Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/45638
Title: Proposta de análise genética de curvas de crescimento de bovinos por meio do algoritmo SAEM
Other Titles: Proposal for genetic analysis of growth curves of cattle through the SAEM algorithm
Keywords: Componente de covariância
Algoritmo estocástico EM
Curvas genéticas
Covariance components
EM stochastic algorithm
Genetics curves
Stochastic approximation EM (SAEM)
Issue Date: Oct-2012
Publisher: Universidade Federal de Minas Gerais (UFMG), Escola de Veterinária
Citation: SILVA, N. A. M. et al. Proposta de análise genética de curvas de crescimento de bovinos por meio do algoritmo SAEM. Arquivo Brasileiro de Medicina Veterinária e Zootecnia, Belo Horizonte, v. 64, n. 5, p. 1256-1264, Oct. 2012. DOI: 10.1590/S0102-09352012000500025.
Abstract: Two methodologies in genetic evaluation of growth curves of Nellore cattle were compared: the SAEM algorithm and the Two Step method. To implement these methodologies the Brody modified growth curve and the sire model were used. The difference between the SAEM and the Two Step is that SAEM estimates jointly the parameters of the model and genetics and environmental effects and the Two Step method does this process in two independent steps. Estimates of the fixed effects and genetics parameters, and prediction breeding values for the sires were obtained from the methodologies. From the breeding values genetic curves were obtained for the sires. The SAEM algorithm proved consistent in the estimation of fixed effects and prediction of random effects.
URI: http://repositorio.ufla.br/jspui/handle/1/45638
Appears in Collections:DZO - Artigos publicados em periódicos



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