T
A
A
A
le
T
T
re
TT
ac
1T
0T
Ey
0
n
0
0
0
n
5
6
Pi
s3
TR
ss
ss
ss
a
a
A
a
p
p
r
r
rp
Su
Su
Su
TT canola variety
Days after sowing
Average flowering time of Clearfield canola varieties in 2000 and 2001
South
North
100
80
60
40
20
0
1
C7
4
4
2
C7
6
4
3
C7
4
4
4
C7
6
4
5
C7
5
4
L
L
3C
2C
0
0
s4
s6
as
as
p
p
r
r
Su
Su
Clearfield canola variety
Days after sowing
Average flowering time of non-herbecide tolerant canola varieties in 2000 and 2001
South
North
120
100
80
60
40
20
0
r
k
m
e
w
w
r
0
c
e
n
ty
d
ca bo on bac orgi ble ysti 400 astle kel la 6 urler ippe 600 ter ignia tress ivett nbo
n
s
s
i
o
n
s
Os ain
M ut
m
r
s
s
e
C
a
M
P
R
R Ra
a
a
E
G
L
In - Fo
R
Du Hy
-O
rp AC
rp
V
Su
Su
AG
A
Non-herbecide tolerant canola variety
All herbicide and non-herbicide tolerant varieties flowered earlier in Northern agricultural regions
compared to the Southern agricultural regions, while most of the TT varieties delayed flowering in the
Central agricultural region compared to both Northern and Southern agricultural regions. This is an
adoptive response of varieties to cope with unpredictable seasonal influences, which were more
severe in the Central region in 2001.
-21-
GRAIN YIELD
A summary of the yield of varieties is presented as relative (percentage of) to Karoo for the herbicide
resistant varieties and to Oscar for the non-herbicide resistant varieties. The yields are grouped into
geographic/agricultural regions and average annual rainfall zones.
Triazine tolerant varieties in the northern region
Relative seed yield of Triazine tolerant (TT) canola varieties (% of Karoo) in the Northern Region
High rainfall
(HRF*)
2000
2000
2001
Mean
2000
2001
Mean
Karoo
100
100
100
100
100
100
100
ATR-Beacon
100
100
94
97
79
90
85
84
84
95
95
107
104
79
100
90
81
31
85
38
Variety
Medium rainfall (MRF)**
ATR-Grace
ATR-Hyden
121
101
Bugle
87
81
Pinnacle
86
72
Surpass300TT
83
83
83
83
Surps501TT
91
106
125
116
Surps600TT
92
82
98
90
111
111
98
ATR-Eyre
No. of trials
LSD 5%
1
3
1
15
16
24
Low rainfall (LRF)***
31
74
56
128
78
103
119
100
109
40
85
67
103
103
20
1
1
28
18
23
Trials were located at Geraldton, Mingenew, Coorow, Watheroo, Yuna (sown between 10 and 29 May) and at
Mullewa (sown 15 June) in 2000 and 2001.
* High rainfall (HRF) = 450-750 mm
** Medium rainfall (MRF) = 325-450 mm
*** Low rainfall (LRF) = < 325 mm
Triazine tolerant varieties in the central region
Relative seed yield of Triazine Tolerant (TT) canola varieties (% of Karoo) in the Central Region
Variety
High rainfall
Medium rainfall
Low rainfall
2000
2001
Mean
2000
2001
Mean
2000
2001
Mean
Karoo
100
100
100
100
100
100
100
100
100
ATR-Beacon
118
102
98
100
101
106
103
86
86
87
87
90
85
103
99
101
59
74
94
106
118
118
108
117
112
80
Bugle
90
82
90
59
Pinnacle
97
128
112
54
84
69
70
86
78
Surpass300TT
85
66
76
90
75
82
106
90
98
Surpass501TT
110
96
103
101
103
102
78
99
88
Surpass600TT
100
147
123
65
79
72
71
127
127
85
85
ATR-Grace
ATR-Hyden
ATR-Eyre
No. of trials
LSD 5%
2
1
14
33
24
3
2
25
14
20
74
76
73
102
102
2
3
20
13
17
Trials were located at Badgingarra, York, Wongan Hills, Cadoux, Meckering, Kunjin, Newdegate, Williams,
Merredin and Hyden, sown between 8 May and 15 June in 2000 and 2001.
-22-
Triazine tolerant varieties in the southern region
Relative seed yield of Triazine tolerant (TT) canola varieties (% of Karoo) in the Southern Region
High rainfall
Variety
Medium rainfall
2000
2001
Mean
2000
2001
Mean
Karoo
100
100
100
100
100
100
ATR-Beacon
121
132
126
119
113
116
130
130
98
98
135
125
114
99
107
96
88
124
100
83
ATR-Grace
ATR-Hyden
115
Bugle
96
Pinnacle
107
141
88
92
Surpass300TT
90
82
86
99
99
99
Surps501TT
95
128
111
114
97
105
Surps600TT
99
119
109
87
86
86
97
97
103
103
ATR-Eyre
No. of trials
LSD 5%
2
2
13
26
20
4
1
15
15
15
Trials were located at Newdegate, Katanning, Mount Barker, Esperance, Wittenoom Hills and Ravensthorpe,
sown between 10 May and 14 June in 2000 and 2001.
Clearfield System varieties in the north, central and south regions
Relative seed yield of Clearfield Production System varieties (% of Karoo) in the Northern, Central and
Southern Regions
Central Region
Variety
North*
2000**
Med. RF
2000**
Southern Region
Low rainfall
High RF
Medium rainfall
2000**
2001
Mean
2001
2000**
2001
Mean
100
Karoo
100
100
100
100
100
100
100
100
44C71
58
93
135
135
110
125
97
111
46C72
40
54
122
122
75
75
44C73
164
131
131
99
168
103
136
46C74
115
103
103
105
120
78
99
100
100
108
85
85
115
104
92
126
81
104
115
115
45C75
Surps402CL
162
Surps603CL
115
No. of trials
LSD p = 0.05
2
113
92
115
6
30
1
95
138
92
1
2
3
2
25
26
25
14
* Northern Region.
** The comparison of varieties in these trials were conducted without the use of herbicides in 2000. In 2001,
three trials were conducted comparing the varieties using the Clearfield System.
Trials were located at Coorow, Mullewa, Meckering, Kunjin, Beverley, Wongan Hills, Newdegate, Katanning,
Wittenoom Hills, Mount Barker and Esperance, sown between 10 May and 15 June in 2000 and 2001.
-23-
Non-herbicide tolerant varieties in the north, central and south regions
Relative seed yield of non-herbicide tolerant varieties (% of Karoo) in the Northern, Central and Southern
regions, with medium to low annual rainfall
Central Region
Southern Region
North*
med. RF
2000
Med.-Low RF
Low RF
2000
2001
2000
2001
Karoo
100
100
100
100
100
Oscar
100
95
Monty
137
149
109
119
129
124
AG-Outback
133
160
103
151
128
140
119
119
Georgie
112
119
94
122
107
114
Emblem
87
117
115
120
122
121
144
118
118
120
124
122
96
99
108
114
114
114
136
103
144
140
106
123
86
74
Variety
125
Rivette
Mystic
Rainbow
Surpass400
46CO3
No. trials
LSD p = 0.05
Medium RF
127
Mean
100
125
100
100
1
3
1
2
1
27
28
25
27
12
20
* Northern Region.
Trials were located at Coorow, Meckering, Kunjin, Hyden. Newdegate, Katanning, Wittenoom Hills and
Esperance, sown between 10 May and 14 June in 2000 and 2001.
Relative seed yield of non-herbicide tolerant varieties (% of Oscar) in the Southern and Central Regions,
with high annual rainfall
Variety
Southern Region
Central Region
2000
2001
Mean
2000
100
100
100
100
102
102
93
85
89
95
Hyola 60
97
109
103
111
Rainbow
106
103
105
99
Purler
88
97
92
91
Ripper
92
118
105
98
Surpass600
86
96
91
93
103
103
87
87
Oscar
AC-Castle
Dunkeld
Lantern
AV-Fortress
No. trials
LSD p = 0.05
4
2
30
14
1
22
12
Trials were located at York, Newdegate, Bridgetown, Katanning, Mount Barker, Boxwood Hills and Esperance
Downs, sown between 4 May and 14 June in 2000 and 2001.
NEW VARIETIES SHOWING GOOD YIELD AND BLACKLEG CHARACTERISTICS
IN 2000 AND 2001
Triazine tolerant varieties
Northern region:
High annual rainfall:
Medium annual rainfall:
Low annual rainfall:
ATR-Hyden, ATR-Beacon
Surpass 501TT, ATR-Hyden (ATR-Eyre, a promising variety)
ATR-Beacon and ATR-Hyden (ATR-Eyre, a promising variety)
-24-
Central region:
High annual rainfall:
Medium annual rainfall:
Low annual rainfall:
Surpass 600TT, ATR-Grace, ATR-Hyden, Pinnacle, (ATR-Eyre, a
promising variety, but has lower blackleg tolerance than the other
varieties)
Surpass 501TT, ATR-Beacon
ATR-Beacon, ATR-Hyden (ATR-Eyre, a promising variety)
Southern region:
High annual rainfall:
Medium annual rainfall:
ATR-Grace, ATR-Beacon, ATR-Hyden, Pinnacle
ATR-Beacon, ATR-Hyden, Surpass 501TT
Clearfield System varieties
Northern region*:
Surpass 402CL and Surpass 603CL
Central region*:
Medium annual rainfall:
Low annual rainfall:
44C73, 44C74, Surpass 402CL
44C71, 44C73, Surpass 603CL
Southern region:
High annual rainfall:
Medium annual rainfall:
44C71, 46C74, 45C75
44C71, 44C73, Surpass 603CL
*
Performance was evaluated in the absence of in-crop herbicide.
Non-herbicide tolerant varieties
Northern region:
Medium annual rainfall:
Mystic, Surpass 400, Monty, AG-Outback
Central region:
High annual rainfall:
Medium annual rainfall:
Low annual rainfall:
Hyola 60
AG-Outback, Monty
Surpass 400, Monty, Emblem, Mystic (Rivette, a promising variety)
Southern region:
High annual rainfall:
Medium annual rainfall:
Rainbow, Ripper, Lantern, Hyola 60, AGC-10/AGC0Castle
AG-Outback, Monty, Rivette, Georgie, Emblem, Mystic, Rainbow,
Surpass 400
GRDC Project No.:
DAW 714
Paper reviewed by:
Graham Walton, Dave Eksteen
-25-
Which canola cultivar should I sow?
Imma Farré, CSIRO Plant Industry, Floreat (
[email protected]) and
Bill Bowden, Western Australia Department of Agriculture, Northam
KEY MESSAGE
The choice of canola cultivar to maximise yield and oil content depends on factors such as location,
soil type and sowing date. Simulation modelling can provide expected yields for combinations of these
factors. Knowledge of the expected yield can help in crop management options such as choice of
cultivar for each location. It can also help to optimise fertiliser inputs.
INTRODUCTION
Which cultivar to sow to match the break of the season and soil type in any region is a perennial
question for cropping in Western Australia. For traditional crops such as wheat, there is a large trial
database, which can be referred to. Given the variability from site to site and season to season in the
relative performance of cultivars, even this data base has been found to be too small, particularly
when used to determine the appropriate sowing time of new cultivars. For newer crops such as
canola, local information based on field trials is limited to a few seasons. A validated simulation model
offers an ideal way of addressing the problem of site and season variability in agronomic data. The
aim of this paper is to demonstrate the strength of the simulation approach in providing information
that can improve crop management decisions, such as the choice of cultivar for different times of
sowing, canola cultivars, soil types and locations in the variable environment of Western Australia.
METHODS
The APSIM-Canola model has been tested against data from Eastern Australia (Robertson et al.
1999) and Western Australia (Farre et al. 2001). The model was used in simulation experiments with
100 years of climatic data, for 6 locations in Western Australia, 5 times of sowing (from 5 April to
24 June), 2 soil types (duplex/heavy and sand) and 2 cultivars (short and long season). The cultivars
Monty and Oscar (both non TT) were used in the simulations as representative of a short and a long
season cultivar, respectively. Current management practices were selected for the simulations
(sowing depth 2 cm, plant density 80 pl/m2). In the simulations nitrogen supply was high and assumed
to be not limiting. The model simulates yields free of pests or diseases.
RESULTS AND DISCUSSION
When sowing on the 5 April, the long season cultivar out yielded the short season cultivar in most of
the locations and soil types (Table 1). When sowing on the 25 April, the long season cultivar had a
yield advantage only in the higher rainfall locations, such as Geraldton, Kojonup and Esperance. For
sowing dates later than the end of April, the short season cultivar had higher yields in most of the
years in all locations. These results highlighted that in the event of an early sowing opportunity (April),
the choice of cultivar is an important issue, and that the choice will depend on the location. The
median yields of cultivar Monty sown on 5 April ranged from 1.6 to 3.7 t/ha for the different locations
(Table 1).
Combining crop modelling with additional information can improve the choice of cultivar. Information
such as summer rainfall, or residual water in the soil from previous year, can improve the choice of
cultivar. For example, in Mullewa, on a duplex soil, sown on the 5 April, a long season cultivar would
out yield a short season cultivar on average in 53% of the years (Table 1). Using rainfall information to
divide the 100 years into wet and dry summer years, we can see that the probabilities of a higher yield
with a long season cultivar would be 65% in the wet summer years but only 40% in the dry summer
years.
Simulation yields can be presented in different ways. Figure 1 shows the median yields for 100 years
of simulations for Monty and Oscar in two of the locations on a duplex soil. Simulated yields for
combinations of location, soil type, cultivar and sowing date can be used to improve crop
management. Based on the yield expectation and its probability, growers can establish whether or not
to include canola in the rotation in a given year. Knowledge of expected yields can also improve the
choice of cultivar and the optimisation of fertiliser inputs. A modelling approach allows us to obtain this
information for each location.
-26-
Table 1.
Ag
zone
1
2
Percentage of years that the long season cultivar out yields the short season cultivar, for 6
locations in different Agricultural Zones, 2 soil types and 5 sowing dates. Also included are
the median yield of the short season cultivar (Monty) sown at 5 April and the yield difference
of the long season cultivar (Oscar) sown at the same date. Shaded cells show percentages
greater than 50
Geraldton
Wongan Hills
3
Kojonup
4
Mullewa
5
Salmon Gums
6
Esperance
5 April
25 April
4 June
Duplex
92
Sand
91
64
8
1
3
3.2
0.5
67
22
9
20
2.2
0.3
Duplex
Sand
66
13
0
1
2
3.4
0.2
76
22
6
8
14
2.5
0.2
Duplex
70
57
26
4
8
3.7
0.1
Sand
67
36
18
10
21
2.9
0.1
Duplex
53
11
4
2
2
2.5
-0.1
Sand
73
23
8
14
15
1.6
0.2
Duplex
38
21
29
21
25
2.1
-0.2
Sand
62
31
40
42
54
1.7
0.0
Duplex
87
31
13
17
11
3.7
0.3
Sand
90
61
48
41
42
3.0
0.5
Mullewa
Esperance
5.0
4.0
4.0
Yield (t/ha)
Yield (t/ha)
(t/ha)
Oscar
difference
15 May
5.0
3.0
2.0
3.0
2.0
1.0
1.0
0.0
30-Mar
29-Apr
29-May
0.0
30-Mar
28-Jun
29-Apr
29-May
28-Jun
Sowing date
Sowing date
Figure 1.
24 June
(t/ha)
Monty
yield
Sowing date
Soil
type
Location
Median yields for a 100-year simulation for Esperance and Mullewa for a long season cultivar
(Oscar) (-•-) and a short season cultivar (Monty) (--) on a duplex soil.
CONCLUSIONS
Given canola is a relatively new crop in Western Australia, information derived from field experiments
is currently limited to a few seasons and sites. The APSIM-Canola model, together with historical
weather data, can be used to simulate canola yields and its probability distributions. Expected canola
yields can be obtained for different soil types, cultivars, locations and sowing dates across the
cropping area of Western Australia. This information can help growers make crop management
decisions, such as the choice of cultivar and the amount of fertiliser input.
