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Registro Completo |
Biblioteca(s): |
Embrapa Milho e Sorgo. |
Data corrente: |
11/03/2020 |
Data da última atualização: |
11/03/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
DELGADO, I. D.; GONÇALVES, F. M. A.; PARRELLA, R. A. da C.; CASTRO, F. M. R. de; NUNES, J. A. R. |
Afiliação: |
Ivan Dario Delgado, Universidade Federal de Lavras; Flávia Maria Avelar Gonçalves, Universidade Federal de Lavras; RAFAEL AUGUSTO DA COSTA PARRELLA, CNPMS; Fernanda Maria Rodrigues de Castro, Universidade Federal de Lavras; José Airton Rodrigues Nunes, Universidade Federal de Lavras. |
Título: |
Genotype by environment interaction and adaptability of photoperiod-sensitive biomass sorghum hybrids. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
Bragantia, V. 78, n. 4, p. 509-521, 2019. |
DOI: |
10.1590/1678-4499.20190028 |
Idioma: |
Inglês |
Conteúdo: |
Biomass sorghum is an alternative feedstock to cogenerate energy and produce second-generation ethanol. The aim of this study was to evaluate the Genotype by Environment Interaction (GEI) in biomass sorghum and to identify the hybrids that associate high adaptability and stability using the Toler nonlinear regression, the Genotypes plus Genotype by Environment (GGE) biplot, and the Annicchiarico recommendation index. Thirty-three experimental photoperiod-sensitive single-cross hybrids and three checks were evaluated in relation to the traits: flowering time, plant height, moisture content, green mass yield, and dry mass yield. It was observed that the effects of hybrids, environment, and GEI were expressive. The GEI was predominantly complex for the traits related to the biomass yield. The Toler, GGE biplot and Annicchiarico methods show complementarity. The experimental hybrids 1, 8, 22, 31 and 33 are promising because of associating stability and lower recommendation risk. The hybrids 1 and 8 present broad adaptability, while the hybrids 22, 31 and 33 exhibit specific adaptability to high quality environments. |
Palavras-Chave: |
Biplot GGE; Cruz simples; Regressão não linear de Toler. |
Thesagro: |
Biomassa; Sorgo. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/211708/1/Genotype-environment.pdf
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Marc: |
LEADER 01862naa a2200241 a 4500 001 2121132 005 2020-03-11 008 2019 bl uuuu u00u1 u #d 024 7 $a10.1590/1678-4499.20190028$2DOI 100 1 $aDELGADO, I. D. 245 $aGenotype by environment interaction and adaptability of photoperiod-sensitive biomass sorghum hybrids.$h[electronic resource] 260 $c2019 520 $aBiomass sorghum is an alternative feedstock to cogenerate energy and produce second-generation ethanol. The aim of this study was to evaluate the Genotype by Environment Interaction (GEI) in biomass sorghum and to identify the hybrids that associate high adaptability and stability using the Toler nonlinear regression, the Genotypes plus Genotype by Environment (GGE) biplot, and the Annicchiarico recommendation index. Thirty-three experimental photoperiod-sensitive single-cross hybrids and three checks were evaluated in relation to the traits: flowering time, plant height, moisture content, green mass yield, and dry mass yield. It was observed that the effects of hybrids, environment, and GEI were expressive. The GEI was predominantly complex for the traits related to the biomass yield. The Toler, GGE biplot and Annicchiarico methods show complementarity. The experimental hybrids 1, 8, 22, 31 and 33 are promising because of associating stability and lower recommendation risk. The hybrids 1 and 8 present broad adaptability, while the hybrids 22, 31 and 33 exhibit specific adaptability to high quality environments. 650 $aBiomassa 650 $aSorgo 653 $aBiplot GGE 653 $aCruz simples 653 $aRegressão não linear de Toler 700 1 $aGONÇALVES, F. M. A. 700 1 $aPARRELLA, R. A. da C. 700 1 $aCASTRO, F. M. R. de 700 1 $aNUNES, J. A. R. 773 $tBragantia, V. 78$gn. 4, p. 509-521, 2019.
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Embrapa Milho e Sorgo (CNPMS) |
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Registros recuperados : 3 | |
1. | | LEITE, P. S. da S.; PEREIRA, E. dos S.; NUNES, J. A. R.; DELGADO, I. D.; BERCHEMBROCK, Y. V.; FONSECA, J. M. O.; PARRELLA, R. A. da C. Correlação genética entre caracteres agroindustriais em sorgo sacarino. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 9., 2017, Foz do Iguaçu. Melhoramento de plantas: projetando o futuro. Foz do Iguaçu: SBMP, 2017. p. 231.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Milho e Sorgo. |
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2. | | DELGADO, I. D.; NUNES, J. A. R.; CASTRO, F. M. R.; ORNELAS, D. O.; MOURA, M. L. C.; PARRELLA, R. A. da C. Implicações do perfilhamento na seleção de genótipos em sorgo biomassa. In: CONGRESSO NACIONAL DE MILHO E SORGO, 31., 2016, Bento Gonçalves. Milho e sorgo: inovações, mercados e segurança alimentar: anais. Sete Lagoas: Associação Brasileira de Milho e Sorgo, 2016.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Milho e Sorgo. |
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Registros recuperados : 3 | |
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