University of Tabriz Journal of Agricultural Science and Sustainable Production 2476-4310 33 3 2023 10 07 Selection of barley superior promising lines using selection indexes of multi-trait Selection of barley superior promising lines using selection indexes of multi-trait 1 16 15382 10.22034/saps.2021.49073.2773 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 Alireza Pour-Aboughadareh Seed and Plant Improvement Department, Agricultural Research, Education and Extension Organization (AREEO), Karaj, iran 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 Kohkan 7. Crop and Horticultural Science Research Department, Sistan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Zabol, 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 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 Akbar Marzooghian Crop and Horticultural Science Research Department, Ahvaz Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Ahvaz, iran Journal Article 2021 11 22 Background and objectives: The aim of this study was to select of the barley superior lines based on some of morpho-phenological traits using various indices based on REML/BLUP model and as well as the SIIG index and comparison of these indices. Materials and methods: A set of 17 promising lines along two checks were evaluated in a RCBD with three replications at three research stations including Zabol, Darab, and Gonbad Kavous during the 2020-2021 cropping year. Results: The results showed that there was a significant difference between the test regions and genotypes in terms of all measured traits. The results obtained by REML model indicated that the highest and lowest heritability values were related to 1000-grain weight and grain filling period, respectively. The MTSI index identified lines G9, G2 and G3 as superior lines, while the FAI-BLUP index identified G13, G11 and G3 as the best lines based on their traits and grain yield. Based on the SIIG index, lines G7, G2, G8 and G17 were identified as the most superior lines. Conclusion: In general, by comparing the results obtained from different indices, selected lines with SIIG index due to high grain yield and high 1000-grain weight were chosen as selected genotypes for complementary tests. In addition, the selected genotypes using FAI-BLUP and MGIDI indices were early maturity and had a high 1000-grain weight, but their grain yield were lower than both checks of experiment. Background and objectives: The aim of this study was to select of the barley superior lines based on some of morpho-phenological traits using various indices based on REML/BLUP model and as well as the SIIG index and comparison of these indices. Materials and methods: A set of 17 promising lines along two checks were evaluated in a RCBD with three replications at three research stations including Zabol, Darab, and Gonbad Kavous during the 2020-2021 cropping year. Results: The results showed that there was a significant difference between the test regions and genotypes in terms of all measured traits. The results obtained by REML model indicated that the highest and lowest heritability values were related to 1000-grain weight and grain filling period, respectively. The MTSI index identified lines G9, G2 and G3 as superior lines, while the FAI-BLUP index identified G13, G11 and G3 as the best lines based on their traits and grain yield. Based on the SIIG index, lines G7, G2, G8 and G17 were identified as the most superior lines. Conclusion: In general, by comparing the results obtained from different indices, selected lines with SIIG index due to high grain yield and high 1000-grain weight were chosen as selected genotypes for complementary tests. In addition, the selected genotypes using FAI-BLUP and MGIDI indices were early maturity and had a high 1000-grain weight, but their grain yield were lower than both checks of experiment.

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