Novel strategies for genomic prediction of untested single-cross maize hybrids using unbalanced historical data

Key message Weighted outperformed unweighted genomic prediction using an unbalanced dataset representative of a commercial breeding program. Moreover, the use of the two cycles preceding predictions as training set achieved optimal prediction ability.