The goal of the current study was to use eighty-four genotypes for multivariate analysis in wheat. These genotypes might be divided into eleven clusters based on the degree of genetic difference. Cluster VI, Cluster V, and Cluster III had the largest intra-cluster distances based on maximal diversity, indicating that these genotypes may be easily able to manipulate traits to enhance wheat. Because cluster I had a single genotype cluster, it had the lowest intra-cluster distance (0.00). Between clusters II & V, II & VI, and V & VI, the greatest inter-cluster distance was discovered. Low cluster means for the genotypes KRL-35, KRL-99, and LBRIL-102 showed that these genotypes differ genetically from the other genotypes, especially with regard to yield and attributes associated to yield. As a result, this genotype may be recognized as a reliable and beneficial donor for raising wheat grain production. UP-2938, UP-2903, HPW-368, HPW-360, DBW-328, PBW-821, PBW-752, UP-3043, WH-1270, VL-3021, GW-509, HD-3343, MP-1358, DBW-332, VL-3022, HPW-373, NW-2036 & NW-1076, on the other hand, may result in better heterotic response and recovery of better segregants in the early generations for an increase in wheat yield via these component traits. In terms of cluster mean, cluster distance, and the percentage contribution of each trait, genotypes from clusters II, III, V, VI, VII, and IX would be promising to employ as hybridization programme breeding material.