Assessing the genotypic performance of carioca beans through mixed models.
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , , , |
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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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 |
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Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
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EMBRAPA |
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EMBRAPA |
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Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
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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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