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1988
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6 pages
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This paper presents the report of a committee of the American Association of Bovine Practitioners recommending methods for calculating several basic indices of reproductive performance on dairy farms. Indices for several major analytic areas are presented: overall reproductive performance, estrus detection intensity, conception efficiency, pregnancy losses, reproductive culling, and also reproductive efficiency in herds using a bull.
Journal of Dairy Science, 1990
This paper presents the report of a committee of the American Association CALCULATING REPRODUCTIVE INDICES 79 of Bovine Practitioners recommending methods for calculating several basic indices of reproductive performance on dairy farms. Indices presented are: overall reproductive performance, intensity of estrus detection, conception efficiency, pregnancy losses. reproductive culling, and reproductive efficiency in herds using a bull. Data from a hypothetical dairy herd are provided and example indices are calculated.
2015
The routine monitoring of the efficiency of reproductive programs is necessary in large-scale dairy herds in the 21 st century. The importance of the economic evaluation of these programs is increasing, as well, since many thousands of euros are spent on reproductive management on a farm. However, different interpretations of reproductive indices cause difficulties among professionals when comparing the parameters of their farms to that of another dairy. Last, but not the least, proper and uniform interpretation of these parameters is a prerequisite in performing correct economic evaluations. Some indices (e.g. calving interval) are classically used for monitoring some aspects of cows' fertility, however they are less adequate to evaluate the reproductive performance of a farm as a whole. Moreover, variations can be observed in the calculation approaches of certain reproductive parameters among herds, and the figures may be further biased due to the exclusion of some group of animals or the use of a hormonal synchronization program. In this study, the authors present the main reproductive indices from a practical point of view and a more comprehensive way of calculating the indices is shown. The advantages and disadvantages of each parameter are also discussed. Special attention is paid to the possible errors which may lead to the miscalculation and misinterpretation of the parameters.
Current Therapy in Large Animal Theriogenology, 2007
Theriogenology, 1999
The aim of this work was to study a new mathematical model based on dynamic indexes designed to evaluate reproductive efficiency in dairy herds and to correlate the new index with the body condition score (BCS) in order to evaluate the reproductive state of the cows post pat-turn. Four groups of dairy cows were used: 1) loose-housed Italian Friesian (loose Friesian, n= 190); 2) stanchioned Italian Friesian (stanchioned Friesian, n=121); 3) stanchioned Italian Simmental (stanchioned Simmental, n=120); and 4) loose-housed selected Italian Friesian cows (BCS test, n=l17). The first 3 herds were used to develop the new mathematical model while the fourth was used to correlate the method with the BCS. The new model was developed from the analysis of progesterone (P4) concentrations in whey and the frequency distribution of the cows in 3 reproductive states: cyclic@, acyclic&y and pregnancy. The frequency distribution generated 3 curves, the intersections of which form a closed area. The barycenter of this closed area gives a simple static representation of the reproductive efficiency of each herd. We also studied the movement of the batycenter with time (dynamic index) for each reproductive status curve. The dynamic index allowed for evaluation of the reproductive efficiency of a group of cows at 40 d after calving, by analyzing the evolution of the different reproductive states post partum. A reproductive index called Cycle Time was characterized in a 240-d period of observation as the interval needed to bring all the animals from acyclic to pregnant status. The loose Friesian cows had the best reproductive efficiency. The BCS test was used to divide cows into 3 groups depending on the percentage loss of BCS due to the negative energy balance at 30 d post partum. Cows which lost more than 20% in BCS had the lowest reproductive efficiency. The following protocol was devised to monitor herds in order to identify cows that were likely to have reproductive problems: 1) measure BCS 10 d before calving; 2) monitor progesterone in whey starting 5 d after calving; 3) measure BCS 30 d after calving; 4) isolate cows that lost more than 20% of BCS; 5) measure progesterone only in the cows that lose more than 20% of BCS; 6) activate appropriate feeding strategies to help prevent excessive mobilization of body fat reserves. 0 1999 by Elssvier Science Inc.
The role of management functions in successful enterprise performance, 2016
The aim of this study is to assess the average values of the most commonly used reproductive indices, to introduce more recent parameters for measuring reproductive performance and to suggest reference values for the latter, based on a survey carried out in Hungary. Data were collected from February to May 2015, and altogether 12,723 cows were included from 21 herds in six counties. Average values of the conventional indices were: SP: 160 days, SPC: 4.27 and CR1: 22%. The SP, SPC and CR1 were much poorer than the former reference values even in the best herds. It was proven that PR is suitable for a quick review of the reproductive performance; therefore this parameter is advised for routine use in dairies. In this study, cPR was introduced as a novel parameter that is destined for overcoming inaccuracies stemming from Hungarian culling policy. Suggested reference values of the more recent parameters are: PR: 9.4%, cPR: 18%. %PORP is preferable to %Preg, since it applies only to the reproductive proportion of the herd, and its value is not influenced by the seasonal changes (calving, culling) to such a great extent and for such a long time. The use of some relevant parameters (PR, cPR, CR1, SP, %PORP) is enough for the daily routine, but in-depth analysis is required when the reproductive performance is diminishing.
