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Genotype x Environment Interaction for Protein Yield in Dutch Dairy Cattle as Quantified by Different Models

机译:基因型x环境相互作用对荷兰奶牛蛋白质产量的影响(通过不同模型进行量化)

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Variance components and breeding values for protein yield were estimated with REML without and with correction for heterogeneity of variances. Three different sire models were applied, which all accounted for genotype x environment (G x E) interaction. The first model included a sire x herd-year-season subclass (HYS) interaction. The second model divided all records in four different types of management groups, based on estimated HYS subclass effect. The third model, the reaction norm model, performed a random linear regression on the estimated HYS effect. For comparison, a standard model that did not take G x E interaction into account was also applied. Data consisted of 102,899 305-d first-lactation protein records of Holstein Friesi-ans of 1000 of the largest Dutch dairy herds. All animals calved in 1997, 1998, or 1999. Estimated breeding values (EBV) for 2150 bulls with at least five daughters were calculated. The interaction model detected an interaction variance of 2.5% of the phenotypic variance. The EBV showed a correlation of 1.00 with those of the standard model without interaction. The model with the division in groups showed correlations between groups ranging from 0.73 to 0.86. The EBV showed correlations from 0.84 to 0.91 with the EBV of the standard model. The reaction norm model calculated EBV that had a correlation of 1.00 with the EBV of the standard model. The reaction norm model was not able to detect significant variance of the slope for the protein data corrected for heterogeneity of variances.
机译:使用REML估算了方差成分和蛋白质产量的育种值,该方法不带方差校正,也没有校正方差异质性。应用了三种不同的父亲模型,它们都解释了基因型x环境(G x E)的相互作用。第一个模型包括一个父亲x牧群-年份-季节子类(HYS)交互。第二个模型根据估计的HYS子类效果将所有记录分为四个不同类型的管理组。第三个模型,反应规范模型,对估计的HYS效果进行了随机线性回归。为了进行比较,还应用了未考虑G x E相互作用的标准模型。数据由荷兰最大的奶牛场1000个中的荷斯坦·弗里西斯人的102,899 305-d初乳蛋白记录组成。所有动物均在1997、1998或1999年产犊。计算出至少有5个女儿的2150头公牛的估计繁殖值(EBV)。交互模型检测到交互变异为表型变异的2.5%。 EBV与没有相互作用的标准模型显示为1.00。分组的模型显示各组之间的相关性介于0.73至0.86之间。 EBV与标准模型的EBV呈0.84至0.91的相关性。反应规范模型计算出的EBV与标准模型的EBV的相关性为1.00。对于校正了方差异质性的蛋白质数据,反应规范模型无法检测到斜率的显着方差。

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