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Vol. 12, Issue 11 (2023)

Development and validation of core sets of soybean (Glycine max L. Merrill) germplasm and identification of trait-specific accessions from the best core set

Author(s):
Kaveri Chawan and P Ravishankar
Abstract:
During summer 2021, genetic variability of 2000 soybean germplasm accessions were assessed at UAS, Bengaluru. Standard stratified clustering approach was used to develop 8 core sets from a base collection based on 13 qualitative and 7 quantitative traits. Core sets were validated using various univariate and multivariate statistics to assess their representativeness for base collection. During kharif 2021, 300 germplasm accessions (15% core size) were evaluated at two sites, K-Block GKVK, Bengaluru, and KVK Doddaballapur, to identify trait-specific accessions from the best core set. Eight core sets were developed in the current study using SSC approach. Logarithmic sampling with preferred allocation approach-based core set of 15% size was identified as the best representative of base collection. Many trait-specific accessions were promising for combination of desirable traits from the best core set that are suggested for preferential use in crossing programmes to generate variability for developing farmer acceptable varieties.
Pages: 242-251  |  155 Views  70 Downloads


The Pharma Innovation Journal
How to cite this article:
Kaveri Chawan, P Ravishankar. Development and validation of core sets of soybean (Glycine max L. Merrill) germplasm and identification of trait-specific accessions from the best core set. Pharma Innovation 2023;12(11):242-251.

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