Research on Abiotic Stresses
Research targeting drought, flooding, temperature and nutrient stress constitutes a central theme. Singh’s team employs field and controlled environment platforms to dissect genotype-by-environment interactions, phenotype adaptive root and shoot traits, and identify QTL underlying abiotic stress tolerance. A notable contribution was the conceptualization and development of Near-Field Abiotic Stress Tolerance (N-FAST) system for screening multiple abiotic stress and nutrient deficiency traits. Results have elucidated mechanisms of drought adaptation and flooding tolerance and have been translated into high yielding and stress-adapted soybean lines with enhanced resilience. Precision phenotyping and predictive modeling advance understanding of plasticity in response to environmental variability, with actionable insights for breeding weather-resilient cultivars.
Papers of interest:
- Jones SE, S Dutta, TT Ayanlade, B Ganapathysubramanian, S Sarkar, B Fallen, AK Singh. 2025. Assessing phenotypic diversity and sensor‐based metrics for drought response in soybean. Crop Science. 65(3). e70098. https://doi.org/10.1002/csc2.70098
- Young TJ, S Chiranjeevi, D Elango, S Sarkar, AK Singh, A Singh, B Ganapathysubramanian, TZ Jubery. Soybean Canopy Stress Classification Using 3D Point Cloud Data. Agronomy. 2024; 14(6):1181. https://doi.org/10.3390/agronomy14061181
- Jones SE,, TT Ayanlade, B Fallen, TZ Jubery, A Singh, B Ganapathysubramanian, S Sarkar, AK Singh. (2024). Multi-sensor and multi-temporal high-throughput phenotyping for monitoring and early detection of water-limiting stress in soybean. The Plant Phenome Journal. V7(1) e70009. Dec, 2024. https://doi.org/10.1002/ppj2.70009
- Assefa T, J Zhang, RV Chowda-Reddy, AN Moran Lauter, A Singh, JA O’Rourke, MA Graham, AK Singh. 2020. Deconstructing the genetic architecture of iron deficiency chlorosis in soybean using genome-wide approaches. BMC Plant Biology. v20, Article number: 42. https://doi.org/10.1186/s12870-020-2237-5