Genetics Selection Evolution

Table 8 Performance comparison of deepGBLUP with the other genomic prediction methods using forward-in-time evaluation on the Korean native cattle dataset

From: deepGBLUP: joint deep learning networks and GBLUP framework for accurate genomic prediction of complex traits in Korean native cattle

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

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ISSN: 1297-9686

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