Table 2. Mean prediction accuracies for the different environments of wheat data set 1, maize data set 2, and wheat data set 3 for GBLUP and GK methods, and three models including a single-environment (model (1)) and two multi-environment models (models (2) and (3)).
Environment | GBLUP | GK | ||||
---|---|---|---|---|---|---|
Model (1) | Model (2) | Model (3) | Model (1) | Model (2) | Model (3) | |
Wheat data set 1a | ||||||
E1 | 0.500 (0.056) | 0.512 (0.043) | 0.543 (0.044) | 0.577 (0.043) | 0.575 (0.036) | 0.606 (0.037) |
E2 | 0.474 (0.048) | 0.635 (0.042) | 0.720 (0.031) | 0.477 (0.056) | 0.685 (0.030) | 0.713 (0.029) |
E3 | 0.370 (0.056) | 0.592 (0.045) | 0.694 (0.031) | 0.422 (0.053) | 0.685 (0.030) | 0.699 (0.028) |
E4 | 0.447 (0.047) | 0.501 (0.040) | 0.525 (0.034) | 0.511 (0.044) | 0.555 (0.044) | 0.572 (0.040) |
Maize data set 2b | ||||||
E1 | 0.558 (0.038) | 0.603 (0.043) | 0.624 (0.045) | 0.583 (0.042) | 0.644 (0.037) | 0.645 (0.037) |
E2 | 0.507 (0.049) | 0.567 (0.055) | 0.575 (0.054) | 0.542 (0.056) | 0.581 (0.057) | 0.582 (0.057) |
E3 | 0.508 (0.051) | 0.517 (0.045) | 0.525 (0.046) | 0.568 (0.044) | 0.577 (0.044) | 0.578 (0.044) |
Wheat data set 3c | ||||||
E1 | 0.529 (0.044) | 0.603 (0.033) | 0.617 (0.031) | 0.557 (0.040) | 0.625 (0.033) | 0.631 (0.035) |
E2 | 0.622 (0.045) | 0.706 (0.031) | 0.716 (0.029) | 0.642 (0.030) | 0.688 (0.033) | 0.689 (0.034) |
E3 | 0.452 (0.051) | 0.506 (0.045) | 0.512 (0.043) | 0.523 (0.048) | 0.547 (0.041) | 0.551 (0.041) |
E4 | 0.493 (0.046) | 0.504 (0.041) | 0.507 (0.039) | 0.511 (0.042) | 0.508 (0.053) | 0.510 (0.052) |
SDs are given in parentheses. The highest prediction accuracies for each environment in each data set are shown in boldface. GBLUP, genomic best linear unbiased predictors: GK, Gaussian kernel.
Empirical phenotypic correlation between environments: E1 vs. E2= −0.019; E1 vs. E3= −0.19; E1 vs. E4= −0.12; E2 vs. E3 = 0.661; E2 vs. E4 = 0.411; E3 vs. E4 = 0.388.
Empirical phenotypic correlation between environments: E1 vs. E2 = 0.388; E1 vs. E3 = 0.262; E 2 vs. E3 = 0.153.
Empirical phenotypic correlation between environments: E1 vs. E2 = 0.527; E1 vs. E3 = 0.253; E1 vs. E4 = 0.259; E2 vs. E3 = 0.340; E2 vs. E4 = 0.328; E3 vs. E4 = 0.22.