Genetical Research



Normal linear models with genetically structured residual variance heterogeneity: a case study


DANIEL SORENSEN a1c1 and RASMUS WAAGEPETERSEN a2
a1 Danish Institute of Agricultural Sciences, Department of Animal Breeding and Genetics, PB50, 8830 Tjele, Denmark
a2 Department of Mathematical Sciences, Aalborg University, 9220 Aalborg, Denmark

Article author query
sorensen d   [PubMed][Google Scholar] 
waagepetersen r   [PubMed][Google Scholar] 

Abstract

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.

(Received December 9 2002)
(Revised June 30 2003)
(Revised August 21 2003)


Correspondence:
c1 e-mail: sorensen@inet.uni2.dk


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