Determination of effective traits in the yield of promising soybean cultivars and lines under drought stress using multivariate methods

Document Type : Research Paper

Authors

1 Master's student, Department of Plant Genetics and Production Engineering, Department of Plant Genetics and Breeding, Faculty of Agriculture and Natural Resources, Mohaghegh Ardabili University

2 Professor, Department of Production Engineering and Plant Genetics, Faculty of Agriculture and Natural Resources, Mohaghegh Ardabili University

3 Associate Professor, Department of Production Engineering and Plant Genetics, Faculty of Agriculture and Natural Resources, Mohaghegh Ardabili University

4 faculty members of Moghan Agriculture and Natural Resources Research Center

Abstract

Background and Objective: Drought stress is a major limitation in the production and sustainable performance of plant products, including soybeans, and identifying drought-tolerant genotypes can be a valuable solution in dealing with this problem.
Materials and methods: The experiment was conducted in the form of a split plot based on a randomized complete block design in 2019 in Ahar city. The treatments included irrigation levels (1- no stress, 2- stress after flowering, 3- stress after podding) as the main factor and 10 genotype of soybean as secondary factors were implemented in four replications.
Findings: With the increase of stress from the flowering stage to the fruiting stage, the yield and yield components decreased due to the increase in the duration of drought stress and showed a decrease compared to the non-stressed conditions.The non-stress treatment (normal) had 11.75% more yield than the stress treatment after podding. Aryan line and DPX variety were selected as superior varieties and Kausar, Parsa and Saba lines were selected as weak lines. Under normal conditions, the trait number of fertile stems was entered into the model, under stress conditions, after flowering, the trait number of stems per plant was entered into the model, and under stress conditions, after seeding, straw and stubble yield traits and seed weight per stem were entered into the model, and the first The variable entered into the model at this level of stress was the yield of straw and stubble,

Keywords

Main Subjects

References

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JOURNAL OF AGRICULTURAL SCIENCE AND SUSTAINABLE PRODUCTION
Volume 34, Issue 1
April 2024
Pages 171-186

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