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<p>Soybean (<i>Glycine max</i>&#xa0;(L.) Merrill) is a self-pollinated seed legume. Improved exploitation of genetic resources is essential for diversifying the cultivar genetic base but large size of the germplasm poses difficulty for effective management and evaluation. Current experiment is focused on development of reduced representative core set of soybean from the base collection of 5000 accessions sourced from Indian Institute of Soybean Research, Indore, Madhya Pradesh. A set of 5000 accessions along with 3 check varieties were characterized for 12 qualitative and 7 quantitative traits following augmented design at University of Agricultural Sciences, Bengaluru. Substantial polymorphism for qualitative traits and genetic variability for quantitative traits in the germplasm was observed. 10 different clusters were formed by following Ward’s hierarchical clustering approach based on seven quantitative traits with adjusted means. Eight soybean core sets were developed based on the combinations of two core sizes (10 and 15% size), two sampling strategies (proportional and logarithmic) and two allocation strategies (random and preferred). Qualitative trait-based statistics viz., chi-square test, class coverage and Shannon–Weaver diversity index were used as validation criteria to examine homogeneity, retention of qualitative traits-based classes and polymorphism diversity respectively. Quantitative trait-based multivariate statistics were employed for assessing the representativeness of the core sets. The core set of 15% size developed using logarithmic sampling with preferred allocation strategy was identified as the best representative of the base collection. The best core set established in the current study enables greater use of germplasm without losing genetic spectrum of diversity.</p>

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Streamlining 5000 soybean [Glycine max (L.) Merrill] germplasm accessions: core sets development and identification of the best representative subset

  • 期刊论文

  • 发表日期：

    2025年10月23日

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  • G. P. Harshitha,
  • T. Onkarappa,
  • N. Manasa,
  • N. Chandrakant

摘要

Soybean (Glycine max (L.) Merrill) is a self-pollinated seed legume. Improved exploitation of genetic resources is essential for diversifying the cultivar genetic base but large size of the germplasm poses difficulty for effective management and evaluation. Current experiment is focused on development of reduced representative core set of soybean from the base collection of 5000 accessions sourced from Indian Institute of Soybean Research, Indore, Madhya Pradesh. A set of 5000 accessions along with 3 check varieties were characterized for 12 qualitative and 7 quantitative traits following augmented design at University of Agricultural Sciences, Bengaluru. Substantial polymorphism for qualitative traits and genetic variability for quantitative traits in the germplasm was observed. 10 different clusters were formed by following Ward’s hierarchical clustering approach based on seven quantitative traits with adjusted means. Eight soybean core sets were developed based on the combinations of two core sizes (10 and 15% size), two sampling strategies (proportional and logarithmic) and two allocation strategies (random and preferred). Qualitative trait-based statistics viz., chi-square test, class coverage and Shannon–Weaver diversity index were used as validation criteria to examine homogeneity, retention of qualitative traits-based classes and polymorphism diversity respectively. Quantitative trait-based multivariate statistics were employed for assessing the representativeness of the core sets. The core set of 15% size developed using logarithmic sampling with preferred allocation strategy was identified as the best representative of the base collection. The best core set established in the current study enables greater use of germplasm without losing genetic spectrum of diversity.