Journal of Dairy Science, 2006
A survey regarding general management, sire selection, reproductive management, inseminator training and technique, heat abatement, body condition scoring, facility design and grouping, nutrition, employee training and management, and animal health and biosecurity was carried out from March to September of 2004 in 153 herds in the Alta Genetics (Watertown, WI) Advantage Progeny Testing Program. A total of 103 herds (67.3%) completed the survey. Herd size was 613 ± 46 cows, with herds located in Wisconsin (26), California (12), New York (11), Minnesota (10), Michigan (7), Washington (6), Pennsylvania (6), Iowa (5), Idaho (5), Texas (4), Ohio (4), and other states . These farms sold 34.5 ± 0.3 kg of milk/d per cow, with an annual culling rate of 34 ± 1% and a calving interval of 13.8 ± 0.1 mo. Cows were observed for estrus 2.8 ± 0.3 times/d, for a duration of 27 ± 4 min, but 78% of the respondents admitted that detection of estrus was not the employee's sole responsibility at that time. Managers tried to achieve pregnancy until 8.8 ± 0.9 failed inseminations, 300 ± 26 d postpartum, or milk yield <17.7 ± 0.5 kg/d. Nonpregnant cows were culled at 326 ± 36 d postpartum or milk yield <16.4 ± 0.3 kg/ d. Mean durations of the voluntary waiting period were 52 ± 1.3 and 53 ± 1.4 d for primiparous and multiparous cows, respectively. Hormonal synchronization or timed artificial insemination programs were used in 87% of the herds, with 86% synchronizing first services, 77% resynchronizing repeat services, and 59% treating cystic, anestrous, or anovular cows. Finding good employees was identified as the greatest labor challenge, followed by training and supervising employees. Mastitis and hairy heel warts were noted as the greatest animal health concerns, followed by lameness, abortions, and death losses, whereas the greatest reproductive challenges were artificial insemination service rate, con-4723 ception rate, twinning, and retained placenta or metritis. Results of this study can provide a useful benchmark or reference with regard to commonly used management practices on large commercial US dairy farms at the present time.
Journal of Reproduction and Development, 2006
Internationally, reproductive performance of dairy cattle is declining. Under the low production, pasture-based and seasonal calving system used in New Zealand, reproductive performance is also declining, but remains higher than for many other industries. The seasonal calving system requires a high level of reproductive performance to ensure a 365 day inter-calving interval. About 80% of cows are detected in oestrus and inseminated in the first 3 weeks of the seasonal breeding programme and have a conception rate of 55% to 65% to this first insemination. This results in ~75% and ~90% of cows being pregnant by 6 weeks and by the end of the breeding programme, respectively. However, reproductive performance is declining due to multiple factors including increasing herd size, reduced oestrus detection sensitivity and specificity, declining body condition score at calving and increased rate of body condition score loss postpartum. Continuing selection for increased milk production is also having negative effects on reproduction. The mechanisms by which high production and negative energy balance are reducing reproductive performance are becoming better understood. However, practical solutions for the problem are challenging for veterinarians and consultants, especially given the consumer preference for less interventions.
Animal Reproduction Science, 2000
The objectives of this presentation are to review results of our previous and on-going research with respect to the risk factors and consequences of poor reproductive performance in dairy cows, and to develop an economic framework to optimize decisions related to dairy cow reproductive performance. To make profitable breeding and replacement decisions, the farmer must account for factors including age, production level, lactation stage, pregnancy status, and disease history of the cows in the herd. Establishing the interrelationships among disease, milk yield, reproduction, and herd management is necessary for developing a decision model for disease treatment, insemination, and replacement.
2019
Poor estrus expression is one of the major reasons of reproductive inefficiency on large dairy farms. Farm managers usually try to overcome this difficulty by using various estrus detection aids (e.g. pedometers, accelerometers, tail chalk), however, each method has its own limitations. Estrus detection aids generally lead to increased heat detection rate, better timing of inseminations relative to the time of ovulation, and ultimately, improved pregnancy rate. Some studies, however, did not find any benefit from the use of estrus detection aids, which is explained by (1) using the same rules on when to start inseminating heifers and cows as prior to the introduction of the new technology, and (2) by the widespread use of hormonal synchronization protocols that can potentially mask the effect of estrus detection aids. Economic outcome of the investment into estrus detection aids depends on the circumstances of the farm, although the reduction of labour cost can usually be expected. Despite efforts made towards the development of new estrus detection technologies, due to the high prevalence of anovular cows hormonal protocols are still required.
Veterinary Medicine International
Background. The production of milk and dairy products and their placement on the market represent a constant profit for the farmers/producers in Bosnia and Herzegovina (BH). The profitable operation of the dairy farms is influenced by the reproductive performance of the lactating animals. This study assessed individual animal reproductive characteristics in selected dairy farms and described their reproductive performance indicators. Results. The median age at first insemination was 493 days (5th–95th percentile range 429–840), while the age at first calving was 802 days (5th–95th percentile range 708–1168). The median pregnancy proportion at first insemination was 40% (5th–95th percentile range 17–62), while the cumulative pregnancy rate calculated at day-60, day-80, day-100, and day-120 showed that approximately 64% of all pregnancies happened before day-120. The calculated interservice intervals showed that approximately 69% of the repeat breeding animals came back to the oestrus...
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