Table B2 Maize data set 2
Env.Covariance Matrix Formula (Upper Triangular) and Correlation Matrix (Lower Triangular) for uCovariance Matrix Formula (Upper Triangular) and Correlation Matrix (Lower Triangular) for fVariance–Covariance Matrix Σ for ε
123123123
GBLUP
 E10.4420.2750.1170.2680.1010.0940.221
 E20.5240.622−0.0010.4150.2210.0250.2260.000
 E30.255−0.0020.4750.3690.1080.2420.288
GK
 E10.6200.3190.2040.1400.0220.0160.161
 E20.4680.7480.0300.1670.1240.0150.1470.000
 E30.3180.0430.6630.1160.1160.1360.171
  • Empirical phenotypic correlation: Sample phenotypic correlations: E1vsE2 = 0.388; E1 vs. E3 = 0.262; E2 vs. E3 = 0.153. Variance–covariance matrix (upper triangular) and correlation matrix (lower triangular) for random effects u, f, and variance matrix for random errors ε of multi-environment model (3) including three environments (E1–E3) for linear kernel GBLUP and nonlinear Gaussian kernel (GK). Pair-wise sample phenotypic correlations between environments are given above. Env., environment; GBLUP, genomic best linear unbiased predictors: GK, Gaussian kernel.