Table 4 Prediction performance in soybean for five traits of eight methods in terms of Pearson’s correlation (taken from Liu et al., 2019); A). Methods dualCNN, deepGS and singleCNN are different versions of CNN. Prediction performance in terms of Average Spearman Correlation (ASC) and mean square error (MSE) with genotype × environment interaction (I) and without genotype × environment interaction (WI) in a wheat dataset for trait Fusarium head blight (FHB) severity data (Montesinos-López et al., 2020; B)

From: A review of deep learning applications for genomic selection