Selection of high-performance black-eyed cowpea (Vigna unguiculata) through GYT biplot analysis: a new methodology based on multiple characteristics.
Autor(a) principal: | |
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Data de Publicação: | 2021 |
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/1131860 |
Resumo: | Cowpea bean is a common crop quite appreciated in Brazil. However, it is known that its low yield depending on soil and climatic conditions. The aim of this research is the selection of high-performance black-eyed cowpea through GYT biplot analysis. Twelve (12) cowpea bean strains were assessed between 2016 and. The study followed a randomized complete block design, with four repetitions; two commercial cultivars were used ascheck. The following variables were assessed: number of days required for flowering, final stand, value for cultivation, pod yield, pod length, mean number of grains per pod and grain weight. The analysis of variance showed genetic variability between strains, differences between the assessed years and different strain-performance in each growing year. Based on the GYT biplot graph, cultivar BRS Itaim, and strains L9 and L7 recorded the best performance for the set of yield characteristics. Variable ?pod length? had positive correlation to bedding, number of days required for flowering and number of grains per pod. Variable ?100-grain weight? had positive correlation to final stand, pod yield and mean grain weight per pod. Strains L9, L7 and cultivar BRS Itaim recorded the best yield regarding the assessed variables. |
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Selection of high-performance black-eyed cowpea (Vigna unguiculata) through GYT biplot analysis: a new methodology based on multiple characteristics.Associações de traçosAnálise de variânciaVigna UnguiculataVariedadeCowpea bean is a common crop quite appreciated in Brazil. However, it is known that its low yield depending on soil and climatic conditions. The aim of this research is the selection of high-performance black-eyed cowpea through GYT biplot analysis. Twelve (12) cowpea bean strains were assessed between 2016 and. The study followed a randomized complete block design, with four repetitions; two commercial cultivars were used ascheck. The following variables were assessed: number of days required for flowering, final stand, value for cultivation, pod yield, pod length, mean number of grains per pod and grain weight. The analysis of variance showed genetic variability between strains, differences between the assessed years and different strain-performance in each growing year. Based on the GYT biplot graph, cultivar BRS Itaim, and strains L9 and L7 recorded the best performance for the set of yield characteristics. Variable ?pod length? had positive correlation to bedding, number of days required for flowering and number of grains per pod. Variable ?100-grain weight? had positive correlation to final stand, pod yield and mean grain weight per pod. Strains L9, L7 and cultivar BRS Itaim recorded the best yield regarding the assessed variables.KLEBERSON CORDEIRO ARAÚJO, UENF, Campos dos Goytacazes, RJ, Brasil; TÂMARA REBECCA ALBUQUERQUE DE OLIVEIRA; GERALDO DE AMARAL GRAVINA, UENF, Campos dos Goytacazes, RJ, Brasil; MAURISRAEL DE MOURA ROCHA, CPAMN; FRANCISCO DE ALCÂNTARA NETO, UFPI; GUSTAVO HUGO FERREIRA DE OLIVEIRA, UFS, Campus do Sertão, Nossa Senhora da Glória, SE, Brasil; DERIVALDO PUREZA DA CRUZ, UENF, Brasil Campos dos Goytacazes, RJ, Brasil; CAMILA QUEIROZ DA SILVA SANFIM DE SANT'ANNA, UENF, Brasil Campos dos Goytacazes, RJ, Brasil; LILIA MARQUES GRAVINA, UENF, Brasil Campos dos Goytacazes, RJ, Brasil; RICHARDSON SALES ROCHA, UENF, Campos dos Goytacazes, RJ, Brasil; ISRAEL MARTINS PEREIRA, UENF, Campos dos Goytacazes, RJ, Brasil.ARAÚJO, K. C.OLIVEIRA, T. R. A. deGRAVINA, G. de A.ROCHA, M. de M.ALCÂNTARA NETO, F. deOLIVEIRA, G. H. F. deCRUZ, D. P. daSANT'ANNA, C. Q. da S. S. deGRAVINA, L. M.ROCHA, R. S.PEREIRA, I. M.2021-05-18T13:26:23Z2021-05-18T13:26:23Z2021-05-182021info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleAustralian Journal of Crop Science, v. 15, p. 464-469, 2021.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1131860enginfo: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:EMBRAPA2021-05-18T13:26:33Zoai:www.alice.cnptia.embrapa.br:doc/1131860Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542021-05-18T13:26:33falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542021-05-18T13:26:33Repositório 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 |
Selection of high-performance black-eyed cowpea (Vigna unguiculata) through GYT biplot analysis: a new methodology based on multiple characteristics. |
title |
