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dc.contributor.authorALVES, R. S.
dc.contributor.authorTEODORO, P. E.
dc.contributor.authorFARIAS, F. C.
dc.contributor.authorFARIAS, F. J. C.
dc.contributor.authorCARVALHO, L. P. de
dc.contributor.authorRODRIGUES, J. I. S.
dc.contributor.authorBHERING, L. L.
dc.contributor.authorRESENDE, M. D. V. de
dc.date.accessioned2017-12-23T23:29:58Z-
dc.date.available2017-12-23T23:29:58Z-
dc.date.created2017-12-22
dc.date.issued2017
dc.identifier.citationGenetics and Molecular Research, v. 16, n. 3, gmr16039726, 2017.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1083385-
dc.descriptionCotton 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.
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectGenetic selection
dc.subjectStability and adaptability
dc.subjectMixed model methodology
dc.subjectRandom regression
dc.titleEvaluation of genotype x environment interactions in cotton using the method proposed by Eberhart and Russell and reaction norm models.
dc.typeArtigo de periódico
dc.date.updated2017-12-23T23:29:58Zpt_BR
dc.subject.thesagroGossypium hirsutum
dc.subject.thesagroSeleção genética
dc.subject.nalthesaurusNatural selection
dc.format.extent212 p.
riaa.ainfo.id1083385
riaa.ainfo.lastupdate2017-12-22
dc.identifier.doi10.4238/gmr16039726
dc.contributor.institutionR. 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.
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