Prospection of cowpea genotypes for green-grain production
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista ciência agronômica (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902022000100453 |
Resumo: | ABSTRACT Cowpea is a nutritious species cultivated worldwide whose high genetic variability can be exploited in breeding programs. The present study aimed to identify phenotypically divergent genotypes of Vigna unguiculata (L.) Walp., from this pe rspective concerning agronomic and physiological variables aiming at green grain production. An experiment was conducted in Fortaleza – CE, to analyse 13 variables in 44 genotypes from the Active Germplasm Bank of the Federal University of Ceará. The experiment was set up in an augmented block design with four additional controls (commercial cultivars). The genetic and environmental variance components were estimated by restricted maximum likelihood, after which the intraclass correlation coefficient (ICC) was calculated. Principal components analysis, Tocher’s clustering and correlation analysis were used in the study. The variables most influenced by genetic variance were production per plant, green pod length, green grain length, grain mass per pod, and total yield, with ICC > 0.5. Principal components analysis signalled the physiological variables gs, ci, and ci.ca and the agronomic variables of green pod length, green grain mass, number of grains per pod, and earliness of production as important for differentiating between cowpea genotypes. CE genotypes 02, 151, 165, 172, 189, 244, 986, and 1002 show genetic variability, and their use is recommended in cowpea breeding programs aimed at green-grain production. |
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Prospection of cowpea genotypes for green-grain productionPhenotypic characteristicsIntraclass correlationParental selectionGenetic variationVigna unguiculataABSTRACT Cowpea is a nutritious species cultivated worldwide whose high genetic variability can be exploited in breeding programs. The present study aimed to identify phenotypically divergent genotypes of Vigna unguiculata (L.) Walp., from this pe rspective concerning agronomic and physiological variables aiming at green grain production. An experiment was conducted in Fortaleza – CE, to analyse 13 variables in 44 genotypes from the Active Germplasm Bank of the Federal University of Ceará. The experiment was set up in an augmented block design with four additional controls (commercial cultivars). The genetic and environmental variance components were estimated by restricted maximum likelihood, after which the intraclass correlation coefficient (ICC) was calculated. Principal components analysis, Tocher’s clustering and correlation analysis were used in the study. The variables most influenced by genetic variance were production per plant, green pod length, green grain length, grain mass per pod, and total yield, with ICC > 0.5. Principal components analysis signalled the physiological variables gs, ci, and ci.ca and the agronomic variables of green pod length, green grain mass, number of grains per pod, and earliness of production as important for differentiating between cowpea genotypes. CE genotypes 02, 151, 165, 172, 189, 244, 986, and 1002 show genetic variability, and their use is recommended in cowpea breeding programs aimed at green-grain production.Universidade Federal do Ceará2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902022000100453Revista Ciência Agronômica v.53 2022reponame:Revista ciência agronômica (Online)instname:Universidade Federal do Ceará (UFC)instacron:UFC10.5935/1806-6690.20220054info:eu-repo/semantics/openAccessPessoa,Angela Maria dos SantosBertini,Cândida Hermínia Campos de MagalhãesCosta,Emanuel Magalhães daCastro,Érika Beatriz de LimaSilva,Anderson Rodrigo daMesquita,Rosilene OliveiraSilva,Ana Kelly Firmino daeng2022-08-24T00:00:00Zoai:scielo:S1806-66902022000100453Revistahttp://www.ccarevista.ufc.br/PUBhttps://old.scielo.br/oai/scielo-oai.php||alekdutra@ufc.br|| ccarev@ufc.br1806-66900045-6888opendoar:2022-08-24T00:00Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)false |
dc.title.none.fl_str_mv |
Prospection of cowpea genotypes for green-grain production |
title |
Prospection of cowpea genotypes for green-grain production |
spellingShingle |
Prospection of cowpea genotypes for green-grain production Pessoa,Angela Maria dos Santos Phenotypic characteristics Intraclass correlation Parental selection Genetic variation Vigna unguiculata |
title_short |
Prospection of cowpea genotypes for green-grain production |
title_full |
Prospection of cowpea genotypes for green-grain production |
title_fullStr |
Prospection of cowpea genotypes for green-grain production |
title_full_unstemmed |
Prospection of cowpea genotypes for green-grain production |
title_sort |
Prospection of cowpea genotypes for green-grain production |
author |
Pessoa,Angela Maria dos Santos |
author_facet |
Pessoa,Angela Maria dos Santos Bertini,Cândida Hermínia Campos de Magalhães Costa,Emanuel Magalhães da Castro,Érika Beatriz de Lima Silva,Anderson Rodrigo da Mesquita,Rosilene Oliveira Silva,Ana Kelly Firmino da |
author_role |
author |
author2 |
Bertini,Cândida Hermínia Campos de Magalhães Costa,Emanuel Magalhães da Castro,Érika Beatriz de Lima Silva,Anderson Rodrigo da Mesquita,Rosilene Oliveira Silva,Ana Kelly Firmino da |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Pessoa,Angela Maria dos Santos Bertini,Cândida Hermínia Campos de Magalhães Costa,Emanuel Magalhães da Castro,Érika Beatriz de Lima Silva,Anderson Rodrigo da Mesquita,Rosilene Oliveira Silva,Ana Kelly Firmino da |
dc.subject.por.fl_str_mv |
Phenotypic characteristics Intraclass correlation Parental selection Genetic variation Vigna unguiculata |
topic |
Phenotypic characteristics Intraclass correlation Parental selection Genetic variation Vigna unguiculata |
description |
ABSTRACT Cowpea is a nutritious species cultivated worldwide whose high genetic variability can be exploited in breeding programs. The present study aimed to identify phenotypically divergent genotypes of Vigna unguiculata (L.) Walp., from this pe rspective concerning agronomic and physiological variables aiming at green grain production. An experiment was conducted in Fortaleza – CE, to analyse 13 variables in 44 genotypes from the Active Germplasm Bank of the Federal University of Ceará. The experiment was set up in an augmented block design with four additional controls (commercial cultivars). The genetic and environmental variance components were estimated by restricted maximum likelihood, after which the intraclass correlation coefficient (ICC) was calculated. Principal components analysis, Tocher’s clustering and correlation analysis were used in the study. The variables most influenced by genetic variance were production per plant, green pod length, green grain length, grain mass per pod, and total yield, with ICC > 0.5. Principal components analysis signalled the physiological variables gs, ci, and ci.ca and the agronomic variables of green pod length, green grain mass, number of grains per pod, and earliness of production as important for differentiating between cowpea genotypes. CE genotypes 02, 151, 165, 172, 189, 244, 986, and 1002 show genetic variability, and their use is recommended in cowpea breeding programs aimed at green-grain production. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 |
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=S1806-66902022000100453 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902022000100453 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.5935/1806-6690.20220054 |
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 do Ceará |
publisher.none.fl_str_mv |
Universidade Federal do Ceará |
dc.source.none.fl_str_mv |
Revista Ciência Agronômica v.53 2022 reponame:Revista ciência agronômica (Online) instname:Universidade Federal do Ceará (UFC) instacron:UFC |
instname_str |
Universidade Federal do Ceará (UFC) |
instacron_str |
UFC |
institution |
UFC |
reponame_str |
Revista ciência agronômica (Online) |
collection |
Revista ciência agronômica (Online) |
repository.name.fl_str_mv |
Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC) |
repository.mail.fl_str_mv |
||alekdutra@ufc.br|| ccarev@ufc.br |
_version_ |
1750297490562744320 |