Evaluation of Seed Yield Stability of Groundnut Genotypes by Multi-Characteristic Selection Indicators

This research was done to study the grain yield stability of 11 groundnut genotypes based on a randomized complete blocks design with three replications at three different research stations in Guilan province, Iran, during two growing seasons of 2020 and 2021. The combined analysis of variance indicated that the main effects of genotype (G), environment (E), and their interactions (G×E) were highly significant (p<0.01). The principal component analysis (PCA) based on the rank correlation matrix indicated that the first two PCAs explained 76.6% of the variance of the original variables. Based on the biplot analysis, the non-parametric stability statistics were classified into four groups. The clustering of the genotypes according to the mean yield and non-parametric stability statistics showed four main clusters. The ideal genotype selection indicator (IGSI) results, calculated based on all non-parametric methods, indicated that the genotypes 178, 128, 201, 176, and 115 having the maximum IGSI values, were the most stable genotypes. In addition, according to the multi-trait genotype-ideotype index (MGIDI), genotypes 178 and 176 were introduced as the most stable genotypes, and the 115, 201, and 128 genotypes followed the next.