Evolution of methodology for the study of adaptability and stability in cultivated species.

Detalhes bibliográficos
Autor(a) principal: CARVALHO, L. C. B.
Data de Publicação: 2016
Outros Autores: SILVA, K. J. D. e, ROCHA, M. de M., OLIVEIRA, G. C. X.
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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spelling 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/requestopendoar:21542017-08-16T02:53:41falseRepositório 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.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 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
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