Biplot analysis of phenotypic stability in upland cotton genotypes in Mato Grosso.

Detalhes bibliográficos
Autor(a) principal: FARIAS, F. J. C.
Data de Publicação: 2016
Outros Autores: CARVALHO, L. P. de, SILVA FILHO, J. L. da, TEODORO, P. E.
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/1065921
Resumo: Seed cotton yield is a trait governed by multiple genes that cause changes in the performance of genotypes depending on the cultivation environment. Breeding programs examine the genotype x environment interaction (GE) using precise statistical methods, such as AMMI (additive main effects and multiplicative interaction) and GGE biplot (genotype main effects + genotype x environment interaction). The AMMI method combines the analysis of variance and principal components, to adjust the main effects (genotypes and environments) and the effects of GE interaction, respectively. The GGE biplot groups the genotype additive effect together with the multiplicative effect of the GE interaction, and submits both of these to the principal components analysis. The aim of this study was to investigate the association between the AMMI and GGE biplot methods and select cotton genotypes that simultaneously showed high productivity of seed cotton and stability in Mato Grosso environments. Trials were conducted with cotton cultivars in eight environments across Mato Grosso State in the 2008/2009 crop season. The experiment used a randomized block design with 16 genotypes and four replicates per genotype x environment combination. Data for seeds cotton productivity were analyzed by AMMI and GGE biplot methods. Both methods were concordant in the discrimination of environments and genotypes for phenotypic stability. The genotypes BRS ARAÇÁ and LD 05 CV had high seed cotton productivity and phenotypic stability, and could be grown in all environments across Mato Grosso State.
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spelling Biplot analysis of phenotypic stability in upland cotton genotypes in Mato Grosso.GenótipoGossypium hirsutumAlgodãoCottonSeed cotton yield is a trait governed by multiple genes that cause changes in the performance of genotypes depending on the cultivation environment. Breeding programs examine the genotype x environment interaction (GE) using precise statistical methods, such as AMMI (additive main effects and multiplicative interaction) and GGE biplot (genotype main effects + genotype x environment interaction). The AMMI method combines the analysis of variance and principal components, to adjust the main effects (genotypes and environments) and the effects of GE interaction, respectively. The GGE biplot groups the genotype additive effect together with the multiplicative effect of the GE interaction, and submits both of these to the principal components analysis. The aim of this study was to investigate the association between the AMMI and GGE biplot methods and select cotton genotypes that simultaneously showed high productivity of seed cotton and stability in Mato Grosso environments. Trials were conducted with cotton cultivars in eight environments across Mato Grosso State in the 2008/2009 crop season. The experiment used a randomized block design with 16 genotypes and four replicates per genotype x environment combination. Data for seeds cotton productivity were analyzed by AMMI and GGE biplot methods. Both methods were concordant in the discrimination of environments and genotypes for phenotypic stability. The genotypes BRS ARAÇÁ and LD 05 CV had high seed cotton productivity and phenotypic stability, and could be grown in all environments across Mato Grosso State.FRANCISCO JOSE CORREIA FARIAS, CNPA; LUIZ PAULO DE CARVALHO, CNPA; JOAO LUIS DA SILVA FILHO, CNPA; PAULO EDUARDO TEODORO, UFV.FARIAS, F. J. C.CARVALHO, L. P. deSILVA FILHO, J. L. daTEODORO, P. E.2017-03-03T11:11:11Z2017-03-03T11:11:11Z2017-03-0320162017-03-03T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleGenetics and Molecular Research, v. 15, n. 2, 2016.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1065921enginfo: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:EMBRAPA2017-08-16T04:15:54Zoai:www.alice.cnptia.embrapa.br:doc/1065921Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-08-16T04:15:54falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T04:15:54Repositório 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 Biplot analysis of phenotypic stability in upland cotton genotypes in Mato Grosso.
title Biplot analysis of phenotypic stability in upland cotton genotypes in Mato Grosso.
spellingShingle Biplot analysis of phenotypic stability in upland cotton genotypes in Mato Grosso.
FARIAS, F. J. C.
Genótipo
Gossypium hirsutum
Algodão
Cotton
title_short Biplot analysis of phenotypic stability in upland cotton genotypes in Mato Grosso.
title_full Biplot analysis of phenotypic stability in upland cotton genotypes in Mato Grosso.
title_fullStr Biplot analysis of phenotypic stability in upland cotton genotypes in Mato Grosso.
title_full_unstemmed Biplot analysis of phenotypic stability in upland cotton genotypes in Mato Grosso.
title_sort Biplot analysis of phenotypic stability in upland cotton genotypes in Mato Grosso.
author FARIAS, F. J. C.
author_facet FARIAS, F. J. C.
CARVALHO, L. P. de
SILVA FILHO, J. L. da
TEODORO, P. E.
author_role author
author2 CARVALHO, L. P. de
SILVA FILHO, J. L. da
TEODORO, P. E.
author2_role author
author
author
dc.contributor.none.fl_str_mv FRANCISCO JOSE CORREIA FARIAS, CNPA; LUIZ PAULO DE CARVALHO, CNPA; JOAO LUIS DA SILVA FILHO, CNPA; PAULO EDUARDO TEODORO, UFV.
dc.contributor.author.fl_str_mv FARIAS, F. J. C.
CARVALHO, L. P. de
SILVA FILHO, J. L. da
TEODORO, P. E.
dc.subject.por.fl_str_mv Genótipo
Gossypium hirsutum
Algodão
Cotton
topic Genótipo
Gossypium hirsutum
Algodão
Cotton
description Seed cotton yield is a trait governed by multiple genes that cause changes in the performance of genotypes depending on the cultivation environment. Breeding programs examine the genotype x environment interaction (GE) using precise statistical methods, such as AMMI (additive main effects and multiplicative interaction) and GGE biplot (genotype main effects + genotype x environment interaction). The AMMI method combines the analysis of variance and principal components, to adjust the main effects (genotypes and environments) and the effects of GE interaction, respectively. The GGE biplot groups the genotype additive effect together with the multiplicative effect of the GE interaction, and submits both of these to the principal components analysis. The aim of this study was to investigate the association between the AMMI and GGE biplot methods and select cotton genotypes that simultaneously showed high productivity of seed cotton and stability in Mato Grosso environments. Trials were conducted with cotton cultivars in eight environments across Mato Grosso State in the 2008/2009 crop season. The experiment used a randomized block design with 16 genotypes and four replicates per genotype x environment combination. Data for seeds cotton productivity were analyzed by AMMI and GGE biplot methods. Both methods were concordant in the discrimination of environments and genotypes for phenotypic stability. The genotypes BRS ARAÇÁ and LD 05 CV had high seed cotton productivity and phenotypic stability, and could be grown in all environments across Mato Grosso State.
publishDate 2016
dc.date.none.fl_str_mv 2016
2017-03-03T11:11:11Z
2017-03-03T11:11:11Z
2017-03-03
2017-03-03T11:11:11Z
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 Genetics and Molecular Research, v. 15, n. 2, 2016.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1065921
identifier_str_mv Genetics and Molecular Research, v. 15, n. 2, 2016.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1065921
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)
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instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
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reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
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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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