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dc.contributor.authorPereira, R. J. [UNESP]
dc.contributor.authorAyres, D. R. [UNESP]
dc.contributor.authorEl Faro, L.
dc.contributor.authorVerneque, R. S.
dc.contributor.authorVercesi Filho, A. E.
dc.contributor.authorAlbuquerque, L. G. [UNESP]
dc.date.accessioned2014-05-27T11:30:45Z
dc.date.available2014-05-27T11:30:45Z
dc.date.issued2013-09-27
dc.identifierhttp://dx.doi.org/10.4238/2013.September.27.5
dc.identifier.citationGenetics and Molecular Research, v. 12, n. 3, p. 4036-4045, 2013.
dc.identifier.issn1676-5680
dc.identifier.urihttp://hdl.handle.net/11449/76655
dc.description.abstractWe analyzed 46,161 monthly test-day records of milk production from 7453 first lactations of crossbred dairy Gyr (Bos indicus) x Holstein cows. The following seven models were compared: standard multivariate model (M10), three reduced rank models fitting the first 2, 3, or 4 genetic principal components, and three models considering a 2-, 3-, or 4-factor structure for the genetic covariance matrix. Full rank residual covariance matrices were considered for all models. The model fitting the first two principal components (PC2) was the best according to the model selection criteria. Similar phenotypic, genetic, and residual variances were obtained with models M10 and PC2. The heritability estimates ranged from 0.14 to 0.21 and from 0.13 to 0.21 for models M10 and PC2, respectively. The genetic correlations obtained with model PC2 were slightly higher than those estimated with model M10. PC2 markedly reduced the number of parameters estimated and the time spent to reach convergence. We concluded that two principal components are sufficient to model the structure of genetic covariances between test-day milk yields. © FUNPEC-RP.en
dc.format.extent4036-4045
dc.language.isoeng
dc.relation.ispartofGenetics and Molecular Research
dc.sourceScopus
dc.subjectFactor analysis
dc.subjectMilk production
dc.subjectPrincipal components
dc.titleComparison of factor-analytic and reduced rank models for test-day milk yield in Gyr dairy cattle (Bos indicus)en
dc.typeArtigo
dcterms.licensehttp://geneticsmr.com/node/2
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionAgência Paulista de Tecnologia dos Agronegócios (APTA)
dc.contributor.institutionEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
dc.description.affiliationUniversidade Estadual Paulista Júlio de Mesquita Filho, Jaboticabal, SP
dc.description.affiliationAgência Paulista de Tecnologia dos Agronegócios, Ribeirão Preto, SP
dc.description.affiliationEmbrapa Gado de Leite, Juiz de Fora, MG
dc.description.affiliationUnespUniversidade Estadual Paulista Júlio de Mesquita Filho, Jaboticabal, SP
dc.identifier.doi10.4238/2013.September.27.5
dc.identifier.wosWOS:000331717400197
dc.rights.accessRightsAcesso aberto
dc.identifier.scopus2-s2.0-84884839371
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Ciências Agrárias e Veterinárias, Jaboticabalpt
dc.identifier.file2-s2.0-84884839371.pdf
unesp.author.orcid0000-0002-2030-7590[6]
dc.relation.ispartofsjr0,439
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