Evaluation of Mean Performance and Stability of Lentil Genotypes According to Combination of Additive Main Effects and Multiplicative Interaction, and Best Linear Unbiased Prediction Methods

This research (2020-2022) aimed to evaluate the interaction of genotype x environment with seed yield and stability of performance for 19 lentil genotypes and cultivars using additive main effects and multiplicative interaction (AMMI) and best linear unbiased prediction (BLUP) in a rainfed, semi-temperate region. Results of the likelihood ratio test (LRT) showed significant effects of genotype and genotype x environment interaction on seed yield, suggesting the best BLUP for datasets. Based on the AMMI stability value (ASV), Genotypes 8, 2, 12, 10, and 5 were stable in performance. According to two principal components of AMMI, Genotypes 10, 11, and 2 were stable in performance. Mosaic graph indicated that genotype and genotype x environment interaction explained 15.45% and 84.55% of total variance, respectively. The weighted average of mean performance (WAASBY) index according to BLUP showed high-yielding and performance stability of Genotypes 6, 12, and 15. Therefore, the WAASBY index was determined to be the best index to evawluate stable lentil genotypes across different environments.