GGE Biplot and REML/BLUP based-analysis of yield stability and adaptability for common beans in multi-environment trials.
Autor(a) principal: | |
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Data de Publicação: | 2019 |
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/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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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) |
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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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1817695562212835328 |