Table 8.

Performance comparison of deepGBLUP with the other genomic prediction methods using forward-in-time evaluation on the Korean native cattle dataset

Method	CWT	BF	EMA	MS
GBLUP	0.684	0.638	0.566	0.594
DGBLUP	0.684	0.621	0.573	0.589
EGBLUP	0.670	0.628	0.561	0.586
BayesA	0.707	0.640	0.553	0.587
BayesB	0.714	0.649	0.557	0.584
BayesC	0.711	0.628	0.574	0.599
deepGBLUP	0.718	0.670	0.592	0.603

Each value in the cells is the predictive ability. We highlight the best results in italic