Integrative omics approaches for enhancing abiotic stress resilience in maize

Abstract

Abiotic stresses such as drought, heat, salinity, and nutrient imbalances severely threaten maize productivity, necessitating innovative strategies for developing resilient cultivars. Omics technologies have emerged as transformative tools to unravel the complex molecular and physiological mechanisms. Each omics layer, genomics, transcriptomics, proteomics, metabolomics, ionomics, and phenomics, provides unique insights into how maize perceives and adapts to adverse environments. When integrated, these approaches generate a systems-level perspective that connects molecular signals with biochemical pathways, physiological responses, and morphological traits, thereby advancing our understanding of resilience at multiple biological scales. Integrating multi-omics with high-throughput phenotyping has accelerated the identification of biomarkers, regulatory networks, and candidate genes associated with stress tolerance. Significantly, omics-driven approaches facilitate the development of climate-smart cultivars capable of sustaining yield stability under fluctuating and extreme conditions. Future studies will depend on coupling omics with advanced analytics, machine learning, and environmental datasets to strengthen predictive capacity. Emerging innovations, including field-deployable omics platforms and AI-integrated decision-support tools, hold promise for real-time trait selection and adaptive management strategies. Ultimately, the successful translation of omics-derived knowledge into breeding programs will require global collaboration, open-access databases, and integration into precision agriculture frameworks. Such efforts will help ensure food security, resource-use efficiency, and sustainable maize production in a changing climate.