A recent study published in Frontiers in Plant Science by the Research Chair team indicates that the accuracy of genomic prediction models for traits related to growth and wood quality can be increased by considering non-additive genetic effects and large datasets. The implications are important, including to better predict the value of new spruce families without having to phenotype them or wait to do so.