Climate-resilient Crop Breeding: Advances in Genomics, Phenotyping, and Sustainable Agriculture

Abstract

Climate change poses an unprecedented challenge to global food security, threatening to undermine decades of agricultural progress through increased temperatures, erratic precipitation patterns, prolonged droughts, and intensified pest and disease pressures. Crop breeding, empowered by transformative advances in genomics, high-throughput phenotyping, and precision biotechnology, has emerged as a cornerstone strategy for developing resilient varieties capable of sustaining productivity under rapidly shifting environmental conditions. This review synthesises current knowledge on the convergence of genomic tools—including genome-wide association studies, genomic selection, and CRISPR-Cas9-mediated gene editing—with next-generation phenotyping platforms that leverage remote sensing, unmanned aerial vehicles, and machine learning algorithms to bridge the genotype-to-phenotype gap. Primary literature searches were conducted across multiple academic databases, including Web of Science, Scopus, PubMed, Google Scholar, and CAB Abstracts. The integration of multi-omics data, speed breeding protocols, and epigenetic insights has further accelerated the identification and deployment of adaptive traits such as drought tolerance, heat resilience, salinity tolerance, and submergence resistance. The review also examines how these technological advances are being embedded within sustainable agricultural frameworks, encompassing biofortification, agroecological management, and policy-driven international collaboration. Key challenges, including data standardisation, intellectual property barriers, and the equitable deployment of advanced breeding tools in low-income settings, are critically discussed. The article concludes with a forward-looking perspective on the role of artificial intelligence, digital agriculture, and genomics-assisted breeding in securing food systems against future climatic adversity.