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A new way to measure milk yield persistency: a genetic point of view with application to Gyr (Bos indicus) cattle

dc.contributor.authorPereira, Rodrigo Junqueira [UNESP]
dc.contributor.authorAyres, Denise Rocha [UNESP]
dc.contributor.authorEl Faro, Lenira
dc.contributor.authorVercesi Filho, Anibal Eugenio
dc.contributor.authorVerneque, Rui da Silva
dc.contributor.authorAlbuquerque, Lucia Galvao de [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Federal de Mato Grosso do Sul (UFMS)
dc.contributor.institutionInst Zootecnia
dc.contributor.institutionEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
dc.date.accessioned2018-11-26T16:17:29Z
dc.date.available2018-11-26T16:17:29Z
dc.date.issued2015-11-01
dc.description.abstractThe objective of this work was to estimate genetic parameters for a measure of persistency of milk yield and to evaluate its association with 305-d cumulative milk yield and lactation length. 12 346 records from 8202 dairy Gyr cows including lactations up to fifth calving were used. The measure of persistency was obtained from one of the parameters of a quadratic model that describes the cumulative yield across lactation as a function of days in milk. A three-trait multivariate analysis was done. Heritability and repeatability for persistency were 008 and 021, respectively. Deviance Information Criterion provided evidence that the additive genetic covariance between the measure of persistency studied and 305-d cumulative yield is zero. Genetic correlations between persistency and lactation length were 050 and 027 for first or all lactations, respectively. Milk yield persistency as measured in this study has low heritability. Selection for persistency can increase lactation length. The measure of milk yield persistency studied here is genetically independent of total milk yield and can be included in routine genetic evaluations of dairy cattle.en
dc.description.affiliationUniv Estadual Paulista, Fac Ciencias Agr & Vet, Dept Zootecnia, BR-14870000 Jaboticabal, SP, Brazil
dc.description.affiliationUniv Fed Mato Grosso, Inst Ciencias Agr & Tecnol, Grp Melhoramento Anim Mato Grosso GMAT, BR-78735001 Cuiaba, MT, Brazil
dc.description.affiliationInst Zootecnia, BR-14160900 Sertaozinho, SP, Brazil
dc.description.affiliationEmbrapa Gado Leite, BR-36038330 Juiz De Fora, MG, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Fac Ciencias Agr & Vet, Dept Zootecnia, BR-14870000 Jaboticabal, SP, Brazil
dc.format.extent385-390
dc.identifierhttp://dx.doi.org/10.1017/S0022029915000448
dc.identifier.citationJournal Of Dairy Research. New York: Cambridge Univ Press, v. 82, n. 4, p. 385-390, 2015.
dc.identifier.doi10.1017/S0022029915000448
dc.identifier.fileWOS000364949200001.pdf
dc.identifier.issn0022-0299
dc.identifier.urihttp://hdl.handle.net/11449/160979
dc.identifier.wosWOS:000364949200001
dc.language.isoeng
dc.publisherCambridge Univ Press
dc.relation.ispartofJournal Of Dairy Research
dc.relation.ispartofsjr0,573
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectBayesian inference
dc.subjectdairy cattle
dc.subjectgenetic parameters
dc.subjectpersistency
dc.titleA new way to measure milk yield persistency: a genetic point of view with application to Gyr (Bos indicus) cattleen
dc.typeArtigo
dcterms.licensehttp://journals.cambridge.org/action/displaySpecialPage?pageId=4676
dcterms.rightsHolderCambridge Univ Press
dspace.entity.typePublication
unesp.author.orcid0000-0002-1508-4097[3]
unesp.departmentZootecnia - FCAVpt

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