Submergence Gene Sub1A Transfer into Drought-Tolerant japonica Rice DT3 Using Marker-Assisted Selection

Harnessing the power of genomics to develop climate-smart crop varieties: A comprehensive review

Abiotic stresses arising as consequences of climate change pose a serious threat to agricultural productivity on a global scale. Most cultivated crop varieties exhibit susceptibility to such environmental pressures as drought, salinity, and waterlogging. Addressing these abiotic stresses through agronomic means is not only financially burdensome but also often impractical, particularly in the case of abiotic stresses like heat stress. Cultivating resilient varieties that can withstand such pressures emerges as an economically feasible strategy to mitigate these challenges. Nevertheless, the development of stress-tolerant cultivars is hindered by the intricate nature of abiotic stress tolerance, often characterized by low heritability values. Compounding this complexity is the dynamic and multifaceted nature of these stresses, which impede conventional breeding efforts, rendering them painstakingly slow. The identification of molecular markers has emerged as a pivotal advancement in this arena. By pinpointing genomic regions associated with tolerance to abiotic stresses, these markers serve as effective tools for selection and trait introgression. In the post-genomic era, the proliferation of high-density SNP markers has revolutionized breeding strategies. Genomic selection, leveraging these markers, has become the method of choice for addressing polygenic traits with low heritability, such as abiotic stress tolerance. With the functional characterization of many genes being done, precise manipulation through genome editing techniques is gaining significant traction. This review delves into the application of molecular markers in breeding stress-tolerant crop varieties, alongside role of recent genomic techniques in enhancing abiotic stress tolerance. It also explores success stories and identifies potential targets for marker-assisted selection.