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首页> 外文期刊>Animal Science Journal >Adjusting for heterogeneity of variance for carcass traits affects single and multiple trait selections in genetic evaluation of Japanese Black cattle.
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Adjusting for heterogeneity of variance for carcass traits affects single and multiple trait selections in genetic evaluation of Japanese Black cattle.

机译:调整car体性状变异的异质性会影响日本黑牛遗传评估中的单个和多个性状选择。

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摘要

Heterogeneity of variance among subclasses of an effect is a potential source of bias in genetic evaluation. Degrees of the heterogeneity of variance among farm-market-year-sex (FMYS) subclasses for carcass wt., beef marbling standard number, rib-eye area, rib thickness and subcutaneous fat thickness were investigated in Japanese Black cattle. Consequences of adjusting for the heterogeneity on the predicted breeding values (PBV) or on the genetic indexes derived from the PBV of the 5 carcass traits were assessed. A total of 57 461 records were collected between 1997 and 2002 from steers and heifers fattened at farms across Japan. These records were grouped into 1591 FMYS subclasses. Bartlett's test showed that the degree of the heterogeneity of variance among the FMYS subclasses was sizeable in all traits (P < 0.0001). By applying a 2-step adjustment procedure it was possible to reduce the s.d., the coeff. of variation and the Gini coeff. of the phenotypic variances by 67.5-75.0% in the different traits. The applied adjustment caused a substantial re-ranking of elite dams in the PBV for each trait as well as in the genetic index. Results suggest that the applied adjustment reduces the bias in the PBV due to heterogeneous variances and increases the accuracy of bull-dam selection.
机译:效应子类之间方差的异质性是遗传评估中潜在的偏差来源。在日本黑牛中,调查了farm体重量,牛肉大理石花纹标准数量,肋眼面积,肋骨厚度和皮下脂肪厚度之间的农场市场年性别(FMYS)亚类之间方差的异质程度。评估了针对5个car体性状的预测育种值(PBV)或衍生自PBV的遗传指标进行异质性调整的后果。在1997年至2002年之间,共收集了来自日本各地农场育成的公牛和小母牛的57 461条记录。这些记录分为1591个FMYS子类。 Bartlett检验表明,在所有性状中,FMYS子类之间方差的异质性程度均相当大(P <0.0001)。通过应用两步调整程序,可以降低标准系数。变化和基尼系数。不同性状在表型变异上的差异为67.5-75.0%。所应用的调整导致针对每个性状以及遗传指数的PBV中的精英水坝发生了实质性的重新排名。结果表明,所应用的调整减少了由于异类变量而导致的PBV偏差,并提高了大坝选择的准确性。

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