Univrsity of Tehran Press Iranian Journal of Field Crop Science 2008-4811 53 2 2022 06 22 Interaction effects of genotype × environment using path analysis and mixed models in barley superior lines Interaction effects of genotype × environment using path analysis and mixed models in barley superior lines 177 191 89486 10.22059/ijfcs.2021.323545.654826 FA Ali Barati Seed and Plant Improvement Department, Agricultural Research, Education and Extension Organization (AREEO), Karaj, iran 0009-0005-3783-3713 Hassan Zali Assistant professor, Seed and Plant Improvement Department, Fars Agricultural and Natural Resources Research Center, Agricultural Research, Education and Extension Organization (AREEO), Darab, iran Alireza Pour-Aboghadare Seed and Plant Improvement Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran. 0000-0001-5782-5327 Ahmad Gholipour Crop and Horticultural Science Research Department, Golestan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Gonbad, iran Shirali Koohkan 8. Crop and Horticultural Science Research Department, Sistan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Zabol, iran Kamal Shahbazi Ardabil Agricultural and Natural Resources Research and Education Center, AREEO, Parsabad, Iran Akbar Mazooghian Crop and Horticultural Science Research Department, Ahvaz Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Ahvaz, iran Mehdi Jabari 9. Crop and Horticultural Science Research Department, Agricultural Research, Education and Extension Organization (AREEO), Karaj, iran Omid Poodineh 10. Crop and Horticultural Science Research Department, Zabol Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Zabol, iran Masoome Kheirgoo Crop and Horticultural Science Research Department, Golestan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Gonbad, iran 0000-0002-8893-5446 Journal Article 2021 05 11 This study was conducted to investigate the yield stability and determine the portion of some morpho-phonological traits in the GEI effect in barley. For this purpose, 20 barley genotypes were investigated at five tropical research stations of Iran during the 2018-2020 cropping seasons in a RCBD with three replications. Stability analysis was performed using two set of stability models including parametric statistics and REML/BLUP-based statistics. The results of parametric were pooled in genotype SIIG as a unique stability index. Morpho-phonological data were analyzed using the path analysis. The days-to heading (X₁) and maturity (X₂), plant height (X₃), and 1000-kernels weight (X₄) were considered to be sequential traits for the development of grain yield productivity (Y). Based on the results, G6, G2, G3, G5, G13, G17, G11, G12 and G14 genotypes with greater grain yield than average grain yields and high values of stability statistics were identified as desirable genotypes in terms of yield performance and stability. Furthermore, three BLUP-based statistics, HMGV, RPGV and HMRPGV, recognized G20, G6, G2, G3, G11, G12 and G17 genotypes as the high-yielding and stable genotypes. In total, G6, G3 and G11 lines, which were superior in both methods, were selected. The results of path analysis revealed that DHE has a positive relationship with grain yield; therefore more emphasis should be placed on selection based on later spike emergence to improve the yield potential of barley in warm regions of Iran. This study was conducted to investigate the yield stability and determine the portion of some morpho-phonological traits in the GEI effect in barley. For this purpose, 20 barley genotypes were investigated at five tropical research stations of Iran during the 2018-2020 cropping seasons in a RCBD with three replications. Stability analysis was performed using two set of stability models including parametric statistics and REML/BLUP-based statistics. The results of parametric were pooled in genotype SIIG as a unique stability index. Morpho-phonological data were analyzed using the path analysis. The days-to heading (X₁) and maturity (X₂), plant height (X₃), and 1000-kernels weight (X₄) were considered to be sequential traits for the development of grain yield productivity (Y). Based on the results, G6, G2, G3, G5, G13, G17, G11, G12 and G14 genotypes with greater grain yield than average grain yields and high values of stability statistics were identified as desirable genotypes in terms of yield performance and stability. Furthermore, three BLUP-based statistics, HMGV, RPGV and HMRPGV, recognized G20, G6, G2, G3, G11, G12 and G17 genotypes as the high-yielding and stable genotypes. In total, G6, G3 and G11 lines, which were superior in both methods, were selected. The results of path analysis revealed that DHE has a positive relationship with grain yield; therefore more emphasis should be placed on selection based on later spike emergence to improve the yield potential of barley in warm regions of Iran. https://ijfcs.ut.ac.ir/article_89486_3a6061966d28f3c94afbd77dfb66832f.pdf