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<p>Sesame (<i>Sesamum indicum</i> L.), an important oilseed crop, requires genetic improvement to ensure food security. Exploitation of a small fraction of genetic diversity is a major limiting factor for this crop. ICAR-NBPGR holds a large sesame base collection (6,000 unique accessions), originating from India and other countries. The study aims at the characterization of a sesame germplasm collection and development of working core set representing the variability of entire germplasm collection in the National Genebank. Characterization was carried out in an Augmented Block Design (ABD) under multi-environmental conditions (six locations representing five agro-ecological zones of India) for two consecutive years based on 33 agro-morphological traits, different levels of biotic stress (phyllody, dry root rot), abiotic stress (water logging, drought), and seed quality parameters (oil, protein, lignan, fatty acids). For core set preparation, the coincidence rate (CR%) for range and the variable rate (VR%) for coefficient of variation were maximum. Levene’s test and Newman-Keuls tests were performed to compare the entire and core collection. Diversity between the two (entire and core collection) was compared using Shannon–Weaver diversity index. We developed a sesame core set of 773 accessions, which consists of 12.88% of the entire collection. Developed core set exhibited a Coincidence rate (CR)% of 99.8% and a variable rate (VR%) of CV 103.59%. A multipurpose core set of sesame germplasm was assembled to benefit the plant breeding community (for trait introgression), farmers, and researchers to develop climate-resilient sesame cultivars.</p>

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A multidimensional core set development of sesame germplasm leveraging agro-morphological traits diversity for genetic improvement and climate resilience

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年3月23日

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  • Rashmi Yadav,
  • Harinder Vishwakarma,
  • Subhrajit Satpathy,
  • A. Mahalingam,
  • Parimalan Rangan,
  • Ajay Kumar,
  • Sharik Ali,
  • Kriti Sharma,
  • Kamna Kumari,
  • Dev Kumar Arya,
  • Indu Rialch,
  • Sita Ram Kumhar,
  • Vanraj Gohil,
  • Rajani Bisen,
  • Renu Pandey,
  • Vandna Rai,
  • Kapil Tiwari,
  • Anuj Kumar Singh,
  • Ulavappa Basavanneppa Angadi,
  • Celia Chalam Vasimalla,
  • G. Senthilraja,
  • Pankaj Sharma,
  • Pardeep Kumar,
  • Kailash Narayan Gupta,
  • Hemavati Ranebennur,
  • Kartar Singh,
  • Sapna Langyan,
  • Virendra Singh Rana,
  • Najam Akhtar Shakil,
  • Sanjula Sharma,
  • Artika Singh,
  • Rakesh Choudhary,
  • Kanakasabapathi Pradheep,
  • Sunil Shriram Gomashe,
  • Senthil Ramachandran,
  • Mamta Singh,
  • J. Aravind,
  • Radhamani Jalli,
  • Ashok Kumar,
  • Kuldeep Singh,
  • Gyanendra Pratap Singh,
  • Sanjay Kalia,
  • Abhishek Rathore

摘要

Sesame (Sesamum indicum L.), an important oilseed crop, requires genetic improvement to ensure food security. Exploitation of a small fraction of genetic diversity is a major limiting factor for this crop. ICAR-NBPGR holds a large sesame base collection (6,000 unique accessions), originating from India and other countries. The study aims at the characterization of a sesame germplasm collection and development of working core set representing the variability of entire germplasm collection in the National Genebank. Characterization was carried out in an Augmented Block Design (ABD) under multi-environmental conditions (six locations representing five agro-ecological zones of India) for two consecutive years based on 33 agro-morphological traits, different levels of biotic stress (phyllody, dry root rot), abiotic stress (water logging, drought), and seed quality parameters (oil, protein, lignan, fatty acids). For core set preparation, the coincidence rate (CR%) for range and the variable rate (VR%) for coefficient of variation were maximum. Levene’s test and Newman-Keuls tests were performed to compare the entire and core collection. Diversity between the two (entire and core collection) was compared using Shannon–Weaver diversity index. We developed a sesame core set of 773 accessions, which consists of 12.88% of the entire collection. Developed core set exhibited a Coincidence rate (CR)% of 99.8% and a variable rate (VR%) of CV 103.59%. A multipurpose core set of sesame germplasm was assembled to benefit the plant breeding community (for trait introgression), farmers, and researchers to develop climate-resilient sesame cultivars.