Genomic prediction based on data from three layer lines using non-linear regression models

Table 5 Correlation between genomic predictions obtained from the seven prediction methods

Line	Model	GBLUP	RRPCA	MTGBLUP	POLY	POLYPCA	RBF
B1	RRPCA	0.877
	MTGBLUP	0.913	0.900
	POLY	0.677	0.751	0.796
	POLYPCA	0.672	0.746	0.792	1.000
	RBF	0.824	0.861	0.900	0.955	0.952
	RBFPCA	0.781	0.870	0.861	0.901	0.897	0.957
B2	RRPCA	0.892
	MTGBLUP	0.928	0.885
	POLY	0.777	0.815	0.864
	POLYPCA	0.774	0.812	0.863	1.000
	RBF	0.867	0.883	0.928	0.968	0.966
	RBFPCA	0.800	0.881	0.870	0.912	0.908	0.946
W1	RRPCA	0.964
	MTGBLUP	0.975	0.965
	POLY	0.921	0.871	0.905
	POLYPCA	0.920	0.872	0.906	1.000
	RBF	0.945	0.904	0.931	0.995	0.995
	RBFPCA	0.905	0.903	0.894	0.963	0.963	0.969

ISSN: 1297-9686