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Factors associated with the weight of individual primal cuts and their inter-relationship in cattle.与牛个体原切肉块重量相关的因素及其相互关系
Transl Anim Sci. 2019 Oct 10;3(4):1593-1605. doi: 10.1093/tas/txz134. eCollection 2019 Jul.
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Using the difference in actual and expected calf liveweight relative to its dam liveweight as a statistic for interherd and intraherd benchmarking and genetic evaluations1.利用实际和预期的犊牛活重与其母畜活重之间的差异作为 herd 间和 herd 内基准测试和遗传评估的统计数据 1。
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How herd best linear unbiased estimates affect the progress achievable from gains in additive and nonadditive genetic merit.群体内最佳线性无偏预测值如何影响由加性和非加性遗传进展获得的进展。
J Dairy Sci. 2019 Jun;102(6):5295-5304. doi: 10.3168/jds.2018-16119. Epub 2019 Apr 10.
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Dressing percentage and the differential between live weight and carcass weight in cattle are influenced by both genetic and non-genetic factors1.牛的穿衣百分比和活重与胴体重之间的差异受遗传和非遗传因素的影响 1。
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6
Associations between strain, herd size, age at first calving, culling reason and lifetime performance characteristics in Holstein-Friesian cows.荷斯坦-弗里生奶牛的品系、牛群规模、头胎产犊年龄、淘汰原因与终生生产性能特征之间的关联。
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Genetic analysis of carcass traits in beef cattle using random regression models.利用随机回归模型对肉牛胴体性状进行遗传分析。
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8
Genetic differences based on a beef terminal index are reflected in future phenotypic performance differences in commercial beef cattle.基于肉牛终端指数的基因差异反映在商品肉牛未来的表型性能差异上。
Animal. 2016 May;10(5):736-45. doi: 10.1017/S1751731115002827. Epub 2016 Jan 6.
9
Development of an index to rank dairy females on expected lifetime profit.制定一个根据预期终身利润对奶牛进行排名的指数。
J Dairy Sci. 2015 Jun;98(6):4225-39. doi: 10.3168/jds.2014-9073. Epub 2015 Mar 18.
10
Validation of national genetic evaluations for maternal beef cattle traits using Irish field data.利用爱尔兰实地数据对肉牛母系性状国家遗传评估进行验证。
J Anim Sci. 2014 Apr;92(4):1423-32. doi: 10.2527/jas.2013-6658. Epub 2014 Mar 18.

基于未来雌性肉牛盈利潜力的指数框架,辅助淘汰牛候选牛的识别。

An index framework founded on the future profit potential of female beef cattle to aid the identification of candidates for culling.

机构信息

Teagasc, Animal and Grassland Research and Innovation Center, Moorepark, Fermoy, Co. Cork, Ireland.

Waterford Institute of Technology, Cork Road, Waterford, Co. Waterford, Ireland.

出版信息

J Anim Sci. 2020 Nov 1;98(11). doi: 10.1093/jas/skaa334.

DOI:10.1093/jas/skaa334
PMID:33047124
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7751179/
Abstract

Meticulous culling decisions, coupled with careful breeding decisions, are fundamental to shifting a population distribution in the favorable direction and improving profit per cow. Nevertheless, there is a paucity of easy-to-use dynamic tools to aid in culling decisions in beef cattle. The motivation for the present study was to develop a monetary-based culling tool, here referred to as the Beef Female's Profit Potential (BFPP), to identify females for culling. The BFPP reflects the expected lifetime profitability of an individual female in a herd for the expected remainder of her lifetime; this profit included that of the beef female herself as well as her progeny. The BFPP index framework was composed of 4 subindexes reflecting the value of an animal: (1) as a nulliparae (this was voided if the cow had already calved), (2) for the remainder of her current parity, (3) summed across each of her expected remaining parities, and (4) when she is retained within the herd and not voluntarily culled. Each subindex was comprised of different components reflecting both genetic and non-genetic effects associated with each female. Transition matrices predicting the expected longevity of each female and their expected month of calving were also utilized in calculating the expected remaining lifetime profitability of each female. The BFPP index was validated on 21,102 beef cows as well as their harvested progeny from 875 herds by stratifying the cows, within herd, into 4 strata based on their BFPP. The mean of the within-herd correlation between the BFPP and the Irish national replacement (i.e., breeding) index was, on average, 0.45 indicating the shortcomings of the breeding index as a culling tool. Cows within the top BFPP stratum had a genetic expectation of accruing almost an additional €36 profit per calving, relative to cows within the worst stratum; when validated on the cow's own calving interval and survival performance as well as their progeny's carcass performance, the actual phenotypic value was estimated to be an additional €32 profit per calving. A proportion of this additional profit was due to the harvested progeny of the high BFPP cows having, on average, heavier, more conformed carcasses with less fat cover relative to their poor BFPP contemporaries. This BFPP framework is a useful and easy-to-use tool to aid in producer decision making on the choice of females to voluntarily cull but also on which replacement heifers to graduate into the mature herd.

摘要

细致的淘汰决策,加上精心的繁殖决策,是将种群分布朝着有利方向转移和提高每头牛利润的基础。然而,目前缺乏易于使用的动态工具来辅助肉牛的淘汰决策。本研究的动机是开发一种基于货币的淘汰工具,这里称为 Beef Female's Profit Potential (BFPP),以识别需要淘汰的母牛。BFPP 反映了牛群中个体母牛在其预期剩余寿命内的预期终生盈利能力;该利润包括母牛自身及其后代的利润。BFPP 指数框架由 4 个子指数组成,反映了动物的价值:(1) 作为初产牛(如果母牛已经产犊,则该子指数无效),(2) 其当前胎次的剩余部分,(3) 其预期剩余胎次的总和,以及 (4) 当她留在牛群中而不是自愿淘汰时。每个子指数都由与每个母牛相关的遗传和非遗传效应的不同组成部分组成。预测每个母牛预期寿命和预期产犊月份的转移矩阵也用于计算每个母牛的预期剩余寿命盈利能力。BFPP 指数在 875 个牛群的 21102 头肉牛及其收获的后代上进行了验证,方法是根据每个母牛的 BFPP 将牛在牛群内分为 4 个层。BFPP 与爱尔兰国家替代(即繁殖)指数之间的牛群内相关性的平均值为 0.45,表明繁殖指数作为淘汰工具的不足之处。处于 BFPP 最高层的母牛每产一头小牛的遗传预期收益增加近 36 欧元,而处于最差层的母牛则相反;当根据母牛自身的产犊间隔和存活表现以及其后代的胴体表现进行验证时,估计实际表型值每产一头小牛增加 32 欧元。这部分额外利润的一部分是由于高 BFPP 牛的收获后代的胴体通常更重、更符合标准,脂肪覆盖更少,与它们较差的 BFPP 同龄牛相比。这个 BFPP 框架是一个有用且易于使用的工具,可以帮助生产者在选择自愿淘汰的母牛以及选择哪些后备牛进入成熟牛群方面做出决策。