GGE Biplot and REML/BLUP based-analysis of yield stability and adaptability for common beans in multi-environment trials.

Detalhes bibliográficos
Autor(a) principal: SANTOS, P. R. dos
Data de Publicação: 2019
Outros Autores: OLIVEIRA, T. R. A. de, SKEEN, P., NASCIMENTO, M. R., COSTA, K. D. da S., ARAÚJO, E. R., PEREIRA, H. S., COSTA, A. F. da
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/1111224
Resumo: Prior to releasing new varieties, one of the most common aims in breeding is to study genotype by environmental interactions. Using the analysis obtained from these initial processes, a multitude of varieties based on their relative performance through different environments is produced. Herein we assessed the link-up between GGE Biplot and REML/BLUP based methods in a commercial panel of 32 bean genotypes, which included 17 carioca bean genotypes and 15 black bean genotypes. The assessment was conducted during 2009 in four different locations of Pernambuco State, Brazil. Regarding the locations, São João and Araripina showed to be highly representative and non-discriminatory, while Arcoverde was the most discriminatory and well-represented favoring the selection of widely adapted genotypes. The selection of genotypes was consistent by using both methods and the final conclusion shows outstanding performance. Considering a high yield stability and adaptability, the following genotypes showed outstanding performance: the black types included CNFP (11995, 11983, 11985 and 11991), and the carioca types are CNFC (11951 and 11954). Understanding genotype by environmental interactions enabled us to identify potential genotypes for releasing.
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spelling GGE Biplot and REML/BLUP based-analysis of yield stability and adaptability for common beans in multi-environment trials.FeijãoPhaseolus VulgarisMelhoramento Genético VegetalGenótipoInteração GenéticaHereditariedadeBeansHeritabilityGenotype-environment interactionPrior to releasing new varieties, one of the most common aims in breeding is to study genotype by environmental interactions. Using the analysis obtained from these initial processes, a multitude of varieties based on their relative performance through different environments is produced. Herein we assessed the link-up between GGE Biplot and REML/BLUP based methods in a commercial panel of 32 bean genotypes, which included 17 carioca bean genotypes and 15 black bean genotypes. The assessment was conducted during 2009 in four different locations of Pernambuco State, Brazil. Regarding the locations, São João and Araripina showed to be highly representative and non-discriminatory, while Arcoverde was the most discriminatory and well-represented favoring the selection of widely adapted genotypes. The selection of genotypes was consistent by using both methods and the final conclusion shows outstanding performance. Considering a high yield stability and adaptability, the following genotypes showed outstanding performance: the black types included CNFP (11995, 11983, 11985 and 11991), and the carioca types are CNFC (11951 and 11954). Understanding genotype by environmental interactions enabled us to identify potential genotypes for releasing.PAULO RICARDO DOS SANTOS, UNIVERSIDADE ESTADUAL DO NORTE FLUMINENSE; TAMARA REBECCA ALBUQUERQUE DE OLIVEIRA, UNIVERSIDADE ESTADUAL DO NORTE FLUMINENSE; PAOLA SKEEN, UNIVERSIDAD NACIONAL DE COLOMBIA, Bogotá; MAXWEL RODRIGUES NASCIMENTO, UNIVERSIDADE ESTADUAL DO NORTE FLUMINENSE; KLEYTON DANILO DA SILVA COSTA, INSTITUTO FEDERAL DE ALAGOAS, Piranhas-AL; EMMANUELLE RODRIGUES ARAÚJO, IPA; HELTON SANTOS PEREIRA, CNPAF; ANTONIO FELIX DA COSTA, IPA.SANTOS, P. R. dosOLIVEIRA, T. R. A. deSKEEN, P.NASCIMENTO, M. R.COSTA, K. D. da S.ARAÚJO, E. R.PEREIRA, H. S.COSTA, A. F. da2019-08-10T00:53:36Z2019-08-10T00:53:36Z2019-08-0920192020-02-12T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleRevista Brasileira de Ciências Agrárias, v. 14, n. 2, e5657, 2019.1981-0997http://www.alice.cnptia.embrapa.br/alice/handle/doc/111122410.5039/agraria.v14i2a5657enginfo: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:EMBRAPA2019-08-10T00:53:43Zoai:www.alice.cnptia.embrapa.br:doc/1111224Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542019-08-10T00:53:43Repositório 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 GGE Biplot and REML/BLUP based-analysis of yield stability and adaptability for common beans in multi-environment trials.
title GGE Biplot and REML/BLUP based-analysis of yield stability and adaptability for common beans in multi-environment trials.
spellingShingle GGE Biplot and REML/BLUP based-analysis of yield stability and adaptability for common beans in multi-environment trials.
