Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/49358
Type: Artigo de Periódico
Title: Genetic evaluation of growth traits in Nellore cattle through multi-trait and random regression models
Authors: Bruno Bastos Teixeira
Rodrigo Reis Mota
Raysildo Barbosa Lôbo
Luciano Pinheiro da Silva
Antônio Policarpo Souza Carneiro
Felipe Gomes da Silva
Giovani da Costa Caetano
Fabyano Fonseca e Silva
Abstract: We aimed to evaluate different orders of fixed and random effects in random regression models (RRM) based on Legendre orthogonal polynomials as well as to verify the feasibility of these models to describe growth curves in Nellore cattle. The proposed RRM were also compared to multi-trait models (MTM). Variance components and genetic parameters estimates were performed via REML for all models. Twelve RRM were compared through Akaike (AIC) and Bayesian (BIC) information criteria. The model of order three for the fixed curve and four for all random effects (direct genetic, maternal genetic, permanent environment, and maternal permanent environment) fits best. Estimates of direct genetic, maternal genetic, maternal permanent environment, permanent environment, phenotypic and residual variances were similar between MTM and RRM. Heritability estimates were higher via RRM. We presented perspectives for the use of RRM for genetic evaluation of growth traits in Brazilian Nellore cattle. In general, moderate heritability estimates were obtained for the majority of studied traits when using RRM. Additionally, the precision of these estimates was higher when using RRM instead of MTM. However, concerns about the variance components estimates in advanced ages via Legendre polynomial must be taken into account in future studies.
Subject: Genética veterinária
Nelore (Bovino)
Variáveis aleatórias
Método de projeção aleatória
Legendre, Polinômios de
Peso corporal
language: eng
metadata.dc.publisher.country: Brasil
Publisher: Universidade Federal de Minas Gerais
Publisher Initials: UFMG
metadata.dc.publisher.department: ICA - INSTITUTO DE CIÊNCIAS AGRÁRIAS
Rights: Acesso Aberto
metadata.dc.identifier.doi: https://doi.org/10.17221/21/2017-CJAS
URI: http://hdl.handle.net/1843/49358
Issue Date: 30-Jun-2018
metadata.dc.url.externa: https://cjas.agriculturejournals.cz/pdfs/cjs/2018/06/02.pdf
metadata.dc.relation.ispartof: Czech Journal of Animal Science
Appears in Collections:Artigo de Periódico



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