Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/966526
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dc.contributor.authorMOTA, R. R.
dc.contributor.authorMARQUES, L. F. A.
dc.contributor.authorLOPES, P. S.
dc.contributor.authorSILVA, L. P. da
dc.contributor.authorRESENDE, M. D. V. de
dc.contributor.authorTORRES, R. A.
dc.date.accessioned2018-01-03T23:16:54Z-
dc.date.available2018-01-03T23:16:54Z-
dc.date.created2013-09-18
dc.date.issued2013
dc.identifier.citationGenetics and Molecular Research, v. 12, n. 3, p. 2465-2480, 2013.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/966526-
dc.descriptionThe Brazilian Association of Simmental and Simbrasil Cattle Farmers provided 29,510 records from 10,659 Simmental beef cattle; these were used to estimate (co)variance components and genetic parameters for weights in the growth trajectory, based on multi-trait (MTM) and random regression models (RRM). The (co)variance components and genetic parameters were estimated by restricted maximum likelihood. In the MTM analysis, the likelihood ratio test was used to determine the significance of random effects included in the model and to define the most appropriate model. All random effects were significant and included in the final model. In the RRM analysis, different adjustments of polynomial orders were compared for 5 different criteria to choose the best fit model. An RRM of third order for the direct additive genetic, direct permanent environmental, maternal additive genetic, and maternal permanent environment effects was sufficient to model variance structures in the growth trajectory of the animals. The (co)variance components were generally similar in MTM and RRM. Direct heritabilities of MTM were slightly lower than RRM and varied from 0.04 to 0.42 and 0.16 to 0.45, respectively. Additive direct correlations were mostly positive and of high magnitude, being highest at closest ages. Considering the results and that pre-adjustment of the weights to standard ages is not required, RRM is recommended for genetic evaluation of Simmental beef cattle in Brazil.
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectSimental
dc.subjectTragetória de crescimento
dc.subjectComponente de variância
dc.titleGenetic evaluation using multi-trait and random regression models in Simmental beef cattle.
dc.typeArtigo de periódico
dc.date.updated2018-01-03T23:16:54Zpt_BR
dc.subject.thesagroGado de Cortept_BR
dc.subject.thesagroPesopt_BR
riaa.ainfo.id966526
riaa.ainfo.lastupdate2018-01-03
dc.contributor.institutionUFV; UNIVERSIDADE FEDERAL DO ESPIRITO SANTO; UFV; UFV; MARCOS DEON VILELA DE RESENDE, CNPF; UFV.
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