Mahmood Gholami

This paper evaluates imputation methods for low-density marker data in sugar beet breeding, finding that AlphaPlantImpute2 performs well with default settings while Beagle benefits from parameter tuning, and combining both tools yields the highest accuracy.

The paper demonstrates accurate genetic imputation in maize, sugar beet, and wheat without pedigrees, outperforming Beagle 5.1 in most scenarios.