Assessing the genotypic performance of carioca beans through mixed models

Detalhes bibliográficos
Autor(a) principal: Souza,Yure Pequeno de
Data de Publicação: 2018
Outros Autores: Santos,Paulo Ricardo dos, Nascimento,Maxwel Rodrigues, Costa,Kleyton Danilo da Silva, Lima,Thalyson Vasconcelos, Oliveira,Tâmara Rebecca Albuquerque de, Costa,Antônio Félix da, Pereira,Helton Santos, Silva,José Wilson da
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência Rural
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782018000700201
Resumo: ABSTRACT: 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 μ ̂ + 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 modelsPhaseolus vulgaris L.adaptabilityproductivityREML/BLUPstability.ABSTRACT: 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 μ ̂ + 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.Universidade Federal de Santa Maria2018-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782018000700201Ciência Rural v.48 n.7 2018reponame:Ciência Ruralinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM10.1590/0103-8478cr20170761info:eu-repo/semantics/openAccessSouza,Yure Pequeno deSantos,Paulo Ricardo dosNascimento,Maxwel RodriguesCosta,Kleyton Danilo da SilvaLima,Thalyson VasconcelosOliveira,Tâmara Rebecca Albuquerque deCosta,Antônio Félix daPereira,Helton SantosSilva,José Wilson daeng2018-07-27T00:00:00ZRevista
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,Yure Pequeno de
Phaseolus vulgaris L.
adaptability
productivity
REML/BLUP
stability.
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,Yure Pequeno de
author_facet Souza,Yure Pequeno de
Santos,Paulo Ricardo dos
Nascimento,Maxwel Rodrigues
Costa,Kleyton Danilo da Silva
Lima,Thalyson Vasconcelos
Oliveira,Tâmara Rebecca Albuquerque de
Costa,Antônio Félix da
Pereira,Helton Santos
Silva,José Wilson da
author_role author
author2 Santos,Paulo Ricardo dos
Nascimento,Maxwel Rodrigues
Costa,Kleyton Danilo da Silva
Lima,Thalyson Vasconcelos
Oliveira,Tâmara Rebecca Albuquerque de
Costa,Antônio Félix da
Pereira,Helton Santos
Silva,José Wilson da
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Souza,Yure Pequeno de
Santos,Paulo Ricardo dos
Nascimento,Maxwel Rodrigues
Costa,Kleyton Danilo da Silva
Lima,Thalyson Vasconcelos
Oliveira,Tâmara Rebecca Albuquerque de
Costa,Antônio Félix da
Pereira,Helton Santos
Silva,José Wilson da
dc.subject.por.fl_str_mv Phaseolus vulgaris L.
adaptability
productivity
REML/BLUP
stability.
topic Phaseolus vulgaris L.
adaptability
productivity
REML/BLUP
stability.
description ABSTRACT: 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 μ ̂ + 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 2018-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782018000700201
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782018000700201
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0103-8478cr20170761
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência Rural v.48 n.7 2018
reponame:Ciência Rural
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Ciência Rural
collection Ciência Rural
repository.name.fl_str_mv
repository.mail.fl_str_mv
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