ACKNOWLEDGMENTS
This research has been funded by the Grains Research and Development Corporation
REFERENCES
Farre, I., Robertson, M.J., Walton, G.H. and Asseng, S. (2001). Simulating response of canola to
sowing date in Western Australia. Proceedings 10th Australian Agronomy Conference. Hobart.
Robertson, M.J., Holland, J.F., Bambach, R. and Cawthray, S. (1999). Response of canola and Indian
mustard to sowing date in risky Australian environments. Proceedings 10 th International
Rapeseed Congress. Canberra. CD-ROM.
GRDC Project No.:
Paper reviewed by:
CSP293
Paul Carmody
-27-
The effect of seed generation and seed source on
yield and quality of canola
Paul Carmody, Department of Agriculture, Northam, Western Australia
KEY MESSAGE
In this trial yield and quality did not decline for Karoo and Pinnacle grown from seed retained for up to
three generations.
AIM
To determine the effect on yield (performance) and oil quality of different generations of canola seed
compared to ‘new’ or quality assured seed.
BACKGROUND
The effect of retaining successive generations of canola seed on yield and quality of canola has long
been a concern amongst canola breeders, agronomist and growers. In theory a decline in quality and
yield would be expected due to contamination, cross pollination and increase variability in maturity with
successive generations of retained canola seed.
Canola varieties are not genetically homogenous and continue to segregate for plant characters with
each successive generation. Canola is approximately 30% outcrossing which also contributes to
genetic impurity with each generation. Seed source has been shown to effect the performance of
other crops (e.g. lupins) but very limited work has been done with canola in this regard.
In 1994 a trial was set up in Katanning (95GS108) where grower seed and company seed of various
generations were tested over two years. Unfortunately the results of this trial were inconclusive due to
poor establishment but it did show some trend for declining yield with each subsequent generation of
retained canola seed. This needs to be investigated further.
METHOD
During the harvest of 1999, seed was collected from a range of canola growers across the State who
were retaining seed for sowing in 2000 (Treatments 2, 4, 6 and 9). Dovuro also supplied QA seed
released in 1999 (Treatments 1 and 8), and 2000 (Treatments 3 and 5) for both Karoo and Pinnacle.
This seed was then grown out at two locations; Beverley (00AD73) and Katanning (00GS80) in 2000
on high (120 Agras plus 100 Urea topdress) and low (60 Agras plus 70 Urea topdress) fertiliser inputs.
The seed yields were obtained and the harvested seed from Beverley was retained for re-planting in
2001. The seed retained in 2000, along with fresh 2001 QA seed of Pinnacle and Karoo (Treatments
10 and 11) were sown at Beverley on 30 May. All sown seed was graded off the top of a 1.7 mm
sieve to remove any potential seed size effects.
The trial (01AD09) was direct harvested and analysed for yield and oil quality, including erucic acid
contents using NIR and gas chromatography techniques.
RESULTS
There was no differences between the high and low fertiliser level s indicating that fertility had no
effect on retained seed at these sites. Karoo yielded slightly better than Pinnacle but there was no
difference in retained seed compared to new certified seed.
-28-
Table 1.
Treatment
Summary of mean grain yields from different sources/generations sown at Avondale in 2001
(01AD09)
Seed source
Generation
Variety
Hi fert.
Lo fert.
1
QA 1999
3
Karoo
1526
1478
1502
6
8
QA 1999
3
Pinnacle
1456
1196
1326
6
3
Pedigree 2000
2
TM8
1489
1444
1467
6
5
QA 2000
2
Karoo
1381
1522
1452
6
1267
1393
7
QA 2000
2
Pinnacle
1330
6
10
QA 2001
1
Karoo*
1300
3
11
QA 2001
1
Pinnacle
1296
3
4
Grower South 1
4
Karoo
1448
1474
1461
6
6
Grower Central 3
4
Karoo
1463
1426
1444
6
9
Grower East 3
4
Karoo
1393
1256
1324
6
2
Grower North 2
4
Karoo
1493
1445
1469
6
Mean
1435
1404
LSD 5% for comparing within treatment 10 and 11
LSD 5% for comparing treatment 10 and 11 with the rest
LSD 5% for comparing within treatment s 1 to 9
*
Average No. plots
1397
162.1
140.4
3 vs 3
3 vs 6
114.6
6 vs 6
Two plots harvested only.
The quality data for the trial was assessed on composite samples of each replicate, therefore no
statistical analysis was possible. There was no apparent trend of deterioration of seed quality over
successive generations of canola from this trial.
CONCLUSION
In this trial there were no significant difference of yield found in comparing QA seed with retained seed
for 2 consecutive years whether it was Karoo or Pinnacle.
The level of nutrition (high or low fertiliser input), had little effect on the performance of retained
canola.
ACKNOWLEDGMENTS
Emmon Rath, Dovuro who supplied the QA seed each year and assisted in the analysis of the seed
quality for the seed grown out in 2000 trial. Ms Jane Speijers, Biometrics Section, Department of
Agriculture for statistical analysis of data.
GRDC Project No.:
GOP
-29-
The accumulation of oil in Brassica species
J.A. Fortescue and D.W. Turner, Plant Biology, Faculty of Natural and Agricultural
Sciences, The University of Western Australia, 35 Stirling Highway, Crawley WA
6009 and B. Tan, PO Box 1249, South Perth WA 6951
KEY MESSAGE
Increasing the rate of growth of the cotyledons in developing canola seed delayed the beginning of oil
accumulation, but increased its rate when it did begin. This combination of features would increase oil
concentration at maturity if the time available for oil accumulation was not limited by environmental or
genetic constraints.
INTRODUCTION
The accumulation of oil in canola seed has a space and time dimension. The space dimension
describes the location of the oil in the tissues of the seed. The oil concentration will be low if the tissue
that contains it occupies only a small proportion of the seed. The time dimension describes when the
oil accumulates during the growth of the seed. The oil concentration will be low if the time over which
the oil accumulates is short, or the rate at which it accumulates is low. Hocking and Mason (1993)
provide a good description of the time component of oil accumulation for canola grown in southern
NSW. In their study, oil did not accumulate at all in the first 30 days after flowering and then the rate
increased to about 1.7%/day in the oil accumulation phase, which lasted about 25 days (each of these
phases was about 400 growing degree days, Turner and Farre 2000). After this, the oil concentration
stabilised.
Among the tissues of the canola seed, oil accumulates in the cotyledons of the embryo. Thus, the oil
concentration in the seed will be influenced by the size of the cotyledons, relative to the remainder of
the seed, and the concentration of oil in the cotyledon tissue. We may expect that seeds with large
cotyledons will have high oil concentrations. However, conditions that occur early in the development
of the seed and might increase cotyledon size, for example improved supply of water or nitrogen, do
not necessarily increase oil concentrations in mature canola seed.
If we increase the rate at which the cotyledons grow, does it affect the concentration of oil in the seed,
either by increasing the time over which oil accumulates or the rate at which it occurs? This
knowledge will contribute to understanding the impact of management, environment and genetics on
oil concentrations in canola seed.
AIM
To determine the impact of changing the rate of development of canola embryos on the growth of the
cotyledons and oil accumulation in them.
METHOD
In 1999, (project GRS6) plants of canola cv. Monty were grown in 30 cm plastic containers in a
glasshouse and thinned to a single plant per container. We changed the ratio of leaf surface area to
the number of siliqua (pods) developing on the inflorescence. There were two treatments - unpruned
(control) and pruned, with 42 plants per treatment in 3 replications. To prune, we removed the lateral
inflorescences as soon as they appeared. Each flower was labelled at anthesis giving us a population
of siliqua of known ages. Siliqua, and their growing seeds, were sampled at 25, 30, 50 and 56 days
after flowering. Samples of seed were fixed, examined under a light microscope and the sectional
areas of the different organs in the seeds, including cotyledons, was measured using ‘video trade
version 3.45 colour video measurement system’, © 1997 Leading Edge Pty Ltd, Adelaide, Australia
(Project 292).
We repeated this experiment in 2001 (project UWA 368) in a sunlit phytotron at 20/13C, day/night
temperature. We examined cvs Monty, Mystic and Karoo and changed our sampling procedure so
that we measured a daily increment in growth and oil accumulation from fertilisation to maturity. A
photographic record of the growing embryos was made.
-30-
RESULTS
Pruning the lateral inflorescences increased the length of the mature siliqua on the main stem by 10%,
the number of seeds within by 6% and, in the first 50 days after flowering, delayed the accumulation of
oil by about a week. Then, the oil accumulated at twice the rate and by 56 days after flowering, the
seed on the pruned plants contained 7% more oil than seed on the unpruned plants.
Pruning increased the cross-sectional area of the cotyledons by 3 to 7%. The organs of the pruned
plants tended to delay the onset of rapid expansion by up to 5 days, but they grew more rapidly when
begun, to arrive at the same or slightly larger size. Pruning appeared to have the most effect on the
outer cotyledon and radicle. During the oil filling phase, the seeds from the pruned plants were slightly
larger, had slightly larger embryos and more importantly, slightly larger cotyledons. Pruning did not
affect the amount of protein bodies in the cotyledons. At maturity, after desiccation, the proportion of
the seed occupied by the cotyledons did not differ between the treatments.
In both experiments, pruning caused the mainstem inflorescence to continue to elongate, thus
increasing the height of these plants compared with controls. On the control plants, the leaves began
to yellow 23 days after flowering when the siliqua had reached 85% of their final size. On the pruned
plants leaves were still green and intact at 50 days after flowering, when the siliqua had reached their
final length. About 6 weeks after flowering, the seeds separated from the siliqua walls and changed
colour, beginning at the chalazal end, i.e. the end not attached to the siliqua, changing from green to
black over 2 to 3 days while the embryo within changed from green to yellow. The embryo changed
from green to yellow over 3 to 5 days. It was not unusual to see half-green embryos inside newly
blackened seeds.
The timing of the final phase of maturation - the blackening of seeds, occurred 41 to 45 days after
anthesis and did not vary between cultivars or treatments, despite the amount of green foliage still
remaining on the pruned plants. We have yet to discover whether this difference is associated with a
change in oil concentration.
CONCLUSION
Increasing the early rate of development of the cotyledons, the oil bearing tissues (e.g. by increasing
the supply of nitrogen), does not automatically increase oil concentration in the mature seed.
Increased early growth of cotyledons delays the beginning of oil accumulation slightly, but when it
starts it goes at a faster rate. If this combines with a long period of accumulation (associated with cool
growing conditions and early sowing), final oil concentration will be high. On the other hand, a 'good
start' to oil accumulation may be limited later by warmer weather that reduces the time over which oil
accumulates, or dry conditions that may reduce the rate of oil accumulation, thus producing seed with
low oil concentrations.
KEY WORDS
canola, embyro growth, oil concentration, cotyledon
ACKNOWLEDGMENTS
Dr N. Galwey and Doug Hall contributed to the design of the first experiment and Dr D. Harris,
Chemistry Centre of Western Australia, advised B. Tan about the analysis of oil concentrations.
Prof J. Kuo and H. Ngo provided advice on microscopy.
REFERENCES
Hocking, P.J. and Mason, L. (1993). Accumulation, distribution and redistribution of dry matter and
mineral nutrients in fruits of canola (oilseed rape) and the effects of nitrogen fertiliser and
windrowing. Australian Journal of Agricultural Research 44: 1377-1388.
Turner, D.W. and Farre, I. (2001). Simulating oil concentrations in canola - virtually just the
beginning. Crop Updates 2001, 21-22 February 2001, Burswood, WA 2 pages.
GRDC Project Nos:
GRS 6, UWA 292, UWA 368
Paper reviewed by:
Dr Bill Bowden
-31-
Potential and performance of alternative oilseeds in
WA
Margaret C. Campbell, Centre for Legumes in Mediterranean Agriculture
KEY MESSAGE
The agronomic performance of a number of different oilseed species to WA growing conditions is
currently being measured. These alternative oilseeds have a range of qualities and characteristics
that make them suitable for different markets not accessed by canola. Some have potential as
specialty oils with health benefits and others are highly desirable as industrial oils. Trials conducted at
a range of sites in the wheatbelt of WA have shown that some of the species are well adapted to WA
and often produced higher yields than canola.
BACKGROUND
The major focus of this research is to evaluate a range of edible, industrial and pharmaceutical oilseed
species for their suitability to Australian growing conditions. The oilseed industry has expanded
rapidly over the past five years in Australia. It is currently dominated by canola, however, as disease,
insect and economic pressures change, canola may not continue to provide agronomic/economic
benefits. There are other potentially valuable oilseed species that have been neglected in Australia,
which have the potential to be grown for the production of oils to fit different niches in the markets.
Some of the species are already being cropped in other countries. Increasing the diversity of crops
that may be profitably grown may also have additional benefits in rotations, as disease breaks and in
the reduced use of chemicals.
METHODS
In May 2000 and 2001, two trial sites were established on farmers paddocks; one at Miling, 200 km
north-east of Perth, the other near Wagin, 220 km south-east of Perth. Plots were seeded using a
cone seeder at varying seed rates depending on the species. In 2000, plots were 8 m long at Miling
and 6 m long at Wagin and comprised 6 rows 20 cm apart. Plots were sown dry on 2 May at Miling
and on 17 May at Wagin. In 2001, plots were 10 m long and comprised 8 rows 20 cm apart. Plots
were again seeded dry on 3 May at Miling and on 20 May at Wagin. Karoo canola (Brassica napus)
was used as a control in the trials. Brassica campestris and Sinapis alba (White mustard) were
included for the first time in 2001. Plots were harvested at maturity using a conventional plot
harvester. Seed for each species was collected, cleaned by sieving, weighed to determine yield and
then analysed using soxhlets and gas chromatography for oil content and quality. The seed yields for
both years are given, plus the oil content and quality for the 2000 harvest.
RESULTS AND DISCUSSION
The average harvest yields species and lines grown are shown in Table 1. The sowing rates are
quoted in kg/ha and the cleaned seed yield in tonnes/ha.
Table 1.
Comparison of seed yield for a range of oilseed species
Sowing
rate
Miling
2000
Miling
2001
Wagin
2000
Wagin
2001
Mean
yield
Canola (Karoo)
6
1.88
2.4
0.75
shattered
1.68
Brassica campestris
6
0.78
0.77
Brassica carinata
6
2.5
1.9
1.65
1.27
1.83
Brassica juncea
6
2.75
2.3
1.9
2.53
2.37
Camelina sativa
6
1.94
1.0
1.13
1.23
1.32
Crambe abyssinica*
15
2.54
1.9
1.3
1.11
1.71
Linum usitatissimum
(Linseed)
30
1.8
1.75
1.0
1.0
1.39
Linum usitatissimum (Linola)
30
1.5
1.5
0.95
0.4
1.09
0.83
0.59
Species
Sinapis alba
*
0.75
6
0.35
The seed of Crambe abyssinica retains its fruit coat intact during and after harvesting, i.e. seed is unhulled.
-32-
The results quoted represent 4 of a total of 9 regional trials conducted by CLIMA/Paramount Seeds
and the West Australian Department of Agriculture (2001 only). The new species had a similar
maturity to the canola used as a standard, but had the advantage of not requiring swathing in these
trials. In general, seed yield was comparable with Karoo canola; a promising result given that there
has been little opportunity for selection of improved genotypes. Species such as Brassica juncea
(Indian mustard) and B. carinata (Ethiopian mustard) performed much better than Karoo at both sites
in each year. Camelina sativa and Crambe abyssinica also yielded well.
In 2001, after an uncooperative end to the season, 95% of the canola was lost due to shattering at the
Wagin site. The other species suffered losses of up to 25% due to high winds and the untimely rains
that delayed harvesting. However, despite the adverse conditions, Brassica juncea and B. carinata
produced consistently good yields. Yields of Sinapis alba were inferior to Karoo and the other
mustards. The mediocre yields of Karoo may have been influenced by its susceptibility to blackleg
disease (not measured). The mustards generally, Crambe abyssinica (Crambe), Camelina sativa
(Camelina or False flax) and Linum usitatissimum (Linseed and Linola) have better resistance than
Karoo. The Brassica campestris line on the other hand was very susceptible to blackleg.
