Climate-Adaptive Farming: Strategies for Food Security and Adaptation Models Amid Rising Droughts and Population Pressures

Drought stress is the most prevalent abiotic constraint threatening global food security, with its frequency and intensity projected to increase substantially under ongoing climate change scenarios. The development of drought-resilient crop varieties through the exploitation of diverse genetic resources, innovative breeding methodologies, and cutting-edge molecular tools represents a critical strategy for sustaining agricultural productivity in water-limited environments. This review synthesises current understanding across three interconnected dimensions: the characterisation and mobilisation of genetic resources, including crop wild relatives, landraces, and structured germplasm collections; the advancement of classical and modern breeding platforms, encompassing high-throughput phenotyping and selection strategies; and the deployment of molecular approaches, including quantitative trait loci mapping, marker-assisted and genomic selection, transcriptomics, proteomics, metabolomics, and CRISPR-Cas9 genome editing. Key regulatory genes and signalling networks—particularly those governing osmotic adjustment, abscisic acid signalling, and transcription factor activity—are critically appraised. Case studies in major staple crops, including maize, wheat, rice, sorghum, and pearl millet, illustrate how these approaches converge to deliver improved varieties for farmers in drought-prone regions. The review further examines the persistent gaps between laboratory discoveries and field-level deployment. It discusses future priorities for integrating multi-omics data, precision breeding, and digital agricultural technologies to accelerate the development of drought-resilient varieties. By providing an integrative overview from genes to fields, this article aims to support researchers, plant breeders, and policymakers in identifying the most promising and actionable pathways towards drought resilience in crops.