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dc.contributor.authorSesana, R. C.
dc.contributor.authorBignardi, A. B.
dc.contributor.authorEl Faro, L.
dc.contributor.authorSeno, L. O.
dc.contributor.authorBorquis, R. R. A.
dc.contributor.authorAlbuquerque, L. G.
dc.contributor.authorTonhati, Humberto [UNESP]
dc.date.accessioned2014-05-20T13:18:01Z
dc.date.available2014-05-20T13:18:01Z
dc.date.issued2007-01-01
dc.identifierhttp://dx.doi.org/10.4081%2Fijas.2007.s2.364
dc.identifierhttp://www.aspajournal.it/index.php/ijas/article/view/ijas.2007.s2.364
dc.identifier.citationItalian Journal of Animal Science. Pavia: Pagepress Publ, v. 6, p. 364-367, 2007.
dc.identifier.issn1594-4077
dc.identifier.urihttp://hdl.handle.net/11449/4279
dc.description.abstractThe objectives of this study were to estimate (co)variance functions for additive genetic and permanent environmental effects, as well as the genetic parameters for milk yield over multiple parities, using random regressions models (RRM). Records of 4,757 complete lactations of Murrah breed buffaloes from 12 herds were analyzed. Ages at calving were between 2 and 11 years. The model included the additive genetic and permanent environmental random effects and the fixed effects of contemporary groups (herd, year and calving season) and milking frequency (1 or 2). A cubic regression on Legendre orthogonal polynomials of ages was used to model the mean trend. The additive genetic and permanent environmental effects were modeled by Legendre orthogonal polynomials. Residual variances were considered homogenous or heterogeneous, modeled through variance functions or step functions with 5, 7 or 10 classes. Results from Akaike's and Schwarz's Bayesian information criterion indicated that a RRM considering a third order polynomial for the additive genetic and permanent environmental effects and a step function with 5 classes for residual variances fitted best. Heritability estimates obtained by this model varied from 0.10 to 0.28. Genetic correlations were high between consecutive ages, but decreased when intervals between ages increaseden
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.format.extent364-367
dc.language.isoeng
dc.publisherPagepress Publ
dc.relation.ispartofItalian Journal of Animal Science
dc.sourceWeb of Science
dc.subjectGenetic parameterspt
dc.subjectLegendre polynomialspt
dc.subjectMilk yieldpt
dc.titleRandom regressions models to describe the genetic variation of milk yield over multiple parities in Buffaloesen
dc.typeArtigo
dcterms.licensehttp://www.pagepress.org/open_access.html
dcterms.rightsHolderPagepress Publ
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionAgência Paulista de Tecnologia dos Agronegócios (APTA)
dc.description.affiliationUNESP, Fac Ciências Agr & Vet, Dept Zootecnia, Univ Estadual Paulista,Univ São Paulo Stn, BR-14884000 Jaboticabal, SP, Brazil
dc.description.affiliationAgencia Paulista Tecnol Agronegocios Apta, Secretaria Agr & Abastecimento, Fazenda Expt Zootecnia Ribeirao Preto, São Paulo, Brazil
dc.description.affiliationFundação Amparo Pesquisa Estado São Paulo FAPESP, Conselho Nacl Desenvolvimento Cient Tecnol CNPq, São Paulo, Brazil
dc.description.affiliationUnespUNESP, Fac Ciências Agr & Vet, Dept Zootecnia, Univ Estadual Paulista,Univ São Paulo Stn, BR-14884000 Jaboticabal, SP, Brazil
dc.identifier.doi10.4081%2Fijas.2007.s2.364
dc.identifier.wosWOS:000207598400057
dc.rights.accessRightsAcesso aberto
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Ciências Agrárias e Veterinárias, Jaboticabalpt
dc.identifier.fileWOS000207598400057.pdf
dc.identifier.lattes7445254960858159
unesp.author.lattes7445254960858159
unesp.author.orcid0000-0002-2030-7590[6]
dc.relation.ispartofjcr0.990
dc.relation.ispartofsjr0,434
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