Evaluation of genotype x environment interactions in cotton using the method proposed by Eberhart and Russell and reaction norm models.
Autor(a) principal: | |
---|---|
Data de Publicação: | 2017 |
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/1083385 |
Resumo: | Cotton produces one of the most important textile fibers of the world and has great relevance in the world economy. It is an economically important crop in Brazil, which is the world?s fifth largest producer. However, studies evaluating the genotype x environment (G x E) interactions in cotton are scarce in this country. Therefore, the goal of this study was to evaluate the G x E interactions in two important traits in cotton (fiber yield and fiber length) using the method proposed by Eberhart and Russell (simple linear regression) and reaction norm models (random regression). Eight trials with sixteen upland cotton genotypes, conducted in a randomized block design, were used. It was possible to identify a genotype with wide adaptability and stability for both traits. Reaction norm models have excellent theoretical and practical properties and led to more informative and accurate results than the method proposed by Eberhart and Russell and should, therefore, be preferred. Curves of genotypic values as a function of the environmental gradient, which predict the behavior of the genotypes along the environmental gradient, were generated. These curves make possible the recommendation to untested environmental levels. |
id |
EMBR_a813e137313ed99a9325cbc3f1e3599b |
---|---|
oai_identifier_str |
oai:www.alice.cnptia.embrapa.br:doc/1083385 |
network_acronym_str |
EMBR |
network_name_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository_id_str |
2154 |
spelling |
Evaluation of genotype x environment interactions in cotton using the method proposed by Eberhart and Russell and reaction norm models.Genetic selectionStability and adaptabilityMixed model methodologyRandom regressionGossypium hirsutumSeleção genéticaNatural selectionCotton produces one of the most important textile fibers of the world and has great relevance in the world economy. It is an economically important crop in Brazil, which is the world?s fifth largest producer. However, studies evaluating the genotype x environment (G x E) interactions in cotton are scarce in this country. Therefore, the goal of this study was to evaluate the G x E interactions in two important traits in cotton (fiber yield and fiber length) using the method proposed by Eberhart and Russell (simple linear regression) and reaction norm models (random regression). Eight trials with sixteen upland cotton genotypes, conducted in a randomized block design, were used. It was possible to identify a genotype with wide adaptability and stability for both traits. Reaction norm models have excellent theoretical and practical properties and led to more informative and accurate results than the method proposed by Eberhart and Russell and should, therefore, be preferred. Curves of genotypic values as a function of the environmental gradient, which predict the behavior of the genotypes along the environmental gradient, were generated. These curves make possible the recommendation to untested environmental levels.R. S. Alves, UFV; P. E. Teodoro, UFV; F. C. Farias, Universidade Federal de Goiás; FRANCISCO JOSE CORREIA FARIAS, CNPA; LUIZ PAULO DE CARVALHO, CNPA; J. I. S. Rodrigues; L. L. Bhering, UFV; MARCOS DEON VILELA DE RESENDE, CNPF.ALVES, R. S.TEODORO, P. E.FARIAS, F. C.FARIAS, F. J. C.CARVALHO, L. P. deRODRIGUES, J. I. S.BHERING, L. L.RESENDE, M. D. V. de2017-12-23T23:29:58Z2017-12-23T23:29:58Z2017-12-2220172017-12-23T23:29:58Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article12 p.Genetics and Molecular Research, v. 16, n. 3, gmr16039726, 2017.http://www.alice.cnptia.embrapa.br/alice/handle/doc/108338510.4238/gmr16039726enginfo: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:EMBRAPA2017-12-23T23:30:05Zoai:www.alice.cnptia.embrapa.br:doc/1083385Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-12-23T23:30:05falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-12-23T23:30:05Repositório 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 |
