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Genetic parameter estimates for prenatal and postnatal mortality in Nellore cattle

dc.contributor.authorMagalhães Silva, L. C. [UNESP]
dc.contributor.authorBaldi, F. [UNESP]
dc.contributor.authorAboujaoude, C. [UNESP]
dc.contributor.authorVenturini, G. C. [UNESP]
dc.contributor.authorAlbuquerque, L. G. [UNESP]
dc.contributor.authorParanhos da Costa, M. J.R. [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.date.accessioned2018-12-11T17:08:21Z
dc.date.available2018-12-11T17:08:21Z
dc.date.issued2017-02-01
dc.description.abstractThe aim of this study was to estimate genetic parameters for prenatal (PRE) and postnatal (POS) mortality in Nellore cattle. A total of 13 141 (PRE) and 17 818 (POS) records from Nellore females were used. PRE and POS were recorded using binary scale scores: a score of ‘1’ was given to calves that were born alive (PRE) and those that were alive at weaning (POS), and a score of ‘0’ was given to calves that were not alive at or around birth (PRE), as well as to those weighed at birth but not at weaning (POS). The relationship matrix included 698 sires, 107 paternal grandsires and 69 maternal grandsires. Data were analysed using Bayesian inference and a sire–maternal grandsire threshold model, including contemporary groups as random effects, and the classes of dam age at the beginning of mating season (for PRE), and dam age at calving and birthweight (linear covariable) (for POS), as fixed effects. For both traits, the covariance between direct and maternal effects (rD ,M) was estimated (rD ,M≠ 0) or fixed at zero (rD ,M = 0). PRE and POS rates were 3.00 and 4.04%, respectively. Estimates of direct and maternal heritability were 0.07 and 0.17, respectively, for PRE, and 0.02 and 0.07, respectively, for POS, assuming rD ,M = 0. For rD ,M ≠ 0, these estimates were 0.07 and 0.12, respectively, for PRE, and 0.03 and 0.07, respectively, for POS. The correlation estimates between direct and maternal effects were −0.71 (PRE) and −0.33 (POS). PRE and POS show low genetic variability, indicating that these traits probably suffer major environmental influences. Additionally, our study shows that the maternal genetic component affects preweaning calf mortality twice as much (or more) as the direct genetic component. A large number of offspring per sire is necessary in progeny tests to genetically decrease calf mortality.en
dc.description.affiliationDepartamento de Zootecnia Faculdade de Ciências Agrárias e Veterinárias UNESP
dc.description.affiliationPrograma de Pós-Graduação em Genética e Melhoramento Animal Faculdade de Ciências Agrárias e Veterinárias UNESP
dc.description.affiliationConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.affiliationUnespDepartamento de Zootecnia Faculdade de Ciências Agrárias e Veterinárias UNESP
dc.description.affiliationUnespPrograma de Pós-Graduação em Genética e Melhoramento Animal Faculdade de Ciências Agrárias e Veterinárias UNESP
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.format.extent27-33
dc.identifierhttp://dx.doi.org/10.1111/jbg.12246
dc.identifier.citationJournal of Animal Breeding and Genetics, v. 134, n. 1, p. 27-33, 2017.
dc.identifier.doi10.1111/jbg.12246
dc.identifier.issn1439-0388
dc.identifier.issn0931-2668
dc.identifier.scopus2-s2.0-85006136278
dc.identifier.urihttp://hdl.handle.net/11449/173922
dc.language.isoeng
dc.relation.ispartofJournal of Animal Breeding and Genetics
dc.relation.ispartofsjr0,804
dc.relation.ispartofsjr0,804
dc.rights.accessRightsAcesso restrito
dc.sourceScopus
dc.subjectBeef cattle
dc.subjectcalf survival
dc.subjectcorrelations
dc.subjectheritability
dc.subjectthreshold model
dc.titleGenetic parameter estimates for prenatal and postnatal mortality in Nellore cattleen
dc.typeArtigo
dspace.entity.typePublication
unesp.departmentZootecnia - FCAVpt

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