Adaptability and stability assessment of bean cultivars of the carioca commercial group by a Bayesian approach
Autor(a) principal: | |
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Data de Publicação: | 2018 |
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/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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Acta Scientiarum. Agronomy (Online) |
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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 |
_version_ |
1799305910000025600 |