Selection of high diversity with a minimal set of accessions from Indian mustard (Brassica juncea) germplasm collection
2009
Yadava, D. K. | Sapra, R. L. | Vasudev, Sujata | Dass, B. | Prabhu, K. V.
A simplified procedure based on the K-Means Clustering and inertia score for the selection of diverse accessions from large germplasm collections ensuring higher evenness as well as richness in the sample is presented. A sample size of nearly 10% of the whole population selected on the basis of said procedure represented the entire spectrum of variability with a better evenness and resulted in a very high value of pooled Shannon Diversity Index of 17.11 as compared to 13.35 for the entire population. The sample also captured almost cent per cent richness, ie 59 descriptor states out of 60 present in the population. This minimal set of 27 diverse accessions,thus, selected can be effectively utilized in the development of germplasm core set as well as in the breeding programme.
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