Linear and Poisson models for genetic evaluation of tick resistance in cross-bred Hereford x Nellore cattle

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dc.contributor.authorAyres, D. R.
dc.contributor.authorPereira, R. J.
dc.contributor.authorBoligon, A. A.
dc.contributor.authorSilva, F.F.
dc.contributor.authorSchenkel, F. S.
dc.contributor.authorRoso, V. M.
dc.contributor.authorAlbuquerque, L. G.
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Federal de Viçosa (UFV)
dc.date.accessioned2014-05-27T11:28:55Z
dc.date.available2014-05-27T11:28:55Z
dc.date.issued2013-04-15
dc.description.abstractCattle resistance to ticks is measured by the number of ticks infesting the animal. The model used for the genetic analysis of cattle resistance to ticks frequently requires logarithmic transformation of the observations. The objective of this study was to evaluate the predictive ability and goodness of fit of different models for the analysis of this trait in cross-bred Hereford x Nellore cattle. Three models were tested: a linear model using logarithmic transformation of the observations (MLOG); a linear model without transformation of the observations (MLIN); and a generalized linear Poisson model with residual term (MPOI). All models included the classificatory effects of contemporary group and genetic group and the covariates age of animal at the time of recording and individual heterozygosis, as well as additive genetic effects as random effects. Heritability estimates were 0.08 ± 0.02, 0.10 ± 0.02 and 0.14 ± 0.04 for MLIN, MLOG and MPOI models, respectively. The model fit quality, verified by deviance information criterion (DIC) and residual mean square, indicated fit superiority of MPOI model. The predictive ability of the models was compared by validation test in independent sample. The MPOI model was slightly superior in terms of goodness of fit and predictive ability, whereas the correlations between observed and predicted tick counts were practically the same for all models. A higher rank correlation between breeding values was observed between models MLOG and MPOI. Poisson model can be used for the selection of tick-resistant animals. © 2013 Blackwell Verlag GmbH.en
dc.identifierhttp://dx.doi.org/10.1111/jbg.12036
dc.identifier.citationJournal of Animal Breeding and Genetics.
dc.identifier.doi10.1111/jbg.12036
dc.identifier.issn0931-2668
dc.identifier.issn1439-0388
dc.identifier.scopus2-s2.0-84875962614
dc.identifier.urihttp://hdl.handle.net/11449/75116
dc.identifier.wosWOS:000330131700002
dc.language.isoeng
dc.relation.ispartofJournal of Animal Breeding and Genetics
dc.relation.ispartofjcr1.941
dc.relation.ispartofsjr0,804
dc.relation.ispartofsjr0,804
dc.rights.accessRightsAcesso restrito
dc.sourceScopus
dc.subjectGeneralized linear model
dc.subjectModel comparison
dc.subjectValidation test
dc.titleLinear and Poisson models for genetic evaluation of tick resistance in cross-bred Hereford x Nellore cattleen
dc.typeArtigo
dcterms.licensehttp://olabout.wiley.com/WileyCDA/Section/id-406071.html
unesp.author.orcid0000-0002-2030-7590[7]

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