Evolution of methodology for the study of adaptability and stability in cultivated species.
Autor(a) principal: | |
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Data de Publicação: | 2016 |
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/1045315 |
Resumo: | The GxE interaction only became widely discussed from evolutionary studies and evaluations of the causes of behavioral changes of species cultivated in environments. In the last 60 years, several methodologies for the study of adaptability and stability of genotypes in multiple environments trials were developed in order to assist the breeder's choice regarding which genotypes are more stable and which are the most suitable for the crops in the most diverse environments. The methods that use linear regression analysis were the first to be used in a general way by breeders, followed by multivariate analysis methods and mixed models. The need to identify the genetic and environmental causes that are behind the GxE interaction led to the development of new models that include the use of covariates and which can also include both multivariate methods and mixed modeling. However, further studies are needed to identify the causes of GxE interaction as well as for the more accurate measurement of its effects on phenotypic expression of varieties in competition trials carried out in genetic breeding programs. |
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Evolution of methodology for the study of adaptability and stability in cultivated species.AdaptabilidadeEstabilidadeMelhoramento genéticoThe GxE interaction only became widely discussed from evolutionary studies and evaluations of the causes of behavioral changes of species cultivated in environments. In the last 60 years, several methodologies for the study of adaptability and stability of genotypes in multiple environments trials were developed in order to assist the breeder's choice regarding which genotypes are more stable and which are the most suitable for the crops in the most diverse environments. The methods that use linear regression analysis were the first to be used in a general way by breeders, followed by multivariate analysis methods and mixed models. The need to identify the genetic and environmental causes that are behind the GxE interaction led to the development of new models that include the use of covariates and which can also include both multivariate methods and mixed modeling. However, further studies are needed to identify the causes of GxE interaction as well as for the more accurate measurement of its effects on phenotypic expression of varieties in competition trials carried out in genetic breeding programs.LEONARDO CASTELO BRANCO CARVALHO, ESALQ; KAESEL JACKSON DAMASCENO E SILVA, CPAMN; MAURISRAEL DE MOURA ROCHA, CPAMN; GIANCARLO CONDE XAVIER OLIVEIRA, ESALQ.CARVALHO, L. C. B.SILVA, K. J. D. eROCHA, M. de M.OLIVEIRA, G. C. X.2016-05-19T11:11:11Z2016-05-19T11:11:11Z2016-05-1920162017-07-19T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleAfrican Journal of Agricultural Research, v. 11, n. 12, p. 990-1000, Mar. 2016.1991-637Xhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/104531510.5897/AJAR2015.10596enginfo: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:EMBRAPA2017-08-16T02:53:41Zoai:www.alice.cnptia.embrapa.br:doc/1045315Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T02:53:41Repositório 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 |
Evolution of methodology for the study of adaptability and stability in cultivated species. |
title |
Evolution of methodology for the study of adaptability and stability in cultivated species. |
spellingShingle |
Evolution of methodology for the study of adaptability and stability in cultivated species. CARVALHO, L. C. B. Adaptabilidade Estabilidade Melhoramento genético |
title_short |
Evolution of methodology for the study of adaptability and stability in cultivated species. |
title_full |
Evolution of methodology for the study of adaptability and stability in cultivated species. |
title_fullStr |
Evolution of methodology for the study of adaptability and stability in cultivated species. |
title_full_unstemmed |
Evolution of methodology for the study of adaptability and stability in cultivated species. |
title_sort |
Evolution of methodology for the study of adaptability and stability in cultivated species. |
author |
CARVALHO, L. C. B. |
author_facet |
CARVALHO, L. C. B. SILVA, K. J. D. e ROCHA, M. de M. OLIVEIRA, G. C. X. |
author_role |
author |
author2 |
SILVA, K. J. D. e ROCHA, M. de M. OLIVEIRA, G. C. X. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
LEONARDO CASTELO BRANCO CARVALHO, ESALQ; KAESEL JACKSON DAMASCENO E SILVA, CPAMN; MAURISRAEL DE MOURA ROCHA, CPAMN; GIANCARLO CONDE XAVIER OLIVEIRA, ESALQ. |
dc.contributor.author.fl_str_mv |
CARVALHO, L. C. B. SILVA, K. J. D. e ROCHA, M. de M. OLIVEIRA, G. C. X. |
dc.subject.por.fl_str_mv |
Adaptabilidade Estabilidade Melhoramento genético |
topic |
Adaptabilidade Estabilidade Melhoramento genético |
description |
The GxE interaction only became widely discussed from evolutionary studies and evaluations of the causes of behavioral changes of species cultivated in environments. In the last 60 years, several methodologies for the study of adaptability and stability of genotypes in multiple environments trials were developed in order to assist the breeder's choice regarding which genotypes are more stable and which are the most suitable for the crops in the most diverse environments. The methods that use linear regression analysis were the first to be used in a general way by breeders, followed by multivariate analysis methods and mixed models. The need to identify the genetic and environmental causes that are behind the GxE interaction led to the development of new models that include the use of covariates and which can also include both multivariate methods and mixed modeling. However, further studies are needed to identify the causes of GxE interaction as well as for the more accurate measurement of its effects on phenotypic expression of varieties in competition trials carried out in genetic breeding programs. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-05-19T11:11:11Z 2016-05-19T11:11:11Z 2016-05-19 2016 2017-07-19T11:11:11Z |
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 |
African Journal of Agricultural Research, v. 11, n. 12, p. 990-1000, Mar. 2016. 1991-637X http://www.alice.cnptia.embrapa.br/alice/handle/doc/1045315 10.5897/AJAR2015.10596 |
identifier_str_mv |
African Journal of Agricultural Research, v. 11, n. 12, p. 990-1000, Mar. 2016. 1991-637X 10.5897/AJAR2015.10596 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1045315 |
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) |
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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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1817695431634714624 |