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Provedor de dados:  Biological Sciences
País:  Brazil
Título:  Zero-inflated beta regression model for leaf citrus canker incidence in orange genotypes grafted onto different rootstocks
Autores:  Gonzatto Junior, Oilson Alberto
Guedes, Terezinha Aparecida
Gonçalves-Zuliane, Aline Maria Orbolato
Nunes, William Mario de Carvalho
Data:  2017-06-16
Ano:  2017
Palavras-chave:  1.02.03.00-1 GAMLSS models
Inflated models
Odds ratio
Citrus sinensis
Xanthomonas citri subsp. citri. Probabilidade e Estatística Aplicadas
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.
Tipo:  Info:eu-repo/semantics/article
Idioma:  Inglês
Identificador:  http://periodicos.uem.br/ojs/index.php/ActaSciBiolSci/article/view/33063

10.4025/actascibiolsci.v39i2.33063
Editor:  Universidade Estadual De Maringá
Relação:  http://periodicos.uem.br/ojs/index.php/ActaSciBiolSci/article/view/33063/pdf
Formato:  application/pdf
Fonte:  Acta Scientiarum. Biological Sciences; v. 39, n. 2 (2017); 161-171

Acta Scientiarum. Biological Sciences; v. 39, n. 2 (2017); 161-171

1807-863X

1679-9283
Direitos:  Direitos autorais 2017 Acta Scientiarum. Biological Sciences
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