Principal component analysis was performed to determine the pattern of genetic diversity in 45 redgram genotypes using nine morphological and phenological characters. The largest variation was observed for seed yield per plant with coefficient of variation of 76.65% followed by number of pods per plant (74.98), number of branches (30.27) and plant height (26.93). The least variation was observed in days to maturity with coefficient of variation of 11.17%. Principal component analysis extracted three components contributing to around 76.55% of total variability among nine characters. Principal component 1 had the contribution from the traits such as days to 50 % flowering, plant height, seed yield per plant and number of pods per plant which accounted to 36.47 % of the total variability. The principal component 2 explained 24.36 % of total variability from number of seeds per pod, pod length, number of branches and 100 seed weight. Number of pod per plant, days to maturity and seed yield per plant had contributed 15.72% of total variability in principal component 3. Thus the results of principal component analysis used in the study had revealed the high level of genetic variation and the traits controlling for the variation were identified. Hence, these entries can be utilized for trait improvement in breeding programs for the traits contributing for major variation. Correlation analysis revealed that Number of pods per plant had highly significant and positive association with seed yield per plant. Cluster analysis depicted two clusters and identified the groups of cultivars those were more closely related.