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Hierarchical Bayesian models for genotype × environment estimates in post-weaning gain of Hereford bovine via reaction norms R. Bras. Zootec.
Cardoso,Leandro Lunardini; Braccini Neto,José; Cardoso,Fernando Flores; Cobuci,Jaime Araújo; Biassus,Igor de Oliveira; Barcellos,Júlio Otávio Jardim.
It was evaluated statistical models with different assumptions to define the one that best describes the presence of genotype × environment interaction on adjusted post-weaning weight gain (PWG345) of Hereford cattle, through the study of reactions norms to the environment, obtained by random regression using a Bayesian approach. Four reaction norms hierarchical models (RNHM) were used through the INTERGEN program. The RNHM K uses the solutions of contemporary groups previously estimated by the standard animal model (AM) and considers them as environmental level for predicting the reaction norms and the RNHM S, which jointly estimate these two sets of unknowns. For both models, two versions were considered, one with a homogeneous (hm) and another with a...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Adaptability; Bayesian inference; Environmental sensitivity; Genetic evaluation; Random regression.
Ano: 2011 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982011000200009
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