Assessing the genotypic performance of carioca beans through mixed models.

Detalhes bibliográficos
Autor(a) principal: SOUZA, I. P. de
Data de Publicação: 2018
Outros Autores: SANTOS, P. R. dos, NASCIMENTO, M. R., COSTA, K. D. da S., LIMA, T. V., OLIVEIRA, T. R. A. de, COSTA, A. F. da, PEREIRA, H. S., SILVA, J. W. da
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1093307
Resumo: Using genotypes adapted to different regions is one of the main ways to increase Brazilian bean yield. The aim of the present study was to assess the genotypic performance of Carioca beans through mixed models. Fourteen Carioca bean genotypes were assessed in four locations in Pernambuco State (Arcoverde, Caruaru, Belém de São Francisco and São João counties) in 2015. The experiments followed a completely randomized block design, with three repetitions. Genetic parameters were estimated according to the REML/BLUP methodology, whereas genotype selection was based on the harmonic mean of relative performance of genetic values method (MHPRVG). The mean genotype heritability had moderate magnitude, high selective accuracy, besides allowing selection of agronomically superior individuals. Genotypes ?BRS Notável?, CNFC 15480 and ?IPR 139? showed good adaptability and grain yield stability. There was agreement among the statistics (u + g), stability (MHVG), adaptability (PRVG), and stability and adaptability of genetic values (MHPRVG) in the discrimination of the most productive genotypes, which presented high adaptability and stability. This outcome indicated that these genotypes can be part of the selection criteria regularly used in bean breeding programs.
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spelling Assessing the genotypic performance of carioca beans through mixed models.REML/BLUPFeijãoPhaseolus VulgarisMelhoramento Genético VegetalGenótipoProdutividadeBeansGenetic stabilityGenotypeUsing genotypes adapted to different regions is one of the main ways to increase Brazilian bean yield. The aim of the present study was to assess the genotypic performance of Carioca beans through mixed models. Fourteen Carioca bean genotypes were assessed in four locations in Pernambuco State (Arcoverde, Caruaru, Belém de São Francisco and São João counties) in 2015. The experiments followed a completely randomized block design, with three repetitions. Genetic parameters were estimated according to the REML/BLUP methodology, whereas genotype selection was based on the harmonic mean of relative performance of genetic values method (MHPRVG). The mean genotype heritability had moderate magnitude, high selective accuracy, besides allowing selection of agronomically superior individuals. Genotypes ?BRS Notável?, CNFC 15480 and ?IPR 139? showed good adaptability and grain yield stability. There was agreement among the statistics (u + g), stability (MHVG), adaptability (PRVG), and stability and adaptability of genetic values (MHPRVG) in the discrimination of the most productive genotypes, which presented high adaptability and stability. This outcome indicated that these genotypes can be part of the selection criteria regularly used in bean breeding programs.YURE PEQUENO DE SOUZA, UNIVERSIDADE ESTADUAL DO NORTE FLUMINENSE DARCY RIBEIRO; PAULO RICARDO DO SANTOS, UNIVERSIDADE ESTADUAL DO NORTE FLUMINENSE DARCY RIBEIRO; MAXWEL RODRIGUES NASCIMENTO, UNIVERSIDADE ESTADUAL DO NORTE FLUMINENSE DARCY RIBEIRO; KLEYTON DANILO DA SILVA COSTA, INSTITUTO FEDERAL DE EDUCAÇÃO, Piranhas-AL; THALYSON VASCONCELOS LIMA, UNIVERSIDADE FEDERAL RURAL DE PERNAMBUCO; TAMARA REBECCA ALBUQUERQUE DE OLIVEIRA, UNIVERSIDADE ESTADUAL DO NORTE FLUMINENSE DARCY RIBEIRO; ANTONIO FELIX DA COSTA, IPA; HELTON SANTOS PEREIRA, CNPAF; JOSE WILSON DA SILVA, UNIVERSIDADE FEDERAL RURAL DE PERNAMBUCO.SOUZA, I. P. deSANTOS, P. R. dosNASCIMENTO, M. R.COSTA, K. D. da S.LIMA, T. V.OLIVEIRA, T. R. A. deCOSTA, A. F. daPEREIRA, H. S.SILVA, J. W. da2018-08-15T00:31:48Z2018-08-15T00:31:48Z2018-07-1620182018-08-15T00:31:48Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleCiência Rural, v. 48, n. 7, e20170761, 2018.1678-4596http://www.alice.cnptia.embrapa.br/alice/handle/doc/109330710.1590/0103-8478cr20170761enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2018-08-15T00:31:56Zoai:www.alice.cnptia.embrapa.br:doc/1093307Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542018-08-15T00:31:56falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542018-08-15T00:31:56Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Assessing the genotypic performance of carioca beans through mixed models.
title Assessing the genotypic performance of carioca beans through mixed models.
spellingShingle Assessing the genotypic performance of carioca beans through mixed models.
