INTEGRATING COMPUTATIONAL APPROACHES AND PHYTOHORMONES FOR ENHANCING DROUGHT AND SALT STRESS TOLERANCE IN MARGINAL CONDITIONS

초록

Abiotic stressors caused by climate change create severe problems for global agriculture, where drought, soil salinity, heavy metals (HMs) contamination, and flooding increasingly threaten productivity and food security. There are phytohormones within plants, including ABA (abscisic acid), jasmonates (JA), brassinosteroids (BR), salicylic acid (SA), cytokinins (CK), melatonin (MT) and gibberellins (GA) that play a fundamental role in improving the resistance of plants to adverse conditions by regulating the physiological and molecular mechanisms that modulate the retention and absorption of nutrients, antioxidant defense, stress tolerance, and cellular detoxification. Understanding and implementing phytohormonebased approaches is crucial as the frequency and severity of weather change's effects on agricultural output. These tactics offer a viable path toward resilient crop development. This review highlights the potential of phytohormones as sustainable tools to mitigate abiotic stress (drought and salt) providing a critical reference for future research to improve crop adaptation to abiotic stress conditions to ensure food security. Interestingly integrated computational approaches such as machine learning (ML), and deep learning (DL) have become crucial in forecasting and interpreting stress complex networks. Studies on an advanced level with computational models will be a promising approach to achieving sustainable development goals (SDG).

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