Título:	Characterization of sweet sorghum genotypes regarding adaptability and stability for biofuel production.
Autoria:	MARTINS, A. de M. FIGUEIREDO-JÚNIOR, J. M. M. de LEMOS, R. do C. GUERRA, W. D. FREITAS, F. S. de PARRELLA, R. A. da C. SIMEONE, M. L. F. SANTOS, A. S. dos
Afiliação:	ALEXANDRE DE MATOS MARTINS, UNIVERSIDADE FEDERAL DOS VALES DO JEQUITINHONHA E MUCURI JOSÉ MAURÍLIO MOREIRA DE FIGUEIREDO-JÚNIOR, UNIVERSIDADE FEDERAL DE LAVRAS ROXANE DO CARMO LEMOS WITTER DUARTE GUERRA, UNIVERSIDADE FEDERAL DOS VALES DO JEQUITINHONHA E MUCURI FILIPE SOARES DE FREITAS, UNIVERSIDADE FEDERAL DOS VALES DO JEQUITINHONHA E MUCURI RAFAEL AUGUSTO DA COSTA PARRELLA, CNPMS MARIA LUCIA FERREIRA SIMEONE, CNPMS ALEXANDRE SOARES DOS SANTOS, UNIVERSIDADE FEDERAL DOS VALES DO JEQUITINHONHA E MUCURI.
Ano de publicação:	2025
Referência:	Ciência e Agrotecnologia, v. 49, e020524, 2025.
Conteúdo:	Sorghum (Sorghum bicolor L. Moench) has significant potential as a raw material in the bioenergy sector. Consequently, sorghum breeding programs have focused on developing cultivars with agronomic, chemical, and industrial traits most suitable for biofuel production and adaptable to diverse climate conditions. This study aimed to evaluate the adaptability and stability of sweet sorghum genotypes intended for biofuel production using Genotype and Genotype by Environment (GGE) biplots and select the most adapted and stable. The experiments were conducted across six environments located in Jaguariúna/SP, Nova Porteirinha/MG, Planaltina/DF, Sete Lagoas/MG, Sobral/CE, and Vilhena/RO. Twenty-five genotypes were assessed in a randomized complete block design with three replications, with plots consisting of two 5-m rows. Tons of stalks per hectare (TSH) (t ha-1), total soluble solids (TSS) (°Brix), and tons of Brix per hectare (TBH) (t ha-1) were analyzed using analysis of variance, GGE biplots, and Scott-Knott test. We found significant differences (p<0.01) for genotype, environment, and genotype×environment interactions. The environments most effective in discriminating the genotypes and their representativeness were Vilhena, Planaltina, and Sete Lagoas for TSS; Vilhena and Sete Lagoas for TSH; and Nova Porteirinha, Vilhena, and Sete Lagoas for TBH. Considering all traits, as well as adaptability and stability, the genotypes with the best performance were CMSXS5042, CMSXS5022, CMSXS5040, and CMSXS5041. Therefore, GGE biplots successfully identified the environments and the most adapted, stable, and promising sorghum genotypes for biofuel production.
Thesagro:	Sorgo Sorghum Bicolor Melhoramento Vegetal Biocombustível
Palavras-chave:	GGE biplot
Digital Object Identifier:	http://dx.doi.org/10.1590/1413-7054202549020524
Tipo do material:	Artigo de periódico
Acesso:	openAccess
Aparece nas coleções:	Artigo em periódico indexado (CNPMS)