Vol. 17 No. 1
Clustering of upland rice genotypes by different biometrical methods
Author(s): A. SOHARU, S. K. SANADYA, A. DWIVEDI AND D. P. PANDEY
Abstract: The type and level of genetic divergence in thirty-three advance lines of rice was estimated by various clustering approaches. Analysis of variance revealed considerable amount of variability present in the material. High estimates of the coefficient of variation were observed for seed yield per plant followed by the grains per panicle, which were used to plot a graph. Based on their total index score highly diverse germplasms were HPR2839, HPR2845, HPR2847, HPR2866 and HPR2875. Based on D2 analysis, genotypes were divided into eleven clusters. Cluster II constituted eight genotypes and only single genotype consisted from VII to XI clusters. The maximum inter-cluster value was observed between cluster X and V (110.40) followed by cluster X and XI (95.83) suggesting that the genotypes HPR 2839, HPR 2883, HPR 1156, HPR 2656 and HPR2889 constituted in these clusters may be used as parents for future hybridization programs. It can be concluded that characters contributed more towards divergence in D2 analysis were loaded in principal component1. Hence, the results of cluster analysis were supported by principal component analysis.
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