Consulta: creatorFacets:"Gonçalves-Zuliane, Aline Maria Orbolato"
Registros recuperados: 2
Data/hora: 13/06/2024 07:29:27

Modeling the incidence of citrus canker in leaves of the sweet orange variety ‘Pera’
Provedor de dados: 1
Autores: Pompeu, Danielle da Silva; Guedes, Terezinha Aparecida; Janeiro, Vanderly; Gonçalves-Zuliane, Aline Maria Orbolato; Nunes, William Mario de Carvalho; Carneiro, José Walter Pedroza.
Citrus canker, caused by the bacterium Xanthomonas citri subsp. citri, is one of the most important diseases of citrus. The use of resistant genotypes plays an important role in the management and control of the disease and is the most environmentally sustainable approach to disease control. Citrus canker incidence was recorded in an experiment on nine genotypes of the sweet orange variety ‘Pera’ grafted on four rootstocks. The experiment was started in 2010 and the incidence of citrus canker on the leaves was recorded on a quarterly basis. The incidence data from the experiment were analyzed using a zero-inflated Beta regression model (RBIZ), which is the appropriate method to describe data with large numbers of zeros. Based on the residual analysis, the...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: 5.00.00.00-4; 5.01.02.00-1; 1.00.00.00-3; 1.02.03.00-1 zero-inflated Beta distribution; Mixture models; Inflated Beta regression model; Modeling proportions Fitossanidade; Probabilidade e Estatística Aplicadas.
Ano: 2017
URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/28535

Zero-inflated beta regression model for leaf citrus canker incidence in orange genotypes grafted onto different rootstocks
Provedor de dados: 3
Autores: Gonzatto Junior, Oilson Alberto; Guedes, Terezinha Aparecida; Gonçalves-Zuliane, Aline Maria Orbolato; Nunes, William Mario de Carvalho.
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,...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: 1.02.03.00-1 GAMLSS models; Inflated models; Odds ratio; Citrus sinensis; Xanthomonas citri subsp. citri. Probabilidade e Estatística Aplicadas.
Ano: 2017
URL: http://periodicos.uem.br/ojs/index.php/ActaSciBiolSci/article/view/33063