Salinity is a main restricting factor to crop production in arid and semi-arid regions of the world. This study was conducted to evaluate salt tolerance of doubled haploid lines and their corresponding breeding lines in triticale for agro morphological and phenological traits using two separate randomized complete block designs in 2008-09. The saline experiment was irrigated using saline water (175 mM NaCl and EC= 15 dSm -1 ) from mid-jointing growth stage (Zodak 43) onward. Eighteen triticale lines including 9 doubled haploid and 9 corresponding F 8 breeding lines along with two wheat cultivars ‘Roshan’ (drought tolerance) and ‘Kavir’ (salt tolerance) were used in this study. The results showed that under both saline and non-saline conditions the studied genotypes differed significantly for days to heading, days to pollination, last internode length, flag leaf area, number of grains per spike, grain weight per spike, biological yield and grain yield traits. The results of combined analysis of variance showed that salt stress have significantly affected all traits with the exception of number of grains per spike. Genotype by salt stress level interaction was significant for days to heading, 1000 grain weight and harvest index. Under both stress and non-stress conditions triticale lines compared to the wheat cultivars performed significantly superior for biological and grain yield production. Grain yield had significant and positive correlation with days to pollination, days to maturity, flag leaf area, number of grains per spike, grain weight per spike and biological yield, but this correlation was significant and negative with number of spikes per square meter under non-saline conditions. Under saline condition, grain yield correlated highly, significantly and positively with days to heading, days to pollination, days to maturity, spike length, flag leaf area and harvest index. Broad sense heritability of grain yield was estimated 52 % under saline conditions which was significantly less than non-saline condition, 81.4 %. Stepwise regression for grain yield as the dependent variable versus yield components as the independent variable showed that number of grains per spike and 1000 grain weight had the greatest contribution in justifying grain yield under non-saline conditions. Under saline conditions number of grains per spike and number of spikes per square meter had the greatest contribution in explaining grain yield variation. Factor analysis for studied genotypes in saline and non-saline conditions revealed four hidden factors, which the important factor related to the yield components and plant performance under normal and saline conditions, respectively. Path analysis for grain yield showed that under both salt stress and non-stress conditions number of grains per spike had the greatest direct and positive effect on yield. Cluster analysis of triticale and wheat genotypes divided wheat cultivars into a seprate gro