The species generally would have a place in the rotations with canola due to better resistance to root
diseases. They also provide the opportunity for oilseed production in environments in which Canola
often performs poorly, e.g. Linum usitatissimum is adapted to wet soils and Camelina sativa to sandy
soils and could significantly out yield canola in such situations.
Table 2.
Comparison of oil content and fatty acid profiles for a range of oilseeds
Species
% Oil
Palmiti
Stearic
Oleic
Linolei
Linoleni
Canola (Karoo)
40
5
2
59
21
10
2
B. campestris X
35
2
1
10
12
8
56
B. carinata
39
3
1
9
15
11
47
B. juncea
36
4
2
31
25
11
13
Camelina sativa
38
5
3
17
16
36
15
3
Crambe abyssinica*
32
2
1
15
8
7
2
60
Linseed
37
6
5
18
18
52
Linola
35
7
4
15
70
3
Sinapis alba
26
6
3
18
12
12
10
34
*
Eicosenoi
Erucic
Unhulled seed.
Although the oil content of Karoo was highest, other species were comparable and there are breeding
lines that are reportedly equal. Crambe abyssinica had typically high erucic acid, which makes it very
valuable as an industrial oil. A very early maturing Brassica campestris line proved to have an
unusually high erucic acid content for that species. This line, with its earliness, large fruit size and
vigor, is worth further development. The mustards; Brassica juncea, B. carinata and Sinapis alba, all
made good vegetative growth and higher yielding lines are likely to be available. Linseed and
Camelina sativa are high in the Essential Fatty Acids, e.g. Omega 3 (Alpha linolenic acid). However,
their high content of unsaturated fatty acid may influence their keeping qualities. Camelina oil is
currently being marketed in Europe as a food, cosmetic and health food supplement.
CONCLUSIONS
Although niche market opportunities exist in all cases with the new oilseeds, market development is
the main problem if they are to become viable crops in WA. Indian mustard has a market in India in
excess of 160,000 tonnes, which is currently dominated by the Canadian producers. With an existing
specialty local market this is one species worthy of serious marketing research. Camelina is included
in food and cosmetic preparations and given its high Omega 3 content is an oilseed of considerable
real potential. A market development and survey will be commenced this year with contact made with
UK, French and Finnish companies currently marketing the oil. Linseed may represent an opportunity
for local producers to revive the crop, which has fallen from favour. The European subsidy system
provides little incentive for local linseed production or alternative oilseeds generally and export market
opportunities are likely to arise.
-33-
ACKNOWLEDGMENTS
This project is funded by Rural Industries Research and Development Corporation (RIRDC) and
supported by Paramount Seeds.
RIRDC Project No.:
UWA 47a
Paper reviewed by:
Peter Carlton
-34-
Comparison of oilseed crops in WA
Ian Pritchard and Paul Carmody, Department of Agriculture, Centre for Cropping
Systems Northam. Margaret Campbell, Centre for Legumes in Mediterranean
Agriculture
BACKGROUND AND AIM
In Africa and Europe a wide range of fully domesticated oilseed crops and semi-domesticated species
are being grown commercially for edible, industrial and pharmaceutical oils. At present within WA only
Canola is grown widely. With the diverse range of environments and soil types within the WA grainbelt
there may be many opportunities/specialised niches for each oilseed. The aim of the two trials
described here was to compare the growth and yield of oilseeds in WA.
METHOD
Two trials were conducted at Merredin and Muresk each species being sown at the known optimum
seeding rate for the species. Plots were 8 rows (1.44 m) x 20 m sown on 2.5 m centres by 4
replications, a total of 40 plots. Seed and fertiliser were sown separately.
Table 1.
Trial site details for 01ME87 and 01AD68
Site
Merredin Research Station-01ME87
Layer depth
0-10 cm
Texture
10-20 cm
Sandy-Loam Loamy-Sand
Phosphorus mg/kg
Muresk-01AD68
20-30 cm
0-10 cm
10-20 cm
20-30 cm
Loam
Loam
Loam
Loam
20
14
14
19
22
15
113
108
106
43
49
43
12
17
24
4
3
4
Nitrogen nitrate mg/kg
7
9
12
10
6
4
Nitrogen ammonium mg/kg
4
3
3
1
1
1
Organic carbon %
0.86
1.08
0.72
0.48
0.68
0.52
Potassium mg/kg
Sulfur mg/kg
Reactive iron mg/kg
535
818
1063
1234
1188
1176
EC dS/m
0.04
0.04
0.06
0.03
0.02
0.02
pH 1:5CaCl2
5.3
4.9
5.0
5.0
4.9
5.0
Table 2.
Monthly rainfall for 01ME87 and 01AD68
Site
J
F
M
A
M
J
J
A
S
O
N
D
Total
M-O
Merredin-01ME87
122
34
0
3
40
9
73
30
27
10
11
5
364
189
Muresk-01AD68
12.5
62
9.5
87
42.5 26.5 23.5 15.0
0
RESULTS AND DISCUSSION
Thanks to the 2001 season both trials were sown into a drying seedbed with very dry conditions
following sowing. Establishment at Merredin was relatively poor with the exception of the false flax
which seemed to thrive under the adverse conditions which may be related to it’s very small seed size
(1000 seed wt 0.9-1.5 g). At the Muresk site Lucerne Flea resulted in considerable damage with the
false flax being the most affected again due it’s very small seed size and subsequent cotyledon size
and crambe the least affected with its almost plastic/rubber leaf texture (Table 3). Growth and
development at both sites was similar. Both trial sites had similar growing season rainfall and variable
soil properties (Tables 1 and 2). The Avon Valley site 01AD68 showing its historical age with low pH,
potassium and organic carbon per cent. It will also be interesting to see if the low soil sulfur levels at
this site will have any affect on the oil properties of the different species compared to the Merredin
Site. Initial observations at Merredin indicate that Diamond Back Moth did not appear to infect false
flax. Crop yields at Muresk were generally disappointing when compared to the yields achieved at
-35-
Merredin. Both the false flax and crambe lines at Merredin yielded significantly better than the
standard karoo plots with only the crambe line 33710 yielding significantly better than karoo at Muresk.
The implications of these results and work carried out by M. Campbell CLIMA (see paper) are that it
appears there are at least two species which may have potential in the WA grainbelt as oilseed
alternatives to canola. Both species are grown and utilised overseas for various purposes ranging
from pharmaceutical to an industrial slip agent. The inclusion of these species by growers into their
rotations will be determined by market demand and the subsequent price received.
Table 3.
Establishment counts and harvested yield (t/ha) for 01ME87 and 01AD68
Site
Merredin-01ME87
Muresk-01AD68
May 23
May 18
Sowing date
Oilseed species
Plant counts
plants/m2
Yield
t/ha
Plant counts
plants/m2
Yield
t/ha
Canola Brassica napus - Karoo
76.9
1.54
96.0
0.83
Crambe Crambe abyssinica - 337110
62.2
1.94
60.8
1.34
Crambe Crambe abyssinica - 94053
52.2
1.72
55.8
1.09
Ethiopian Mustard Brassica carinata - 193467
56.1
1.13
77.7
0.80
Ethiopian Mustard Brassica carinata - 195923
54.1
1.28
89.4
0.94
False flax Camelina sativa - 4164
146.8
1.76
114.3
0.94
False flax Camelina sativa - R339
199.5
2.05
125.4
0.70
Indian Mustard Brassica juncea
100.2
1.34
133.8
1.11
Linseed (Flax) Linum usitatissum - Glenelg
107.7
0.44
204.8
0.77
211.7
0.80
Linseed (Flax) Linum usitatissum - Walaga
LSD p = 0.05
0.219
0.236
ACKNOWLEDGMENTS
Margaret Campbell, CLIMA Research Officer for seed and advice and Avondale and Merredin
Research Station RSU’s for their on the job learning curve on the agronomy and harvesting of the
oilseed species.
GRDC Project No.:
GOP
Paper reviewed by:
Paul Carmody
-36-
Identifying constraints to canola production
Dave Eksteen, Canola Development Officer, Esperance
KEY MESSAGE
•
Potash and calcium appeared to be possible limiting factors on the sandplain.
AIMS OF PROJECT DAW 709
•
Undertake research to overcome the primary agronomic constraints to profitable canola
production.
•
Develop both variety specific, integrated and fine tuned new generation production packages for
canola based on this research which integrates yield, costs and value.
•
Demonstrate (large scale basis) these packages to growers with emphasis on crop
management and yield and to ensure the adoption of the management practices required to
produce profitable canola.
INTRODUCTION
Growers often have sections within a paddock that appears to be less vigorous in growth and often
yield lower than the rest of the paddock. As one of the aims of the GRDC sponsored project
(DAW 709) to identify the constraints to production, good and poor patches within a paddock were
analysed nutritionally to try and identify if poiuytrewl;’was a limiting factor.
CASE STUDY A
Location: Gibson
Soil type: Sand (60 to 80 cm) over gravel. A canola trial looking at possible constraints to production
was sown on the 1 June 2001. A blanket application of 100 kg Muriate of potash per ha and 190 kg
gypsum per ha was topdressed on the 7 May 2001. The trial was sown to Pinnacle and Surpass
501TT with 80 kg summit pasture.
The trial lacked vigor and showed severe calcium deficiency during flowering. Approximately half way
down the trial block two strips of very healthy and vigorous growing canola appeared across the plots.
Soil and leaf samples were taken of both good and poor sites.
RESULTS
Soil analysis (CSBP)
mg/kg
Sample ID
%
Nitrate
N
Amm
N*
P
K
S
OC*
Fe
mg/kg
Exchangeable meq/100 g
pH**
Ca
Mg
Na
K
Al
mg/kg
GOOD
0-10 cm
5
2
10
37
3.1
1.37
120
4.4
1.20
0.21
0.07
0.05
19.5
10-20 cm
4
5
14
38
4.1
1.03
157
4.6
1.30
0.21
0.09
0.08
18.6
60 cm
3
2
5
124
12.6
0.50
603
6.4
3.31
0.54
0.17
0.31
0
0-10 cm
4
2
23
73
5.6
0.99
223
4.5
1.28
0.47
0.10
0.04
13.3
10-20 cm
2
2
11
12
1.9
0.47
65
4.6
0.42
0.04
0.06
0.00
7.2
60 cm
2
2
41
19
5.7
0.29
162
6.6
3.19
0.19
0.07
0.03
0
POOR
Amm N* = Ammonium Nitrate, 0C** = Organic Carbon, pH*** in CaCl.
-37-
Leaf sample (CSBP)
Sample ID
N
%
P
%
K
%
S
%
Na
%
Ca
%
Mg
%
Cu
mg/kg
Zn
mg/kg
Mn
mg/kg
Fe
mg/kg
Nitrate
mg/kg
B
mg/kg
GOOD
2.85
0.27
2.52
0.81
0.16
1.36
0.44
3.46
POOR
1.81
0.38
1.67
0.49
0.22
0.56
0.33
3.64
25.38
68.6
68.8
955.8
31.32
24.46
100.8
47.5
56.2
29.05
DISCUSSION
From the soil analysis of both good and poor areas, the soil nitrogen seems to be similar for both, but
the good growth took up more nitrogen. Phosphorus actually increases in the poor indicating that
phosphorus is not likely to be the limiting factor. One of the likely limiting factors appears to be
potassium. The good production showed low potassium in the top 20 cm but had good levels in the
60 cm sample. Potassium decreased markedly from below 10 cm in the poor section. The tissue test
showed low potash in the poor growth section (1.6%), supporting that potassium was probably
deficient (the adequate range is 2.9-5.1%).
The soil test shows similar reasonable levels of Calcium in both good and poor growth plots. Both
plots, however, showed severe calcium deficiency in the earlier growth stage. The tissue test shows
less than half the amount of calcium in the poor growth plants compared to the good growth. This
would indicate that calcium was probably also another factor limiting production.
CONCLUSION
It would seem that the low potassium combined with low calcium and low pH could have contributed to
the low production in the poor site. The low pH and high levels of Al could indicate that there were Al
toxicity problems, reducing root growth and thus Ca and K uptake.
CASE STUDY B
A grower in Gibson found that on one corner of his canola paddock the canola was twice the size of
the rest of the paddock. Soil samples were taken of the good growing area and compared to the poor
growing area.
Soil analysis (CSBP)
mg/kg
Sample ID
Exchangeable
meq/100 g
%
Nitrate
N
Amm N*
P
K
S
OC**
Fe
mg/kg
pH***
Ca
Mg
Na
K
Al
mg/kg
0-10 cm
5
1
9
43
2.9
1.84
159
4.4
2.29
0.43
0.07
0.10
0.20
10-20 cm
3
1
12
99
6.4
0.80
258
5.5
1.67
0.35
0.06
0.21
20-30 cm
4
1
5
206
6.8
1.07
411
6.2
2.51
0.58
0.12
0.49
60 cm
6
1
6
100
7.5
0.85
305
7.0
4.74
1.18
0.18
0.27
0-10 cm
7
1
13
27
3.5
1.14
91
5.2
1.66
0.32
0.03
0.05
0.03
10-20 cm
3
1
14
16
1.7
0.25
77
5.1
0.31
0.07
0.03
0.04
0.03
20-30 cm
4
1
14
17
2.7
0.31
90
5.4
0.40
0.07
0.03
0.04
0.03
60 cm
17
1
34
42
?
0.19
120
6.7
1.40
0.11
0.05
0.12
GOOD
POOR
Amm N* = Ammonium Nitrate, 0C** = Organic Carbon, pH*** in CaCl.
DISCUSSION
The soil sample shows good nitrate nitrogen levels in the poor patch, again indicating that nitrogen
was probably not the limiting factor. The phosphorus is also higher in the poor section. The nutrients
that are significantly different in the poor section are potash, calcium and magnesium.
-38-
These results would indicate that the limiting factor in this paddock was low potash and possibly low
calcium and magnesium. The exchangeable aluminium was low indicating that this should not have
been a limiting factor. The low organic carbon level could have resulted in greater leaching of the
elements such as potash and calcium. Growers need to look at the availability of these elements to
ensure they are not limiting production on these deep sands.
RIRDC Project No.:
DAW 709
Paper reviewed by:
Mohammad Amjad
-39-
Boron – Should we be worried about it?
Richard W. BellA, K. FrostA, Mike WongB, and Ross BrennanC
ASchool of Environmental Science, Murdoch University, Murdoch WA 6150
BCSIRO Land and Water, PO Box 5, Wembley WA 6913
CDepartment of Agriculture Western Australia, Albany WA 6330
KEY MESSAGE
Soil B levels are marginal in sandy, acid soils in West Australia, especially those developed on
sandstones of the Dandaragan plateau.
In pots, B deficiency decreased seed yield of canola and lupin in sandy acid soils from the west
Moora-Dandaragan area.
Low B levels in seeds of lupin and canola harvested from low B soils decreased seed viability and
vigour.
Foliar B increased canola seed yields in simple on-farm trials in 1998 in the Great Southern Region,
but in 14 field trials carried out in 2000 and 2001, no positive responses to soil or foliar B application
were found.
No general recommendations for B fertiliser application seem warranted at this stage but soil and plant
analysis should guide its use on a case-by-case basis for the time being.
Care needs to be taken not to overuse B as toxicity was induced in lupin and canola on sandy soils on
the Yuna sandplains with only 5-10 kg borax/ha.
METHOD
Young leaves of canola and lupin crops and soil (0-10;10-30 cm) were sampled for B analysis at over
150 sites in the wheatbelt, predominantly on sandy soils in 1998. Surface horizons of 73 Reference
Soils of SW Australia were analysed for hot CaCl 2 extractable B, and these values were correlated
with soil properties (pH, clay, sand) reported by McArthur (1991). From the above Reference Soils, 14
(including sub-soils of 4 soils) were selected for a pot experiment with canola and lupins (8 soils only)
as test crops. Plants were grown in pots with and without added B, and harvested at maturity for seed
yield. On farm trials were carried out in 1998 using foliar B applications. In 2000 and 2001 cropping
seasons, 14 field trials tested soil and foliar B fertiliser applications.
