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荷斯坦奶牛预测财务和遗传增益对性状经济价值变化的敏感性。

The sensitivity of predicted financial and genetic gains in Holsteins to changes in the economic value of traits.

机构信息

SAC, Easter Bush, Campus, Penicuik, UK.

出版信息

J Anim Breed Genet. 2013 Feb;130(1):41-54. doi: 10.1111/j.1439-0388.2012.01002.x. Epub 2012 May 12.

Abstract

The objective of this study was to assess the impact of using different relative economic values (REVs) in selection indices on predicted financial and trait gains from selection of sires of cows and on the choice of leading Holstein bulls available in the UK dairy industry. Breeding objective traits were milk yield, fat yield, protein yield, lifespan, mastitis, non-return rate, calving interval and lameness. Relative importance of a trait, as estimated by a.h(2), was only moderately related to the rate of financial loss or total economic merit (ΔTEM) per percentage under- or overestimation of REV (r = 0.38 and 0.29, respectively) as a result of the variance-covariance structure of traits. The effects on TEM of under- or overestimating trait REVs were non-symmetrical. TEM was most sensitive to incorrect REVs for protein, fat, milk and lifespan and least sensitive to incorrect calving interval, lameness, non-return and mastitis REVs. A guide to deciding which dairy traits require the most rigorous analysis in the calculation of their REVs is given. Varying the REVs within a fairly wide range resulted in different bulls being selected by index and their differing predicted transmitting abilities would result in the herds moving in different directions in the long term (20 years). It is suggested that customized indices, where the farmer creates rankings of bulls tailored to their specific farm circumstances, can be worthwhile.

摘要

本研究旨在评估在选择牛的种公牛时使用不同相对经济价值(REV)对预测财务和性状收益的影响,以及对英国奶牛业中可用的主要荷斯坦公牛的选择的影响。 育种目标性状为产奶量、产脂量、产蛋白量、寿命、乳腺炎、受胎率、产犊间隔和跛行。 通过 h(2)估计的性状相对重要性与因 REV 低估或高估(r = 0.38 和 0.29)而导致的财务损失或总经济优势(ΔTEM)的百分比之间仅呈中度相关,这是由于性状的方差协方差结构所致。 低估或高估性状 REV 对 TEM 的影响是不对称的。 TEM 对蛋白质、脂肪、牛奶和寿命的 REV 错误最敏感,对产犊间隔、跛行、受胎率和乳腺炎的 REV 错误最不敏感。 提供了一个决定哪些奶牛性状需要在计算其 REV 时进行最严格分析的指南。 在相当宽的范围内改变 REV 会导致指数选择不同的公牛,并且它们不同的预测传递能力将导致长期(20 年)中畜群朝着不同的方向发展。 建议定制指数,农民可以根据自己的具体农场情况创建公牛排名,这可能是值得的。

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