Aim: To characterize and quantify genetic variability of ber genotype via Principal ComponentAnalysis and Correlation Analysis for crop improvement, which will be of immense important in formulating an effective breeding strategyfor the genetic improvement of this crop. Methodology: The experiment was conducted in a randomized block design with three replications. In the present study, nine ber genotypes were selected for evaluation during 2018--2023 (five years). The quantitative data on yield attributes and quality traits were recorded and subjected to PCA, and correlations among traits were subjected to analysis via R-Studio software. Results: The findings of this comprehensive evaluation of Indian jujube genotypes are expected to have a significant impact on the identification of high-performing genotypes, such as 'Kaithali' for vegetative growth and fruit quality and 'Umran' for both yield and leaf protein content. This study supports the development of dual-purpose cultivars that can increase both fruit production and fodder availability. Interpretation: A key novel finding is the identification of 'Umran' as a high-yielding genotype with superior leaf nutritive value, suggesting its suitability for horti-pastoral systems. The significant genotypic variability observed in terms of growth vigor, fruit morphometrics, and pulp characteristics provides a valuable genetic basis forselection and varietal improvement.