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Zero-inflated Poisson regression models for QTL mapping applied to tick-resistance in a Gyr x Holstein F2 population

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dc.contributor.author Silva, Fabyano Fonseca
dc.contributor.author Tunin, Karen P.
dc.contributor.author Rosa, Guilherme J.M.
dc.contributor.author Silva, Marcos V.B. da
dc.contributor.author Azevedo, Ana Luisa Souza
dc.contributor.author Verneque, Rui da Silva
dc.contributor.author Machado, Marco Antonio
dc.contributor.author Packer, Irineu Umberto
dc.date.accessioned 2017-11-08T12:50:06Z
dc.date.available 2017-11-08T12:50:06Z
dc.date.issued 2011-10-28
dc.identifier.issn 1415-4757
dc.identifier.uri http://dx.doi.org/10.1590/S1415-47572011005000049
dc.identifier.uri http://www.locus.ufv.br/handle/123456789/12889
dc.description.abstract Nowadays, an important and interesting alternative in the control of tick-infestation in cattle is to select resistant animals, and identify the respective quantitative trait loci (QTLs) and DNA markers, for posterior use in breeding programs. The number of ticks/animal is characterized as a discrete-counting trait, which could potentially follow Poisson distribution. However, in the case of an excess of zeros, due to the occurrence of several noninfected animals, zero-inflated Poisson and generalized zero-inflated distribution (GZIP) may provide a better description of the data. Thus, the objective here was to compare through simulation, Poisson and ZIP models (simple and generalized) with classical approaches, for QTL mapping with counting phenotypes under different scenarios, and to apply these approaches to a QTL study of tick resistance in an F2 cattle (Gyr x Holstein) population. It was concluded that, when working with zero-inflated data, it is recommendable to use the generalized and simple ZIP model for analysis. On the other hand, when working with data with zeros, but not zero-inflated, the Poisson model or a data-transformation-approach, such as square-root or Box-Cox transformation, are applicable. en
dc.format pdf pt-BR
dc.language.iso eng pt-BR
dc.publisher Genetics and Molecular Biology pt-BR
dc.relation.ispartofseries vol. 34, n. 4, p. 575-581, Oct. 2011 pt-BR
dc.rights Open Access pt-BR
dc.subject Dairy cattle pt-BR
dc.subject Tick infestation pt-BR
dc.subject QTL regression pt-BR
dc.subject Generalized linear model pt-BR
dc.title Zero-inflated Poisson regression models for QTL mapping applied to tick-resistance in a Gyr x Holstein F2 population en
dc.type Artigo pt-BR


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  • Artigos [94]
    Artigos Técnico-científicos na área de Estatística

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