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Provedor de dados:  PAB
País:  Brazil
Título:  Estimates of genetic parameters and cluster analyses for carcass and meat quality traits in birds
Autores:  Bainy,Adriane Molardi
Savegnago,Rodrigo Pelicioni
Freitas,Luara Afonso de
Nunes,Beatriz do Nascimento
Rosa,Jaqueline Oliveira
Ledur,Mônica Corrêa
Munari,Danísio Prado
Data:  2017-03-01
Ano:  2017
Palavras-chave:  Genetic correlation
Heritability
Meat color
White Leghorn
Resumo:  Abstract: The objective of this work was to estimate genetic parameters for bird carcass and meat quality traits, as well as to explore the genetic patterns of the breeding values of this population using cluster analyses. Data from 1,846 birds were used to estimate the genetic parameters of production and quality traits using the multiple-trait animal model, and cluster analyses were performed. The heritability estimates ranged from 0.08± 0.03 for meat pH measured 24 hours after slaughter to 0.85± 0.09 for body weight. The genetic correlations between production traits were high and positive. The genetic correlations between meat quality traits were low and were not informative due to the high standard errors (same magnitudes as those of the genetic correlations). The genetic correlations between meat production and quality traits were negative, except between production traits and meat lightness intensity. Based on breeding values (EBVs), the evaluated population can be divided into four groups through cluster analyses, and one group is suitable for selection because the birds presented EBVs above and around the average of the population, respectively, for production and quality traits. Therefore, it is possible to obtain genetic gains for production-related traits without decreasing meat quality.
Tipo:  Info:eu-repo/semantics/article
Idioma:  Inglês
Identificador:  http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2017000300205
Editor:  Embrapa Secretaria de Pesquisa e Desenvolvimento

Pesquisa Agropecuária Brasileira
Relação:  10.1590/s0100-204x2017000300008
Formato:  text/html
Fonte:  Pesquisa Agropecuária Brasileira v.52 n.3 2017
Direitos:  info:eu-repo/semantics/openAccess
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