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Review highlights microbial consortia technology promoting plant growth, pointing to sustainable agricultural practices.
Microbial consortia technology has emerged as a promising strategy for sustainable agricultural intensification by harnessing the synergistic interactions among multiple beneficial microorganisms. These consortia, comprising bacteria, fungi, and other microbial groups, enhance plant growth through diverse mechanisms including nutrient acquisition, phytohormone production, siderophore activity, and induced systemic resistance. Integrated microbial systems improve nitrogen fixation, phosphorus solubilization, and micronutrient mobilization, leading to increased nutrient use efficiency and crop productivity. Studies report yield improvements ranging from 10% to 40% when compared with uninoculated controls, along with enhanced tolerance to abiotic stresses such as drought and salinity, and biotic stresses including pathogen attack. Advances in omics technologies, systems biology, and synthetic biology have enabled the rational design and optimization of microbial consortia with improved stability and functionality. Novel formulation techniques such as encapsulation and liquid bioinoculants have extended shelf life and enhanced field performance. Despite these advancements, challenges such as inconsistent field responses, environmental variability, competition with native microbiota, and regulatory constraints remain significant barriers to large-scale adoption. Emerging innovations including microbiome engineering, artificial intelligence-driven consortium design, and precision agriculture integration are expected to overcome these limitations. The application of microbial consortia contributes to reduced dependence on chemical fertilizers and pesticides, improved soil health, and enhanced ecosystem sustainability. Continued research focusing on crop-specific formulations, climate-resilient strains, and long-term field validation will be critical for realizing the full potential of this technology.
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Kumar et al. (2026) studied this question.
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