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Mixture models in quantitative genetics and applications to animal breeding R. Bras. Zootec.
Gianola,Daniel; Boettcher,Paul J.; Ødegård,Jørgen; Heringstad,Bjørg.
Finite mixture models are helpful for uncovering heterogeneity due to hidden structure; for example, unknown major genes. The first part of this article gives examples and reviews quantitative genetics issues of continuous characters having a finite mixture of Gaussian components. The partition of variance in a mixture, the covariance between relatives under the supposition of an additive genetic model and the offspring-parent regression are derived. Formulae for assessing the effect of mass selection operating on a mixture are given. Expressions for the genetic correlation between a mixture and a Gaussian trait are presented. If there is heterogeneity in a population at the genetic or environmental levels, then genetic parameters based on theory treating...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Bayesian methods; Dairy cattle; Maximum likelihood; Mixture distributions; Quantitative genetics; Somatic cell scores.
Ano: 2007 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982007001000017
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