University of Tabriz Journal of Agricultural Science and Sustainable Production 2476-4310 35 2 2025 08 21 Evaluation of performance stability of chickpea genotypes using AMMI, BLUP, MTSI and MGIDI Indexes Evaluation of performance stability of chickpea genotypes using AMMI, BLUP, MTSI and MGIDI Indexes 43 62 20213 10.22034/saps.2024.60435.3177 FA Payam Pezeshkpour Crop and Horticultural Science Research Department, Lorestan Agricultural and Natural Resources Research and Education Center, AREEO, Khorramabad, Iran Reza Amiri Crop and Horticultural Sciences Research Department, Lorestan Agricultural and Natural Resources Research and Education Center, AREEO, Khorramabad, Iran Adel Jahangiri Dryland Agricultural Research Institute, Sararood Branch, Agricultural Research, Education and Extension (AREEO), Kermanshah, Iran Journal Article 2024 02 06 <strong>Background & Objectives</strong>: Chickpea is considered one of the most important legumes due to their protein percentage and high nutritional value.  Multi-trait stability selection (MTSI) helps to better evaluate plant genotypes and achieve more accurate results. This research was done to identify stable and high-yielding chickpea genotypes. <strong> </strong> <strong>Material and Methods</strong>: In this study, thirteen advanced chickpea genotypes were evaluated along with two check varieties (Mansour and Bivanij) based on randomized complete block design with three replications at Sarab Changai Agricultural and Natural Resources Research Station Khoramabad Lorestan for three crop years (2020-2022). Seeds were sown in four lines of four meters in length and 30 cm between the lines. grain yield, 100-seed weight, plant height, number of days to 50% flowering, number of days to maturity, grain filling rate and grain filling period, rainfall efficiency, grain yield formation rate, and single seed weight were measured for each genotype in different years. All statistical analyses were performed using the “Metan” and “GGE” multi-environmental analysis packages in R software. <strong> </strong> <strong>Results</strong>: The mosaic diagram showed that the contribution of the sum of squares of genotype and the genotype × environment in the total sum of squares was 29.97 and 36.79%, respectively. The Likelihood Ratio Test (LRT) showed that the effect of genotype by environment interactions (GEI) was significant on grain yield, 100-seed weight, plant height, number of days to flowering, number of days to maturity, grain filling rate and grain filling period. The Scree test showed that the first two principal components had a significant contribution to the GEI matrix derived from BLUP, as the first and second principal components explained 69.5% and 30.58% of the GEI variation respectively. <strong> </strong> <strong>Conclusion</strong>: In general, based on the results of all methods and simultaneous selection based on grain yield stability and all measured traits (MTSI), genotypes 2(X010TH163K2) and 12(X010TH72K2) were stable and superior genotypes, compared to the average of the total traits of the genotypes. <strong>Background & Objectives</strong>: Chickpea is considered one of the most important legumes due to their protein percentage and high nutritional value.  Multi-trait stability selection (MTSI) helps to better evaluate plant genotypes and achieve more accurate results. This research was done to identify stable and high-yielding chickpea genotypes. <strong> </strong> <strong>Material and Methods</strong>: In this study, thirteen advanced chickpea genotypes were evaluated along with two check varieties (Mansour and Bivanij) based on randomized complete block design with three replications at Sarab Changai Agricultural and Natural Resources Research Station Khoramabad Lorestan for three crop years (2020-2022). Seeds were sown in four lines of four meters in length and 30 cm between the lines. grain yield, 100-seed weight, plant height, number of days to 50% flowering, number of days to maturity, grain filling rate and grain filling period, rainfall efficiency, grain yield formation rate, and single seed weight were measured for each genotype in different years. All statistical analyses were performed using the “Metan” and “GGE” multi-environmental analysis packages in R software. <strong> </strong> <strong>Results</strong>: The mosaic diagram showed that the contribution of the sum of squares of genotype and the genotype × environment in the total sum of squares was 29.97 and 36.79%, respectively. The Likelihood Ratio Test (LRT) showed that the effect of genotype by environment interactions (GEI) was significant on grain yield, 100-seed weight, plant height, number of days to flowering, number of days to maturity, grain filling rate and grain filling period. The Scree test showed that the first two principal components had a significant contribution to the GEI matrix derived from BLUP, as the first and second principal components explained 69.5% and 30.58% of the GEI variation respectively. <strong> </strong> <strong>Conclusion</strong>: In general, based on the results of all methods and simultaneous selection based on grain yield stability and all measured traits (MTSI), genotypes 2(X010TH163K2) and 12(X010TH72K2) were stable and superior genotypes, compared to the average of the total traits of the genotypes. https://sustainagriculture.tabrizu.ac.ir/article_20213_63b7f0b435a2b8cdbb878ac8414e9370.pdf