Determination of genetic diversity is useful for plant breeding and hence production of more efficient plant species under different conditions. A set of 94 bread wheat recombinant inbred lines derived from cross between Roshan and Superhed#2 varieties was evaluated using a randomized complete block design (RCBD) with two replications. Days to heading, flag leaf area, peduncle length, spike length, plant height, number of spikelet per spike, number of spikes, number of grain per spike, 1000 grain weight, grain yield, shoot biomass, percent of grain protein, straw yield and harvest index were measured. Analysis of variance revealed significant differences among the lines for all the studied traits. The level of genetic variation was higher for peduncle length, flag leaf area, number of spikes, grain yield, straw yield and shoot biomass. Cluster analysis based on all the traits using Ward’s algorithm and squared Euclidean distances assigned the lines into three groups. In these grouping, group two lines showed highest mean of grain yield. In factor analysis, five first factors explained 80.26% of total variation. First factor determining 23.94% of the variation was named as grain yield factor. Cluster analysis based on the five factors grouped the lines into three groups. The first group lines were superior with respect to grain yield.
