The aim of study effecting fixed factors (breed, year of birth, age of dam, sex of lambs) in total milk yield and milk composition and some of growth traits (birth weight and weaning weight), the overall mean of milk yield (66.58 ±1.67. kg) ,it was breed effect significant (P<0.05) , while the effect factors (birth year, age of the ewe, sex of lambs, type of birth) was not significant, , the overall mean of milk components (fat, lactose, protein, non-fat solids) was 4.18 ± 0.29, 4.42 ± 0.02, 5.47 ± 0.11 and 10.69 ± 0.14 %, respectively ,the factors are non- significant effect on milk composition, the overall mean of birth weight was 4.76 ± 0.06 kg, the breed, year of birth, age of the ewe and the sex lambs did not effect on it, weight at weaning was 19.77 ± 0.27 kg. The effect of breed was highly significant, as the Turkish Awassi breed advantage to the local, while the factors (year of birth, age of ewe, sex of lambs) were non- significant effect on weaning weight. We conclude the local Awassi was superior to the Turkish in total milk yield. The birth weight of Turkish Awassi was slightly higher on the local, but dominant was highly significant in weaning weight.

This study was carried out at the ruminant research station of the General Commission for Agricultural Research / Ministry of Agriculture (in Abu Ghraib 20km west of Baghdad) from December 2018 to December/2020. The research included 200 records belonging to the Turkish and local Awassi sheep herd to estimate some genetic parameters (heritability, genetic and phenotypic correlations, and evaluate the Best Linear Unbiased Prediction (BLUP) for some productive traits (total milk production, lactation period, birth weight Weaning weight, average weight gain). The estimate of heritability were for the productive traits 0.19, 0.12, 0.25, 0.29, 0.25, respectively. The genetic correlation for the effective traits ranged between positive and highly significant (P<0.01) and not significant, as its coefficient ranged between 0.81 and 0.15. The phenotypic correlation of the productive traits ranged between positive and highly effective (P<0.01) and was not significant, as the coefficient ranged between 0.87 and 0.12 for the above effective characteristics. The values of the Best Linear Prediction (BLUP) for traits ranged 12.376. The lowest of which is -0.641.