Model training across multiple breeding cycles significantly improves genomic prediction accuracy in rye (Secale cereale L.)

摘要

Key message >Genomic prediction accuracy can be significantly increased by model calibration across multiple breeding cycles as long as selection cycles are connected by common ancestors.