RESULTS
Levels of B in young leaves of canola and lupin crops in 1998 and in soil samples suggested that 1020% of sites were potentially B deficient. Although predominantly sandy soils were selected, these
sites were widely distributed throughout the wheatbelt.
In Reference Soils of southwest Australia, extractable soil B was positively correlated with clay content
and pH, negatively with sand content but not with organic matter levels. This suggests that low clay
content (< 10%) and low pH (< 5 in CaCl2) are useful predictors of low soil B status.
Boron fertiliser increased growth and seed set in canola on four low B soils from the northern
sandplains (Table 1). These soils are acid sandy soils and were formed on sandstone rather than
granitic parent rocks. In lupins, B increased pod set only on the MRA 5 soil from east of Dandaragan.
In lupin, seed viability was about as sensitive to low soil B as seed yield. Decreases in seed viability
can be expected when seed B is < 12 mg/kg, and especially at < 6 mg/kg. The symptoms of B
deficiency observed on pods may be a useful field guide to the probability of harvesting lupin seed
which is low enough in B to impair seed viability. In canola, seed yield was more sensitive to low soil
B than in lupin. However, at marginal B levels in the soil, seed harvested may have decreased
germination and vigour. The critical seed B levels for viability and vigour of canola could not be
defined with the data available.
In the 2000 field experiments, no seed yield increases from B fertiliser application were recorded in
either lupin or canola. However, canola yields were very low at Corrigin and Yuna due to low growing
season rainfall. Yields of lupin were reasonable at Yuna due to early sowing and Moora, but there
was no positive effect of adding B fertiliser. In 2001, canola yields were higher but still no positive
responses to foliar or soil applied B fertiliser were found. Indeed at 3 sites, adding 5 or 10 kg borax/ha
at sowing depressed seed yield, mostly by decreasing plant density.
-40-
Table 1.
Properties of soils on which B application increased growth or seed set in canola in pots
Soil type
pH
(CaCl2)
Sand
(%)
Clay
(%)
Soil B
(mg/kg)
Parent
material
GTN 05
Siliceous sand Uc 5.11
5.1
90
7
0.5
sandstone
MRA 05
Siliceous sand Uc 4.21
4.5
99
1
0.1
sandstone
MRA 08
Yellow duplex Dy 4.51
4.6
98
1
0.1
sandstone
MRA 09
Siliceous sand Uc 5.11
5.2
92
6
0.2
sandstone
Soil code
Table 2.
Yield, soil B (0-10 cm) and leaf B concentrations (at budding) in canola and lupin crops with B
fertiliser (B 0) and significant B responses to B fertiliser in field experiments in 2000 and 2001.
*B tox indicates that yield was depressed by B toxicity at 5-10 kg borax/ha
B0
yield
(t/ha)
B
response
Soil B
(mg/kg)
B0
yield
(t/ha)
Leaf B
(mg/kg)
Canola 2000
B
response
Soil B
(mg/kg)
Leaf B
(mg/kg)
Lupin 2000
*B
Yuna
0.77
ns
0.5
25
Yuna
2.15
0.2
25
Corrigin
0.38
ns
0.7
27
Dandaragan
1.89
ns
0.4
23
Dandaragan
1.50
ns
0.3
21
0.3
24
0.3
19
Canola 2001
Lupin 2001
Moora
1.07
ns
0.3
-
Yuna
0.98
Narrogin
0.81
ns
0.5
-
Watheroo
0.64
Katanning
0.88
ns
0.6
-
Munglinup
1.45
ns
0.5
-
Esperance
2.00
ns
0.6
-
Corrigin
0.69
ns
0.5
-
0.5
-
Yuna
1.36
*B
tox
tox
*B
tox
ns
CONCLUSION
Our results confirm that the risk of B deficiency cannot be discounted but field evidence suggests it is
not severe in any of the areas studied. The areas most at risk have sandy, acid soils and occur on the
sandplains of the Dandaragan Plateau, stretching from West Midlands to the Eradu sandplains.
No general recommendations for the use of B fertiliser on lupin and canola are warranted at this stage.
However, farmers should remain vigilant for B deficiency symptoms especially on sensitive crops
(canola, lucerne, chickpea); request soil and plant tests for B if concerned about B deficiency risk; and
act on this information plus the advice of their local agronomist.
Soil or foliar B applications can be used to treat B deficiency. Foliar application is rapid acting but the
correct timing of the application is important. Solutions of 1% (w/v) solubor (containing 21% B) are
commonly used. Soil applications generally last longer although B may be leached from acid sandy
soils and this may reduce the effectiveness of B fertiliser. Rates of B application should be < 5 kg of
borax/ha on sandy soils to prevent the risk of B toxicity.
KEY WORDS
boron, deficiency, sandy acid soils, seed set, seed viability, soil analysis, toxicity
REFERENCES
McArthur, W.M. (1991). Reference Soils of South-Western Australia. WA Dept. of Agriculture/Aust.
Soc. Soil Science Inc. (WA Branch), Perth.
GRDC Project No.:
UMU69
Paper reviewed by:
Dave Eksteen
-41-
Yield losses caused when Beet Western Yellows
Virus infects canola
Roger Jones and Jenny Hawkes, Department of Agriculture, and Centre for
Legumes in Mediterranean Agriculture
KEY MESSAGE
In two field experiments in 2001, infection with BWYV that started early and reached 98% and 93% of
plants decreased seed yield of canola by 37% and 46% respectively.
BACKGROUND
Beet western yellows luteovirus (BWYV) is transmitted by aphid vectors. In the grainbelt of south-west
Australia, aphids spread BWYV to canola and pulse crops from infected weeds, especially wild radish.
In surveys in 1998 and 1999, BWYV was found in 59% and 66% of canola crops sampled
respectively. In Europe, infection with BWYV is reported to decrease seed yields of canola by
10-35%, and also to diminish oil and increase glucosinolate contents. No yield loss data has been
collected for viruses infecting canola in Australia.
METHODS
In the 2001 growing season, at two Department of Agriculture Research Station sites (Badgingarra
and Medina), field experiments with BWYV and canola were done to provide yield loss information. To
obtain early BWYV spread and high incidences of infection, small numbers of canola plants infected
with BWYV and infested with green peach aphids (Myzus persicae) were introduced into plots of some
treatments in each experiment. Foliar pyrethroid + imidacloprid insecticide applications were used to
suppress BWYV spread differentially within the treatments. Colonising aphids were counted before
and after spray applications. Each plot was sampled fortnightly to determine BWYV incidence and the
samples tested by TBIA using BWYV specific antiserum. Harvest and threshing was by machine
following swathing at Badgingarra and by a mixture of machine and hand at Medina.
RESULTS
In both experiments, BWYV spread very quickly in young plants causing symptoms of leaf reddening
and plant stunting that were absent in healthy plants. These symptoms persisted and growth of
heavily infected plots was noticeably stunted compared with the lush growth of sprayed plots without
infector plants. Spraying at emergence was ineffective in suppressing early virus spread at
Badgingarra. Blanket insecticide sprays were eventually needed at both sites to prevent substantial
BWYV infection of control plots. At Badgingarra, BWYV infection in plots with infector plants but
without insecticide spray treatments (up until 12 weeks from emergence) reached 98% of plants
compared with 8% in plots with no infector plants and regular spray treatments starting at emergence,
giving yield losses of 37% (Figure 1). At Medina, BWYV infection in plots with infector plants but
without insecticide spray treatments (up until 3 months from sowing) reached 93% compared with 10%
in plots with no infector plants and regular spray treatments, giving yield losses of 46% (Figure 2).
Early aphid numbers before plots were sprayed were insufficient to have contributed directly to the
yield losses.
CONCLUSIONS
This work shows that, when aphids spread it to canola crops early, BWYV has substantial yield limiting
potential in the WA grainbelt. Although the results represent a ‘worse case scenario’, the losses were
greater than those reported in Europe and are cause for concern.
KEY WORDS
canola, oilseed, virus, disease, yield loss, risks
We thank Brenda Coutts, Lisa Smith, Rohan Prince, Gavin D’adhemar and Stewart Smith for technical
support, and the Grains Research and Development Corporation for funding.
GRDC Project No.:
UWA 313
Paper reviewed by:
Martin Barbetti
-42-
Badgingarra (01BA6), machine harvested plots
% BWYV
1.8
100
1.6
90
1.4
80
70
1.2
60
1.0
50
0.8
40
0.6
30
0.4
20
0.2
10
0.0
0
A
B
C
D
E
% BWYV infection
Yield t/ha
Yield
F
Treatment
Figure 1.
Effect of BWYV on yield of canola cv. Pinnacle, Badgingarra.
A = sprayed at emergence, 4, 8 and 12 weeks + infector plants; B = sprayed at 8 and 12 weeks
+ infector plants; C = no spray + infector plants; D = no spray - infector plants; E = sprayed at
emergence, 4, 8 and 12 weeks - infector plants; F = sprayed at 8 and 12 weeks - infector
plants. Starting at 12 weeks, all plots sprayed fortnightly. Bar = LSD.
Medina (01MD27), hand harvested plots
Yield t/ha
% BWYV
100
3.0
90
2.5
70
Yield t/ha
2.0
60
50
1.5
40
1.0
30
% BWYV infection
80
20
0.5
10
0.0
0
A
B
C
D
Treatment
Figure 2.
Effect of BWYV on yield of canola cv. Pinnacle, Medina.
A = sprayed at emergence and then every 2 weeks + infector plants; B = no spray + infector
plants; C = no spray - infector plants; D = sprayed at emergence, then every 2 weeks infector plants. Starting at 3 months from sowing, treatments B and C also sprayed
fortnightly. Bar = LSD.
-43-
Influence of climate on aphid outbreaks and virus
epidemics in canola
Debbie Thackray, Jenny Hawkes and Roger Jones, Centre for Legumes in
Mediterranean Agriculture and Department of Agriculture
KEY MESSAGES
•
A predictive model and decision support system (DSS) are being developed for use by advisers
and growers in canola crops. The DSS will forecast the risk of aphid outbreaks and of beet
western yellows virus (BWYV) epidemics and the need for insecticides to control both spread of
the virus by its aphid vectors and direct aphid feeding damage.
•
Once completed, the DSS will allow efficient targeting of insecticides, so as to avoid
unnecessary and costly prophylactic use, reduce the likelihood of insecticide-resistant aphid
populations building up and provide an environmentally responsible approach to control.
•
To validate the forecasting model, aphid population and virus epidemic development was
recorded each year over 3 years in canola blocks at four sites in different rainfall zones in the
WA grainbelt.
•
Early aphid arrival followed substantial rainfall in the two months preceding the growing season.
•
When the key BWYV vector, the green peach aphid, predominated, early aphid arrival led to
substantial BWYV spread. This did not occur when turnip aphid predominated.
BACKGROUND
The primary inoculum source of beet western yellows virus (BWYV) in the WA grainbelt is infected
plants surviving over summer. Aphids moving into canola crops after feeding on these virus sources,
especially wild radish, spread BWYV to healthy plants during feeding. A forecasting model is being
developed to forecast aphid build-up and BWYV transmission in canola crops. To validate the model
and ensure that it accurately forecasts aphid arrival and numbers and virus spread at different
locations over a range of seasons, data on aphid and virus incidence in canola have been collected
from sites representing the different rainfall zones in the WA grainbelt.
Large, square blocks of canola were established in 1999, 2000 and 2001 at Agricultural Research
Stations at Merredin (average annual rainfall 330 mm), Avondale (Av. 420 mm), Badgingarra
(Av. 600 mm) and Mount Barker (Av. 750 mm). The blocks were always sown by 2 June. The blocks
were sown adjacent to wild radish weeds, potential sources of BWYV. Sites were visited every 2-3
weeks during the growing season. On each visit, numbers of aphids of different species were counted
on one shoot tip (top 10 cm) and two lower leaves of each of 50 plants. Also, 200 canola shoot
samples collected at random were tested for BWYV in the laboratory by tissue blot immuno-assay
(TBIA).
RESULTS
In 1999 and 2000, aphids arrived earliest and virus spread was greatest at those sites with highest
pre-growing season rainfall (Table 1). Conversely, aphids arrived latest and virus spread was least at
those with lowest pre-growing season rainfall. In all three years, across all sites the magnitude of
BWYV spread that occurred was not correlated with numbers of aphids colonising canola plants.
In 2001, in contrast to previous years, except at Mount Barker where green peach aphid dominated,
the predominant aphid species present was turnip aphid. Aphids were most numerous at Merredin
with an average of 36 per shoot tip (all species) in mid-August (Figure 1). BWYV incidence at Mount
Barker, Avondale and Merredin only reached 2%, 0.5% and 0.5% respectively, with no BWYV
recorded at Badgingarra. At all sites, final virus incidence was much lower than in 1999, and the same
as or lower than in 2000. However, peak aphid numbers were generally higher than in previous years.
Time of arrival of green peach aphid but not turnip aphid was correlated with rainfall in March-April.
In 2001, there was very little summer rainfall except at Merredin, where rainfall was substantial in
January-February (165 mm) but low in March-April (3.4 mm). Early expectations were that aphid
-44-
arrival would be late at all sites, and this occurred except at Merredin where turnip aphids were first
recorded early (19 June). However, green peach aphids were not recorded at Merredin until
14 August where their numbers remained low. Consequently BWYV spread was very low at all four
sites.
Table 1.
Canola validation blocks 1999-2001 at four sites: date green peach aphids first recorded, final
BWYV incidence and March-April rainfall (mm)
March + April rainfall
(mm)*
Site
Avondale
% Final BWYV
infection
Date aphids first recorded
1999
2000
2001
1999
2000
2001
1999
2000
2001
38
33
1.5
29 June
no aphids
14 August
44
0.5
0.5
170
60
4.9
9 June
13 June
7 August
81
6
0
Merredin**
93
68
3.4
11 June
19 July
14 August
48
0.5
0.5
Mount Barker
52
162
37.2
5 August
1 June
26 July
17
Badgingarra
2
Rainfall data from SILO Data Drill (Queensland Department of Natural Resources).
8
Highest aphid numbers/shoot
% plants with BWYV
Date aphids first recorded
6
23-Jul
2-Aug
4
12-Aug
2
0
Date aphids first
recorded
Highest aphid Nos/shoot
% BWYV infected plants
*
51
22-Aug
1.5
3.4
4.9
37.2
Avondale
Merredin Badgingarra Mount Barker
Site and total Mar/Apr rainfall (mm)
Figure 1.
Date green peach aphids first seen, highest average green peach aphid numbers/shoot and
final % BWYV incidences in canola blocks in different rainfall zones in 2001.
CONCLUSIONS
When the key BWYV vector, the green peach aphid, predominated, early aphid arrival in canola led to
substantial BWYV spread. However, when the predominant species was turnip aphid, early aphid
arrival did not. Late aphid arrival always resulted in low BWYV incidence. Rainfall promotes growth of
weed and pasture plants which aphids can build up on before flying to crops. When there is little
pre-growing season rainfall over summer, aphids and BWYV can persist only in isolated pockets of
surviving vegetation, so aphid build-up and migration to crops is delayed. Early aphid arrival always
followed substantial rainfall in the two months preceding the growing season. When little rain fell in
March-April, aphids arrived late. The only exception was Merredin in 2001 when turnip aphids arrived
in mid-June but green peach aphids were not seen until mid-August. Presumably, the difference in
arrival dates of the two aphid species at Merredin was influenced by differences in their tolerance of
dry conditions and in the survival of their preferred host plants during the dry months of March and
April, which followed substantial rainfall in January and February in 2001.
