Department of Animal Production, Faculty of Veterinary Medicine, Aristotle University of Thessaloniki, GR-54124 Thessaloniki, Greece.
J Dairy Sci. 2012 Apr;95(4):2170-5. doi: 10.3168/jds.2011-4838.
The objectives of this study were to derive phenotypic and genetic prediction equations of liveweight from linear conformation traits, and estimate genetic and phenotypic parameters for these traits. Data pertained to 2,728 conformation and liveweight records of 613 cows in 1,529 lactations. Cows were raised at the Scottish Agricultural College research station and had calved between 2002 and 2010. Fifteen linear conformation traits were considered as predictors. To validate phenotypic predictions, the data set was randomly split into independent reference and validation subsets. Reference subsets were used to derive prediction equations with the use of a mixed model. Comparisons between predicted and actual liveweight in the validation subsets indicated that stature, chest width, body depth, and angularity could be used to derive phenotypic predictions of liveweight. Accuracy of these predictions was better for first-lactation than for all-lactation liveweight data. Significant genetic correlations between liveweight and the 4 predictor traits ranged from 0.49 to 0.76, and phenotypic correlations were 0.33 to 0.56. Estimated genetic (co)variances were used to develop prediction equations of animal genetic merit for liveweight from routinely calculated genetic evaluations for conformation traits.
本研究旨在从线性体型性状中推导出活重的表型和遗传预测方程,并估计这些性状的遗传和表型参数。数据涉及 613 头奶牛在 1529 个泌乳期中的 2728 个体型和活重记录。奶牛在苏格兰农业学院研究站饲养,产犊时间为 2002 年至 2010 年。考虑了 15 个线性体型性状作为预测因子。为了验证表型预测,数据集被随机分为独立的参考和验证子集。使用混合模型,参考子集用于推导出预测方程。在验证子集中,对预测体重和实际体重进行比较表明,体高、胸宽、体深和角度可以用于推导出活重的表型预测。这些预测对初产奶牛的准确性高于所有产奶牛的活重数据。活重与 4 个预测性状之间的遗传相关性在 0.49 到 0.76 之间,表型相关性在 0.33 到 0.56 之间。利用估计的遗传(协)方差,从常规计算的体型性状遗传评估中推导出了动物遗传优势的活重预测方程。