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Genetics and Breeding (Online Only): Estimation of (Co) variance Function coefficients For Test Day Yield with a Expectation-Maximization Restricted Maximum Likelihood Algorithm

机译:遗传和育种(仅在线):使用期望最大化限制最大似然算法估计测试日产量的(Co)方差函数系数

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摘要

Coefficients for (co) variance functions were ob- tained via random regression models using the expectation-maximization REML algorithm. Data in- cluded milk, fat, and protein yields from 176, 495 test days of 22, 943 first lactation Holstein cows that calved in Pennsylvania and Wisconsin from 1990 through 1996. Three approximately equal-sized data sets were created: one for Pennsylvania and two for Wisconsin. Random regressions were on third order Legendre polynomials.
机译:(协)方差函数的系数是使用期望最大化REML算法通过随机回归模型获得的。数据包括1990年至1996年在宾夕法尼亚州和威斯康星州产犊的22头和943头首次泌乳的荷斯坦奶牛的176、495个测试日的牛奶,脂肪和蛋白质的产量。创建了三个大致相等的数据集:一个用于宾夕法尼亚州,另一个用于数据分析。威斯康星州两个。随机回归采用三阶勒让德多项式。

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