University of Tabriz Journal of Agricultural Science and Sustainable Production 2476-4310 32 1 2022 04 16 Using selection index of ideal genotype (SIIG) in selection of barley promising lines Using selection index of ideal genotype (SIIG) in selection of barley promising lines 293 308 14551 10.22034/saps.2021.44491.2633 FA Hassan Zali 7. Crop and Horticultural Science Research Department, Fars Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Darab, iran Ali Barati Faculty member of department of cereal research of seed and plant improvement institute, Karaj Mehdi Jabari 7. Crop and Horticultural Science Research Department, Fars Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Darab, iran Journal Article 2021 02 10 Background and objectives: The purpose of this study was to evaluation of the application of SIIG index in the study of phenotypic variation and selection barley promising lines with desirable grain yield and agronomic traits. Materials and methods: A set of 107 pure lines in the non-repeating Augment design with four controls in three blocks were evaluated during of 2019-20 cropping year in the farm of Darab Agricultural and Natural Resources Research Station. Results: The results of REML analysis showed that, the lowest heritability of traits was related to 1000-kernel weight (0.417) and the highest heritability was related to days to maturity and days to flowering (0.891 and 0.887), respectively. The results of SIIG index showed that lines 102 and 9 with the highest (0.696) and lowest (0.200) values of SIIG were the best and weakest lines in this study, respectively. In order to selecting the best lines in terms of grain yield, 1000-kernel weight, plant height, days to flowering and days to maturity, lines were grouped according to SIIG index in four categories. The results showed that the SIIG index could well classify genotypes based on two traits of grain yield and 1000-kernal weight. Conclusion: The results of grouping the lines according to the SIIG index showed all lines of group one and group two (except line 55) and lines number 13, 116, 29, 7, 77, 89 and 72 of Group three were the best in this study and can be considered for further testing, including compatibility testing. Background and objectives: The purpose of this study was to evaluation of the application of SIIG index in the study of phenotypic variation and selection barley promising lines with desirable grain yield and agronomic traits. Materials and methods: A set of 107 pure lines in the non-repeating Augment design with four controls in three blocks were evaluated during of 2019-20 cropping year in the farm of Darab Agricultural and Natural Resources Research Station. Results: The results of REML analysis showed that, the lowest heritability of traits was related to 1000-kernel weight (0.417) and the highest heritability was related to days to maturity and days to flowering (0.891 and 0.887), respectively. The results of SIIG index showed that lines 102 and 9 with the highest (0.696) and lowest (0.200) values of SIIG were the best and weakest lines in this study, respectively. In order to selecting the best lines in terms of grain yield, 1000-kernel weight, plant height, days to flowering and days to maturity, lines were grouped according to SIIG index in four categories. The results showed that the SIIG index could well classify genotypes based on two traits of grain yield and 1000-kernal weight. Conclusion: The results of grouping the lines according to the SIIG index showed all lines of group one and group two (except line 55) and lines number 13, 116, 29, 7, 77, 89 and 72 of Group three were the best in this study and can be considered for further testing, including compatibility testing.

https://sustainagriculture.tabrizu.ac.ir/article_14551_7336ef8ebeb56ab0731389c58ba647ad.pdf