Table B4 Wheat data set 4
Env.Covariance Matrix Embedded Image (Upper Triangular) and Correlation Matrix (Lower Triangular) for uCovariance Matrix Embedded Image (Upper Triangular) and Correlation Matrix (Lower Triangular) for fVariance–Covariance Matrix Σ for ε
123412341234
GBLUP
 E10.4830.1110.0040.1330.4090.230−0.0550.2150.175
 E20.2340.4670.2910.2460.5850.3780.0910.1990.242
 E30.0080.5600.5780.292−0.1630.2800.2790.1050.230
 E40.3040.5720.6100.3960.5410.5210.3200.3860.243
GK
 E10.9680.353−0.0420.3780.1420.084−0.0210.0590.111
 E20.3950.8260.4170.4760.5020.197−0.0070.0450.176
 E3−0.0440.4700.9520.439−0.170−0.0480.1070.0090.129
 E40.4290.5840.5020.8030.3830.2480.0670.1670.192
  • Empirical phenotypic correlation: E1 vs. E2 = 0.342; E1 vs. E3 = −0.054; E1 vs. E4 = 0.311; E2 vs. E3 = 0.328; E2 vs. E4 = 0.414; E3 vs. E4 = 0.223. 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 four environments (E1–E4) for linear kernel GBLUP and nonlinear Gaussian kernel (GK). Pair-wise sample phenotypic correlations between environments are above. Env., environment; GBLUP, genomic best linear unbiased predictors: GK, Gaussian kernel.