| Registro completo |
| Provedor de dados: |
Ciência Rural
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| País: |
Brazil
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| Título: |
Estimate of genetic parameters for carcass traits and visual scores inmeat sheep using Bayesian inference via threshold and linear models
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| Autores: |
Figueiredo Filho,Luiz Antonio Silva
Sarmento,José Lindenberg Rocha
Ó,Alan Oliveira do
Santos,Natanael Pereira da Silva
Sena,Luciano Silva
Sousa Júnior,Antonio de
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| Data: |
2017-01-01
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| Ano: |
2017
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| Palavras-chave: |
Gibbs sampling
Categorical data
Marble meat
Ultrasound
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| Resumo: |
ABSTRACT: The aim of this study was to estimate the variance components and genetic parameters for marbling in the ribeye area (MRA) and body condition score (BCS) using Bayesian inference via mixed linear and threshold animal models. Data were obtained from Santa Ines breed sheep reared in the Brazilian Mid-North region. Analyses considering the Monte Carlo methods were performed with Markov chains from 500000 cycles onward. A 200000-cycle initial burn-in was considered with values taken at every 250 cycles, in a total of 1200 samples. The Monte Carlo Error deviations were low for the means heritability in all chains by both linear and threshold models. Additive variances estimated by threshold model were higher than those estimated by the linear model. Marble meat from the ribeye area and body condition score can be used as selection criteria to obtain genetic progress in Santa Inês sheep.
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| Tipo: |
Info:eu-repo/semantics/article
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| Idioma: |
Inglês
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| Identificador: |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017000300653
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| Editor: |
Universidade Federal de Santa Maria
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| Relação: |
10.1590/0103-8478cr20160174
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| Formato: |
text/html
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| Fonte: |
Ciência Rural v.47 n.3 2017
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| Direitos: |
info:eu-repo/semantics/openAccess
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