Modeling the incidence of citrus canker in leaves of the sweet orange variety ‘Pera’
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Acta Scientiarum. Agronomy (Online) |
Texto Completo: | http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/28535 |
Resumo: | 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 data fit the model well. The discrete component of the explanatory variable, rootstock, was not significant as a factor affecting the onset of disease, in contrast with the continuous component, genotype, which was significant in explaining the incidence of citrus canker. |
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Acta Scientiarum. Agronomy (Online) |
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Modeling the incidence of citrus canker in leaves of the sweet orange variety ‘Pera’zero-inflated Beta distributionmixture modelsinflated Beta regression modelmodeling proportionsFitossanidadeProbabilidade e Estatística AplicadasCitrus 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 data fit the model well. The discrete component of the explanatory variable, rootstock, was not significant as a factor affecting the onset of disease, in contrast with the continuous component, genotype, which was significant in explaining the incidence of citrus canker. Universidade Estadual de Maringá2017-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPesquisa Empírica de Campoapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/2853510.4025/actasciagron.v39i1.28535Acta Scientiarum. Agronomy; Vol 39 No 1 (2017); 1-8Acta Scientiarum. Agronomy; v. 39 n. 1 (2017); 1-81807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/28535/pdfCopyright (c) 2017 Acta Scientiarum. Agronomyinfo:eu-repo/semantics/openAccessPompeu, Danielle da SilvaGuedes, Terezinha AparecidaJaneiro, VanderlyGonçalves-Zuliane, Aline Maria OrbolatoNunes, William Mario de CarvalhoCarneiro, José Walter Pedroza2022-02-20T21:47:29Zoai:periodicos.uem.br/ojs:article/28535Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgronPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/oaiactaagron@uem.br||actaagron@uem.br|| edamasio@uem.br1807-86211679-9275opendoar:2022-02-20T21:47:29Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
Modeling the incidence of citrus canker in leaves of the sweet orange variety ‘Pera’ |
title |
Modeling the incidence of citrus canker in leaves of the sweet orange variety ‘Pera’ |
spellingShingle |
Modeling the incidence of citrus canker in leaves of the sweet orange variety ‘Pera’ Pompeu, Danielle da Silva zero-inflated Beta distribution mixture models inflated Beta regression model modeling proportions Fitossanidade Probabilidade e Estatística Aplicadas |
title_short |
Modeling the incidence of citrus canker in leaves of the sweet orange variety ‘Pera’ |
title_full |
Modeling the incidence of citrus canker in leaves of the sweet orange variety ‘Pera’ |
title_fullStr |
Modeling the incidence of citrus canker in leaves of the sweet orange variety ‘Pera’ |
title_full_unstemmed |
Modeling the incidence of citrus canker in leaves of the sweet orange variety ‘Pera’ |
title_sort |
Modeling the incidence of citrus canker in leaves of the sweet orange variety ‘Pera’ |
author |
Pompeu, Danielle da Silva |
author_facet |
Pompeu, Danielle da Silva Guedes, Terezinha Aparecida Janeiro, Vanderly Gonçalves-Zuliane, Aline Maria Orbolato Nunes, William Mario de Carvalho Carneiro, José Walter Pedroza |
author_role |
author |
author2 |
Guedes, Terezinha Aparecida Janeiro, Vanderly Gonçalves-Zuliane, Aline Maria Orbolato Nunes, William Mario de Carvalho Carneiro, José Walter Pedroza |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Pompeu, Danielle da Silva Guedes, Terezinha Aparecida Janeiro, Vanderly Gonçalves-Zuliane, Aline Maria Orbolato Nunes, William Mario de Carvalho Carneiro, José Walter Pedroza |
dc.subject.por.fl_str_mv |
zero-inflated Beta distribution mixture models inflated Beta regression model modeling proportions Fitossanidade Probabilidade e Estatística Aplicadas |
topic |
zero-inflated Beta distribution mixture models inflated Beta regression model modeling proportions Fitossanidade Probabilidade e Estatística Aplicadas |
description |
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 data fit the model well. The discrete component of the explanatory variable, rootstock, was not significant as a factor affecting the onset of disease, in contrast with the continuous component, genotype, which was significant in explaining the incidence of citrus canker. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Pesquisa Empírica de Campo |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/28535 10.4025/actasciagron.v39i1.28535 |
url |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/28535 |
identifier_str_mv |
10.4025/actasciagron.v39i1.28535 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/28535/pdf |
dc.rights.driver.fl_str_mv |
Copyright (c) 2017 Acta Scientiarum. Agronomy info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2017 Acta Scientiarum. Agronomy |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Estadual de Maringá |
publisher.none.fl_str_mv |
Universidade Estadual de Maringá |
dc.source.none.fl_str_mv |
Acta Scientiarum. Agronomy; Vol 39 No 1 (2017); 1-8 Acta Scientiarum. Agronomy; v. 39 n. 1 (2017); 1-8 1807-8621 1679-9275 reponame:Acta Scientiarum. Agronomy (Online) instname:Universidade Estadual de Maringá (UEM) instacron:UEM |
instname_str |
Universidade Estadual de Maringá (UEM) |
instacron_str |
UEM |
institution |
UEM |
reponame_str |
Acta Scientiarum. Agronomy (Online) |
collection |
Acta Scientiarum. Agronomy (Online) |
repository.name.fl_str_mv |
Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM) |
repository.mail.fl_str_mv |
actaagron@uem.br||actaagron@uem.br|| edamasio@uem.br |
_version_ |
1799305909450571776 |