Genetic parameters for test-day yield of milk, fat and protein in buffaloes estimated by random regression models

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dc.contributor.authorAspilcueta-Borquis, Rusbel R. [UNESP]
dc.contributor.authorAraujo Neto, Francisco R. [UNESP]
dc.contributor.authorBaldi, Fernando [UNESP]
dc.contributor.authorSantos, Daniel J. A. [UNESP]
dc.contributor.authorAlbuquerque, Lucia Galvão de [UNESP]
dc.contributor.authorTonhati, Humberto [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionConselho Nacional de Desenvolvimento Científico & Tecnológico (CNPq)
dc.contributor.institutionInstituto Nacional de Ciência e Tecnologia de Ciência Animal (INCT-CA)
dc.date.accessioned2014-05-20T13:19:12Z
dc.date.available2014-05-20T13:19:12Z
dc.date.issued2012-08-01
dc.description.abstractThe test-day yields of milk, fat and protein were analysed from 1433 first lactations of buffaloes of the Murrah breed, daughters of 113 sires from 12 herds in the state of São Paulo, Brazil, born between 1985 and 2007. For the test-day yields, 10 monthly classes of lactation days were considered. The contemporary groups were defined as the herd-year-month of the test day. Random additive genetic, permanent environmental and residual effects were included in the model. The fixed effects considered were the contemporary group, number of milkings (1 or 2 milkings), linear and quadratic effects of the covariable cow age at calving and the mean lactation curve of the population (modelled by third-order Legendre orthogonal polynomials). The random additive genetic and permanent environmental effects were estimated by means of regression on third-to sixth-order Legendre orthogonal polynomials. The residual variances were modelled with a homogenous structure and various heterogeneous classes. According to the likelihood-ratio test, the best model for milk and fat production was that with four residual variance classes, while a third-order Legendre polynomial was best for the additive genetic effect for milk and fat yield, a fourth-order polynomial was best for the permanent environmental effect for milk production and a fifth-order polynomial was best for fat production. For protein yield, the best model was that with three residual variance classes and third- and fourth-order Legendre polynomials were best for the additive genetic and permanent environmental effects, respectively. The heritability estimates for the characteristics analysed were moderate, varying from 0.16 +/- 0.05 to 0.29 +/- 0.05 for milk yield, 0.20 +/- 0.05 to 0.30 +/- 0.08 for fat yield and 0.18 +/- 0.06 to 0.27 +/- 0.08 for protein yield. The estimates of the genetic correlations between the tests varied from 0.18 +/- 0.120 to 0.99 +/- 0.002; from 0.44 +/- 0.080 to 0.99 +/- 0.004; and from 0.41 +/- 0.080 to 0.99 +/- 0.004, for milk, fat and protein production, respectively, indicating that whatever the selection criterion used, indirect genetic gains can be expected throughout the lactation curve.en
dc.description.affiliationSão Paulo State Univ FCAV UNESP, Dept Anim Sci, BR-14884900 Jaboticabal, SP, Brazil
dc.description.affiliationConselho Nacl Desenvolvimento Cient & Tecnol CNPq, BR-36570000 Vicosa, MG, Brazil
dc.description.affiliationINCT CA, BR-36570000 Vicosa, MG, Brazil
dc.description.affiliationUnespSão Paulo State Univ FCAV UNESP, Dept Anim Sci, BR-14884900 Jaboticabal, SP, Brazil
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.format.extent272-279
dc.identifierhttp://dx.doi.org/10.1017/S0022029912000143
dc.identifier.citationJournal of Dairy Research. New York: Cambridge Univ Press, v. 79, n. 3, p. 272-279, 2012.
dc.identifier.doi10.1017/S0022029912000143
dc.identifier.fileWOS000307181600003.pdf
dc.identifier.issn0022-0299
dc.identifier.lattes7445254960858159
dc.identifier.lattes5866981114947883
dc.identifier.urihttp://hdl.handle.net/11449/4970
dc.identifier.wosWOS:000307181600003
dc.language.isoeng
dc.publisherCambridge University Press
dc.relation.ispartofJournal of Dairy Research
dc.relation.ispartofjcr1.170
dc.relation.ispartofsjr0,573
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectCovariance functionsen
dc.subjectHeritabilityen
dc.subjectLegendre polynomialsen
dc.titleGenetic parameters for test-day yield of milk, fat and protein in buffaloes estimated by random regression modelsen
dc.typeArtigo
dcterms.licensehttp://journals.cambridge.org/action/displaySpecialPage?pageId=4676#
dcterms.rightsHolderCambridge Univ Press
unesp.author.lattes7445254960858159
unesp.author.lattes5866981114947883
unesp.author.orcid0000-0002-2030-7590[5]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências Agrárias e Veterinárias, Jaboticabalpt
unesp.departmentZootecnia - FCAVpt

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Jaboticabal - FCAV - Faculdade de Ciências Agrárias e Veterinárias