Table 3.
Predictability of the five traits based on the BLUP model, just inclusion of one type of kinship matrix
SNP sets | YD | HD | PH | GL | GW |
---|---|---|---|---|---|
Regulatory | 0.451 ± 0.008a | 0.562 ± 0.011 | 0.697 ± 0.006 | 0.551 ± 0.007 | 0.693 ± 0.006 |
Intron | 0.447 ± 0.008 | 0.545 ± 0.011 | 0.687 ± 0.008 | 0.545 ± 0.008 | 0.691 ± 0.006 |
Exon | 0.443 ± 0.008 | 0.544 ± 0.011 | 0.692 ± 0.007 | 0.536 ± 0.008 | 0.685 ± 0.006 |
Intergenic | 0.455 ± 0.008 | 0.556 ± 0.011 | 0.697 ± 0.006 | 0.552 ± 0.008 | 0.697 ± 0.006 |
Gene | 0.445 ± 0.008 | 0.542 ± 0.011 | 0.687 ± 0.007 | 0.539 ± 0.008 | 0.688 ± 0.006 |
Non-gene | 0.453 ± 0.008 | 0.559 ± 0.011 | 0.695 ± 0.007 | 0.552 ± 0.008 | 0.695 ± 0.006 |
GBLUP (whole) | 0.451 ± 0.008 | 0.555 ± 0.011 | 0.693 ± 0.007 | 0.549 ± 0.008 | 0.694 ± 0.006 |
Regulatory, intron, exon, intergenic, gene and non-gene represents the kinship matrix inferred from genetic variants within this kind of category
GBLUP (whole) represents that all the variants are used to infer the kinship matrix
aDenotes the standard error of predictability of traits, calculated from 100 replicates of tenfold cross-validation