The information gathered from these blocks is being used to validate the model forecasting aphid
outbreaks and BWYV epidemics in canola. Subsequently, the model will be adapted to provide a
decision support system (DSS) for use in targeting insecticides to control BWYV spread by aphid
vectors. Information on summer host plants of BWYV is being collected throughout the grainbelt and
on yield losses from BWYV infection (GRDC project UWA 313) and will be used to refine model
predictions. Data on aphid feeding damage from GRDC project DAW 489 (see Berlandier in 2000 and
2001 Updates) will also be incorporated. Forecasts will be made available through the Internet,
PestFax, TopLine, rural radio, etc.
-45-
ACKNOWLEDGMENTS
This work was supported by the Grains Research and Development Corporation. We thank Brenda
Coutts, Lisa Smith, Donna Atkins, Rohan Prince and Christine Woods for technical assistance.
KEY WORDS
BWYV, aphids, model, decision support system
GRDC Project No.:
UWA 290
Paper reviewed by:
Roger Jones and Martin Barbetti
-46-
The annual shower of blackleg ascospores in
canola: Can we predict and avoid it?
Moin U. Salam, Ravjit K. Khangura, Art J. Diggle and Martin J. Barbetti,
Department of Agriculture, Western Australia.
KEY MESSAGE
A simple computer model has been developed to simulate temporal discharge of blackleg ascospores
from canola stubble left in the paddock from previous season’s crop. The model was tested and
verified with the blackleg spores trap data. Using historical weather data, the model was employed to
predict annual ascospore showers in three locations: East Chapman, Wongan Hills and Mt Barker.
The model predicts that canola seedlings can avoid major ascospore showers in East Chapman area
by sowing early in the season. This is possible given that the break is early or even average, but not
when it is late. Early sowing in Wongan Hills area can also avoid major ascospore showers coinciding
with the susceptible seedling stage of canola to a considerable extent, but here this is only limited to
an early break. On the contrary, late sowing, irrespective of time of break, could help seedlings
escape the largest of the major ascospore showers in Mt Barker area. This will, however, encounter
yield penalty due to delayed sowing and it is still possible that the remaining smaller ascospore
showers falling on seedlings could potentially cause serious blackleg disease in spite of delayed
sowing.
BACKGROUND
Blackleg, caused by Leptosphaeria maculans (Desm.) Ces. and de Not., is a serious disease of
canola, Brassica napus L., and is of world-wide importance (West et al. 2000). The overwhelming
source of blackleg inoculum is infected canola stubble from previous years’ cropping. In autumn and
winter, depending on rainfall and temperature, the fruiting bodies (pseudothecia) mature on the
stubble. Release of ascospores is then triggered by rainfall events. As most of the canola cultivars,
irrespective of the level of their adult plant resistance, are highly prone to infection by the fungus at the
seedling stage, the pattern of ascospore release (i.e. the events of ascospore shower) could provide a
valuable information to manage the disease at the early growth stage of the crop. Canola pathologists
in the last few years have been studying the maturation of pseudothecia and ascospore discharge by
blackleg fungus on canola residues in Western Australia (Khangura et al. 2002, this book). Analysing
and synthesising this information, we have developed a computer model to address two key
questions: (i) Can we predict the temporal discharge of ascospores from canola stubble? If so,
(ii) can we use the model to investigate if the major ascospore showers at seedling stage be avoided
by manipulating sowing time?
METHOD
A computer model has been developed using seven parameters related to temperature and rainfall
requirements for pseudothecia maturity, maturity duration of pseudothetia during a season, rainfall
requirement for ascospore release from the matured pseudothecia, and fraction of ascospores
released from the matured pseudothecia during each rainfall event. The model runs on a daily scale
for a whole year using daily maximum and minimum temperatures and rainfall as weather inputs.
The model was tested with the blackleg spores trap data collected daily from Mt Barker during 1999
and 2000 seasons and from East Chapman during 2000 season (Khangura et al. 2002). Using
historical weather data, the model was employed to predict annual ascospore showers in three
locations: East Chapman (1998-2000), Wongan Hills (1998-2001) and Mt Barker (1991, 1993-2001).
RESULTS
The model satisfactorily predicted the events of ascospore showers as observed in two locations (not
shown) indicating its potential value to use as a tool for such predictions in an area where such
information is required especially in relation to management of the disease through sowing time
manipulation. For example, in the East Chapman area, major ascospore showers can be avoided by
sowing early in the season in some years. This is possible given the break is early (1999) or average
(1998), but not when it is late (2000). Early sowing in Wongan Hills area can also avoid major
-47-
ascospore showers to a considerable extent, but this is only limited to an early break (such as
occurred in 1998). On the contrary, late sowing, irrespective of time of break, could help seedlings
escape the largest of the major ascospore showers in Mt Barker area. However, in this area late
sowing is associated with potential yield penalty (Figure 1) and it is still possible that the remaining
smaller ascospore showers falling on seedlings could potentially cause serious blackleg disease in
spite of delayed sowing.
East Chapman
Wongan Hills
Simulated spores
First sowing opportunity
Mt. Barker
Late sowing opportunity
Delayed sowing yield penalty
1.0
Relative fraction of discharged spores
0.8
0.6
Early break
14 April ’99
0.4
Early break
15 April ’98
Early break
8 May ’01
0.2
0.0
Delayed sowing yield penalty
1.0
0.8
0.6
Normal break
10 May ‘98
0.4
Normal break
18 May ‘99
Normal break
24 May ‘97
0.2
0.0
Delayed sowing yield penalty
1.0
0.8
0.6
Late break
19 June ‘00
0.4
Late break
15 June ‘00
Late break
18 June ‘97
0.2
0.0
Apr
Jun
Aug
Oct
Dec
Apr
Jun
Aug
Oct
Dec
Apr
Jun
Aug
Oct
Dec
Time (month) of the year
Figure 1.
Prediction of ascospore discharge from one-year-old canola stubbles in East Chapman,
Wongan Hills and Mt Barker areas. Three scenarios of seasonal break (arrows), early,
mid and late within the best-bet sowing window of an area (CVSG, 2002) have been
highlighted.
CONCLUSION
In addition to forecasting the ascospore showers, the model can track down the stages of
development of pseudothecia maturity. Pseudothecia maturity is a good indicator of whether an early
shower is possible or likely. Such information a month ahead of the sowing time, especially in
Wongan Hills and Mt Barker areas, could help growers in deciding blackleg management strategies,
including the use of sowing time.
ACKNOWLEDGMENTS
The Grains Research and Development Corporation (GRDC) provide funds for this research. GRDC
Project DAW 591, Agriculture Victoria and the University of Melbourne are collaborating with this
modelling.
-48-
REFERENCES
CVSG (2002). Crop Variety Sowing Guide for Western Australia. Bulletin 4529. Department of
Agriculture, Western Australia.
Khangura, R.K., Barbetti, M.J., Salam, M.U. and Diggle, A.J. (2002). Environmental influences on
production and release of ascospores of blackleg and their implications in blackleg management
in canola Crop Updates 2002, 2002 Oilseeds Update-Western Australia.
West, J.S., Kharbanda, P.D., Barbetti, M.J., and Fitt, B.D.L. (2000). Epidemiology and management of
Leptosphaeria maculans (phoma stem canker) on oilseed rape in Australia, Canada and
Europe. Plant Pathology 50: 10-27.
KEY WORDS
canola stubble, quantitative epidemiology, modelling
GRDC Project No.:
DAW 621
Paper reviewed by:
Dr Martin Barbetti
-49-
Environmental influences on production and release
of ascospores of blackleg and their implications in
blackleg management in canola
Ravjit K. Khangura, Martin J. Barbetti , Moin U. Salam and Art J. Diggle,
Department of Agriculture, Western Australia
KEY MESSAGE
Blackleg survives on canola residues after harvest in the form of fruiting bodies. Release of
ascospores from the fungal fruiting bodies usually synchronises with the crop emergence. However,
the exact timing of production of fruiting bodies on the residues and subsequent initiation of ascospore
discharge in different environments of WA is not known. A study was undertaken to investigate the
timings of maturation of fruiting bodies in 4 different environments of WA. The results indicated that
the fruiting bodies matured earlier in high rainfall than in medium and low rainfall areas. Likewise,
ascospore discharge commenced early in high rainfall areas and late in northern low rainfall areas.
The ascospore release was at its peak during May and June in high rainfall areas and during
July-August in low rainfall areas. Environmental influences were also observed on the total number of
ascospores discharged in different rainfall areas. This information could be used in modelling towards
developing a decision support system for a regional scale management of blackleg in WA.
AIMS
Blackleg is a major disease of canola and is known to cause substantial yield losses in canola in
Western Australia (Khangura et al. 2001; Salam et al. 2001).
In WA, blackleg is generally managed through use of resistant cultivars and cultural practices and by
using fungicides such as Impact®. An understanding of the environmental effects on the development
of the blackleg is important to further improve blackleg management strategies in the State.
Ascospores released from fruiting bodies (pseudothecia) of infected residues serve as a source of
primary inoculum. However, no information is available on the maturation of fruiting bodies in the
Mediterranean climate of WA. There is very little information available on the discharge of ascospores
from residues in WA. The information gained on effect of various environmental factors on the release
of blackleg spores will help in refining the blackleg management packages. This is particularly
important in decision making with regards to the judicious use of fungicides in order to maximise
grower’s returns.
METHODS
Monitoring maturation of fruiting bodies on residues
Canola stems from previous year’s crop were collected during 1998, 1999, and 2000 from Mt Barker,
Wongan Hills, Merredin and East Chapman to represent high, medium and low rainfall and northern
areas, respectively, of WA. Approximately 20-40 stems were collected weekly, each year from each of
the above locations. Each stem was observed for the maturation of fruiting bodies of blackleg under
the microscope. A total of about 10,000 stems were observed for these studies during 1998-2000.
Spore trapping
At Mt Barker the ascospore release was studied from residues of the previous year’s crop (1-year old)
during 1999 and 2000 and 2 year old residues during 2000. Likewise, at East Chapman the
ascospore release was studied from 1 and 2 year old residues during 2000. A 7-day recording
volumetric spore trap (Burkard Scientific, Rickmansworth, Hertfordshire, England) was set up in each
paddock containing either 1 or 2-year old residues.
-50-
RESULTS
Monitoring maturation of fruiting bodies on residues
Fruiting bodies matured earlier at Mt Barker compared with the other locations during all three years of
study (Table 1). However, at Wongan Hills and Merredin that represent medium and low rainfall
areas, respectively, the fruiting bodies matured almost at the same time during 1999 and 2000. There
was a variation in the timings of fruiting bodies maturation between years within the same location. At
East Chapman, the fruiting bodies matured about 3 and 5 weeks earlier in 1999 than in 1998 and
2000, respectively.
Table 1.
Dates of first detection of ascospores in the fruiting bodies at different locations during
1998-2000
Location
Year
1998
1999
2000
Mt Barker
12 May
14 April
13 March
Wongan Hills
21 June
26 May
22 June
6 July
24 May
25 June
Merredin
E. Chapman
19 June
1 June
4 July
Spore trapping
There was a daily variation in the discharge of ascospores. At Mt Barker, the release of ascospores
from residues of the previous year’s crop started on 17 March (Figure 1a) and at E. Chapman on
18 July (Figure 1b). No apparent diurnal pattern of ascospore discharge was observed.
At Mt Barker, the maximum numbers of ascospores were released in the month of June during 1999
and in May during 2000 (Figure 2a). At East Chapman, the ascospore discharge from residues of
previous year’s crop started in July, reached a peak in August and then declined in September. No
ascospores were discharged in October (Figure 2b).
At both the locations, the discharges of ascospores from 2-year old residues followed a similar pattern
except that the number of ascospores discharged from 2-year old residues was reduced by about
90%. This lower number of ascospores could be attributed to the reduced amount of residues due to
raking and burning. The amount of residues left after raking and burning in another location was
observed to be about 20-30% of the total amount (R.K. Khangura and M.J. Barbetti, unpublished
data). At Mt Barker the number of ascospores discharged from residues of previous year’s crop was
higher in 1999 compared with during 2000. This could possibly be ascribed to relatively drier
conditions in April and May in 2000. This dry spell appeared to have retarded the development of
fruiting bodies.
CONCLUSIONS
The fruiting bodies of the blackleg fungus matured at different times in different rainfall areas of WA
and appeared to be possibly influenced by temperature and rainfall. The spore trapping studies
indicated that there was a seasonal pattern of ascospore discharge. This information on fruiting body
maturation coupled with initiation of ascospore discharge could possibly be exploited to develop
disease management strategies by avoiding major ascospore showers at the seedling stage of
maximum susceptibility. This study could also help to make decisions about the use of fungicides for
better blackleg management in different environments. The results from these studies will form the
basis of developing models for predicting ‘ascospore showers’ by blackleg in different canola growing
regions of WA.
ACKNOWLEDGMENTS
The Grains Research and Development Corporation (GRDC) provided funds for this research. We
also thank Mr M. Aberra and Mr Tim Trent for providing excellent technical assistance.
-51-
REFERENCES
Khangura, R., Barbetti, M.J., Salam, M.U. and Diggle, A.J. (2001). Maturation of pseudothecia and
ascospore discharge by blackleg fungus on canola residues in western Australia: Preliminary
results from field observations. In proceedings ‘12th Australian Research Assembly on
Brassicas, ed. S.J. Marcroft’, Geelong, Victoria, pp. 87-91.
Salam, M.U., Galloway, J., Khangura, R., Diggle, A.J., Macleod, W.J. and Barbetti, M.J. (2001).
Spread of blackleg in canola: A regional scale simulation model. . In proceedings ‘12 th
Australian Research Assembly on Brassicas, ed. S.J. Marcroft’, Geelong, Victoria, pp. 101-105.
GRDC Project No.:
DAW 591
Paper reviewed by:
Dr M.J. Barbetti and Dr M. Sweetingham
-52-
-53-
31/10/2000
24/10/2000
17/10/2000
10/10/2000
03/10/2000
26/09/2000
19/09/2000
12/09/2000
05/09/2000
29/08/2000
22/08/2000
15/08/2000
08/08/2000
01/08/2000
25/07/2000
18/07/2000
11/07/2000
04/07/2000
100
27/06/2000
20/06/2000
13/06/2000
06/06/2000
30/05/2000
23/05/2000
16/05/2000
09/05/2000
02/05/2000
25/04/2000
Figure 1a. Daily ascospore discharge pattern of ascospores of blackleg from 1 year old residues at
Mt Barker during 2000. The arrow indicates timing of fruiting bodies maturation.
350
300
250
200
150
FB
Mature
50
0
Figure 1b. Daily ascospore discharge pattern of ascospores of blackleg from 1 year old residues at
E. Chapman during 2000. The arrow indicates timing of fruiting bodies maturation.
27/10/2000
13/10/2000
29/09/2000
15/09/2000
01/09/2000
18/08/2000
04/08/2000
21/07/2000
07/07/2000
23/06/2000
09/06/2000
26/05/2000
12/05/2000
28/04/2000
14/04/2000
31/03/2000
17/03/2000
500
18/04/2000
03/03/2000
0
11/04/2000
04/04/2000
28/03/2000
Daily spores
Daily spores
2500
2000
1500
1000
FB
mature
20000
spores in 99 on 1-year residues at MB
Total number of ascospores/m3
18000
spores in 00 on 1-year old residues at
MB
spores in 00 on 2-year old residues at
MB
16000
14000
12000
10000
8000
6000
4000
2000
0
March
April
May
June
July
Aug
Sept
Oct
Figure 2a. Total number of ascospores discharged/m3 on monthly basis from residues of previous crop
trapped during 1999 and 2000 and from 2 year old residues that were raked and burnt in the
previous year trapped during 2000 at Mt Barker
1600
spores in 00 on 1-year old residues at
EC
Total number of ascospores/m3
1400
spores in 00 on 2-year old residues at
EC
1200
1000
800
600
400
200
0
March
April
May
June
July
Aug
Sept
Oct
Figure 2b. Total number of ascospores discharged/m3 on monthly basis from residues of previous crop
and from 2 year old residues that were raked and burnt in the previous year trapped during
2000 at East Chapman
-54-
WA blackleg resistance ratings on canola varieties
for 2002
Ravjit Khangura, Martin J. Barbetti and Graham Walton, Department of
Agriculture, Western Australia
Blackleg is one of the most important diseases of canola and has the potential to cause major yield
losses. Growing resistant varieties is the most economic method of managing blackleg in canola, and
breeding for blackleg resistance is one of the key objectives of canola breeders in Australia and
overseas. Commercial varieties bred in Australia are screened around the country at their advanced
stages of development in the blackleg disease nurseries under extreme blackleg pressure. There are
two separate rating systems available for assessing the level of blackleg resistance in canola varieties
namely Blackleg Survival Ratings and Blackleg Canker Ratings.
