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Provedor de dados:  Bragantia
País:  Brazil
Título:  Genotype by environment interaction and adaptability of photoperiod-sensitive biomass sorghum hybrids
Autores:  Delgado,Ivan Dario
Gonçalves,Flávia Maria Avelar
Parrella,Rafael Augusto da Costa
Castro,Fernanda Maria Rodrigues de
Nunes,José Airton Rodrigues
Data:  2019-12-01
Ano:  2019
Palavras-chave:  Sorghum bicolor
Single-cross
Toler nonlinear regression
Recommendation index
GGE biplot
Resumo:  ABSTRACT 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.
Tipo:  Info:eu-repo/semantics/article
Idioma:  Inglês
Identificador:  http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052019000400509
Editor:  Instituto Agronômico de Campinas
Relação:  10.1590/1678-4499.20190028
Formato:  text/html
Fonte:  Bragantia v.78 n.4 2019
Direitos:  info:eu-repo/semantics/openAccess
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