Genetic evaluation using multi-trait and random regression models in Simmental beef cattle

dc.contributor.authorMota, R. R.
dc.contributor.authorMarques, L. F A
dc.contributor.authorLopes, P. S.
dc.contributor.authorda Silva, L. P.
dc.contributor.authorNeto, F. R A [UNESP]
dc.contributor.authorde Resende, M. D V
dc.contributor.authorTorres, R. A.
dc.contributor.institutionUniversidade Federal de Viçosa (UFV)
dc.contributor.institutionUniversidade Federal do Espírito Santo (UFES)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
dc.date.accessioned2014-05-27T11:30:02Z
dc.date.available2014-05-27T11:30:02Z
dc.date.issued2013-07-24
dc.description.abstractThe 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. ©FUNPEC-RP.en
dc.description.affiliationDepartamento de Zootecnia Universidade Federal de Viçosa, Viçosa, MG
dc.description.affiliationDepartamento de Zootecnia Centro de Ciências Agrárias Universidade Federal do Espírito Santo, Alegre, ES
dc.description.affiliationDepartamento de Zootecnia Universidade Estadual Paulista 'Júlio de Mesquita Filho', Jaboticabal, SP
dc.description.affiliationEmbrapa Florestas, Colombo, PR
dc.description.affiliationDepartamento de Engenharia Florestal Universidade Federal de Viçosa, Viçosa, MG
dc.description.affiliationUnespDepartamento de Zootecnia Universidade Estadual Paulista 'Júlio de Mesquita Filho', Jaboticabal, SP
dc.format.extent2465-2480
dc.identifierhttp://dx.doi.org/10.4238/2013.July.24.2
dc.identifier.citationGenetics and Molecular Research, v. 12, n. 3, p. 2465-2480, 2013.
dc.identifier.doi10.4238/2013.July.24.2
dc.identifier.file2-s2.0-84880817794.pdf
dc.identifier.issn1676-5680
dc.identifier.scopus2-s2.0-84880817794
dc.identifier.urihttp://hdl.handle.net/11449/76046
dc.identifier.wosWOS:000331717400031
dc.language.isoeng
dc.relation.ispartofGenetics and Molecular Research
dc.relation.ispartofsjr0,439
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subject(Co)variance components
dc.subjectBody weight
dc.subjectGrowth trajectory
dc.subjectHeritability
dc.subjectage
dc.subjectalgorithm
dc.subjectbeef cattle
dc.subjectbody weight
dc.subjectbreeding line
dc.subjectenvironmental factor
dc.subjectfemale
dc.subjectgenetic analysis
dc.subjectgenetic association
dc.subjectgrowth curve
dc.subjectheritability
dc.subjectlactation
dc.subjectmale
dc.subjectmathematical analysis
dc.subjectmathematical model
dc.subjectmulti trait model
dc.subjectnonhuman
dc.subjectpedigree
dc.subjectphenotype
dc.subjectrandom regression model
dc.subjectvariance
dc.titleGenetic evaluation using multi-trait and random regression models in Simmental beef cattleen
dc.typeArtigo
dcterms.licensehttp://geneticsmr.com/node/2
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências Agrárias e Veterinárias, Jaboticabalpt
unesp.departmentZootecnia - FCAVpt

Arquivos

Pacote Original
Agora exibindo 1 - 1 de 1
Carregando...
Imagem de Miniatura
Nome:
2-s2.0-84880817794.pdf
Tamanho:
724 KB
Formato:
Adobe Portable Document Format