BLACKLEG SURVIVAL RATINGS
Various commercial varieties and high performance crossbred selections are grown under severe
disease pressure and establishment and maturity plant counts are made. The percentage of surviving
plants is calculated for each line and then a survival score is assigned to each line/variety accordingly.
Each variety must have been in trials at least for two years and at six sites, until then only a provisional
ranking is assigned. These ratings are published annually by the Canola Association of Australia as
the ‘National Australian Canola Variety List’ for ‘Blackleg Survival Ratings’. The advantage of this
system is that it records plants lost during the season, but, it assumes that all plants lost are from
blackleg, when on some occasions other causes (e.g. Rhizoctonia damping-off or insect damage and
or environmental factors) may also result in plants being lost.
Blackleg canker ratings
Various varieties and advanced selections are grown in disease nurseries as above. When flowering
is finished the plants are rated for the severity of blackleg crown cankers. A per cent disease index on
each line is calculated and a Blackleg Canker Rating score is assigned to each line or variety
accordingly. Each variety must have been in trials at least for two years and at four sites, and until
then only a provisional ranking is assigned. The advantage of this system is that it gives a reliable
assessment of the impact of blackleg on surviving plants and can be related to yield losses occurring
in WA. On the other hand, this system does not account for plants lost to blackleg during the season.
Since neither of the above systems demonstrates a complete picture of blackleg resistance, ‘WA
Blackleg Resistance Ratings’ have been derived to combine the benefits of both systems. The
blackleg survival rating provides the level of survival among different varieties and the blackleg canker
rating provides severity of crown cankers on the surviving plants. Combining both systems provides a
complete picture of the level of resistance of a variety based upon its performance in relation to plant
survival and the severity of crown cankers. In assigning WA Blackleg Resistance Rating scores to
canola varieties for 2002, the blackleg canker rating scores from 1996 to 2001 along with the blackleg
survival scores for 2000 and 2001 have been used. The WA Blackleg Resistance Ratings varietal
scores for 2002 are given in Table 1. These ratings should be used as a guide in determining the
yield losses in WA from blackleg for varieties with different Blackleg Resistance Rating scores under
various disease pressure situations as outlined in Bulletin No. 4480 ‘Managing Blackleg’.
-55-
Table 1.
WA Blackleg Resistance Rating for canola varieties for 2002. (The higher the number the
greater the level of resistance to blackleg.)
Variety
Triazine tolerant
Rating
Variety
Clearfield # system
Rating
Karoo
4
46C74
4P
Surpass300TT
4P*
44C71
5
Beacon
5
44C73
5P*
Drum
5
Surpass 402CL
8+
Clancy
5
Surpass 603 CL
8+P*
Hyden
6
Pinnacle
6
Surpass 600 TT
6
Grace
7P*
Surpass501TT
8+P*
Conventional
*
Georgie
4
Outback
4
Monty
4
Mystic
4
46CO3
4P*
47CO2
5
Oscar
5
Rainbow
5
Ripper
5
Surpass 600
5
Charlton
6
Dunkeld
6
Emblem
6
Purler
6
Hyola 60
8+
Surpass 400
8+
The varieties with less than two years or four sites data have been given a provisional rating and a letter P
follows the scores for these. This means their rating could change based upon their performance for blackleg
resistance in trials in 2002.
0-2 = Highly susceptible.
3-4 = Moderately susceptible.
5-6 = Moderately resistant.
7-8 = Resistant.
8+ = Highly resistant.
# Trademark of BASF.
-56-
Bronzed field beetle management in canola
Phil Michael, Department of Agriculture, Albany
KEY MESSAGES
Bronzed field beetle larvae can destroy canola stands and they thrive where surface plant material is
abundant. The adult stage can be counted more easily, and less than 13 beetles/m 2 may lead to
economic damage. Chemicals are not highly effective against this pest.
BACKGROUND
The bronzed field beetle, Adelium brevicorne, is abundant in southern high and medium rainfall zones.
Little was known of the biology of this pest prior to this project, set up to investigate false wireworms
and other new seedling pests of canola.
METHODS
Adults and larvae of bronzed field beetle were observed in and around paddocks over three years.
The density of adults was estimated with quadrat counts in the field, whereas larvae were estimated
by taking soil cores (usually 12 cores 10 cm in diameter) and searching for larvae. In experiment A,
lupin and previous cereal crop residue of almost 5 t/ha was removed off one treatment with a light
lawn rake (in February before eggs were laid) and placed on the other treatment. For experiments B
and C, chemicals were applied with a boom spray onto crops seeded into crop residues with minimal
disturbance. It had been observed on commercial crops that a single spray, applied on heavy stubble,
was not very effective against larvae. Therefore in experiment C, three sprays were applied after dark,
as larvae became active, with the first spray being applied before crop emergence.
FINDINGS
Observations have shown that adults shelter by day under crop residues, stumps or tufts of grass. In
early autumn, a large proportion of a female's body may be occupied with eggs before these are laid.
In one m2 of heavy plant residues (especially lupins) approximately 13 adults gave rise to over 1,500
larvae, which was sufficient to kill most of the seedlings. Half this number may be worth treating.
Although larvae may be seen under trash, it is difficult to estimate population densities this way.
Adults are more easily counted on small areas of ground. Four times the number of adults may be
found under squares of carpet anchored to the ground and left for a few days. If moisture is sufficient,
these larvae may reach a damaging length of five mm before the crop is seeded. Larvae (false
wireworm) chew canola stems at ground level, causing thinning of the crop or destruction of large
areas. They begin changing to the pupal stage in August and new adults appear soon after. Adults
may be harvested with swathed crops and have led to problems with export grain.
In experiment A with raked and stubble treatments, it was clearly shown that the bronzed field beetle
requires surface residues for shelter and breeding. Counts by day showed that adults were only in
stubble plots, but sampling with pitfall traps and carpet squares revealed that adults actually moved
freely at night between stubble and raked plots. No breeding occurred in raked plots, which had
43 plants/m2, but large numbers of larvae bred in stubble plots (Figure 1) which had three plants/m 2.
In experiment B, very high rates of chemical were applied to kill most of the larvae. In the sprayed
treatment in July there were 44 plants/m2 and the yield was 2.83 t/ha. The unsprayed treatment was
significantly different with eight plants/m2 (P < 0.001) and a yield of 0.64 t/ha (P < 0.01).
-57-
Figure 1.
Number of bronzed field beetle larvae in stubble and raked treatments, Kendenup.
1600
Larvae
(stubble)
Larvae
(raked)
No. larvae/m
2
1200
800
400
0
21-Mar
10-May
29-Jun
18-Aug
7-Oct
The level of control was not high in the third experiment despite the three night sprays (Figure 2).
Figure 2.
Number of bronzed field beetle larvae following sprays at South Stirling.
Night Sprays
Unsprayed
600
200 mL/ha Fastac
400 mL/ha Fastac
500
No. larvae/m
2
100 mL/ha Regent
400
300
200
100
0
19-May
18-Jun
18-Jul
17-Aug
Seed dressings are used against other false wireworms and showed promise against this pest when
used in pot trials but provided very poor control in the field. The larvae live under trash but above the
soil and do not require living plant material. The chemical on the seed is therefore insufficient to gain
control of this species. Control of adults with baits or sprays prior to seeding have been unsuccessful.
CONCLUSIONS
High-risk situations for this pest include abundant surface plant material, minimal disturbance and
some early moisture, which allows larvae to grow to damaging sizes before seeding. Fewer than 13
adults/m2 may lead to economic damage in these situations, but chemicals are not highly effective.
ACKNOWLEDGMENTS
Much thanks to Tony Dore for his invaluable help. This project was partly funded by GRDC.
GRDC Project No.:
DAW612
Paper reviewed by:
Dr S. Peltzer
-58-
DBM control in canola: Aerial versus boom
application
Paul Carmody, Department of Agriculture, Northam
KEY MESSAGE
•
Boom spray achieves the best initial knockdown of DBM numbers compared to either EC or
ULV aerial application; there is no advantage in doubling insecticide rates in the boom
•
Both ULV and EC aerial formulations gave a similar initial reduction in DBM numbers but EC
had more impact on large and medium size grubs.
INTRODUCTION
Diamondback Moth (DBM), Plutella xylostella (DBM), is a major pest of brassica crops throughout the
world, including Australia. In 2001 DBM were found in damaging numbers throughout canola crops in
much of the Northern and Central Agricultural Region of Western Australia. Spray application
technology is an issue as DBM over large areas of canola required treatment. An evaluation of the
different types of aerial application (ULV and EC formulations of insecticide) was needed to improve
recommendations to Industry. Experiments conducted by Agriculture Western Australia found
differences in the effectiveness of different application techniques of insecticides to control DBM.
Ground spray rigs gave up to 50% better knockdown that EC aerial applications at water volumes of
35 L/hectare in preliminary trials in the Geraldton area in 2000.
AIM
To compare the efficacy aerial applications of EC and ULV formulations of insecticide (alphacypermethrin 100 g/L) with EC boom spray applications to control DBM in canola during the podding
stage.
METHOD
An opportunistic field trial was conducted on a very uniform commercial crop of Karoo infested with
DBM and located four km north of Meckering. The trial was set up on 12 October 2001 and tested
alpha-cypermethrin applied as: a) aerial spray @ 400 mL/ha (ULV formulation); b) aerial spray @
400 mL/ha with 35 L water/ha (EC formulation); c) boomspray @ 400 mL/ha in 100 L/ha water; or
d) boomspray @ 800 mL/ha in 100 L/ha water.
Each treatment was replicated three times. An initial population count was made the day before
spraying and on two occasions thereafter on 15 and 22 October 2001. Control (nil spray) plots were in
strips with 50 m borders for ULV and 100 m for EC, between treatments.
Sampling for DBM was done using standard sweep nets, five sweeps every two metres, five times per
plot. All counts reported are for 5 sweeps.
RESULTS
There were 180-200 grubs/10 sweeps on the day prior to spray application. One day after spray
application there were fewer grubs in all treatments compared to the Nil spray (Table 1).
-59-
Table 1.
Effect of alpha-cypermethrin applied by aerial and boomspray on numbers of DBM (mean/5
sweeps) 5 times per plot (n = 3)
Total grub numbers
Treatments
*
Day 1
% Reduction to control (Nil Boom)*
Day 4
Day 11
Day 1
Day 4
Day 11
Aerial ULV 400 mL
45
23
41
38%
57%
21%
Aerial EC 400 mL
48
27
28
34%
50%
46%
Nil Aerial
73
54
52
Boom 400 mL/ha
26
33
21
80%
62%
52%
Boom 800 mL/ha
13
33
18
89%
62%
59%
Nil Boom
125
87
43
Expressed against the mean counts for the Nil Boom (Nil B) plots.
The percentage reduction in DBM numbers the day after application, when compared to the Nil Boom,
shows that the efficiency of the knockdown of the boom treatments was more than double compared
to both aerial treatments. However by Day 11 the difference between the two treatments narrowed,
although the boom treatments still remained significantly ahead of both aerial treatments.
On day 1 there were significantly fewer grubs of all sizes in all treatments (p < 0.001) compared to Nil
Boom. Although there was no significant difference between the rates of chemical in the boom
treatments, insecticide applied by boomspray killed more grubs that the aerial treatments. By Day 4
there was no significant difference between all treatments (p = 0.144 for the log value) but there were
less large grubs in the boom treatment compared to the aerial treatments (p = 0.033). However, by
Day 11, with the exception of large grubs, there were significantly more grubs in the aerial treatments
than the boom treatments (p < 0.001), but no difference within the aerial treatments.
Table 2.
Results of statistical analysis on the log counts of DBM numbers for Day 1 only
Boom
800 mL
Boom
400 mL
Large (> 8 mm)
5.4
9.9
43.8
9.0
18.1
22.8
Medium (5-8 mm)
4.1
8.1
36.9
8.0
12.4
15.6
Small (2-5 mm)
2.5
4.3
33.1
9.8
6.8
11.4
Tiny (< 2 mm)
1.2
1.9
30.6
6.6
5.4
10.2
1.374
1.834
3.604
2.225
2.363
2.728
0.182
0.182
0.200
0.182
0.173
0.158
8.3
9.6
Treatment
Size
Nil B
EC
ULV
Nil A
DAY 1
Retr. count
Average log (count)
Standard error
Average
Retr. count
3.0
(Significance < 0.001)
A
5.3
Ab
-60-
35.7
E
Bc
c
14.3
d
Large grubs
Medium grubs
50.0
Boom 800 mL
40.0
Boom 400 mL
Co
unt 30.0
NilB
EC
20.0
ULV
10.0
NilA
0.0
0
5
10
40.0
35.0
30.0
Co 25.0
unt
20.0
15.0
10.0
5.0
0.0
15
Boom 800 mL
Boom 400 mL
NilB
EC
ULV
NilA
0
5
Day
10
15
Day
Tiny grubs
Small grubs
35.0
35.0
30.0
Boom 800 mL
30.0
Boom 800 mL
25.0
Co
unt 20.0
15.0
Boom 400 mL
25.0
Boom 400 mL
10.0
ULV
Co 20.0
un
t 15.0
10.0
5.0
NilA
5.0
NilB
EC
0.0
NilB
NilA
EC
ULV
0.0
0
5
10
15
0
Figure 1.
5
10
15
Day
Day
Effect of alpha-cypermethrin applied by aerial and boomspray on different DBM grub stages
(re-transformed means, log of counts) over time.
CONCLUSION
The boom spray applications gave the most effective instant knockdown of grub numbers compared to
aerial application (both ULV and EC formulations). The age structure of the control population (Nil B)
appeared to be relatively stable in terms of structure over the duration of the trial, which would indicate
ongoing favourable feeding conditions in the canola crop.
Nil B has a higher grub count than Nil A on Day 1 but the reverse was the case on Day 11. There is
the possibly of some spray drift affecting grub populations within the nil aerial plots over time and this
highlights the difficulty of doing aerial trials. There was no difference between treatments on Day 4,
possibly a result of rainfall on Day 3 which may have forced grubs into the crop canopy where they
could not be accessed by sweep net. By Day 11 all treatments had less large grubsthan Nil B.
Furthermore, there was no difference in grub numbers between aerial and boom treatments, but age
structure had altered, with fewer tiny and small grubs in the boom treatments. The EC and ULV aerial
applications could not be statistically compared but ULV appeared to have less initial impact on large
and medium size grubs than the EC application.
Special thanks to: Powell Aviation, Northam and Greg Morrell, Meckering for their patience and time
in conducting this trial, and to Christiaan Valentine for technical support, and to Françoise Berlandier.
GRDC Project No.:
GOP
Paper reviewed by:
Dave Eksteen and Françoise Berlandier
-61-
Effect of single or multiple spray treatments on the
control of Diamondback moth (Plutella xylostella)
and yield of canola at Wongan Hills
Françoise Berlandier, Paul Carmody and Christiaan Valentine, Department of
Agriculture, Western Australia
KEY MESSAGE
Applying sprays to control high levels of Diamondback moth increased canola yields by 0.35 t/ha. The
yield response to a single spray was the same as for two and three spray treatments.
BACKGROUND
Diamondback Moth (DBM), Plutella xylostella, is a pest of brassica crops. Immature DBM (grubs)
consume leaves, buds and flowers and in large numbers they can strip entire plants. In 2000 and
2001, large infestations of DBM caused severe damage to canola crops in the Northern Agricultural
Region of the Western Australian wheatbelt which resulted in significant yield losses. To determine
whether insecticidal sprays used to control DBM increase yield, a field trial was carried out at Wongan
Hills Research Station in 2001.
