Modeling citrus huanglongbing data using a zero-inflated negative binomial distribution
Autor(a) principal: | |
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Data de Publicação: | 2016 |
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/28689 |
Resumo: | 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 HLB. The application of insecticides on a calendar basis or during new foliage flushes resulted in a three times larger probability of developing HLB compared with applying insecticides only when the vector was detected. |
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Acta Scientiarum. Agronomy (Online) |
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Modeling citrus huanglongbing data using a zero-inflated negative binomial distributionmixed modelrandom effectBLUP methodEM algorithm1.02.03.00-15.01.02.00-1Zero-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 HLB. The application of insecticides on a calendar basis or during new foliage flushes resulted in a three times larger probability of developing HLB compared with applying insecticides only when the vector was detected. Universidade Estadual de Maringá2016-06-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/2868910.4025/actasciagron.v38i3.28689Acta Scientiarum. Agronomy; Vol 38 No 3 (2016); 299-306Acta Scientiarum. Agronomy; v. 38 n. 3 (2016); 299-3061807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/28689/pdfAlmeida, Eudmar Paiva deJaneiro, VanderlyGuedes, Terezinha AparecidaMulati, FabioCarneiro, José Walter PedrozaNunes, Willian Mario de Carvalhoinfo:eu-repo/semantics/openAccess2022-02-16T21:48:02Zoai:periodicos.uem.br/ojs:article/28689Revistahttp://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:2022-02-16T21:48:02Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
Modeling citrus huanglongbing data using a zero-inflated negative binomial distribution |
title |
Modeling citrus huanglongbing data using a zero-inflated negative binomial distribution |
spellingShingle |
Modeling citrus huanglongbing data using a zero-inflated negative binomial distribution Almeida, Eudmar Paiva de mixed model random effect BLUP method EM algorithm 1.02.03.00-1 5.01.02.00-1 |
title_short |
Modeling citrus huanglongbing data using a zero-inflated negative binomial distribution |
title_full |
Modeling citrus huanglongbing data using a zero-inflated negative binomial distribution |
title_fullStr |
Modeling citrus huanglongbing data using a zero-inflated negative binomial distribution |
title_full_unstemmed |
Modeling citrus huanglongbing data using a zero-inflated negative binomial distribution |
title_sort |
Modeling citrus huanglongbing data using a zero-inflated negative binomial distribution |
author |
Almeida, Eudmar Paiva de |
author_facet |
Almeida, Eudmar Paiva de Janeiro, Vanderly Guedes, Terezinha Aparecida Mulati, Fabio Carneiro, José Walter Pedroza Nunes, Willian Mario de Carvalho |
author_role |
author |
author2 |
Janeiro, Vanderly Guedes, Terezinha Aparecida Mulati, Fabio Carneiro, José Walter Pedroza Nunes, Willian Mario de Carvalho |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Almeida, Eudmar Paiva de Janeiro, Vanderly Guedes, Terezinha Aparecida Mulati, Fabio Carneiro, José Walter Pedroza Nunes, Willian Mario de Carvalho |
dc.subject.por.fl_str_mv |
mixed model random effect BLUP method EM algorithm 1.02.03.00-1 5.01.02.00-1 |
topic |
mixed model random effect BLUP method EM algorithm 1.02.03.00-1 5.01.02.00-1 |
description |
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 HLB. The application of insecticides on a calendar basis or during new foliage flushes resulted in a three times larger probability of developing HLB compared with applying insecticides only when the vector was detected. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-06-24 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/28689 10.4025/actasciagron.v38i3.28689 |
url |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/28689 |
identifier_str_mv |
10.4025/actasciagron.v38i3.28689 |
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/28689/pdf |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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 38 No 3 (2016); 299-306 Acta Scientiarum. Agronomy; v. 38 n. 3 (2016); 299-306 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_ |
1799305909457911808 |