Evaluation of drought stress tolerance based on selection indices of advanced soybean genotypes in Moghan Plain

Document Type : Research Paper

Authors

1 Assistant Prof., Field and Horticultural Crops Sciences Research Department, Ardabil Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Parsabad, Iran.

2 Professor, Seed and Plant Improvement Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran

3 Assistant Professor, Seed and Plant Improvement Research Department, Seed and Plant Improvement Institute, Agricultural Research Education and Extension Organization (AREEO), Karaj, Iran.

10.22034/saps.2025.64018.3295

Abstract

Background and Objectives: Soybean (Glycine max (L.) Merr.) contributes 57% of the total oilseed production worldwide. Drought stress is one of the most critical factors, significantly impeding the growth and yield of soybean. Identification of drought-tolerant genotypes is one of the most important solutions to deal with water deficit in the context of climate change.
 
Materials and Methods: This research was carried out in split plots using a randomized complete block design with three replications at the research farm of the Agricultural and Natural Resources Research Center of Ardabil province (Moghan) in summer of 2023. Irrigation treatments including full irrigation (100% water requirement) and  drought stress (50% water requirement) were considered as main factors and 15 new genotypes were secondary factors. Genotypes were evaluated based on grain yield under control and drought stress conditions using the indices of stress sensitivity, tolerance, average productivity, yield stability, stress tolerance, geometric mean productivity, drought resistance, average relative yield, percentage of stress sensitivity and percentage of yield reduction.
 
Results: According to average rankings in tolerance indices G3, G9, G11 and G13 were identified as the most tolerant genotypes to water deficit stress. Cluster analysis separated the genotypes into six distinct groups. The G5 and the Kosar were in the first group and G3, G11, G13 and G9 genotypes were in the sixth group. Different views of the biplot diagrams identified G3, G9 and G13 were the most stable and the highest grain yielding genotypes in both environments.
 
Conclusion: Based on the average grain yield under drought stress and full-irrigation conditions, average tolerance indices, results of cluster analysis and views of the bi-plot diagrams G3, G9, G13 and G11 genotypes were identified as stable and tolerant genotypes, and can serve as valuable genetic resources in breeding programs.

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Main Subjects

References

 
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Journal of Agricultural Science and Sustainable Production
Volume 37, Issue 3
October 2027
Pages 151-165

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