Breed identification using breed-informative SNPs and machine learning based on whole genome sequence data and SNP chip data.

The current study showed that the combination of DFI and KSR was the optimal strategy. Using sequence data resulted in higher accuracies than using chip data in most cases. However, the differences were generally small. In view of the cost of genotyping, using chip data is also a good option for breed identification.