Univrsity of Tehran Press Iranian Journal of Field Crop Science 2008-4811 56 1 2025 03 21 Assessing Grain Yield Stability of Rice Promising Lines using GGE-Biplot Analysis Assessing Grain Yield Stability of Rice Promising Lines using GGE-Biplot Analysis 37 50 101277 10.22059/ijfcs.2024.375029.655075 FA Soheila Nikzadeh Talebi Department of Plant Production and Genetic Engineering, Faculty of Agricultural Sciences, University of Guilan, Rasht, Iran. Babak Rabiei Department of Plant Production and Genetic Engineering, Faculty of Agricultural Sciences, University of Guilan, Rasht, Iran. Journal Article 2024 04 14 One of the critical stages in plant breeding programs is the genotype-by-environment interaction and the selection of high-yielding and stable genotypes. In this research, 20 pure rice lines were evaluated in a randomized complete block design with three replications over three years (2020, 2021, and 2022) at the Rice Research Institute of country (Rasht) for identification of high-yielding and stable genotypes. The analysis of variance of the main effects of year, genotype, and genotype-by-year interaction showed significant differences at 1% probability level. The results of stability analysis using the GGE-biplot method showed that the first two components described a total of 97.43% of the variation in genotype and genotype-environment interaction, indicating the validity of the GGE-biplot method in explaining performance variations of genotypes. Based on the biplot polygon, lines 9, 19, 2, 6, 3, and 16 were identified as the most responsive lines. In the genotype-focused scaling diagram, line 9 was the closest to the genotype ideal line. The analysis of other characteristics of the studied lines revealed that lines 9, 10, and 13 exhibited shorter maturity time and plant height, along with a more moderate and desirable cooking quality compared to other lines; therefore, these three lines are recommended for further experimentation to introduce a new variety. One of the critical stages in plant breeding programs is the genotype-by-environment interaction and the selection of high-yielding and stable genotypes. In this research, 20 pure rice lines were evaluated in a randomized complete block design with three replications over three years (2020, 2021, and 2022) at the Rice Research Institute of country (Rasht) for identification of high-yielding and stable genotypes. The analysis of variance of the main effects of year, genotype, and genotype-by-year interaction showed significant differences at 1% probability level. The results of stability analysis using the GGE-biplot method showed that the first two components described a total of 97.43% of the variation in genotype and genotype-environment interaction, indicating the validity of the GGE-biplot method in explaining performance variations of genotypes. Based on the biplot polygon, lines 9, 19, 2, 6, 3, and 16 were identified as the most responsive lines. In the genotype-focused scaling diagram, line 9 was the closest to the genotype ideal line. The analysis of other characteristics of the studied lines revealed that lines 9, 10, and 13 exhibited shorter maturity time and plant height, along with a more moderate and desirable cooking quality compared to other lines; therefore, these three lines are recommended for further experimentation to introduce a new variety. https://ijfcs.ut.ac.ir/article_101277_0643ddd1ca31d31466bcaf83bba9f33e.pdf