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Estimation of (Co)Variance Components of Test Day Yields for U.S. Holsteins

机译:估计美国荷斯坦牛的测试日收益率(共)方差成分

摘要

(Co)variance components for milk, fat, and protein yields during first lactation were calculated from test-day data from 17,190 cows representing 37 large herds in Pennsylvania and Wisconsin. Initially, four lactation stages of 75 days each were defined, and the test day nearest the midpoint of each interval was used. This approach minimized the number of lactations with missing values. A canonical transformation was used to estimate variance components, which required that all observations with missing values be deleted. Preliminary analysis showed little effect from this selection. Heritabilities usually increased with lactation stage, were highest for milk, and averaged .15. Phenotypic and genetic correlations between milk and protein yields were higher than between milk and fat yields. For each yield trait, the genetic correlation declined from about .90 for adjacent lactation stages to about .75 between lactation stages 1 and 4. When yield traits were from the same lactation stage, the genetic correlation averaged .39 between milk and fat, .78 between milk and protein, and .53 between fat and protein. Phenotypic correlations within lactation stage were >.90 between milk and protein and around .65 between milk and fat and between fat and protein. Estimates for the four 75-day lactation stages were extended to provide estimates for twelve 25-day stages (36 traits) using (co)variance functions, which allowed denser coverage of the lactation.
机译:首次泌乳期间牛奶,脂肪和蛋白质产量的(协)方差成分是根据测试日的数据(来自宾夕法尼亚州和威斯康星州的代表37个大牛群的17190头母牛)计算得出的。最初,定义了每个75天的四个泌乳阶段,并使用最接近每个间隔中点的测试日。这种方法可将遗漏值的哺乳次数降至最低。使用典范转换来估计方差分量,这要求删除所有缺少值的观察值。初步分析显示此选择效果不大。遗传力通常随哺乳期增加,牛奶最高,平均为0.15。牛奶和蛋白质产量之间的表型和遗传相关性高于牛奶和脂肪产量之间的表型和遗传相关性。对于每个产量性状,遗传相关性从相邻泌乳阶段的约.90下降到泌乳阶段1和4之间的约.75。牛奶和蛋白质之间为78,脂肪和蛋白质之间为.53。泌乳阶段的表型相关性在牛奶和蛋白质之间> .90,在牛奶和脂肪之间以及脂肪和蛋白质之间大约为.65。使用(协)方差函数扩展了四个75天泌乳阶段的估计值,以提供12个25天阶段(36个性状)的估计值,从而可以更广泛地覆盖泌乳期。

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