Integrated Approach of Using Biostimulants for Improving Growth, Physiological Traits, and Tolerance to Abiotic Stressors in Rice and Soybean

Abiotic stressors such as drought, salinity, waterlogging, and high and low temperatures significantly reduce the growth and productivity of rice (Oryza sativa) and soybean (Glycine max), which are vital for global food and nutritional security. These stressors disrupt physiological, biochemical, and molecular processes, resulting in decreased yield and quality. Biostimulants represent promising sustainable solutions to alleviate stress-induced damage and improve crop performance under stressful conditions. This review provides a comprehensive analysis of the role of biostimulants in enhancing rice and soybean resilience under abiotic stress. Both microbial and non-microbial biostimulants including phytohormones such as salicylic acid; melatonin; humic and fulvic substances; seaweed extracts; nanoparticles; and beneficial microbes have been discussed. Biostimulants enhance antioxidant defenses, improve photosynthesis and nutrient uptake, regulate hormones, and activate stress-responsive genes, thereby supporting growth and yield. Moreover, biostimulants regulate molecular pathways such as ABA- and ROS-mediated signaling and activate key transcription factors (e.g., WRKY, DREB, NAC), linking molecular responses with physiological and phenotypic resilience. The effectiveness of biostimulants depends on crop species, growth stage, stress severity and application method. This review summarizes recent findings on the role of biostimulants in enhancing the mechanisms underlying growth, yield, and stress tolerance of rice and soybean under abiotic stress. Additionally, the incorporation of biostimulants into sustainable farming practices to increase productivity in the context of climate-related challenges has been discussed. Furthermore, the necessity for additional research to elucidate the underlying mechanisms, refine application methods, and verify their effectiveness in field conditions has been highlighted.