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.
GBLUP | GK | |||
---|---|---|---|---|
Wheat Data Set 1 | FA | Model (3) | EB-G × E | Model (3) |
E1 | 0.553 | 0.543 | 0.458 | 0.606 |
E2 | 0.611 | 0.720 | 0.644 | 0.713 |
E3 | 0.585 | 0.694 | 0.586 | 0.694 |
E4 | 0.51 | 0.525 | 0.543 | 0.572 |
GBLUP | GK | |||
Maize Data Set 2 | EB-G × E | Model (2) | EB-G × E | Model (3) |
E1 | 0.618 | 0.624 | 0.630 | 0.645 |
E2 | 0.547 | 0.575 | 0.566 | 0.582 |
E3 | 0.519 | 0.525 | 0.556 | 0.578 |
GBLUP | GK | |||
Wheat Data Set 3 | GBLUP-ME | Model (3) | Model (3) | |
E1 | 0.591 | 0.617 | 0.631 | |
E2 | 0.697 | 0.716 | 0.689 | |
E3 | 0.505 | 0.512 | 0.551 | |
E4 | 0.516 | 0.507 | 0.51 | |
GBLUP | GK | |||
Wheat Data Set 4 | GBLUP-ME | Model (3) | Model (3) | |
E1 | 0.513 | 0.601 | 0.616 | |
E2 | 0.536 | 0.588 | 0.587 | |
E3 | 0.531 | 0.609 | 0.613 | |
E4 | 0.561 | 0.611 | 0.607 | |
GBLUP | GK | |||
Wheat Data Set 5 | GBLUP-ME | Model (3) | ||
E1 | 0.575 | 0.583 | 0.637 | |
E2 | 0.466 | 0.458 | 0.518 | |
E3 | 0.629 | 0.632 | 0.688 | |
E4 | 0.402 | 0.608 | 0.630 | |
E5 | 0.376 | 0.596 | 0.597 |
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.