SANTOS, P. R. dos
Feijão
Phaseolus Vulgaris
Melhoramento Genético Vegetal
Genótipo
Interação Genética
Hereditariedade
Beans
Heritability
Genotype-environment interaction
title_short GGE Biplot and REML/BLUP based-analysis of yield stability and adaptability for common beans in multi-environment trials.
title_full GGE Biplot and REML/BLUP based-analysis of yield stability and adaptability for common beans in multi-environment trials.
title_fullStr GGE Biplot and REML/BLUP based-analysis of yield stability and adaptability for common beans in multi-environment trials.
title_full_unstemmed GGE Biplot and REML/BLUP based-analysis of yield stability and adaptability for common beans in multi-environment trials.
title_sort GGE Biplot and REML/BLUP based-analysis of yield stability and adaptability for common beans in multi-environment trials.
author SANTOS, P. R. dos
author_facet SANTOS, P. R. dos
OLIVEIRA, T. R. A. de
SKEEN, P.
NASCIMENTO, M. R.
COSTA, K. D. da S.
ARAÚJO, E. R.
PEREIRA, H. S.
COSTA, A. F. da
author_role author
author2 OLIVEIRA, T. R. A. de
SKEEN, P.
NASCIMENTO, M. R.
COSTA, K. D. da S.
ARAÚJO, E. R.
PEREIRA, H. S.
COSTA, A. F. da
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv PAULO RICARDO DOS SANTOS, UNIVERSIDADE ESTADUAL DO NORTE FLUMINENSE; TAMARA REBECCA ALBUQUERQUE DE OLIVEIRA, UNIVERSIDADE ESTADUAL DO NORTE FLUMINENSE; PAOLA SKEEN, UNIVERSIDAD NACIONAL DE COLOMBIA, Bogotá; MAXWEL RODRIGUES NASCIMENTO, UNIVERSIDADE ESTADUAL DO NORTE FLUMINENSE; KLEYTON DANILO DA SILVA COSTA, INSTITUTO FEDERAL DE ALAGOAS, Piranhas-AL; EMMANUELLE RODRIGUES ARAÚJO, IPA; HELTON SANTOS PEREIRA, CNPAF; ANTONIO FELIX DA COSTA, IPA.
dc.contributor.author.fl_str_mv SANTOS, P. R. dos
OLIVEIRA, T. R. A. de
SKEEN, P.
NASCIMENTO, M. R.
COSTA, K. D. da S.
ARAÚJO, E. R.
PEREIRA, H. S.
COSTA, A. F. da
dc.subject.por.fl_str_mv Feijão
Phaseolus Vulgaris
Melhoramento Genético Vegetal
Genótipo
Interação Genética
Hereditariedade
Beans
Heritability
Genotype-environment interaction
topic Feijão
Phaseolus Vulgaris
Melhoramento Genético Vegetal
Genótipo
Interação Genética
Hereditariedade
Beans
Heritability
Genotype-environment interaction
description Prior to releasing new varieties, one of the most common aims in breeding is to study genotype by environmental interactions. Using the analysis obtained from these initial processes, a multitude of varieties based on their relative performance through different environments is produced. Herein we assessed the link-up between GGE Biplot and REML/BLUP based methods in a commercial panel of 32 bean genotypes, which included 17 carioca bean genotypes and 15 black bean genotypes. The assessment was conducted during 2009 in four different locations of Pernambuco State, Brazil. Regarding the locations, São João and Araripina showed to be highly representative and non-discriminatory, while Arcoverde was the most discriminatory and well-represented favoring the selection of widely adapted genotypes. The selection of genotypes was consistent by using both methods and the final conclusion shows outstanding performance. Considering a high yield stability and adaptability, the following genotypes showed outstanding performance: the black types included CNFP (11995, 11983, 11985 and 11991), and the carioca types are CNFC (11951 and 11954). Understanding genotype by environmental interactions enabled us to identify potential genotypes for releasing.
publishDate 2019
dc.date.none.fl_str_mv 2019-08-10T00:53:36Z
2019-08-10T00:53:36Z
2019-08-09
2019
2020-02-12T11:11:11Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Revista Brasileira de Ciências Agrárias, v. 14, n. 2, e5657, 2019.
1981-0997
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1111224
10.5039/agraria.v14i2a5657
identifier_str_mv Revista Brasileira de Ciências Agrárias, v. 14, n. 2, e5657, 2019.
1981-0997
10.5039/agraria.v14i2a5657
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1111224
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
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str 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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