An experiment was conducted in 2008 at the horticultural farm of the Institute of Agriculture and Animal Science (IAAS), Rampur, Chitwan, Nepal to evaluate the collected Nepalese/ local and exotic mungbean genotypes based on eight qualitative traits. The genotypes were grouped into 6 clusters according to Unweighted Pair Group Method with Arithmetic mean (UPGMA) hierarchical techniques. Cluster analysis grouped genotypes together with greater genetic similarity; the clusters did not necessarily include all genotypes from the same origin. Some cluster consisted only of the local or the exotic genotypes while in others, both categories were grouped under the same cluster. This was primarily due to similarity in the different genotypes for the qualitative traits observed. Although Principal Component Analysis (PCA) did not form robust group as outlined by the cluster analysis, it surely supported the groups formed in the dendogram. In general, the clusters formed displayed the closeness of the local and exotic genotypes among themselves than for the mixed population consisting of both genotypes. Principal component analysis showed that five Principal Components (PCs) together accounted for 92.30% of the total phenotypic variability observed in the mungbean genotypes. The first three PCs had nearly 78% of the total variation with individual share of 40.60%, 22.30% and 14.70% respectively.
Keywords: Mungbean (Vigna radiata L. Wilczek), Qualitative traits, Cluster analysis, PCA