Table 1.
Characteristics of systems for ssGBLUP and ssSNPBLUP
| Evaluation | Model | #Equations | #Iterations | Smallest eig. | Largest eig. | |
|---|---|---|---|---|---|---|
| FIN | ssGBLUP (10) | 11,373,208 | 4912 | 3.924 | ||
| ssGBLUP (30) | 11,373,208 | 4929 | 3.934 | |||
| ssSNPBLUP (10) | 11,627,330 | 5001 | 3.921 | |||
| ssSNPBLUP (30) | 11,627,330 | 4937 | 3.931 | |||
| KAR | ssGBLUP (10) | 26,709,604 | 3902 | 5.062 | ||
| ssGBLUP (30) | 26,709,604 | 3968 | 5.063 | |||
| ssSNPBLUP (10) | 26,861,584 | 4037 | 5.062 | |||
| ssSNPBLUP (30) | 26,861,584 | 3988 | 5.063 | |||
| LVD | ssGBLUP (10) | 96,688,714 | 5431 | 8.635 | ||
| ssSNPBLUP (10) | 96,916,684 | 5888 | 8.935 | |||
| LVD + block | ssGBLUP (10) | 96,688,714 | 1761 | 4.160 | ||
| ssGBLUP (30) | 96,688,714 | 1959 | 4.161 | |||
| ssSNPBLUP (10) | 96,916,684 | 2542 | 6.201 | |||
| ssSNPBLUP (30) | 96,916,684 | 2336 | 5.686 |
aPercentage of variance (due to additive genetic effects) explained by residual polygenic effects
b = Effective spectral condition number of the preconditioned coefficient matrix