Evaluation of genotype x environment interactions in cotton using the method proposed by Eberhart and Russell and reaction norm models. |
title |
Evaluation of genotype x environment interactions in cotton using the method proposed by Eberhart and Russell and reaction norm models. |
spellingShingle |
Evaluation of genotype x environment interactions in cotton using the method proposed by Eberhart and Russell and reaction norm models. ALVES, R. S. Genetic selection Stability and adaptability Mixed model methodology Random regression Gossypium hirsutum Seleção genética Natural selection |
title_short |
Evaluation of genotype x environment interactions in cotton using the method proposed by Eberhart and Russell and reaction norm models. |
title_full |
Evaluation of genotype x environment interactions in cotton using the method proposed by Eberhart and Russell and reaction norm models. |
title_fullStr |
Evaluation of genotype x environment interactions in cotton using the method proposed by Eberhart and Russell and reaction norm models. |
title_full_unstemmed |
Evaluation of genotype x environment interactions in cotton using the method proposed by Eberhart and Russell and reaction norm models. |
title_sort |
Evaluation of genotype x environment interactions in cotton using the method proposed by Eberhart and Russell and reaction norm models. |
author |
ALVES, R. S. |
author_facet |
ALVES, R. S. TEODORO, P. E. FARIAS, F. C. FARIAS, F. J. C. CARVALHO, L. P. de RODRIGUES, J. I. S. BHERING, L. L. RESENDE, M. D. V. de |
author_role |
author |
author2 |
TEODORO, P. E. FARIAS, F. C. FARIAS, F. J. C. CARVALHO, L. P. de RODRIGUES, J. I. S. BHERING, L. L. RESENDE, M. D. V. de |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
R. S. Alves, UFV; P. E. Teodoro, UFV; F. C. Farias, Universidade Federal de Goiás; FRANCISCO JOSE CORREIA FARIAS, CNPA; LUIZ PAULO DE CARVALHO, CNPA; J. I. S. Rodrigues; L. L. Bhering, UFV; MARCOS DEON VILELA DE RESENDE, CNPF. |
dc.contributor.author.fl_str_mv |
ALVES, R. S. TEODORO, P. E. FARIAS, F. C. FARIAS, F. J. C. CARVALHO, L. P. de RODRIGUES, J. I. S. BHERING, L. L. RESENDE, M. D. V. de |
dc.subject.por.fl_str_mv |
Genetic selection Stability and adaptability Mixed model methodology Random regression Gossypium hirsutum Seleção genética Natural selection |
topic |
Genetic selection Stability and adaptability Mixed model methodology Random regression Gossypium hirsutum Seleção genética Natural selection |
description |
Cotton produces one of the most important textile fibers of the world and has great relevance in the world economy. It is an economically important crop in Brazil, which is the world?s fifth largest producer. However, studies evaluating the genotype x environment (G x E) interactions in cotton are scarce in this country. Therefore, the goal of this study was to evaluate the G x E interactions in two important traits in cotton (fiber yield and fiber length) using the method proposed by Eberhart and Russell (simple linear regression) and reaction norm models (random regression). Eight trials with sixteen upland cotton genotypes, conducted in a randomized block design, were used. It was possible to identify a genotype with wide adaptability and stability for both traits. Reaction norm models have excellent theoretical and practical properties and led to more informative and accurate results than the method proposed by Eberhart and Russell and should, therefore, be preferred. Curves of genotypic values as a function of the environmental gradient, which predict the behavior of the genotypes along the environmental gradient, were generated. These curves make possible the recommendation to untested environmental levels. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-12-23T23:29:58Z 2017-12-23T23:29:58Z 2017-12-22 2017 2017-12-23T23:29:58Z |
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. 16, n. 3, gmr16039726, 2017. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1083385 10.4238/gmr16039726 |
identifier_str_mv |
Genetics and Molecular Research, v. 16, n. 3, gmr16039726, 2017. 10.4238/gmr16039726 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1083385 |
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.format.none.fl_str_mv |
12 p. |
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 |
_version_ |
1794503447115988992 |