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

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

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

Publicado
2017-06-16
Como Citar
Gonzatto Junior, O. A., Guedes, T. A., Gonçalves-Zuliane, A. M. O., & Nunes, W. M. de C. (2017). <b&gt;Zero-inflated beta regression model for leaf citrus canker incidence in orange genotypes grafted onto different rootstocks. Acta Scientiarum. Biological Sciences, 39(2), 161-171. https://doi.org/10.4025/actascibiolsci.v39i2.33063
Seção
Biotecnologia

 

0.6
2019CiteScore
 
 
31st percentile
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0.6
2019CiteScore
 
 
31st percentile
Powered by  Scopus