Skip to main content

Table 3 Predictive abilities and accuracy estimates with genomic prediction model with and without adding an SNP with the largest effect size as a fixed effect (GBLUP and GBLUP-F) based on simulated data using a trait with a heritability of 0.25 and evaluated using tenfold cross-validations

From: Preselection of QTL markers enhances accuracy of genomic selection in Norway spruce

PVE (%)

Overall

predictive ability

Within-family

predictive ability

Overall accuracy

Within-family accuracy

- QTN

 + QTN

- QTN

 + QTN

- QTN

 + QTN

- QTN

 + QTN

5

0.31 (0.06)

0.35 (0.06)

0.03 (0.07)

0.17 (0.07)

0.60 (0.05)

0.71 (0.04)

0.11 (0.08)

0.42 (0.06)

2.5

0.33 (0.07)

0.34 (0.06)

0.07 (0.08)

0.11 (0.07)

0.63 (0.06)

0.66 (0.05)

0.12 (0.09)

0.29 (0.07)

1.25

0.31 (0.06)

0.31 (0.07)

0.02 (0.06)

0.07 (0.07)

0.63 (0.05)

0.64 (0.05)

0.09 (0.07)

0.20 (0.08)

0.25

0.30 (0.07)

0.30 (0.06)

0.05 (0.06)

0.06 (0.07)

0.61 (0.05)

0.60 (0.06)

0.11 (0.07)

0.13(0.08)

0

0.32 (0.06)

0.31 (0.07)

0.05 (0.07)

0.05 (0.07)

0.62 (0.06)

0.61 (0.07)

0.11 (0.08)

0.10 (0.08)

  1. PVE is the percentage of phenotypic variance explained by a large effect size SNP. QTN represents the quantitative trait nucleotide with a large effect size where-and + signifies the absence (GBLUP) and presence (GBLUP-F) respectively, of this QTN in the genomic prediction model as a fixed effect. The presumed major-effect locus/QTN is fixed for each training population. The value in parenthesis indicates the standard deviation across replicate simulations