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Modeling citrus huanglongbing data using a zero-inflated negative binomial distribution Agronomy
Almeida, Eudmar Paiva de; Janeiro, Vanderly; Guedes, Terezinha Aparecida; Mulati, Fabio; Carneiro, José Walter Pedroza; Nunes, Willian Mario de Carvalho.
Zero-inflated data from field experiments can be problematic, as these data require the use of specific statistical models during the analysis process. This study utilized the zero-inflated negative binomial (ZINB) model with the log- and logistic-link functions to describe the incidence of plants with Huanglongbing (HLB, caused by Candidatus liberibacter spp.) in commercial citrus orchards in the Northwestern Parana State, Brazil. Each orchard was evaluated at different times. The ZINB model with random effects in both link functions provided the best fit, as the inclusion of these effects accounted for variations between orchards and the numbers of diseased plants. The results of this model show that older plants exhibit a lower probability of acquiring...
Tipo: Info:eu-repo/semantics/article Palavras-chave: 1.02.00.00-2; 5.00.00.00-4 mixed model; Random effect; BLUP method; EM algorithm 1.02.03.00-1; 5.01.02.00-1.
Ano: 2016 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/28689
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Modeling the incidence of citrus canker in leaves of the sweet orange variety ‘Pera’ Agronomy
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
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Stevia rebaudiana (Bert) Bertoni: influence of osmotic stress and seed priming on seed germination under laboratory conditions Agronomy
Hossa, Keila Regina; Pedroza Carneiro, José Walter; Guedes, Terezinha Aparecida; Braccini, Alessandro Lucca.
 The foremost factor necessary for plant growers cultivating large acreages of Stevia rebaudiana (Bert) Bertoni is the production of qualitative bedding plants. The objective of this study was to evaluate the influence of osmotic-priming on the uniformity of seed germination. First, we evaluated the percentage of normal seedlings from two seed samples harvested in 2011 and 2012. The seeds harvested in 2012 produced 71.4% normal seedlings and thus they were used in the next experiments. The seeds were subjected to osmotic stress using five concentrations of polyethylene glycol (PEG-6000) at -0.2, -0.4, -0.6, -0.8, and -1.0 MPa in contrast with distilled water. Based on these first results, only -0.8 and -1.0 MPa were evaluated in the third experiment. The...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Osmotic priming; Radicle protrusion; Time to seed germination; Sweeteners.
Ano: 2017 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/32951
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Stevia rebaudiana (Bert) Bertoni: regression models with mixed effects for investigating seed germination data Agronomy
Pereira, Edilenia Queiroz; Janeiro, Vanderly; Guedes, Terezinha Aparecida; Carneiro, José Walter Pedroza.
We investigated regression models with mixed effects using generalized linear statistics to evaluate germination data from Stevia rebaudiana (Bert) Bertoni. Estimates and validation of statistical parameters were conducted using the “gamlss” package in the R software. Generalized linear mixed effects followed the binomial, the beta-binomial and the multinomial distribution with the logit link to explain data based on the following explanatory variables: seed germinator, plastic tray position on every tier of shelves, illuminance conditions (light and darkness) and seed lots. We did not find differences in proportional responses from seed germinators, but we did find differences in the illuminance conditions, plastic tray position on the tiers of shelves in...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Binomial; Beta-binomial; Multinomial; Gamlss; Mixed effects. Estatistica aplicada.
Ano: 2018 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/39609
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Stevia rebaudiana (Bert) Bertoni: regression models with mixed effects for investigating seed germination data Agronomy
Pereira, Edilenia Queiroz; Janeiro, Vanderly; Guedes, Terezinha Aparecida; Carneiro, José Walter Pedroza.
We investigated regression models with mixed effects using generalized linear statistics to evaluate germination data from Stevia rebaudiana (Bert) Bertoni. Estimates and validation of statistical parameters were conducted using the “gamlss” package in the R software. Generalized linear mixed effects followed the binomial, the beta-binomial and the multinomial distribution with the logit link to explain data based on the following explanatory variables: seed germinator, plastic tray position on every tier of shelves, illuminance conditions (light and darkness) and seed lots. We did not find differences in proportional responses from seed germinators, but we did find differences in the illuminance conditions, plastic tray position on the tiers of shelves in...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Binomial; Beta-binomial; Multinomial; Gamlss; Mixed effects.; Estatistica aplicada.
Ano: 2018 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/39609
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Zero-inflated beta regression model for leaf citrus canker incidence in orange genotypes grafted onto different rootstocks Biological Sciences
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
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