Table 4 Comparison of prediction accuracy of multi-environment GBLUP and GK model (3) with various other models published in refereed journals for the five data sets utilized in this study
GBLUPGK
Wheat Data Set 1FAModel (3)EB-G × EModel (3)
E10.5530.5430.4580.606
E20.6110.7200.6440.713
E30.5850.6940.5860.694
E40.510.5250.5430.572
GBLUPGK
Maize Data Set 2EB-G × EModel (2)EB-G × EModel (3)
E10.6180.6240.6300.645
E20.5470.5750.5660.582
E30.5190.5250.5560.578
GBLUPGK
Wheat Data Set 3GBLUP-MEModel (3)Model (3)
E10.5910.6170.631
E20.6970.7160.689
E30.5050.5120.551
E40.5160.5070.51
GBLUPGK
Wheat Data Set 4GBLUP-MEModel (3)Model (3)
E10.5130.6010.616
E20.5360.5880.587
E30.5310.6090.613
E40.5610.6110.607
GBLUPGK
Wheat Data Set 5GBLUP-MEModel (3)
E10.5750.5830.637
E20.4660.4580.518
E30.6290.6320.688
E40.4020.6080.630
E50.3760.5960.597
  • FA (Factor Analytic) model, Burgueño et al. (2012); EB (Empirical Bayes)-G × E, Cuevas et al. (2016); GBLUP-ME, López-Cruz et al. (2015); The highest correlations in each row are in boldface. GBLUP, genomic best linear unbiased predictors: GK, Gaussian kernel.