SOUZA, I. P. de
REML/BLUP
Feijão
Phaseolus Vulgaris
Melhoramento Genético Vegetal
Genótipo
Produtividade
Beans
Genetic stability
Genotype
title_short Assessing the genotypic performance of carioca beans through mixed models.
title_full Assessing the genotypic performance of carioca beans through mixed models.
title_fullStr Assessing the genotypic performance of carioca beans through mixed models.
title_full_unstemmed Assessing the genotypic performance of carioca beans through mixed models.
title_sort Assessing the genotypic performance of carioca beans through mixed models.
author SOUZA, I. P. de
author_facet SOUZA, I. P. de
SANTOS, P. R. dos
NASCIMENTO, M. R.
COSTA, K. D. da S.
LIMA, T. V.
OLIVEIRA, T. R. A. de
COSTA, A. F. da
PEREIRA, H. S.
SILVA, J. W. da
author_role author
author2 SANTOS, P. R. dos
NASCIMENTO, M. R.
COSTA, K. D. da S.
LIMA, T. V.
OLIVEIRA, T. R. A. de
COSTA, A. F. da
PEREIRA, H. S.
SILVA, J. W. da
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv YURE PEQUENO DE SOUZA, UNIVERSIDADE ESTADUAL DO NORTE FLUMINENSE DARCY RIBEIRO; PAULO RICARDO DO SANTOS, UNIVERSIDADE ESTADUAL DO NORTE FLUMINENSE DARCY RIBEIRO; MAXWEL RODRIGUES NASCIMENTO, UNIVERSIDADE ESTADUAL DO NORTE FLUMINENSE DARCY RIBEIRO; KLEYTON DANILO DA SILVA COSTA, INSTITUTO FEDERAL DE EDUCAÇÃO, Piranhas-AL; THALYSON VASCONCELOS LIMA, UNIVERSIDADE FEDERAL RURAL DE PERNAMBUCO; TAMARA REBECCA ALBUQUERQUE DE OLIVEIRA, UNIVERSIDADE ESTADUAL DO NORTE FLUMINENSE DARCY RIBEIRO; ANTONIO FELIX DA COSTA, IPA; HELTON SANTOS PEREIRA, CNPAF; JOSE WILSON DA SILVA, UNIVERSIDADE FEDERAL RURAL DE PERNAMBUCO.
dc.contributor.author.fl_str_mv SOUZA, I. P. de
SANTOS, P. R. dos
NASCIMENTO, M. R.
COSTA, K. D. da S.
LIMA, T. V.
OLIVEIRA, T. R. A. de
COSTA, A. F. da
PEREIRA, H. S.
SILVA, J. W. da
dc.subject.por.fl_str_mv REML/BLUP
Feijão
Phaseolus Vulgaris
Melhoramento Genético Vegetal
Genótipo
Produtividade
Beans
Genetic stability
Genotype
topic REML/BLUP
Feijão
Phaseolus Vulgaris
Melhoramento Genético Vegetal
Genótipo
Produtividade
Beans
Genetic stability
Genotype
description Using genotypes adapted to different regions is one of the main ways to increase Brazilian bean yield. The aim of the present study was to assess the genotypic performance of Carioca beans through mixed models. Fourteen Carioca bean genotypes were assessed in four locations in Pernambuco State (Arcoverde, Caruaru, Belém de São Francisco and São João counties) in 2015. The experiments followed a completely randomized block design, with three repetitions. Genetic parameters were estimated according to the REML/BLUP methodology, whereas genotype selection was based on the harmonic mean of relative performance of genetic values method (MHPRVG). The mean genotype heritability had moderate magnitude, high selective accuracy, besides allowing selection of agronomically superior individuals. Genotypes ?BRS Notável?, CNFC 15480 and ?IPR 139? showed good adaptability and grain yield stability. There was agreement among the statistics (u + g), stability (MHVG), adaptability (PRVG), and stability and adaptability of genetic values (MHPRVG) in the discrimination of the most productive genotypes, which presented high adaptability and stability. This outcome indicated that these genotypes can be part of the selection criteria regularly used in bean breeding programs.
publishDate 2018
dc.date.none.fl_str_mv 2018-08-15T00:31:48Z
2018-08-15T00:31:48Z
2018-07-16
2018
2018-08-15T00:31:48Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Ciência Rural, v. 48, n. 7, e20170761, 2018.
1678-4596
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1093307
10.1590/0103-8478cr20170761
identifier_str_mv Ciência Rural, v. 48, n. 7, e20170761, 2018.
1678-4596
10.1590/0103-8478cr20170761
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1093307
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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