Abstract:
Climate change threatens global agricultural sustainability. Accelerating climatic shifts are already reducing crop yields, food availability, and ecological stability across many regions worldwide. This chapter emphasizes the role of genomic science in advancing adaptive crop improvement, to help farmers confront these challenges and build resilience in agricultural practices. The focus is placed on the transformative impact of genome analysis techniques, which enable deeper exploration of genetic diversity and stress tolerance traits. Genome editing tools, especially CRISPR-Cas platforms, are discussed as powerful methods for precision breeding, allowing rapid and targeted modifications for stress tolerance and yield stability. Beyond sequence variation, the chapter briefly examines how various omics-based approaches broaden our understanding of plant adaptation, while bioinformatics and machine learning integrate these multi-omic datasets into predictive models for trait selection. Additionally, we address challenges such as high costs, phenotyping bottlenecks, regulatory complexities, and issues of equitable access, highlighting the importance of inclusive governance and open data sharing. By linking molecular insights with sustainable practices, genomic innovations provide a roadmap for climate-resilient agriculture that maintains productivity, while preserving biodiversity and supporting farmer livelihoods.
