Combined selection for adaptability, genotypic stability and cowpea yield from mixed models
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Ciência Rural |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782021000900202 |
Resumo: | ABSTRACT: The potential expression of crop productivity is a constant challenge for plant breeders in the face of oscillations in environmental variables, making selection difficult and increasing the operational and methodological costs in obtaining the ideal cultivar for a determined region. The objective of the research was to investigate the effects of genotype x environment interaction in the selection of cowpea lines with high grain yield, adaptability, and genotypic stability simultaneously, in environments of the Northwest region of Rio de Janeiro State, using mixed models (Maximum Restricted Likelihood - REML/Best Linear Unbiased Prediction - BLUP). 27 cowpea genotypes were evaluated in six environments by combining location (Cambuci-RJ and Bom Jesus do Itabapoana-RJ) and year (2016, 2017 and 2018). A randomized block design with four replications was performed. The genetic parameters were estimated via the REML/BLUP procedure, and the selection was based on the harmonic mean method of the relative performance of the genetic values (HMRPGV). A meaningful difference was observed for environment and genotype x environment interaction. The residual variance and the variance of the genotype x environment interaction formed the most significant fractions of the phenotypic variance. Lines 4 (Bico-de-ouro 1-5-24), 6 (Pingo-de-Ouro 1-5-4), 5 (Pingo-de-Ouro 1-5-26), and 9 (Pingo-de-Ouro 1-5-8), stood out as superior in terms of stability and adaptability and grain yield by HMRPGV. Commercial cultivars 13 (BRS-Tumucumaque) and 26 (BRS-Itaim) had high grain yield, adaptability, and specific stability in the evaluated edaphoclimatic conditions. |
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Combined selection for adaptability, genotypic stability and cowpea yield from mixed modelsVigna unguiculata (L.)genotype x environment interactionheritabilitygenetic gainABSTRACT: The potential expression of crop productivity is a constant challenge for plant breeders in the face of oscillations in environmental variables, making selection difficult and increasing the operational and methodological costs in obtaining the ideal cultivar for a determined region. The objective of the research was to investigate the effects of genotype x environment interaction in the selection of cowpea lines with high grain yield, adaptability, and genotypic stability simultaneously, in environments of the Northwest region of Rio de Janeiro State, using mixed models (Maximum Restricted Likelihood - REML/Best Linear Unbiased Prediction - BLUP). 27 cowpea genotypes were evaluated in six environments by combining location (Cambuci-RJ and Bom Jesus do Itabapoana-RJ) and year (2016, 2017 and 2018). A randomized block design with four replications was performed. The genetic parameters were estimated via the REML/BLUP procedure, and the selection was based on the harmonic mean method of the relative performance of the genetic values (HMRPGV). A meaningful difference was observed for environment and genotype x environment interaction. The residual variance and the variance of the genotype x environment interaction formed the most significant fractions of the phenotypic variance. Lines 4 (Bico-de-ouro 1-5-24), 6 (Pingo-de-Ouro 1-5-4), 5 (Pingo-de-Ouro 1-5-26), and 9 (Pingo-de-Ouro 1-5-8), stood out as superior in terms of stability and adaptability and grain yield by HMRPGV. Commercial cultivars 13 (BRS-Tumucumaque) and 26 (BRS-Itaim) had high grain yield, adaptability, and specific stability in the evaluated edaphoclimatic conditions.Universidade Federal de Santa Maria2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782021000900202Ciência Rural v.51 n.9 2021reponame:Ciência Ruralinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM10.1590/0103-8478cr20200540info:eu-repo/semantics/openAccessCruz,Derivaldo Pureza daGravina,Geraldo de AmaralVivas,MarceloEntringer,Geovana CremoniniSouza,Yure Pequeno deRocha,Richardson SalesJaeggi,Mário Euclides Pechara da CostaAlbuquerque,Dalcirlei PinheiroAmaral Junior,Antônio Teixeira doGravina,Lília MarquesRocha,Maurisrael de MouraSilva,Rita de Kássia Guarnier daeng2021-07-07T00:00:00ZRevista |