AIMS
1.
To determine the effect of single and multiple sprays on control of DBM on flowering and
podding canola at Wongan Hills.
2.
To determine effect of DBM control on oilseed production.
METHODS
Experiments were carried out in an existing canola (cv. Karoo) paddock at Wongan Hills Research
Station. The paddock was divided into plots measuring 20 m x 20 m and randomly assigned to one of
four spray treatments (Table 1) arranged in a completely randomised block design. There was a 20 m
wide buffer between blocks but no buffers within blocks. Treatments consisted of one-three
applications (Trts 2-4) of the synthetic pyrethroid alpha-cypermethrin (Dominex) at the registered
rate of 400 mL/ha (40 g active/ha), or were left unsprayed (Trt 1). Each treatment was replicated four
times. The first spray was applied on 21 September 2001 when plants were at the late flowering
stage. By 27 September 2001, 100% of plants had started to form pods and flowering was almost
complete.
Plots were first sampled for DBM grubs on 21 September 2001 and then at three-six day intervals
thereafter (24, 27 September 2001; 3, 5 October 2001). Samples were taken by sweeping plants in
each plot using a sweep net. When grub sampling and spraying fell on the same date, sampling was
done prior to spraying. Oilseed was machine harvested on 7 November 2001 after swathing. Oil
content was measured by infratec analysis. Data was analysed by analysis of variance (ANOVA)
using Genstat 5.
RESULTS
Insects
There was an average of 225 DBM grubs/10 sweeps when the first count was done (Figure 1), and
over 70% of grubs were 1st-2nd instar. Three days after the first spray was applied, numbers of DBM
grubs in all spray treatments had diminished, but there was little change in numbers in the nil spray
treatment. On 27 September 2001, six days after the first count, DBM numbers had escalated sharply
to a mean of 1,000 grubs/10 sweeps in the nil spray (Trt 1) and to a mean of 360 grubs/10 sweeps in
the single spray treatment (Trt 2). By the final count (5 October 2001), only 11% of the grubs were
1st-2nd instars.
-62-
Effect of alpha-cypermethrin on DBM in canola at Wongan Hills 2001
1200
Mean No. grubs/10 sweeps
1000
800
3rd of 3
sprays 28/9
2nd of 2
sprays 24/9
1st spray
21/9
600
400
200
5-Oct
3-Oct
1-Oct
29-Sep
27-Sep
25-Sep
23-Sep
21-Sep
19-Sep
17-Sep
0
Date
nil spr
Figure 1.
One-spr
Tw o-spr
Three-spr
Effect of nil, one, two or three spray treatments of alpha-cypermethrin on numbers of DBM
grubs/10 sweeps from canola at Wongan Hills in 2001.
Yields
Damage by DBM grubs significantly decreased oilseed yields (P = 0.049) (Table 1). Unsprayed
canola (Trt 1) produced a significantly lower yield (1.13 t/ha) than any of the sprayed treatments
(range of 1.38-1.48 t/ha; Table 1). Unsprayed canola lost 0.35 t/ha of oilseed, equivalent to $140/ha
(calculated at $400/t, average price for the 2001 harvest). Although spraying did increase overall
yield, there was no clear relationship between the number of spray treatments and yield (Table 1).
Spraying appeared to affect increase oil content, with a trend of higher oil content in the sprayed
treatments than in the nil spray treatment. However, this difference was not statistically significant at
5% when tested by ANOVA (P = 0.229).
Table 1.
Effect of different spray treatments on oilseed yields (t/ha) and oil content of canola cv. Karoo
Yield
(t/ha)
Treatment
Oil content
% as is
1.
Nil spray (Control)
1.13
36.20
2.
One spray applied on 21 September 2001
1.48
36.95
3.
Two sprays applied on 21 and 24 September 2001
1.40
38.13
4.
Three sprays applied on 21, 24 and 28 September 2001
1.38
37.58
F pr.
LSD (5%)
0.049
0.229
0.2523
1.983
CONCLUSIONS
Spraying to control DBM grubs with 400 mL/ha of alpha-cypermethrin (Dominex) in an advanced
canola crop (late flowering) was effective at reducing insect numbers and improved yields. Applying
one, two or three sprays all increased oilseed production over nil spray, but there was no significant
difference at 5% in oilseed yield between single and multiple spray treatments. Note that the label for
the product Fastac Duo (alpha-cypermethrin), under canola, states ‘Do not apply more than
400 mL/ha per season to any one crop’.
GRDC Project No.:
GOP
Paper reviewed by:
Sonya Broughton
-63-
GrainGuard - A biosecurity plan for the canola
industry
Greg Shea, Department of Agriculture
BACKGROUND
The West Australian grains industry is highly exposed to a number of biological threats including
incursions of exotic pests, the spread of endemic pests, the development of pesticide resistance and
problems associated with grain contamination.
The foundation of GrainGuard is the maintenance of a high level of bio-security beginning at the farm
level. Growers, agribusiness and others throughout the grain handling chain are encouraged to be
vigilant and report any unusual pest observations and seek identification of these pests or disorders by
Department of Agriculture specialists.
This Canola Industry Protection Plan developed under GrainGuard sets out how the Western
Australian Canola Industry, Agriculture Western Australia and the Agriculture Protection Board will
cooperate to assess and respond to new threats by appropriate prevention of entry, early detection
and prompt incident response actions.
The first step in developing the plan was to carry out threat identification and risk assessment.
THREAT IDENTIFICATION AND RISK ASSESSMENT
There are five categories of threats to the canola industry in Western Australia. These include insects,
diseases, weeds, animal pests, and chemical (residue) threats. Within each group there are many
potential threats. The serious threats have been identified through risk assessment and others may
be added as a continual watch is kept for development of canola industry threats throughout the world.
Key considerations
A threat’s entry, establishment and spread potential in Western Australia and its impact on costs of
production, productivity and market access?
What are the consequences?
How fast does the threat spread, what is its impact on productivity and market access and how difficult
is it to control?
By analysing this information, potential threats to canola industry businesses are allocated to one of
four Categories ranging from high probability of occurrence and high impact (Category A) to minor
impact (Category D). The following two tables summarise these Categories and the most serious
threats identified in Category A.
Table 1.
Category
A
Threat category of canola insects, diseases, weeds and animal pests exotic to Western
Australia
B
•
•
•
C
•
•
Characteristics
High probability of establishing in Western Australia.
Could spread throughout the State’s canola growing areas.
Has major trade implications and/or substantial long-term effects on productivity or the cost of
production.
Low probability of establishing in Western Australia.
Could spread throughout the State’s canola growing areas.
Has major trade implications and/or substantial long-term effects on productivity or the cost of
production.
Biological restrictions to spread within Western Australia.
Only moderate impact on long term productivity or the cost of production.
D
N
•
•
Minor impact on productivity or the cost of production.
Not yet assessed
•
•
•
-64-
Table 2.
Category ‘A’ exotic threats to WA’s canola industry
Common name
(Scientific name)
Threat type
Present in
Australia
(outside
WA)
Primary host
crop or weed
of
Alternate host
crop or weed of
Previously
eradicated
from WA
Verticillium wilt
(Verticillium dahliae var.
longisporum)
Fungal
pathogen
No
Canola
Cruciferous
plants
No
Seed pod weevil
(Ceutorhynchus assimilis)
Insect
No
Canola
Cruciferous
plants
No
Branched broomrape
(Orobanche ramosa)
Weed
Yes, South
Australia
Non cereal
crops
Oilseeds, pulses
and horticultural
crops
No
Additional to these diseases, weeds and pests, the Working Group has identified the contamination of
canola by rapeseed varieties which have high erucic acid and other undesirable characteristics as
another Category A threat.
A draft plan has been completed by the Working Group and has identified Quarantine, surveillance,
research/development management and communication activities that can be carried out by
government and industry.
-65-
Large canola seed is best, particularly for deep
sowing
Glen Riethmuller, Rafiul Alam, Greg Hamilton* and Jo Hawksley, Department of
Agriculture, Merredin, *Department of Agriculture, South Perth
KEY MESSAGE
Large canola seed (> 1.7 mm diameter) produced more plants, matured earlier and produced a higher
yield than small seed, particularly at deeper sowing depths.
BACKGROUND
Deeper than optimum seeding is often recommended as an option to provide soil moisture to the
germinating seed, particularly in moisture limited seeding situations. In the season 2000, large seed
(> 1.7 mm) improved canola establishment in four of five trials conducted in the sandplain farming
systems in Northern Agricultural Region. In the UK, large seed (> 2.0 mm) improved canola
establishment from seeding depth deeper than 3 cm. In Canada, seed larger than 2 mm is used to
reduce the effects of beetle damage. Hence, effect of seeding depth and seed size on canola
establishment needs to be investigated in different field planting situations.
AIMS
To measure the variation in seedling establishment, yield and seed quality at three sowing depths with
three seed sizes.
METHODS
New quality assured Karoo seed was obtained from Dovuro and graded on mesh sieves into sizes
greater than 1.7 mm, 1.4 to 1.7 mm and less than 1.4 mm of which the proportion was 82.2% (in 2000
this was 70.7%), 15.8% and 2.0% respectively and the seed weight was 3.67, 2.46 and 2.12 g/1000
respectively. Only 6.7% (5.46 g/1000) of this seed was above 2 mm in diameter.
Location:
Design:
Seeding date:
Seed rate:
Seeder:
Fertiliser:
Sprays:
Harvest date:
Merredin Research Station, paddock T1, yellow sandy loam
Randomised block with 4 replications
14 May 2001
160 seeds per square metre
5.87 kg/ha > 1.7 mm in diameter
3.94 kg/ha 1.4 to 1.7 mm in diameter
3.39 kg/ha < 1.4 mm in diameter
Air cone seeder, 6 rows at 250 mm spacing
Harrington knife 13 mm wide points
ARP 80 mm wide banked press wheels set at 2 kg/cm
None with the seed to avoid seed damage due to toxicity
29 May topdressed 88 kg/ha double super plus 33 kg/ha urea
19 July topdressed 99 kg/ha urea
9 February 01, 0.40 L/ha 2,4-D ester 800
9 February 01, 0.75 L/ha Roundup CT
24 April 01, 2.0 L/ha SpraySeed 250
24 July 01, 0.25 L/ha Select + 300 mL/ha Lontrel
plus 0.10 L/ha Dominex 100 (for locusts) + 2% oil plus 0.2% wetter
3 and 12 October 2001 misted with 400 mL/ha Fastac 100 for DBM
13 November 2001
RESULTS
The larger seed produced more plants than the smaller seed at the deeper sowing depths but was
similar at the shallow 1.5 cm sowing depth (Table 1). As expected, the plant number decreased with
increased sowing depth.
-66-
Table 1.
Plants/m2 with seed size and sowing depth measured on 11 June 2001
Sowing depth\
Seed size
4.5 cm
3.0 cm
1.5 cm
Average
> 1.7 mm
41.7
64.2
77.0
61.0
1.4-1.7 mm
26.6
43.2
73.3
47.7
< 1.4 mm
23.0
33.0
78.5
44.8
Average
30.5
46.8
76.3
51.2
F pr
LSD
Size
0.01
10.5
Depth
< 0.001
10.5
Size.Depth
0.17
ns
Coeff. of variation
24.3%
There were some locusts in the paddock but there was no evidence that any treatment had more
damage than any others. Also since the plant number was similar at the 1.5 cm depth, this suggests
the locusts did not target the smaller seed size treatments.
At the Merredin Research Station Field Day on 27 September it was clear that the small seed
treatments were less advanced since they were still flowering where the largest seed treatments had
finished flowering.
The yield increased with increasing seed size and the 4.5 cm sowing depth was lower yielding than
the 1.5 or 3.0 cm sowing depth (Table 2).
Table 2.
Karoo yield (kg/ha) with seed size and sowing depth
Sowing depth
\Seed size
4.5 cm
3.0 cm
1.5 cm
Average
> 1.7 mm
983
1172
1093
1083
1.4-1.7 mm
727
973
852
851
< 1.4 mm
532
777
818
709
Average
747
974
921
881
F pr
LSD
Size
< 0.001
103.5
103.5
Depth
< 0.001
Size.Depth
0.54
Coeff. of variation
13.9%
ns
The oil content increased with increasing sowing depth (37.7-38.5%). The lower oil content of the
1.5 cm depth treatments may be due to their later maturity. There was no effect of seed size or
sowing depth on seed protein (average 25.2%). The smallest seed (< 1.4 mm) had a higher admixture
(1.63%) than the other seed sizes (average 1.15%) and there was no effect of sowing depth. The
larger seed matured earlier than the smaller seed, which was reflected in the larger seed having lower
seed moisture (5.2% vs 6.0%).
CONCLUSIONS
The larger seed produced more plants, matured earlier and produced a higher yield than small seed,
particularly at the deeper sowing depth of 4.5 cm. This work needs to be repeated on lighter soils and
possibly with seed larger than say, 1.8 mm in diameter.
The implication for farmers is that if they are going to keep seed, it should be graded heavily.
Importantly, the seed should be germination tested to be sure the seed is worth sowing.
GRDC Project No.:
DAW 625
Paper reviewed by:
Paul Carmody
-67-
Canola establishment with seed size, tines and
discs, with and without stubble
Glen Riethmuller*, Rafiul Alam**, Greg Hamilton*** and Jo Hawksley*,
Department of Agriculture, *Merredin, **formally Merredin, ***South Perth
KEY MESSAGES
Large Karoo canola seed (greater than 1.7 mm in diameter) increased establishment by 9.7% and
yield by 6.9% (0.07 t/ha) at Mingenew but there was no significant effect on establishment or yield at
Coorow.
Seeding systems had an effect on establishment and yield but no clear trend was identified, which
may have been due to the relatively good soil moisture conditions at sowing.
Stubble burning improved the canola yield at Mingenew with no effect on establishment (burning
reduced self-sown wheat) but there was no effect of stubble on yield at Coorow.
BACKGROUND
Low plant density and/or uneven plant density and size, have been recorded in 98% of the canola
paddocks in crop establishment surveys during 2000 in the Northern and Central Agricultural Regions.
At seeding, some seeds may fall in too deep and some may be trapped at shallower depths or on the
soil surface depending on previous crop residues, furrow opener, seed covering device, seed-bed
conditions, sowing methods and seed size used.
AIMS
To investigate the effect of seeding technique and seed size on canola establishment and yield with
and without the previous wheat crop stubble at two locations in the Northern Agricultural Region.
METHODS
Experiment details
01GE84
01GE85
Property
Gary Cosgrove, Mingenew
Mike Bothe, Coorow
Plot size and
replication
20 m x 2.0 m
4 replicates
20 m x 2.0 m
4 replicates
Soil type
Pale yellow loamy sand
Yellow loamy sand
Sowing date
8 May 2001
10 May 2001
seeds/m2
Seeding rate
Ungraded 4.6 kg/ha, 160
Graded 5.9 kg/ha, 160 seeds/m2
Ungraded 4.6 kg/ha, 160 seeds/m2
Graded 5.9 kg/ha, 160 seeds/m2
Fertiliser
Agrich 50 kg/ha banded below seed
Urea 60 kg/ha topdressed after seeding
15 June 2001, 120 kg/ha Sulphate of
Ammonia topdressed
19 July 85 kg/ha Urea topdressed
Agrich 50 kg/ha banded below seed
Urea 60 kg/ha topdressed after seeding
15 June 2001, 120 kg/ha Sulphate of
Ammonia topdressed
19 July 85 kg/ha Urea topdressed
Paddock history
2000 - Wheat
2000 - Wheat
Herbicides
7 June 2001, 2 L/ha Atrazine
15 June 2001, 250 mL/ha Select + Hasten
7 June 2001, 2 L/ha Atrazine
15 June 2001, 250 mL/ha Select + Hasten
New quality assured Karoo seed was obtained from Dovuro and graded on a 1.7 mm mesh sieve into
two sizes, greater than 1.7 mm (82.2% of the seed, in 2000 this was 70.7%) and ungraded and the
seed weight was 3.67 and 2.88 g/1000 respectively. The air cone seeder sowed 6 rows at 250 mm
using: Harrington 13 mm wide knife points, 50 mm wide SuperSeeder points, 180 mm wide full cut
points with Loxton rotary harrows or Walker triple discs. ARP 80 mm wide banked and 50 mm wide
flat press wheels were set at 2 kg/cm width. Seed pressing was done with the 80 mm wide press
wheel and a following Janke finger tine attached to the press wheel frame covered the seed with loose
soil.
