Zero-inflated beta regression model for leaf citrus canker incidence in orange genotypes grafted onto different rootstocks

Autores

  • Oilson Alberto Gonzatto Junior Universidade Estadual de Maringá - UEM Programa de Mestrado em Bioestatística Autor
  • Terezinha Aparecida Guedes Universidade Estadual de Maringá Autor
  • Aline Maria Orbolato Gonçalves-Zuliane Centro Universitário de Maringá Autor
  • William Mario de Carvalho Nunes Universidade Estadual de Maringá Autor

DOI:

https://doi.org/10.4025/actascibiolsci.v39i2.33063

Palavras-chave:

GAMLSS models, inflated models, odds ratio, Citrus sinensis, Xanthomonas citri subsp. citri.

Resumo

Data with excess zeros are frequently found in practice, and the recommended analysis is to use models that adequately address the counting of zero observations. In this study, the Zero Inflated Beta Regression Model (BeZI) was used on experimental data to describe the mean incidence of leaf citrus canker in orange groves under the influence of genotype and rootstocks of origin. Based on the model, it was possible to quantify the odds that a null observation to mean incidence comes from a particular plant according to genotype and rootstock, and estimate its expected value according to this combination. Laranja Caipira rootstock proved to be the most resistant to leaf citrus canker as well as Limão Cravo proved to be the most fragile. The Ipiguá IAC, Arapongas, EEL and Olímpia genotypes have statistically equivalent chances.

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Biografia do Autor

  • Aline Maria Orbolato Gonçalves-Zuliane, Centro Universitário de Maringá

    Professora do Departamento de Agronomia

    Faculdade Ingá

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Publicado

2017-06-16

Edição

Seção

Biotecnologia

Como Citar

Zero-inflated beta regression model for leaf citrus canker incidence in orange genotypes grafted onto different rootstocks. (2017). Acta Scientiarum. Biological Sciences, 39(2), 161-171. https://doi.org/10.4025/actascibiolsci.v39i2.33063

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