Selection of high-performance black-eyed cowpea (Vigna unguiculata) through GYT biplot analysis: a new methodology based on multiple characteristics. |
spellingShingle |
Selection of high-performance black-eyed cowpea (Vigna unguiculata) through GYT biplot analysis: a new methodology based on multiple characteristics. ARAÚJO, K. C. Associações de traços Análise de variância Vigna Unguiculata Variedade |
title_short |
Selection of high-performance black-eyed cowpea (Vigna unguiculata) through GYT biplot analysis: a new methodology based on multiple characteristics. |
title_full |
Selection of high-performance black-eyed cowpea (Vigna unguiculata) through GYT biplot analysis: a new methodology based on multiple characteristics. |
title_fullStr |
Selection of high-performance black-eyed cowpea (Vigna unguiculata) through GYT biplot analysis: a new methodology based on multiple characteristics. |
title_full_unstemmed |
Selection of high-performance black-eyed cowpea (Vigna unguiculata) through GYT biplot analysis: a new methodology based on multiple characteristics. |
title_sort |
Selection of high-performance black-eyed cowpea (Vigna unguiculata) through GYT biplot analysis: a new methodology based on multiple characteristics. |
author |
ARAÚJO, K. C. |
author_facet |
ARAÚJO, K. C. OLIVEIRA, T. R. A. de GRAVINA, G. de A. ROCHA, M. de M. ALCÂNTARA NETO, F. de OLIVEIRA, G. H. F. de CRUZ, D. P. da SANT'ANNA, C. Q. da S. S. de GRAVINA, L. M. ROCHA, R. S. PEREIRA, I. M. |
author_role |
author |
author2 |
OLIVEIRA, T. R. A. de GRAVINA, G. de A. ROCHA, M. de M. ALCÂNTARA NETO, F. de OLIVEIRA, G. H. F. de CRUZ, D. P. da SANT'ANNA, C. Q. da S. S. de GRAVINA, L. M. ROCHA, R. S. PEREIRA, I. M. |
author2_role |
author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
KLEBERSON CORDEIRO ARAÚJO, UENF, Campos dos Goytacazes, RJ, Brasil; TÂMARA REBECCA ALBUQUERQUE DE OLIVEIRA; GERALDO DE AMARAL GRAVINA, UENF, Campos dos Goytacazes, RJ, Brasil; MAURISRAEL DE MOURA ROCHA, CPAMN; FRANCISCO DE ALCÂNTARA NETO, UFPI; GUSTAVO HUGO FERREIRA DE OLIVEIRA, UFS, Campus do Sertão, Nossa Senhora da Glória, SE, Brasil; DERIVALDO PUREZA DA CRUZ, UENF, Brasil Campos dos Goytacazes, RJ, Brasil; CAMILA QUEIROZ DA SILVA SANFIM DE SANT'ANNA, UENF, Brasil Campos dos Goytacazes, RJ, Brasil; LILIA MARQUES GRAVINA, UENF, Brasil Campos dos Goytacazes, RJ, Brasil; RICHARDSON SALES ROCHA, UENF, Campos dos Goytacazes, RJ, Brasil; ISRAEL MARTINS PEREIRA, UENF, Campos dos Goytacazes, RJ, Brasil. |
dc.contributor.author.fl_str_mv |
ARAÚJO, K. C. OLIVEIRA, T. R. A. de GRAVINA, G. de A. ROCHA, M. de M. ALCÂNTARA NETO, F. de OLIVEIRA, G. H. F. de CRUZ, D. P. da SANT'ANNA, C. Q. da S. S. de GRAVINA, L. M. ROCHA, R. S. PEREIRA, I. M. |
dc.subject.por.fl_str_mv |
Associações de traços Análise de variância Vigna Unguiculata Variedade |
topic |
Associações de traços Análise de variância Vigna Unguiculata Variedade |
description |
Cowpea bean is a common crop quite appreciated in Brazil. However, it is known that its low yield depending on soil and climatic conditions. The aim of this research is the selection of high-performance black-eyed cowpea through GYT biplot analysis. Twelve (12) cowpea bean strains were assessed between 2016 and. The study followed a randomized complete block design, with four repetitions; two commercial cultivars were used ascheck. The following variables were assessed: number of days required for flowering, final stand, value for cultivation, pod yield, pod length, mean number of grains per pod and grain weight. The analysis of variance showed genetic variability between strains, differences between the assessed years and different strain-performance in each growing year. Based on the GYT biplot graph, cultivar BRS Itaim, and strains L9 and L7 recorded the best performance for the set of yield characteristics. Variable ?pod length? had positive correlation to bedding, number of days required for flowering and number of grains per pod. Variable ?100-grain weight? had positive correlation to final stand, pod yield and mean grain weight per pod. Strains L9, L7 and cultivar BRS Itaim recorded the best yield regarding the assessed variables. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-05-18T13:26:23Z 2021-05-18T13:26:23Z 2021-05-18 2021 |
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 |
Australian Journal of Crop Science, v. 15, p. 464-469, 2021. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1131860 |
identifier_str_mv |
Australian Journal of Crop Science, v. 15, p. 464-469, 2021. |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1131860 |
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 |
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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1794503505478680576 |