Evaluation of yield stability of barley promising lines using AMMI and SHMM methods

Document Type : Research Paper

Authors

1 Research Assist. Prof., Dept. of Cereal Research, Seed and Plant Improvement Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran

2 Research Assist. Prof., Dept. of Crop and Horticultural Science Research, Fars Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Darab, Iran

3 Dept. of Crop and Horticultural Science Research, Khuzestan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Ahvaz, Iran

4 Research Assist. Prof., Dept. of Crop and Horticultural Science Research, Sistan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Zabol, Iran

5 Research Instructor, Dept. of Crop and Horticultural Science Research, Golestan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Gonbad, Iran

6 Research Assist. Prof., Dept. of Crop and Horticultural Science Research, Ardabil Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Moghan, Iran

Abstract

To determine the yield stability of barley promising lines, 17 lines along with three control genotypes were evaluated in five warm zone stations during two years (2017-2019) in randomized complete block design with three replications and their stability was determined using AMMI (additive main effects and multiplicative interaction) and SHMM (Shifted multiplicative model). Analysis of variance of grain yield using AMMI model showed that the effect of genotype, environment and genotype × environment interaction was significant at 1% probability level. Genotype × environment interaction analysis based on AMMI model showed that the four main components of interaction were significant at the level of 1% probability. These four components explained 84.7% of the changes in genotype × environment interaction. The lowest value of RMS PD was related to AMMI1 model. Therefore, the interpretation of the results using the AMMI1 model is more valid than the AMMI2 model. According to the AMMI2 model, lines WB-96-8 and WB-96-9 had specific adaptability with the Zabol region and line WB-96-12 had specific adaptability with Moghan. Lines WB-96-10, WB-96-17, WB-96-18 and WB-96-19 were the high-performance lines in this study. The grouping of locations based on the SHMM model created two groups. The first group includes Darab, Ahvaz and Zabol, which are part of the warm zone stations in the south of the country. The second group included Moghan and Gonbad stations (warm northern zone).

Keywords


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