Comparative study of cattle tick resistance using generalized linear mixed models

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dc.contributor.authorMaiorano, Amanda Marchi [UNESP]
dc.contributor.authorMota, Thiago Santos [UNESP]
dc.contributor.authorVerdugo, Ana Carolina [UNESP]
dc.contributor.authorFaria, Ricardo Antonio da Silva [UNESP]
dc.contributor.authorda Silva, Beatriz Pressi Molina [UNESP]
dc.contributor.authorOliveira, Márcia Cristina de Sena
dc.contributor.authorCyrillo, Joslaine Noely dos Santos Gonçalves
dc.contributor.authorSilva, Josineudson Augusto II de Vasconcelos [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
dc.contributor.institutionInstituto de Zootecnia - IZ
dc.date.accessioned2023-07-29T13:32:42Z
dc.date.available2023-07-29T13:32:42Z
dc.date.issued2019-01-01
dc.description.abstractComparison of tick resistance in Bos taurus indicus (Nelore) and Bos taurus taurus (Simmental and Caracu) subspecies was investigated utilizing generalized linear mixed models (GLMMs) with Poisson and Negative binomial distributions. Nelore animals (NE) are known to present greater resistance than B. t. taurus. Difference between tick resistance in Simmental (SI) and Caracu (CA) breeds has never been reported previously. Three artificial tick infestations were conducted to evaluate tick resistance in these breeds. The statistic point of the present study was to show alternative models for the evaluation of tick count data, the GLMMs. Analysis for tick resistance by GLMM with Negative binomial distribution has never been assessed previously. The analyses were performed by the use of the PROC GLIMMIX procedure of the SAS program. The results showed that GLMM with Negative binomial distribution is appropriated to evaluate tick count data with excess of zero observations avoiding overdispersion problems. Finally, considering multiple comparisons with the Bonferroni test, different pattern of tick infestation was observed for the studied breeds, suggesting that NE is the most resistant breed followed by CA.en
dc.description.affiliationUniversidade Estadual Paulista - UNESP Faculdade de Ciências Agrárias e Veterinárias Departamento de Zootecnia, SP
dc.description.affiliationUniversidade Estadual Paulista - UNESP Instituto de Biociências, SP
dc.description.affiliationUniversidade Estadual Paulista - UNESP Faculdade de Medicina Veterinária e Zootecnia Departamento de Melhoramento e Nutrição Animal, SP
dc.description.affiliationEmpresa Brasileira de Pesquisa Agropecuária - EMBRAPA, SP
dc.description.affiliationInstituto de Zootecnia - IZ, SP
dc.description.affiliationUnespUniversidade Estadual Paulista - UNESP Faculdade de Ciências Agrárias e Veterinárias Departamento de Zootecnia, SP
dc.description.affiliationUnespUniversidade Estadual Paulista - UNESP Instituto de Biociências, SP
dc.description.affiliationUnespUniversidade Estadual Paulista - UNESP Faculdade de Medicina Veterinária e Zootecnia Departamento de Melhoramento e Nutrição Animal, SP
dc.format.extent41-55
dc.identifierhttp://dx.doi.org/10.28951/rbb.v37i1.341
dc.identifier.citationRevista Brasileira de Biometria, v. 37, n. 1, p. 41-55, 2019.
dc.identifier.doi10.28951/rbb.v37i1.341
dc.identifier.issn1983-0823
dc.identifier.scopus2-s2.0-85144048486
dc.identifier.urihttp://hdl.handle.net/11449/248037
dc.language.isoeng
dc.relation.ispartofRevista Brasileira de Biometria
dc.sourceScopus
dc.subjectArtificial infestation
dc.subjectBos indicus
dc.subjectBos Taurus
dc.subjectSkin thickness
dc.subjectStatistical model
dc.subjectTick count
dc.titleComparative study of cattle tick resistance using generalized linear mixed modelsen
dc.typeArtigo
unesp.departmentZootecnia - FCAVpt

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Jaboticabal - FCAV - Faculdade de Ciências Agrárias e Veterinárias
Artigos - Melhoramento e Nutrição Animal - FMVZ