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Vol. 12, Issue 7 (2023)

Mahalanobis D2 statistical technique for genetic diversity assessment in the Gamma radiated mutant population of kodomillet (Paspalum scrobiculatum L.)

Author(s):
Hemlata Sahu, Itreddy Charitha, Sanjana Gendre, Akash Tiwari and Prafull Kumar
Abstract:
The present study on induced mutations in kodomillet (Paspalum scrobiculatum L.) was carried out at the Instructional cum Research Farm of S.G. College of Agriculture and Research Station Kumhrawand, Jagdalpur, Chhattisgarh. Induced genetic divergence was estimated in M1 mutant lines of kodomillet var. Indira kodo-1, developed by gamma rays using multivariate analysis using Mahalanobis’ (1936). 102 lines of kodomillet grouped into five clusters based on D2 analysis. The cluster III was largest with 27 lines followed by cluster V with 22 lines, cluster I and cluster IV having 19 lines, but cluster II was lowest 15 lines. The maximum intra-cluster distance was found in cluster I indicating difference in mutant lines within cluster. The highest inter-cluster distance was observed between clusters cluster IV and cluster II followed by cluster IV and cluster III showing high degree of genetic diversity indicating that genetic makeup of lines falling in this cluster may be entirely different from one another. Among the traits under studied, grain per panicle in mutated population contributed maximum toward divergence followed by seed weight per panicle in mutated population. In present study of D2 analysis suggested that mutant lines belonging to the diverse clusters could be used in hybridization programmes to enhance the productivity of kodomillet.
Pages: 3611-3615  |  198 Views  129 Downloads


The Pharma Innovation Journal
How to cite this article:
Hemlata Sahu, Itreddy Charitha, Sanjana Gendre, Akash Tiwari, Prafull Kumar. Mahalanobis D2 statistical technique for genetic diversity assessment in the Gamma radiated mutant population of kodomillet (Paspalum scrobiculatum L.). Pharma Innovation 2023;12(7):3611-3615.

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