Univrsity of Tehran Press Iranian Journal of Field Crop Science 2008-4811 53 3 2022 09 23 Evaluation the grain yield stability of promising rainfed lentil genotypes using parametric and non-parametric statistics Evaluation the grain yield stability of promising rainfed lentil genotypes using parametric and non-parametric statistics 153 167 91075 10.22059/ijfcs.2021.330502.654854 FA Amin Namdari Dryland Agricultural Research Institute, Kohgiluyeh and Boyer-Ahmad Agricultural and Natural Resources Research and Education Center Agricultural Research, Education and Extension Organization (AREEO), Gachsaran, Iran. Payam Pezeshkpour Dryland Agricultural Research Institute, Lorestan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Khoram Abad, Iran. Asghar Mehraban Dryland Agricultural Research Institute, Ardabil Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Moghan, Iran. 0000-0001-5937-9789 Amir Naseri Dryland Agricultural Research Institute, Ilam Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Ilam, Iran. 0000-0002-6569-3413 Behruz Vaezi Dryland Agricultural Research Institute, Kohgiluyeh and Boyer-Ahmad Agricultural and Natural Resources Research and Education Center Agricultural Research, Education and Extension Organization (AREEO), Gachsaran, Iran. Hossein Nazarli Dryland Agricultural Research Institute, Zanjan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Zanjan, Iran. Journal Article 2021 09 12 Identification of high-yielding genotypes with adaptation to a wide range of environments is one of the major goals of crop breeding programs. This research was conducted as randomized complete block design on 16 selected lentil genotypes in four regions of Gachsaran, Khorramabad, Moghan and Ilam, during 2018-2019 and 2019-2020 cropping years. Genotypes stability was assessed through using parametric and non-parametric statistics. Stable genotypes based on CVi had lower yield than average. Regarding regression coffecicient and deviation and based on the yield in total, genotype 10 was determined as the most stable genotype. Rick equivalence and Chokella variance statistics identified genotypes 12, 1, and 10 as stable genotypes. Based on Hanson (Di) statistic, genotypes 12 and 13 (low yield average) and 9 and 10 (high yield average) and based on coefficient of determination, G9, G12 and G10 were more stable genotypes. Based on Kang index (YSi), genotypes 9, 10, and 2 were identified as the stable genotypes. Regarding the results of nonparametric statistics of Nasar and Hyun (Si 1, 2, 3, 6) and Tanarazo (NPi 1, 2, 3, 4), more stable genotypes had lower yield than average. According to TOP statistic, 9, 11, and 5 genotypes were ranked in the top. The SIIG index also identified genotypes 4, 3, 13 and 10 as the most stable genotypes, of which only genotype 10 had higher yield than the average. Identification of high-yielding genotypes with adaptation to a wide range of environments is one of the major goals of crop breeding programs. This research was conducted as randomized complete block design on 16 selected lentil genotypes in four regions of Gachsaran, Khorramabad, Moghan and Ilam, during 2018-2019 and 2019-2020 cropping years. Genotypes stability was assessed through using parametric and non-parametric statistics. Stable genotypes based on CVi had lower yield than average. Regarding regression coffecicient and deviation and based on the yield in total, genotype 10 was determined as the most stable genotype. Rick equivalence and Chokella variance statistics identified genotypes 12, 1, and 10 as stable genotypes. Based on Hanson (Di) statistic, genotypes 12 and 13 (low yield average) and 9 and 10 (high yield average) and based on coefficient of determination, G9, G12 and G10 were more stable genotypes. Based on Kang index (YSi), genotypes 9, 10, and 2 were identified as the stable genotypes. Regarding the results of nonparametric statistics of Nasar and Hyun (Si 1, 2, 3, 6) and Tanarazo (NPi 1, 2, 3, 4), more stable genotypes had lower yield than average. According to TOP statistic, 9, 11, and 5 genotypes were ranked in the top. The SIIG index also identified genotypes 4, 3, 13 and 10 as the most stable genotypes, of which only genotype 10 had higher yield than the average. https://ijfcs.ut.ac.ir/article_91075_12c8b5aad9628f914298162198990ed5.pdf