Identification of mega?environments for grain sorghum in Brazil using GGE biplot methodology

The performance of genotypes in a wide range environments can be affected by extensive genotype × environment (G E) interactions, making the subdivision testing into relatively more homogeneous groups locations (mega-environments) necessary strategy. main effects + interaction biplot method (GGE) allows identification mega-environments and selection stable adapted to specific mega-environments. objectives this study were identify regarding sorghum [Sorghum bicolor (L.) Moench] grain yield demonstrate that GGE essential for conducting tests different A total 22 competition trials conducted over three crop seasons across several production Brazil. 25, 22, 30 evaluated during first, second, third seasons, respectively. After identifying presence G E data subjected adaptability stability analyses using method. phenotypic correlation network was used express functional relationships between environments. found an efficient approach Brazil, selecting representative discriminative environments, recommending adaptive genotypes.