Genetic evaluation of growth traits in Nellore cattle through multi-trait and random regression models

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dc.creatorBruno Bastos Teixeira
dc.creatorRodrigo Reis Mota
dc.creatorRaysildo Barbosa Lôbo
dc.creatorLuciano Pinheiro da Silva
dc.creatorAntônio Policarpo Souza Carneiro
dc.creatorFelipe Gomes da Silva
dc.creatorGiovani da Costa Caetano
dc.creatorFabyano Fonseca e Silva
dc.date.accessioned2023-02-01T13:55:54Z
dc.date.accessioned2025-09-09T00:37:03Z
dc.date.available2023-02-01T13:55:54Z
dc.date.issued2018-06-30
dc.description.sponsorshipCNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico
dc.description.sponsorshipFAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas Gerais
dc.identifier.doihttps://doi.org/10.17221/21/2017-CJAS
dc.identifier.issn1805-9309
dc.identifier.urihttps://hdl.handle.net/1843/49358
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofCzech Journal of Animal Science
dc.rightsAcesso Aberto
dc.subjectGenética veterinária
dc.subjectNelore (Bovino)
dc.subjectVariáveis aleatórias
dc.subjectMétodo de projeção aleatória
dc.subjectLegendre, Polinômios de
dc.subjectPeso corporal
dc.titleGenetic evaluation of growth traits in Nellore cattle through multi-trait and random regression models
dc.typeArtigo de periódico
local.citation.epage221
local.citation.issue6
local.citation.spage212
local.citation.volume63
local.description.resumoWe 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.
local.publisher.countryBrasil
local.publisher.departmentICA - INSTITUTO DE CIÊNCIAS AGRÁRIAS
local.publisher.initialsUFMG
local.url.externahttps://cjas.agriculturejournals.cz/pdfs/cjs/2018/06/02.pdf

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