Abordagem bayesiana e freqüentista em análise genética tricaráter para crescimento e reprodução de bovinos nelore
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Data
2008-09
Título da Revista
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Editor
José Henrique Stringhini
Resumo
The Bayesian inference has been proposed as an
alternative for estimating variance components instead
of the frequentist approach. The objective of this study
was to estimate the (co)variance components and genetic
parameters of growth and reproduction traits in Nelore
cattle using three-trait animal model by Restricted
Maximum Likelihood and Gibbs Sampling. The data set
had 15,173 and 6,911 records of weight (W365) and scrotal
circumference (SC365) at 365 days of age, respectively,
and 10, 388 records of age at first calving (AFC), from
the Nelore Breed Genetic Improvement Program farms.
The linear model included the contemporary groups and
age-of-dam (with exception for AFC) as fixed effects, and
residual and additive direct genetic effects as random.
Estimates obtained by Restricted Maximum Likelihood
were different from those found by Gibbs Sampling. There were no differences in genetic parameter estimates using
the three levels of prior information by Gibbs Sampling.
The Bayesian inference has advantages in relation to
Frequentist approach due to marginal distributions which
offer more information about the parameters.
Descrição
Palavras-chave
Bovinos de corte, Modelo tricaráter, Parâmetros genéticos, Beef cattle, Genetic parameters, Three-trait models
Citação
FARIA, Carina Ubirajara de; MAGNABOSCO, Cláudio de Ulhôa; ALBUQUERQUE, Lucia Galvão; REYES, Arcadio de los; BEZERRA, Luiz Antônio Framartino; LOBO, Raysildo Barbosa. Abordagem bayesiana e freqüentista em análise genética tricaráter para crescimento e reprodução de bovinos nelore. Ciência Animal Brasileira, Goiânia, v. 9, n. 3, p. 598-607, jul./set. 2008. Disponível em: <https://www.revistas.ufg.br/vet/article/view/964/4126>.