A longitudinal study of sweet orange flowering with grouped count data

Detalhes bibliográficos
Autor(a) principal: Lara, Idemauro Antonio Rodrigues de
Data de Publicação: 2020
Outros Autores: Taconeli, Cesar Augusto, Moral, Rafael de Andrade, Hinde, John, Voigt, Vanessa, Freitas, Silvia Maria de
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/43734
Resumo: The orange variety “x11”, which is a spontaneous mutant of the sweet orange, has a short juvenile period with early flowering. The data used in this paper are from a randomized design experiment that aimed to assess the plants' flowering characteristics when grafted onto two different varieties of lemon rootstock. The plants were pruned in each of the four seasons, and on each pruning occasion, the number of branches on each plant was counted and classified into four mutually exclusive flowering categories. The data presented large variability and many zeros. The statistical analysis included the use of generalized linear mixed models with a Bayesian approach. The results showed that flowering is not equal over the seasons, i.e., there are significant differences in the classification of the branches across the four seasons and the two varieties, with interactions between seasonal and branch effects.  
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spelling A longitudinal study of sweet orange flowering with grouped count dataA longitudinal study of sweet orange flowering with grouped count datacitrusdiscrete datamixed modelBayesian analysisProbabilidade e Estatística AplicadasCitrus; discrete data; mixed model; Bayesian analysis.The orange variety “x11”, which is a spontaneous mutant of the sweet orange, has a short juvenile period with early flowering. The data used in this paper are from a randomized design experiment that aimed to assess the plants' flowering characteristics when grafted onto two different varieties of lemon rootstock. The plants were pruned in each of the four seasons, and on each pruning occasion, the number of branches on each plant was counted and classified into four mutually exclusive flowering categories. The data presented large variability and many zeros. The statistical analysis included the use of generalized linear mixed models with a Bayesian approach. The results showed that flowering is not equal over the seasons, i.e., there are significant differences in the classification of the branches across the four seasons and the two varieties, with interactions between seasonal and branch effects.  Universidade Estadual de Maringá2020-05-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAnálise Estatísticaapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/4373410.4025/actasciagron.v42i1.43734Acta Scientiarum. Agronomy; Vol 42 (2020): Publicação contínua; e43734Acta Scientiarum. Agronomy; v. 42 (2020): Publicação contínua; e437341807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/43734/751375150091Copyright (c) 2020 Acta Scientiarum. Agronomyhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessLara, Idemauro Antonio Rodrigues de Taconeli, Cesar AugustoMoral, Rafael de Andrade Hinde, JohnVoigt, Vanessa Freitas, Silvia Maria de2020-11-16T18:51:02Zoai:periodicos.uem.br/ojs:article/43734Revistahttp://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:2020-11-16T18:51:02Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv A longitudinal study of sweet orange flowering with grouped count data
A longitudinal study of sweet orange flowering with grouped count data
title A longitudinal study of sweet orange flowering with grouped count data
spellingShingle A longitudinal study of sweet orange flowering with grouped count data
Lara, Idemauro Antonio Rodrigues de
citrus
discrete data
mixed model
Bayesian analysis
Probabilidade e Estatística Aplicadas
Citrus; discrete data; mixed model; Bayesian analysis.
title_short A longitudinal study of sweet orange flowering with grouped count data
title_full A longitudinal study of sweet orange flowering with grouped count data
title_fullStr A longitudinal study of sweet orange flowering with grouped count data
title_full_unstemmed A longitudinal study of sweet orange flowering with grouped count data
title_sort A longitudinal study of sweet orange flowering with grouped count data
author Lara, Idemauro Antonio Rodrigues de
author_facet Lara, Idemauro Antonio Rodrigues de
Taconeli, Cesar Augusto
Moral, Rafael de Andrade
Hinde, John
Voigt, Vanessa
Freitas, Silvia Maria de
author_role author
author2 Taconeli, Cesar Augusto
Moral, Rafael de Andrade
Hinde, John
Voigt, Vanessa
Freitas, Silvia Maria de
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Lara, Idemauro Antonio Rodrigues de
Taconeli, Cesar Augusto
Moral, Rafael de Andrade
Hinde, John
Voigt, Vanessa
Freitas, Silvia Maria de
dc.subject.por.fl_str_mv citrus
discrete data
mixed model
Bayesian analysis
Probabilidade e Estatística Aplicadas
Citrus; discrete data; mixed model; Bayesian analysis.
topic citrus
discrete data
mixed model
Bayesian analysis
Probabilidade e Estatística Aplicadas
Citrus; discrete data; mixed model; Bayesian analysis.
description The orange variety “x11”, which is a spontaneous mutant of the sweet orange, has a short juvenile period with early flowering. The data used in this paper are from a randomized design experiment that aimed to assess the plants' flowering characteristics when grafted onto two different varieties of lemon rootstock. The plants were pruned in each of the four seasons, and on each pruning occasion, the number of branches on each plant was counted and classified into four mutually exclusive flowering categories. The data presented large variability and many zeros. The statistical analysis included the use of generalized linear mixed models with a Bayesian approach. The results showed that flowering is not equal over the seasons, i.e., there are significant differences in the classification of the branches across the four seasons and the two varieties, with interactions between seasonal and branch effects.  
publishDate 2020
dc.date.none.fl_str_mv 2020-05-27
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Análise Estatística
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/43734
10.4025/actasciagron.v42i1.43734
url http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/43734
identifier_str_mv 10.4025/actasciagron.v42i1.43734
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/43734/751375150091
dc.rights.driver.fl_str_mv Copyright (c) 2020 Acta Scientiarum. Agronomy
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Acta Scientiarum. Agronomy
https://creativecommons.org/licenses/by/4.0
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 42 (2020): Publicação contínua; e43734
Acta Scientiarum. Agronomy; v. 42 (2020): Publicação contínua; e43734
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
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