Estimation of inbreeding rate by pedigree and marker methods and its effect on the accuracy of genomic prediction in simulation data

In the past, pedigree relationships were used to control and monitor inbreeding because genomic relationships among selection candidates were not available until recently. These consequences were measured by genetic gain, pedigree- and genome-based rates of inbreeding, and local inbreeding across the genome. Their effect on the accuracy of genomic predictions was also investigated using simulation data. A baseline population of 1000 animals for 4000 generations was simulated using QMsim software. The number of ten chromosomes and 1000 SNP markers on each chromosome was simulated and the total number of QTLs on ten chromosomes was 1000. The results of the present study showed that the rate of genetic improvement in the genomic breeding value (GBLUP) method was estimated to be 13 percent higher than the TBLUP method. The rate of pedigree inbreeding method in GBLUP method was much lower than TBLUP method, although in the method of inbreeding estimated by IBD this rate was very small. The difference in the accuracy of genomic prediction for the method in which inbreeding was estimated to be low marker was 24 units higher than the pedigree method. In general, the results of the present study showed that the estimate of inbreeding was less accurate and its effect on the accuracy of genomic prediction was significant.