Sorensen Daniel, Waagepetersen Rasmus
Danish Institute of Agricultural Sciences, Department of Animal Breeding and Genetics, Tjele.
Genet Res. 2003 Dec;82(3):207-22. doi: 10.1017/s0016672303006426.
Normal mixed models with different levels of heterogeneity in the residual variance are fitted to pig litter size data. Exploratory analysis and model assessment is based on examination of various posterior predictive distributions. Comparisons based on Bayes factors and related criteria favour models with a genetically structured residual variance heterogeneity. There is, moreover, strong evidence of a negative correlation between the additive genetic values affecting litter size and those affecting residual variance. The models are also compared according to the purposes for which they might be used, such as prediction of 'future' data, inference about response to selection and ranking candidates for selection. A brief discussion is given of some implications for selection of the genetically structured residual variance model.
将具有不同残差方差异质性水平的正态混合模型应用于猪窝产仔数数据。探索性分析和模型评估基于对各种后验预测分布的检验。基于贝叶斯因子和相关标准的比较支持具有遗传结构残差方差异质性的模型。此外，有强有力的证据表明，影响窝产仔数的加性遗传值与影响残差方差的加性遗传值之间存在负相关。还根据模型可能的用途对模型进行了比较，例如“未来”数据的预测、对选择反应的推断以及选择候选个体的排名。简要讨论了遗传结构残差方差模型选择的一些影响。
