This study was carried out to evaluate the incidence of abortion and its genetic aspects with different levels of milk production and body condition scores (BCS) in Holstein dairy cows, In this study the records from 8 intensive-dairy herds in Isfahan province which are covered with Vahdat- cooperative were used. The data collected from 2006 to 2016, and in total includes 101,955 records of 38,620 cows with several parties. Factors such as parity, season and year of calving, twining, milk production and herd were considered as fixed effects and age at first calving, days in milk, somatic cell count, body condition score and pregnancy period were included in the model as covariate factors. All statistical analysis and estimation of genetic parameters of abortion were conducted using SAS and DMU software. In addition, because of binary nature of abortions, all computations were based on a nonlinear (logistic) manner. Results showed that most of the effects in the model had a significant effect on the incidence of abortion (P 0.01). The average of abortion rate was 11.6% and a ranged 7 to 21 %. The incidence of abortion with an ascending trend of 0.6 achieved from 9.7 percent in 2006 to 13.7 percent in 2016. Spring with 15 percent showed highest incidence and autumn with odds ratio of 0.81(0.67-0.99) has lowest chance for abortion. Cows with a milk yield of more than 9000 liters per lactation had the higher than incidence of abortion with 13.7 percent. According to the results, abortion rate was increased by age (parity). The second parity with 1.5(1.8-2.1) showed the highest chance for abortion. The highest abortion occurred in the first 150 days of pregnancy and the light abortion was 82% of the total abortion. The chance of abortion incidence was increased by increasing in the age of the first calving. Besides, additive genetic, environment and residual variances were estimated 0.59, 3.8 and 0.01 respectively. Heritability of the abortion was estimated at 0.13. The genetic trend of abortion with an ascending trend of 0.025, achieved from -0.05 to 0.24 in 2001 to 2016. In general, the results showed that using the different levels of milk production and BCS were important in genetic evaluations and estimation of the parameters and therefore, abortion can be reduced by including this trait for estimating the genetic and phenotypic correlations between the functional and productive traits in dairy herds. Key words : Dairy cows, Milk production, Body condition score, Abortion