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....

Given the substantial variation in global wheat yield, insufficient research cultivar selection for climate change, and lack of suitable germplasm sustainable agroecosystems, there is a requisite soft genotypes, with stable grain yield as well quality parameters. The present study was aimed at genotype evaluation (GGE biplot “mean performance versus stability”) not only but also technological, ...

The genotype–environment interaction causes difficulties in selecting stable and ideal soybean cultivars across crop rotation models. Thus, this study aimed to provide the best estimates of yields every model for recommendations rainfed agroforestry system using GGE biplot EBLUP. In study, productivity stability 15 were evaluated four models, that is, planting after fallow (F–S), maize (M–S), r...