Evaluation of performance stability of lentil genotypes using AMMI, BLUP, MTSI and MGIDI Indexes

پژوهش‌های حبوبات ایران

Articles in Press, Accepted Manuscript, Available Online from 16 August 2025   

Document Type: Original Article

DOI: 10.22067/ijpr.2025.91978.1105

Authors

Payam Pezeshkpour^{* 1}; Reza Amiri¹; Amin Namdari²; Amir Mirzaei³; Asghar Mehraban⁴

¹Crop and Horticultural Science Research Department, Lorestan Agricultural and Natural Resources Research and Education Center, AREEO, Khorramabad, Iran.

²Dryland Agricultural Research Institute, Agricultural Research Education and Extension Organization (AREEO), Gachsaran, Iran

³Crop and Horticultural Science Research Department, Iam Agricultural and Natural Resources Research and Education Center, AREEO, Ilam, Iran.

⁴Crop and Horticultural Science Research Department, Ardabil Agricultural and Natural Resources Research and Education Center, AREEO, Moghan, Iran.

Abstract

Lentil is considered one of the most important legumes due to its protein percentage and high nutritional value. This research was conducted to identify stable and high-yielding lentil genotypes. In this study, fourteen advanced lentil genotypes along with two check cultivars (Gachsaran and Sepehr) were evaluated based on randomized complete blocks design with three replications at Khorramabad, Gachsaran, and Ilam Agricultural Research Stations for two crop years (2020-2022), and at the Mughan Station for one crop year (2020-2021). The mosaic diagram showed that the contribution of the sum of genotype squares and the genotype-by-environment interaction (GEI) in the total sum of squares was 2.20 and 43.19%, respectively. The likelihood ratio test showed that the genotype by environment interaction was significant on grain yield, 100-grain weight, plant height, days to flowering, kernel filling rate, rainwater productivity, and weight of a single seed. The Scree test showed that the first two principal components significantly contributed to the GEI matrix derived from BLUP, as the first and second principal components explained 44.4% and 32.2% of the GEI variation, respectively. Overall, based on the results of all methods and simultaneous selection based on grain yield stability and all measured traits, genotypes 4, 2, 13, 14, 1, 7, and 10 were stable and superior to the average of all genotypes.

Keywords

Single value decomposition; Multi-trait stability index; Simultaneous selection; Heatmap plot; Mosaic plot

References