Bovenhuis H, Van Arendonk J A
Department of Animal Breeding, Wageningen Agricultural University, The Netherlands.
J Dairy Sci. 1991 Aug;74(8):2728-36. doi: 10.3168/jds.S0022-0302(91)78452-X.
A maximum likelihood method is presented to estimate the fraction of animals misclassified and breed effects for milk protein gene frequencies based on crossbred data. A simulation study indicates that the method provides estimates of gene frequencies that agree closely with the true values. Gene frequencies in the Dutch Black and White and the Dutch Red and White crossbred populations, based on data on 10,151 and 580 animals respectively, were estimated. Dutch Friesian and Holstein-Friesian breeds differ in gene frequencies for beta-casein and beta-lactoglobulin. Estimates for fractions misclassified are zero for alpha s1-casein, .09 for beta-casein and beta-lactoglobulin, and .12 for kappa-casein. Differences between Dutch Red and Whites and Red Holstein-Friesian breeds are small, and estimates for fractions misclassified are high but have high approximate standard errors. Compared with the Black and White breeds, the Red and Whites have a high kappa-casein B gene frequency.
提出了一种基于杂交数据估计动物误分类比例和乳蛋白基因频率的品种效应的最大似然法。一项模拟研究表明,该方法提供的基因频率估计值与真实值非常接近。分别基于10151头和580头动物的数据,估计了荷兰黑白花和荷兰红白花杂交群体中的基因频率。荷兰弗里生牛和荷斯坦 - 弗里生牛品种在β-酪蛋白和β-乳球蛋白的基因频率上存在差异。αs1-酪蛋白的误分类比例估计值为零,β-酪蛋白和β-乳球蛋白为0.09,κ-酪蛋白为0.12。荷兰红白花牛与红荷斯坦 - 弗里生牛品种之间的差异较小,误分类比例估计值较高,但近似标准误差也较高。与黑白花品种相比,红白花牛具有较高的κ-酪蛋白B基因频率。