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Agriculture and Biomedical OPEN ACCESS

Modern Methods for The Comprehensive Assessment of Physiological-Biochemical Traits, Seed Quality and Oil Productivity in The Drought Adaptation of Soybean Genotypes

Abduganiyeva M. Mumtoza
Researcher, Scientific Experimental Station of Oilseed and Fiber Crops, Uzbekistan
Khakimov E. Abdumurod
Senior Researcher, Scientific Experimental Station of Oilseed and Fiber Crops, PhD in Agricultural Sciences, Uzbekistan
DOI Crossref DOI 10.37547/tajabe/Volume08Issue05-12
tajabe 2026
VOL. 8 / NO. 05 MAY
FULL TEXT PP. 71-77
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VOLUME 8
ISSUE 05
YEAR 2026
PAGES 71-77
RESEARCH OVERVIEW

Abstract

Soybean (Glycine max (L.) Merr.) is one of the world's major sources of protein and vegetable oil, while its yield and seed quality are highly sensitive to water deficit. The effects of drought are not limited to yield reduction; drought also alters leaf water status, gas exchange, the photosynthetic apparatus, oxidative stress, osmotic adjustment, antioxidant defense, root architecture, seed protein and oil contents, and the fatty acid profile. The aim of this review is to systematize physiological, biochemical, seed-quality, molecular-genetic, and high-throughput phenotyping methods used for the comprehensive assessment of drought adaptation in soybean genotypes. In modern approaches, selection based on a single trait is insufficient; greater precision can be achieved by integrating relative water content, leaf water potential, photosynthesis and stomatal conductance, chlorophyll fluorescence, proline, malondialdehyde and antioxidant enzymes with NIR-based protein and oil analysis, gas-chromatographic fatty acid profiling, qRT-PCR/RNA-seq, GWAS, metabolomics, UAV multispectral imaging, and machine-learning methods. Analysis of the literature indicates that the most appropriate strategy for identifying drought-tolerant genotypes is the joint evaluation of yield retention under stress, physiological stability, and seed-quality traits.

RESEARCH TOPICS

Keywords

Glycine max drought physiological traits, proline
SOURCES & SCHOLARSHIP

References

  1. Burner N., Harris D.K., Nyam C.K., Ahmad I., Lee N., Suh J.H., Fallen B., Li Z. Drought tolerance in soybean: genetics, metabolomics, remote sensing, and breeding for enhanced drought tolerance. Frontiers in Plant Science. 2026;17:1733525. doi:10.3389/fpls.2026.1733525.
  2. Markulj Kulundžić A., Josipović A., Matoša Kočar M., et al. Physiological insights on soybean response to drought. Agricultural Water Management. 2022;268:107620.
  3. Alzahrani Y. Evaluation of drought and salinity tolerance potentials of different soybean genotypes based upon physiological, biochemical, and genetic indicators. Frontiers in Plant Science. 2024;15:1466363. doi:10.3389/fpls.2024.1466363.
  4. Kakati J.P., Fallen B.D., Armstrong P.R., Yan S., Bridges W., Narayanan S. High-protein soybean lines with stable seed protein content under heat and drought stresses. Journal of Agriculture and Food Research. 2024;18:101469. doi:10.1016/j.jafr.2024.101469.
  5. Poudel S., Vennam R.R., Sankarapillai L.V., Liu J., Reddy K.R., Wijewardane N.K., Mukhtar M.S., Bheemanahalli R. Negative synergistic effects of drought and heat during flowering and seed setting in soybean. Environmental and Experimental Botany. 2024;222:105769. doi:10.1016/j.envexpbot.2024.105769.
  6. Wang X., Wu Z., Zhou Q., Wang X., Song S., Dong S. Physiological response of soybean plants to water deficit. Frontiers in Plant Science. 2021;12:809692.
  7. Arya H., Singh M.B., Bhalla P.L. Towards developing drought-smart soybeans. Frontiers in Plant Science. 2021;12:750664.
  8. Wang L., He P., Hui M., Li H., Sun A., Yin H., Gao X. Metabolomics combined with transcriptomics and physiology reveals the regulatory responses of soybean plants to drought stress. Frontiers in Genetics. 2024;15:1458656. doi:10.3389/fgene.2024.1458656.
  9. Wijewardana C., Reddy K.R., Bellaloui N. Soybean seed physiology, quality, and chemical composition under soil moisture stress. Food Chemistry. 2019;278:92-100. doi:10.1016/j.foodchem.2018.11.035.
  10. Jiang G.-L. Comparison and application of non-destructive NIR evaluations of seed protein and oil content in soybean breeding. Agronomy. 2020;10(1):77. doi:10.3390/agronomy10010077.
  11. Cui X., Tang M., Li L., et al. Expression patterns and molecular mechanisms regulating drought tolerance of soybean conferred by transcription factor gene GmNAC19. International Journal of Molecular Sciences. 2024;25(4):2396. doi:10.3390/ijms25042396.
  12. Li S., Cao Y., Wang C., Yan C., Sun X., Zhang L., Wang W., Song S. Genome-wide association mapping for yield-related traits in soybean (Glycine max) under well-watered and drought-stressed conditions. Frontiers in Plant Science. 2023;14:1265574. doi:10.3389/fpls.2023.1265574.
  13. Liang H., Zhou Y., Lu Y., Pei S., Xu D., Lu Z., Yao W., Liu Q., Yu L., Li H. Evaluation of soybean drought tolerance using multimodal data from an unmanned aerial vehicle and machine learning. Remote Sensing. 2024;16(11):2043. doi:10.3390/rs16112043.
  14. Pawar P.S., Wu C., Harrison D., Rogers D., Fallen B., Canella Vieira C. UAV-based phenotyping outperforms visual canopy wilting for evaluating soybean drought tolerance and yield retention under rainfed conditions. Frontiers in Plant Science. 2026;17:1835549. doi:10.3389/fpls.2026.1835549.
  15. Oliveira C.A. de, Vedana N.G., Mendonça W.A., Gonçalves J.V.F., Matos D.H.S. de, Furlanetto R.H., et al. High-throughput identification and prediction of early stress markers in soybean under progressive water regimes via hyperspectral spectroscopy and machine learning. Remote Sensing. 2025;17(20):3409. doi:10.3390/rs17203409.