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4. | | REIS, C. L. B.; CAMPELO, T. A.; FROTA, C. C.; AYALA, A. P.; SILVA, L. M. A. e; ROCHA, M. V. P.; SANTIAGO-AGUIAR, R. S. Crystallization of isoniazid in choline-based ionic liquids: Physicochemical properties and anti-tuberculosis activity. Journal of Molecular Liquids, 394, 123671, 2024. Biblioteca(s): Embrapa Agroindústria Tropical. |
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6. | | SERPA, J. de F.; SILVA, J. de S.; REIS, C. L. B.; MICOLI, L.; SILVA, L. M. A. e; CANUTO, K. M.; MACEDO, A. C. de; ROCHA, M. V. P. Extraction and characterization of lignins from cashew apple bagasse obtained by different treatments. Biomass & Bioenergy, v. 141, art. no. 105728, 2020. Biblioteca(s): Embrapa Agroindústria Tropical. |
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7. | | REIS, C. L. B.; SILVA, L. M. A. e; RODRIGUES, T. H. S.; FÉLIX, A. K. N.; SANTIAGO-AGUIAR, R. S. de; CANUTO, K. M.; ROCHA, M. V. P. Pretreatment of cashew apple bagasse using protic ionic liquids: Enhanced enzymatic hydrolysis. Bioresource Technology, v. 224, p. 694-701, 2017. Biblioteca(s): Embrapa Agroindústria Tropical. |
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Registros recuperados : 7 | |
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Registro Completo
Biblioteca(s): |
Embrapa Algodão; Embrapa Florestas. |
Data corrente: |
22/12/2017 |
Data da última atualização: |
26/12/2017 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
Autoria: |
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. |
Afiliação: |
R. S. ALVES, UFV; P. E. TEODORO, UFV; F.C. FARIAS, UFG; FRANCISCO JOSE CORREIA FARIAS, CNPA; LUIZ PAULO DE CARVALHO, CNPA; J. I. S. RODRIGUES, CNPA; L. L. BHERING, UFV; MARCOS DEON VILELA DE RESENDE, CNPF. |
Título: |
Evaluation of genotype x environment interactions in cotton using the method proposed by Eberhart and Russell and reaction norm models. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
Genetics and Molecular Research, v. 16, n. 3, gmr16039726, 2017. |
DOI: |
10.4238/gmr16039726 |
Idioma: |
Inglês |
Conteúdo: |
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. |
Palavras-Chave: |
Cotton fibers; Genetic selection; Mixed model methodology; Random regression; Stability and adaptability. |
Thesagro: |
Gossypium hirsutum; Seleção genética. |
Thesaurus NAL: |
Cotton; Natural selection. |
Categoria do assunto: |
-- G Melhoramento Genético |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/169705/1/2017-M.Deon-GMR-Evaluation.pdf
|
Marc: |
LEADER 02260naa a2200325 a 4500 001 2083485 005 2017-12-26 008 2017 bl uuuu u00u1 u #d 024 7 $a10.4238/gmr16039726$2DOI 100 1 $aALVES, R. S. 245 $aEvaluation of genotype x environment interactions in cotton using the method proposed by Eberhart and Russell and reaction norm models.$h[electronic resource] 260 $c2017 520 $aCotton 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. 650 $aCotton 650 $aNatural selection 650 $aGossypium hirsutum 650 $aSeleção genética 653 $aCotton fibers 653 $aGenetic selection 653 $aMixed model methodology 653 $aRandom regression 653 $aStability and adaptability 700 1 $aTEODORO, P. E. 700 1 $aFARIAS, F. C. 700 1 $aFARIAS, F. J. C. 700 1 $aCARVALHO, L. P. de 700 1 $aRODRIGUES, J. I. S. 700 1 $aBHERING, L. L. 700 1 $aRESENDE, M. D. V. de 773 $tGenetics and Molecular Research$gv. 16, n. 3, gmr16039726, 2017.
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Embrapa Algodão (CNPA) |
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