Integrative Multi-Omics and Data Analytics Approach to Decipher Drought Stress Mechanisms in Cereal Crops for Climate-Smart Agriculture

The vulnerability of worldwide food supply bases, primarily on cereal crops, grows be-cause of drought conditions that result from climate change. The effective analysis of drought tolerance requires advanced research methods over traditional breeding practices because these methodologies do not fully describe molecular environmental factors with physiological components simultaneously. A complete understanding of drought stress mechanisms emerges from employing modern data analysis techniques on combined genomics and transcriptomics and proteomics and metabolomics and phenomics data-bases. The investigation presents multi-omics integration as a method to boost cli-mate-smart agriculture by revealing important drought-responsive genetic elements and metabolic routes and networks in cereal farming systems. Researchers implemented a complete multi-omics assessment technique to study drought reactions in crucial cereal crops, including rice and wheat, alongside maize. The research employed multiple sets of each tool, including high-throughput sequencing generation and mass spectrometry systems and imaging systems. Physiological characteristics with agricultural traits were studied to align molecular data with drought-tolerant specific genetic variants. The re-search identifies essential drought tolerance biomarkers, including genetic markers and protein and metabolite signatures which present breeding possibilities through genetic manipulation. Smokeless agriculture progress through this combined approach, which leads to sustainable agricultural production systems under climate change conditions.