Mungbean (Vigna radiata L. Wilczek) is a significant short-duration legume crop prized for its excellent nutritional content, has capacity to fix atmospheric nitrogen, and plays a major role in sustainable agriculture. Abiotic stresses like heat, salt, drought, and nutrient shortages, which are predicted to worsen due to climate change, significantly limit its productivity. Enhancing mungbean’s ability to withstand abiotic stress is a primary breeding objective; yet, the crop’s low genomic resources, restricted genetic base, and its intricate, polygenic nature of stress tolerance traits impede success. Recent developments in genomics, proteomics, genome editing, metabolomics, genome-wide association studies (GWAS), quantitative trait loci (QTL) mapping, and molecular breeding have improved our knowledge on the mechanisms underlying the stress tolerance and made it easier to identify important candidate genes and biomarkers.

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Molecular Breeding Approaches for Abiotic Stress Tolerance in Mungbean (Vigna radiata L. Wilczek)

  • Sivakumar Paramasivam,
  • Kuttralingam Sasikala,
  • Jothi Kanmani Bharathi,
  • Subramanian Rajesh,
  • Muthiyan Pandiyan

摘要

Mungbean (Vigna radiata L. Wilczek) is a significant short-duration legume crop prized for its excellent nutritional content, has capacity to fix atmospheric nitrogen, and plays a major role in sustainable agriculture. Abiotic stresses like heat, salt, drought, and nutrient shortages, which are predicted to worsen due to climate change, significantly limit its productivity. Enhancing mungbean’s ability to withstand abiotic stress is a primary breeding objective; yet, the crop’s low genomic resources, restricted genetic base, and its intricate, polygenic nature of stress tolerance traits impede success. Recent developments in genomics, proteomics, genome editing, metabolomics, genome-wide association studies (GWAS), quantitative trait loci (QTL) mapping, and molecular breeding have improved our knowledge on the mechanisms underlying the stress tolerance and made it easier to identify important candidate genes and biomarkers.