Introducing grass pea genotypes with wide
adaptability across diverse environments is important. Dry
forage yield of 16 grass pea genotypes, tested in a RCBD design
with three replicates across 4 locations over 3 seasons in
Iran. The GGE biplot method based on SREG model facilitated
a visual evaluation of the best genotypes. The first two principal
components accounted for 77 % of the GE interaction and
revealed six winning genotypes and four mega-environments.
The average location coordinate (ALC) was used to examine
both yield performance and stability and indicated IFLA-
1913, IFLA-1961, IFLA-1812, and IFLA-2025 were the best
genotypes. Based on the ideal-genotype approach, genotype G5
was better than all other genotypes and showed both high forage
yield and stability across locations. According to G + GE
sources of variations, the genotypes (IFLA-1913, IFLA-1961,
IFLA-1812, and IFLA-2025) were the most suitable varieties
for the grass pea-producing regions in semi-arid and rain-fed
conditions. An ideal location should be both discriminating of
the genotypes and representative of the average location, but we
could not find such location in this research. Results confirmed
that G5 (IFLA-1961) has high stability and high yield performance
(4.92 t ha-1), and could introduce as favorable genotype
for commercial variety release.