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Estimation of Genetic Parameters for Daily Gains of Bulls with Multi-Trait and Random Regression Models

机译:多性状和随机回​​归模型估算公牛日增重的遗传参数

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摘要

The average daily gains of 6,420 Czech Pied bulls (dual-purpose, Simmental type) from 7 breeding stations wereanalyzed using single-trait animal models, a multi-trait animal model and random regression models. The effectsof station, year and season were taken into account by creating herd-year-season classes (HYS) with the seasonbeing defined as a 3-month class starting with December. Legendre polynomials of the 1st to the 4th degree wereused to describe the daily gains within the HYS classes as well as to model bull-specific gain curves. Thecomparison of the h-values estimated with single-trait models and those gained with a multi-trait model returnedonly insignificant differences. The comparison of genetic parameters based on the multi-trait model to thosefrom different random regression models shows that polynomials of at least the 2nd degree are to be used for thegenetic analysis of daily gains.
机译:使用单性状动物模型,多性状动物模型和随机回归模型分析了来自7个育种站的6,420头捷克公牛(两用,西门塔尔型)的平均日增重。通过创建牧群-年度季节班(HYS),并考虑季节,年份和季节的影响,将季节定义为从12月开始的3个月班。使用1至4度的勒让德多项式来描述HYS类中的每日收益以及对特定于公牛的收益曲线进行建模。单性状模型估计的h值与多性状模型估计的h值的比较仅返回了很小的差异。将基于多特征模型的遗传参数与来自不同随机回归模型的遗传参数进行比较,结果表明至少要使用2次多项式进行每日收益的遗传分析。

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