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RESULTS
Both experiments established well with most treatments in the range of 60 to 90 plants/m 2. Burning
stubble improved the canola yield by 19.6% at Mingenew with no effect on establishment (Table 1).
Part of this yield response may have been due to less self sown wheat from the burning process. Also
soil moisture at seeding (0-5 cm) averaged 5.8% on the burnt treatments and 3.6% on the retained
stubble treatments. This may have been due to light falls of rain being held up in the stubble and dried
out before reaching the soil. There were 11% more plants established in the stubble than the burnt
treatments at Coorow but there was no effect of stubble on yield. At Coorow, treatment 2 and 4 had a
higher establishment than the other treatments. The triple disc was lower establishing than all but the
full cut at Mingenew.
Table 1.
Canola yield (kg/ha) with stubble, seed size and seeding technique
Seed size
Mingenew
Seeding technique
Coorow
Graded
Ungraded
Graded
Ungraded
1. Full Cut, Loxton rotary harrow
1251
1062
1049
1072
2. Knife, 50 mm press wheels (pw)
1176
1043
965
1058
3. Knife, 80 mm press wheels
1162
878
983
960
4. Knife, seed press, finger harrow
1166
997
993
1106
5. SuperSeeder, 80 mm pw
1032
956
976
1029
6. Walker triple disc
1244
1153
1097
1179
1172
1015
1010
1051
1. Full Cut, Loxton rotary harrow
995
989
983
993
2. Knife, 50 mm press wheels
955
1004
1010
1131
3. Knife, 80 mm press wheels
877
843
1057
1030
4. Knife, seed press, finger harrow
898
966
1094
1039
5. SuperSeeder, 80 mm pw
854
854
1049
916
6. Walker triple disc
835
892
1163
1080
Stubble burnt
Average
Stubble retained
903
925
1059
1032
Overall Average
Average
1037
970
1035
1041
LSD stubble (p < 0.05)
87.9%
ns
LSD seeding technique (p < 0.05)
77.3%
62.6%
LSD seed size (p < 0.05)
55.8%
ns
Coefficient of Variation
13.4%
10.5%
At Mingenew there was no significant yield difference (p < 0.05) between the triple disc, full cut plus
rotary harrow, knife points and 50 mm press wheels or the seed pressing technique. Knife points plus
80 mm press wheels and the SuperSeeder points plus 80 mm press wheels gave lower yields. At
Coorow, the only significant yield result was the triple disc yielded higher than all the other seeding
techniques except for the seed pressing technique with finger tines.
The larger graded seed averaged 6.9% (0.07 t/ha) higher yielding at Mingenew compared to the
ungraded seed but there was no significant effect on establishment or yield at Coorow.
CONCLUSIONS
The large seed was again important in 2001, which was also found in 2000. Sowing canola into
stubble in the Northern Agricultural Region may not be a great problem provided many weed or wheat
seeds are not present. Seeding machinery was not particularly important this season which might
have been due to the relatively good soil moisture conditions at sowing. It was interesting that the
triple disc had the lowest establishment at Mingenew but had the highest yield at Coorow.
GRDC Project No.:
DAW 625
Paper reviewed by:
David Eksteen
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Role for Roundup Ready® canola in the farming
system
Art Diggle1, Patrick Smith2, Paul Neve3, Felicity Flugge4, Amir Abadi5, Stephen
Powles3
1Western Australian Department of Agriculture, 3 Baron-Hay Court, South Perth WA
6151
2CSIRO, Sustainable Ecosystems, Floreat WA 6014
3Western Australian Herbicide Resistance Initiative, University of Western Australia,
Crawley WA 6009
4Centre for Legumes in Mediterranean Agriculture, University of Western Australia,
Crawley WA 6009
5Touchstone Consulting, PO Box 375, Mt Hawthorn WA 6016
KEY MESSAGE
•
Use of Roundup Ready (RR) canola in crop rotations in conditions similar to Wongan Hills WA
would be likely to produce similar or slightly higher returns in early years but would be likely to
produce somewhat lower returns in later years
•
Control of established wild radish by glyphosate in crop is expected to be incomplete. This
factor has an impact on the estimated value of RR canola in this case but would not be a factor
where wild radish is not present
BACKGROUND
Roundup Ready canola is a genetically modified crop. For this reason there are several
considerations in relation to its desirability that are peculiar to genetically modified organisms.
However the analysis reported here concentrates only on agronomic considerations that are common
to all herbicide resistant crops. This analysis is part of a more comprehensive risk assessment and
optimal management plan for genetically modified herbicide resistant crops. A report on the complete
analysis will be produced and widely circulated later this year and will include an assessment of
factors peculiar to GM crops. The assumptions used in this analysis are still under review and may
change before the final report is complete. Some of the GM specific factors are listed below but are
not quantified.
Factors considered here
In this analysis the net returns from a Roundup Ready canola rotation are compared to the returns
from a triazine tolerant (TT) canola rotation. In both cases the rotation is wheat, lupin, wheat, canola.
Genes for triazine resistance carry a yield penalty, so RR canola is presumed to have a yield
advantage in the order of 6%.
All herbicide resistant crops will change the rate that herbicide resistance develops in weeds. Use of
glyphosate on RR canola will increase the rate of development of glyphosate resistance in the weed
populations. Similarly use of triazines on TT canola will increase the rate of development of triazine
resistance in the weeds. Herbicide resistance reduces returns to the farmer through both reduced
yields and increased costs of weed control by alternative methods. The weeds being considered in
this analysis are ryegrass and wild radish, and development of glyphosate resistance and triazine
resistance has been calculated for both species.
Different farmers will get different results from RR canola, and different paddocks on the same farm
will behave differently. In this analysis we have attempted to account for the range of diversity that
exists. Some factors that have been considered are:
•
Different seasons - seasonal variability in crop yield and competitiveness has been
represented here using output from the APSIM crop growth model run for 40 historical seasons
at Wongan Hills WA for all crops grown both in monoculture and in competition with weeds.
-70-
•
Different starting weed populations - initial ryegrass populations have been assumed to vary
between 0 and 3000 seeds/m2 with 1000 seeds/m2 being most likely. For wild radish minimum,
most likely and maximum populations are 0, 50 and 500 plants/m 2 respectively.
•
Different sowing rates - minimum, most likely, and maximum crop densities have been
presumed to be 100, 175, and 300 plants/m2 for wheat; 40, 60 and 90 for lupin; and 40, 50 and
70 for canola.
•
Different initial frequency of resistance genes - initial frequencies of Roundup resistance genes
have been presumed to vary between 10-9 and 10-5 for both ryegrass and wild radish, and
between 10-7 and 10-3 for triazine resistance genes both ryegrass and wild radish.
•
For both rotations additional weed control in the form of higher seeding rates, use of 2,4-D in
wheat, crop topping with paraquat in lupins, and seed catching is employed where weed
populations exceed nominated thresholds.
Factors that are not considered here
•
Genes from genetically modified canola crops can be transferred to non-GM canola crops
through movement of pollen between crops and through survival of GM volunteers in later
crops. Contamination of non-GM canola with GM genes may have economic significance.
•
Canola with several stacked resistance types may be produced and may be difficult to control.
•
Canola and wild radish have been shown to produce small numbers of hybrids in the field.
These hybrids will have any herbicide resistance genes that are present in the canola parent
and may become weeds in their own right.
•
There may be a price premium in some markets for canola that can be certified to be non-GM.
Australian canola currently has this status. If GM canola is released there will be an increased
cost of identity preservation for non-GM canola.
RESULTS AND DISCUSSION
The herbicides used in TT canola are considerably more expensive than those that would be used on
RR canola (Table 1). However there is expected to be an as yet undisclosed technology cost for use
of RR canola.
Table 1.
Comparison of herbicide costs for TT canola and RR canola
Cost ($/ha) *
Rate
(L/ha)
TT canola
RR canola
Glyphosate (knockdown)
1.0
11.00
11.00
Simazine (pre-emergent)
2.0
14.50
Simazine (post-emergent)
1.0
8.50
Select (Clethodim) (post-emergent)
0.15
25.50
Glyphosate (post-emergent)
1.0
Herbicide
11.00
TOTAL
59.50
22.00
Cost of herbicide includes a $2.50/ha cost of application (excluding Select, which is assumed to be
applied with the simazine post-emergent application).
Net returns decline somewhat through time for both rotations. This decline occurs primarily because
of increasing herbicide resistance, requiring the use of additional weed control techniques and hence
leading to additional costs. The RR canola has similar or slightly higher returns in the early years of
the rotation but declines more rapidly. A technology cost for RR canola is not included. If, for
example, this cost was to be $20/ha, the average net returns for RR canola would be reduced by
$5.00 each year as canola is only planted one year in 4.
A factor that is not apparent from this figure is that ryegrass is problematic in the TT rotation, while wild
radish is more of a problem in the RR rotation. This result stems from the assumption made here that
control of established wild radish is less complete for glyphosate than for triazine. This assumption
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has yet to be comprehensively tested in crop as the test can only be done in RR crops. It is likely that
the returns from RR canola would be higher where wild radish was not present.
Figure 1.
Average net return discounted (5% pa) and not discounted over 30 years for the 4 phases of a
WLWC rotation (mean of 2048 simulation runs).
GRDC Project No.:
UWA 355
Paper reviewed by:
P. Smith
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Getting value from canola meals in the animal feed
industries: Aquaculture
Brett Glencross and John Curnow, Department of Fisheries - Government of
Western Australia and Wayne Hawkins, Department of Agriculture
INTRODUCTION
Fishmeal replacement in fish diets
Of all animal production industries, none has equalled the growth rate experienced by that of
aquaculture over the past ten years. While this boom in fish production bodes well for those who want
to keep eating fish, it has begun to present problems in that we are now asking, what do we feed the
fish to keep this industry growth going? World supplies of fishmeals and oils are already static in
supply, so any increase in feed production for the aquaculture industry must necessarily come from
elsewhere to provide the necessary protein for these animals.
Canola meals were first identified in the 1980s as having some potential as a useful feed ingredient in
the diets of fish. More recently it was identified that protein concentrates made from these meals had
more value to fish than the meals. Despite this progression, surprisingly little is known about the
differences in nutritional value of the raw meals produced from different oil extraction methods, such
as expeller and solvent extraction.
ASSESSING NUTRITIONAL VALUE
Protein content and composition
As nutritionists, we tend not to look for the ‘perfect’ single ingredient from which to make diets, but
rather a suite of high quality, complimentary ingredients of consistent composition from which
formulations can be tailored to suit the varying dietary requirements of specific species. In this sense,
canola meal has the potential to be a good ingredient for use in aquaculture diets. Critical to their
value is the overall protein and energy content of the meal. More specifically though, the amount of
digestible protein and energy in the meal. Notably, the composition of canola meals produced by
different methods has different amounts of protein and energy (Table 1). This is likely to influence the
nutritional value of these meals to animals.
Table 1.
Composition of fishmeal, canola meals and the protein concentrate used in the study
Fishmeal
Expeller
canola meal
Solventextracted canola
meal
Dry matter content (g/kg)
925
898
962
483
Crude protein (g/kg DM)
703
381
431
483
73
136
22
33
Nutrient
Crude fat (g/kg DM)
Ash (g/kg DM)
Canola protein
concentrate
216
66
86
59
8
418
461
425
Phosphorus (g/kg DM)
40
24
23
36
Gross energy (MJ/kg DM)
19.6
23.1
19.6
22.1
36.6
n/a
Carbohydrates (g/kg DM)
Phytate (g/kg DM)
0
Glucosinolates (mol/kg DM)
0
25.6
3620
1100
n/a
n/a Not assessed.
DM Dry matter.
Nutritional utilisation of canola meals by fish
Typically the digestible or useable protein and energy is determined by including the canola meal in a
diet, usually at 30% of the total diet content, which also includes an indigestible marker. The
concentration of this marker is then compared between the feed and the faeces, along with any
-73-
changes in protein and energy content, thereby allowing the calculation of the relative degree of loss
of protein and energy and as such the level of protein and energy digestion and absorption.
Recent work at Fremantle has evaluated the nutritional value of solvent-extracted and expeller
extracted canola meals when fed to red seabream/pink snapper (Pagrus auratus). Also evaluated
were the effects of heat damage on the value of expeller extracted canola meal, the potential for
supplementary enzymes to improve the value of canola meals and also the value of a protein
concentrate made from canola meal. The nutritional value of these canola meals was also compared
against that of a high protein (48%) solvent extracted soyabean meal, the key competitor for all
Australian plant protein meals in the worldwide feeds market.
Table 2.
Digestibility of protein and energy from each of the test treatment ingredients
Solvent
extract
Expeller
extract
Expeller
120ºC
Expeller
150ºC
Phytase
Soybean
CPC
Energy
46.1b
62.1 a
34.3 c
27.4 d
61.1 a
59.2 a
64.9 a
Protein
82.1b
89.2 ab
61.4 c
37.4 d
97.3 a
79.4 b
74.4 b
Different superscripts, within the same row, denote a significant difference. CPC: Canola Protein
Concentrate
Assessment of the apparent nutrient digestibilities of each of the canola meals clearly supported that
they have excellent protein qualities, highly suitable for use in aquaculture diets. Protein digestibilities
of both expeller and solvent-extracted meals were at least equal to that of solvent extracted soyabean
meal. The highest protein digestibility was that of the expeller-extracted meal supplemented with the
enzyme Phytase, though this was not a significant improvement (Table 2). Energy digestibilities of the
canola meals differed, with the solvent-extracted canola meal having less digestible energy than the
expeller-extracted meal. This is primarily a result of the difference in amount of fat in the two meals
(Table 1). Increasing heat damage of canola protein has very significant negative effects. Declines in
both protein and energy digestibility of the expeller-extracted meal was observed with an increase in
heat exposure (30 minutes) temperature. The other treatments were prepared with temperatures of
90ºC and less. Qualities of the CPC are also very encouraging.
A second important finding of this study was the lack of significant aberrations in the levels of blood
thyroid hormones and also that no reductions in feed intake were observed with the inclusion of canola
meals in the fish diets (Table 3). This finding is different from that reported by the Canadians and
Europeans when they feed canola/rapeseed meals to fish. It is not yet known whether this difference
is a function of different fish species, or that Australian canola meals don’t have the same level of
problems with glucosinolate breakdown products in the meal as the Canadian and European varieties.
Table 3.
Feed intake of the treatment diets and blood thyroid hormone levels at the end of the study
Feed intake
(g/fish/d)
Tri-iodothyronine
(T3)
Thyroxine
(T4)
Reference diet
1.05 b
12.2 ± 1.8 a
36.1 ± 10.6 a
Solvent extracted
1.11 ab
12.0 ± 1.4 a
21.4 ± 1.7 a
Expeller extracted
1.20 ab
13.1 ± 1.3 a
27.2 ± 1.5 a
120ºC Heated
1.20 ab
12.1 ± 1.2 a
28.8 ± 3.3 a
150ºC Heated
1.16 ab
10.9 ±
1.7 a
25.3 ± 4.5 a
Phytase
1.24 a
10.5 ± 1.4 a
23.0 ± 5.2 a
Soybean reference
1.15 ab
13.2 ± 1.4 a
42.8 ± 10.7 a
Protein Concentrate
1.22 a
0.6 a
23.9 ± 5.4 a
Treatment
GRDC Project No.:
FWA001
Paper reviewed by:
Sofie Sipsas
12.0 ±
-74-