Adaptability and stability assessment of bean cultivars of the carioca commercial group by a Bayesian approach

Detalhes bibliográficos
Autor(a) principal: Euzebio, Milena Pierotti
Data de Publicação: 2018
Outros Autores: Fonseca, Inês Cristina de Batista, Fonseca Júnior, Nelson da Silva, Nascimento, Moysés, Giordani, Willian, Gonçalves, Leandro Simões Azeredo
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/35272
Resumo:  To develop new bean commercial cultivars, a series of experiments called Value for Cultivation and Use (VCU) assays are necessary. Bayesian analysis using information on prior VCU trials is an alternative to obtain greater precision during genotype selection. The objective of the present work was to select, under a Bayesian perspective, genotypes of the carioca bean from the state of Paraná that combine high adaptability and phenotypic stability, using information from previous VCU assays. This study used data from six experiments conducted in a randomized block design, in which the grain yield of 18 genotypes was assayed. To represent weakly informative prior distributions, the study used probability distributions with high variance; to represent informative prior distributions, it adopted the meta-analysis concept used in prior VCU assays (2007/2008, 2008/2009, 2009/2010, 2010/2011, 2011/2012, 2012/2013, and 2013/2014). Bayesian inference provided greater precision in selecting carioca bean genotypes with high adaptability and phenotypical stability through the Eberhart and Russell method. The Bayes factor indicated that the use of a priori information gives more accurate results for genotype selection. According to the study, most genotypes are widely adaptable based on informative priors, except for the Bola Cheia cultivar, which has specific adaptability to favorable environments. 
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spelling Adaptability and stability assessment of bean cultivars of the carioca commercial group by a Bayesian approachPhaseolus vulgaris L.value for cultivation and useEberhart and RussellBayes factorinformative prior.Melhoramento de Plantas To develop new bean commercial cultivars, a series of experiments called Value for Cultivation and Use (VCU) assays are necessary. Bayesian analysis using information on prior VCU trials is an alternative to obtain greater precision during genotype selection. The objective of the present work was to select, under a Bayesian perspective, genotypes of the carioca bean from the state of Paraná that combine high adaptability and phenotypic stability, using information from previous VCU assays. This study used data from six experiments conducted in a randomized block design, in which the grain yield of 18 genotypes was assayed. To represent weakly informative prior distributions, the study used probability distributions with high variance; to represent informative prior distributions, it adopted the meta-analysis concept used in prior VCU assays (2007/2008, 2008/2009, 2009/2010, 2010/2011, 2011/2012, 2012/2013, and 2013/2014). Bayesian inference provided greater precision in selecting carioca bean genotypes with high adaptability and phenotypical stability through the Eberhart and Russell method. The Bayes factor indicated that the use of a priori information gives more accurate results for genotype selection. According to the study, most genotypes are widely adaptable based on informative priors, except for the Bola Cheia cultivar, which has specific adaptability to favorable environments. Universidade Estadual de Maringá2018-05-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/3527210.4025/actasciagron.v40i1.35272Acta Scientiarum. Agronomy; Vol 40 (2018): Publicação Contínua; e35272Acta Scientiarum. Agronomy; v. 40 (2018): Publicação Contínua; e352721807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/35272/pdfCopyright (c) 2018 Acta Scientiarum. Agronomyinfo:eu-repo/semantics/openAccessEuzebio, Milena PierottiFonseca, Inês Cristina de BatistaFonseca Júnior, Nelson da SilvaNascimento, MoysésGiordani, WillianGonçalves, Leandro Simões Azeredo2019-09-24T12:26:47Zoai:periodicos.uem.br/ojs:article/35272Revistahttp://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:2019-09-24T12:26:47Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Adaptability and stability assessment of bean cultivars of the carioca commercial group by a Bayesian approach
title Adaptability and stability assessment of bean cultivars of the carioca commercial group by a Bayesian approach
spellingShingle Adaptability and stability assessment of bean cultivars of the carioca commercial group by a Bayesian approach
Euzebio, Milena Pierotti
Phaseolus vulgaris L.
value for cultivation and use
Eberhart and Russell
Bayes factor
informative prior.
Melhoramento de Plantas
title_short Adaptability and stability assessment of bean cultivars of the carioca commercial group by a Bayesian approach
title_full Adaptability and stability assessment of bean cultivars of the carioca commercial group by a Bayesian approach
title_fullStr Adaptability and stability assessment of bean cultivars of the carioca commercial group by a Bayesian approach
title_full_unstemmed Adaptability and stability assessment of bean cultivars of the carioca commercial group by a Bayesian approach
title_sort Adaptability and stability assessment of bean cultivars of the carioca commercial group by a Bayesian approach
author Euzebio, Milena Pierotti
author_facet Euzebio, Milena Pierotti
Fonseca, Inês Cristina de Batista
Fonseca Júnior, Nelson da Silva
Nascimento, Moysés
Giordani, Willian
Gonçalves, Leandro Simões Azeredo
author_role author
author2 Fonseca, Inês Cristina de Batista
Fonseca Júnior, Nelson da Silva
Nascimento, Moysés
Giordani, Willian
Gonçalves, Leandro Simões Azeredo
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Euzebio, Milena Pierotti
Fonseca, Inês Cristina de Batista
Fonseca Júnior, Nelson da Silva
Nascimento, Moysés
Giordani, Willian
Gonçalves, Leandro Simões Azeredo
dc.subject.por.fl_str_mv Phaseolus vulgaris L.
value for cultivation and use
Eberhart and Russell
Bayes factor
informative prior.
Melhoramento de Plantas
topic Phaseolus vulgaris L.
value for cultivation and use
Eberhart and Russell
Bayes factor
informative prior.
Melhoramento de Plantas
description  To develop new bean commercial cultivars, a series of experiments called Value for Cultivation and Use (VCU) assays are necessary. Bayesian analysis using information on prior VCU trials is an alternative to obtain greater precision during genotype selection. The objective of the present work was to select, under a Bayesian perspective, genotypes of the carioca bean from the state of Paraná that combine high adaptability and phenotypic stability, using information from previous VCU assays. This study used data from six experiments conducted in a randomized block design, in which the grain yield of 18 genotypes was assayed. To represent weakly informative prior distributions, the study used probability distributions with high variance; to represent informative prior distributions, it adopted the meta-analysis concept used in prior VCU assays (2007/2008, 2008/2009, 2009/2010, 2010/2011, 2011/2012, 2012/2013, and 2013/2014). Bayesian inference provided greater precision in selecting carioca bean genotypes with high adaptability and phenotypical stability through the Eberhart and Russell method. The Bayes factor indicated that the use of a priori information gives more accurate results for genotype selection. According to the study, most genotypes are widely adaptable based on informative priors, except for the Bola Cheia cultivar, which has specific adaptability to favorable environments. 
publishDate 2018
dc.date.none.fl_str_mv 2018-05-15
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/35272
10.4025/actasciagron.v40i1.35272
url http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/35272
identifier_str_mv 10.4025/actasciagron.v40i1.35272
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/35272/pdf
dc.rights.driver.fl_str_mv Copyright (c) 2018 Acta Scientiarum. Agronomy
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2018 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 40 (2018): Publicação Contínua; e35272
Acta Scientiarum. Agronomy; v. 40 (2018): Publicação Contínua; e35272
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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