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Provedor de dados:  Genet. Mol. Biol.
País:  Brazil
Título:  Genotype by environment interaction for 450-day weight of Nelore cattle analyzed by reaction norm models
Autores:  Pégolo,Newton T.
Oliveira,Henrique N.
Albuquerque,Lúcia G.
Bezerra,Luiz Antonio F.
Lôbo,Raysildo B.
Data:  2009-01-01
Ano:  2009
Palavras-chave:  Growth
Genotype by environment interaction
Plasticity
Random regression
Robustness
Resumo:  Genotype by environment interactions (GEI) have attracted increasing attention in tropical breeding programs because of the variety of production systems involved. In this work, we assessed GEI in 450-day adjusted weight (W450) Nelore cattle from 366 Brazilian herds by comparing traditional univariate single-environment model analysis (UM) and random regression first order reaction norm models for six environmental variables: standard deviations of herd-year (RRMw) and herd-year-season-management (RRMw-m) groups for mean W450, standard deviations of herd-year (RRMg) and herd-year-season-management (RRMg-m) groups adjusted for 365-450 days weight gain (G450) averages, and two iterative algorithms using herd-year-season-management group solution estimates from a first RRMw-m and RRMg-m analysis (RRMITw-m and RRMITg-m, respectively). The RRM results showed similar tendencies in the variance components and heritability estimates along environmental gradient. Some of the variation among RRM estimates may have been related to the precision of the predictor and to correlations between environmental variables and the likely components of the weight trait. GEI, which was assessed by estimating the genetic correlation surfaces, had values < 0.5 between extreme environments in all models. Regression analyses showed that the correlation between the expected progeny differences for UM and the corresponding differences estimated by RRM was higher in intermediate and favorable environments than in unfavorable environments (p < 0.0001).
Tipo:  Info:eu-repo/semantics/article
Idioma:  Inglês
Identificador:  http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572009000200013
Editor:  Sociedade Brasileira de Genética
Relação:  10.1590/S1415-47572009005000027
Formato:  text/html
Fonte:  Genetics and Molecular Biology v.32 n.2 2009
Direitos:  info:eu-repo/semantics/openAccess
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