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

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

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

2026
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Overview
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.