Variance component estimates applying random regression models for test-day milk yield in Caracu heifers (Bos taurus Artiodactyla, Bovidae)

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dc.contributor.authorEl Faro, Lenira
dc.contributor.authorCardoso, Vera Lucia
dc.contributor.authorAlbuquerque, Lucia Galvão de [UNESP]
dc.contributor.institutionAgência Paulista de Tecnologia dos Agronegócios (APTA)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T13:18:58Z
dc.date.available2014-05-20T13:18:58Z
dc.date.issued2008-01-01
dc.description.abstractRandom regression models (RRM) were used to estimate covariance functions for 2,155 first-lactation milk yields of native Brazilian Caracu heifers. The models included contemporary group (defined as year-month of test and paddock) fixed effects, and quadratic effect of age of cow at calving. Genetic and permanent environmental effects were fitted by a random regression model and Legendre polynomials of days in milk (DIM). Schwarz's Bayesian information criteria (BIC) indicated that the best RRM assumed a six coefficient function for both random effects and a sixth order variance function for residual structure. Akaike's information criteria suggested a model with the same number of coefficients for both effects and a residual structure fitted by a step function with 15 variances. Phenotypic, additive genetic, permanent environmental and residual variances were higher at the beginning and declined during lactation. The RRM heritability estimates were 0.09 to 0.26 and generally higher at the beginning and end of lactation. Some unexpected negative genetic correlations emerged when higher order covariance functions were used. A model with four coefficients for additive genetic covariance function explains more parsimoniously the changes in genetic variation with DIM since the genetic parameter was more acceptable and BIC was close to that for a six coefficient covariance function.en
dc.description.affiliationSecretaria da Agricultura e Abastecimento Agência Paulista de Tecnologia dos Agronegócios
dc.description.affiliationUniversidade Estadual Paulista Júlio de Mesquita Filho Faculdade de Ciências Agrárias e Veterinárias Departamento de Zootecnia
dc.description.affiliationUnespUniversidade Estadual Paulista Júlio de Mesquita Filho Faculdade de Ciências Agrárias e Veterinárias Departamento de Zootecnia
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.format.extent665-673
dc.identifierhttp://dx.doi.org/10.1590/S1415-47572008000400011
dc.identifier.citationGenetics and Molecular Biology. Sociedade Brasileira de Genética, v. 31, n. 3, p. 665-673, 2008.
dc.identifier.doi10.1590/S1415-47572008000400011
dc.identifier.fileS1415-47572008000400011.pdf
dc.identifier.issn1415-4757
dc.identifier.lattes5866981114947883
dc.identifier.scieloS1415-47572008000400011
dc.identifier.urihttp://hdl.handle.net/11449/4834
dc.identifier.wosWOS:000258695800011
dc.language.isoeng
dc.publisherSociedade Brasileira de Genética
dc.relation.ispartofGenetics and Molecular Biology
dc.relation.ispartofjcr1.493
dc.relation.ispartofsjr0,638
dc.rights.accessRightsAcesso aberto
dc.sourceSciELO
dc.subjectCovariance functionsen
dc.subjectDairy cattleen
dc.subjectGenetic parameteren
dc.subjectLongitudinal dataen
dc.subjectMilk yielden
dc.titleVariance component estimates applying random regression models for test-day milk yield in Caracu heifers (Bos taurus Artiodactyla, Bovidae)en
dc.typeArtigo
dcterms.licensehttp://www.scielo.br/revistas/gmb/iaboutj.htm
unesp.author.lattes5866981114947883
unesp.author.orcid0000-0002-2030-7590[3]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências Agrárias e Veterinárias, Jaboticabalpt

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Artigos - Zootecnia - FCAV