Table 5.
Significance of differences in accuracies between ST and MT models
Model | Scenario | rg | Trait 1 | Trait 2 |
---|---|---|---|---|
G | 1 | 0.25 | ||
G | 1 | 0.54 | ** | |
G | 1 | 0.75 | *** | |
BCπ0 | 1 | 0.25 | ||
BCπ0 | 1 | 0.54 | *** | |
BCπ0 | 1 | 0.75 | *** | |
BSSVS | 1 | 0.25 | ||
BSSVS | 1 | 0.54 | ** | |
BSSVS | 1 | 0.75 | *** | |
G | 2 | 0.25 | ||
G | 2 | 0.54 | *** | |
G | 2 | 0.75 | ** | *** |
BCπ0 | 2 | 0.25 | ||
BCπ0 | 2 | 0.54 | *** | |
BCπ0 | 2 | 0.75 | * | *** |
BSSVS | 2 | 0.25 | ||
BSSVS | 2 | 0.54 | ||
BSSVS | 2 | 0.75 | ** | *** |
Comparisons are between the accuracy of ST and MT implementations of the same SNP-based models for animals without any phenotypes (generation 3) across scenarios, genetic correlations (rg), and traits
*** P-value < 0.001, ** P-value < 0.01, * P-value < 0.05