dc.title.none.fl_str_mv |
Combined selection for adaptability, genotypic stability and cowpea yield from mixed models |
title |
Combined selection for adaptability, genotypic stability and cowpea yield from mixed models |
spellingShingle |
Combined selection for adaptability, genotypic stability and cowpea yield from mixed models Cruz,Derivaldo Pureza da Vigna unguiculata (L.) genotype x environment interaction heritability genetic gain |
title_short |
Combined selection for adaptability, genotypic stability and cowpea yield from mixed models |
title_full |
Combined selection for adaptability, genotypic stability and cowpea yield from mixed models |
title_fullStr |
Combined selection for adaptability, genotypic stability and cowpea yield from mixed models |
title_full_unstemmed |
Combined selection for adaptability, genotypic stability and cowpea yield from mixed models |
title_sort |
Combined selection for adaptability, genotypic stability and cowpea yield from mixed models |
author |
Cruz,Derivaldo Pureza da |
author_facet |
Cruz,Derivaldo Pureza da Gravina,Geraldo de Amaral Vivas,Marcelo Entringer,Geovana Cremonini Souza,Yure Pequeno de Rocha,Richardson Sales Jaeggi,Mário Euclides Pechara da Costa Albuquerque,Dalcirlei Pinheiro Amaral Junior,Antônio Teixeira do Gravina,Lília Marques Rocha,Maurisrael de Moura Silva,Rita de Kássia Guarnier da |
author_role |
author |
author2 |
Gravina,Geraldo de Amaral Vivas,Marcelo Entringer,Geovana Cremonini Souza,Yure Pequeno de Rocha,Richardson Sales Jaeggi,Mário Euclides Pechara da Costa Albuquerque,Dalcirlei Pinheiro Amaral Junior,Antônio Teixeira do Gravina,Lília Marques Rocha,Maurisrael de Moura Silva,Rita de Kássia Guarnier da |
author2_role |
author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Cruz,Derivaldo Pureza da Gravina,Geraldo de Amaral Vivas,Marcelo Entringer,Geovana Cremonini Souza,Yure Pequeno de Rocha,Richardson Sales Jaeggi,Mário Euclides Pechara da Costa Albuquerque,Dalcirlei Pinheiro Amaral Junior,Antônio Teixeira do Gravina,Lília Marques Rocha,Maurisrael de Moura Silva,Rita de Kássia Guarnier da |
dc.subject.por.fl_str_mv |
Vigna unguiculata (L.) genotype x environment interaction heritability genetic gain |
topic |
Vigna unguiculata (L.) genotype x environment interaction heritability genetic gain |
description |
ABSTRACT: The potential expression of crop productivity is a constant challenge for plant breeders in the face of oscillations in environmental variables, making selection difficult and increasing the operational and methodological costs in obtaining the ideal cultivar for a determined region. The objective of the research was to investigate the effects of genotype x environment interaction in the selection of cowpea lines with high grain yield, adaptability, and genotypic stability simultaneously, in environments of the Northwest region of Rio de Janeiro State, using mixed models (Maximum Restricted Likelihood - REML/Best Linear Unbiased Prediction - BLUP). 27 cowpea genotypes were evaluated in six environments by combining location (Cambuci-RJ and Bom Jesus do Itabapoana-RJ) and year (2016, 2017 and 2018). A randomized block design with four replications was performed. The genetic parameters were estimated via the REML/BLUP procedure, and the selection was based on the harmonic mean method of the relative performance of the genetic values (HMRPGV). A meaningful difference was observed for environment and genotype x environment interaction. The residual variance and the variance of the genotype x environment interaction formed the most significant fractions of the phenotypic variance. Lines 4 (Bico-de-ouro 1-5-24), 6 (Pingo-de-Ouro 1-5-4), 5 (Pingo-de-Ouro 1-5-26), and 9 (Pingo-de-Ouro 1-5-8), stood out as superior in terms of stability and adaptability and grain yield by HMRPGV. Commercial cultivars 13 (BRS-Tumucumaque) and 26 (BRS-Itaim) had high grain yield, adaptability, and specific stability in the evaluated edaphoclimatic conditions. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-01 |
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=S0103-84782021000900202 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782021000900202 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0103-8478cr20200540 |
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.51 n.9 2021 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 |
|
_version_ |
1749140556111413248 |