Model for prediction of fat and milk production traits using of DGAT1 gene polymorphism in Iranian Holstein cattle population

The results of multiple QTL mapping design in recent years, quantitative trait loci for milk fat percentage and milk yield was described in BTA14. With the coding of diacylglycerolacyltransferase enzyme, DGAT1 gene has the main role in the triglyceride synthesis and finally fat milk synthesis. In this research, 398 blood samples were collected from Tehran and Esfahan province. In PCR reaction, 411 bp fragment of exon 8 DGAT1 gene was amplified. Finally, genotyping population was performed using RFLP-PCR technique. Three genotypes such as KK, AA and KA were detected. Frequencies of DGAT1 alleles (K and A) were estimated 0.37 and 0.63 respectively. Using of fitted fixed model and animals ‘records significant traits were recognized. Finally using of parameters coding and regression model prediction models were presented. Correlation coefficient was utilized for validation of prediction models. The results of this study indicated presented model can be prediction of Milk305 (milk production adjusted for milking in 305 days), EBVFP (estimated breeding value for milk fat percentage, %) and FATP2X (milk fat percentage adjusted for two milking per day, %) traits in population.