Genetic parameter estimates for buffalo milk yield, milk quality and mozzarella production and Bayesian inference analysis of their relationships

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dc.contributor.authorAspilcueta-Borquis, R. R. [UNESP]
dc.contributor.authorDi Palo, R.
dc.contributor.authorAraujo Neto, F. R. [UNESP]
dc.contributor.authorBaldi, Fernando [UNESP]
dc.contributor.authorCamargo, G. M. F. de [UNESP]
dc.contributor.authorAlbuquerque, Lucia Galvão de [UNESP]
dc.contributor.authorZicarelli, L.
dc.contributor.authorTonhati, Humberto [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversita' degli Studi di Napoli Federico II
dc.date.accessioned2014-05-20T13:18:24Z
dc.date.available2014-05-20T13:18:24Z
dc.date.issued2010-01-01
dc.description.abstractBuffalo milk has excellent physical and chemical qualities as a consequence of the high percentage of constituents. This milk property is desirable for the dairy industry because it facilitates manufacture of mozzarella cheese. We estimated genetic parameters for milk yield, milk fat and protein and their effects on mozzarella cheese production using Bayesian inference. Using information from 4907 lactation records of buffaloes, genetic and non-genetic parameters were estimated for accumulated 305-day milk yield (MY), milk fat (%F) and protein (%P) percentages and mozzarella production per lactation (MP). The (co) variance components were obtained by Bayesian inference using a multiple trait model, which included as fixed effects contemporary group, milking number and buffalo age at calving as covariables (linear and quadratic), along with the additive genetic, permanent environmental and residual random effects. Mean a posteriori heritability distributions for MY, %F, %P, and MP were 0.25, 0.30, 0.38, and 0.23, respectively. The genetic correlation estimates between MY with %P and %F were negative and moderate. Positive genetic correlation estimates varying from 0.19 (%P/MP) to 0.95 (MY/MP) were obtained among the traits. Milk yield, milk components, and mozzarella production in Murrah buffaloes have enough genetic variation for selection purposes. We conclude that selection to increase milk yield would be effective in improving mozzarella production.en
dc.description.affiliationUniv Estadual Paulista, Dept Zootecnia, Fac Ciencias Agr & Vet, São Paulo, Brazil
dc.description.affiliationUniv Naples Federico 2, Naples, Italy
dc.description.affiliationUnespUniv Estadual Paulista, Dept Zootecnia, Fac Ciencias Agr & Vet, São Paulo, Brazil
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.format.extent1636-1644
dc.identifierhttp://dx.doi.org/10.4238/vol9-3gmr846
dc.identifier.citationGenetics and Molecular Research. Ribeirao Preto: Funpec-editora, v. 9, n. 3, p. 1636-1644, 2010.
dc.identifier.doi10.4238/vol9-3gmr846
dc.identifier.fileWOS000282756600021.pdf
dc.identifier.issn1676-5680
dc.identifier.lattes7445254960858159
dc.identifier.lattes5866981114947883
dc.identifier.urihttp://hdl.handle.net/11449/4496
dc.identifier.wosWOS:000282756600021
dc.language.isoeng
dc.publisherFunpec-editora
dc.relation.ispartofGenetics and Molecular Research
dc.relation.ispartofsjr0,439
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectBubalus bubalisen
dc.subjectMilk compositionen
dc.subjectGibbs analysesen
dc.titleGenetic parameter estimates for buffalo milk yield, milk quality and mozzarella production and Bayesian inference analysis of their relationshipsen
dc.typeArtigo
dcterms.licensehttp://www.geneticsmr.com/node/2
dcterms.rightsHolderFunpec-editora
unesp.author.lattes7445254960858159
unesp.author.lattes5866981114947883[6]
unesp.author.orcid0000-0002-2030-7590[6]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências Agrárias e Veterinárias, Jaboticabalpt

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Artigos - Zootecnia - FCAV