Genetic variability for traits is pre-requisite for any successful breeding program, as the degree of response to selection depends on the quantum of variability. Association studies helps in selecting difficult to measure traits like protein content through indirect selection. A set of 274 genotypes, which includes 272 RILs and 2 parents were evaluated at IARI, Research Farm, Delhi during the winter season of the year 2013-14. Presence of variability for thousand kernel weight (TKW), protein content, grain zinc (Zn) concentration, grain iron (Fe) concentration, kernel hardness (KH), sedimentation value (SDS) and hectoliter weight (HLW) suggesting good prospects for genetic enhancement of wheat of end-use quality and to address micronutrient malnutrition. KH exhibited high genotypic (31.04%) coefficient of variability and genetic advance over percentage of mean (63.45), whereas TKW and SDS showed moderate genotypic coefficient of variability with 13.47% and 11.25%, respectively. Fe, Zn, HLW, and protein content exhibited low variability, as reflected by their low genotypic coefficient of variability values. All the studied traits showed high broad-sense (? 0.60) heritability except hectoliter weight, which exhibited moderate (0.56) broad-sense heritability. Significant positive association of Fe with TKW, Zn, SDS, and protein content indicated these traits can be improved through indirect selection for easily measurable traits like Fe and zinc.