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. 2023 Oct 4;14:1211472. doi: 10.3389/fpls.2023.1211472

Table 4.

Late blight and PCN resistance prediction accuracy of full vs reduced marker data using the GBLUP model.

Trait Training population size Heritability (ns) Cross Validation Prediction accuracy (rOPV : GEBV)
Range Average ± S.E.*
FMS RMS FMS RMS FMS RMS
GP20 134 0.55 0.38 -0.14-0.25 -0.23-0.31 0.10 ± 0.014 0.11 ± 0.016
GP21 131 0.60 0.46 -0.15-0.19 -0.15-0.33 0.04 ± 0.011 0.07 ± 0.016
GR20 134 0.82 0.63 -0.13-0.44 -0.13-0.50 0.21 ± 0.019 0.20 ± 0.017
GR21 131 0.70 0.65 -0.05-0.32 -0.10-0.39 0.14 ± 0.011 0.18 ± 0.018
AUDPC18 152 0.84 0.86 0.20-0.67 0.20-0.68 0.45 ± 0.015 0.46 ± 0.015
AUDPC19 107 0.80 0.80 0.34-0.68 0.33-0.69 0.51 ± 0.012 0.51 ± 0.012
AUDPC20 149 0.75 0.75 0.19-0.68 0.19-0.69 0.42 ± 0.017 0.43 ± 0.018

FMS, Full marker set; RMS, Reduced marker set; GEBV, Genomic estimated breeding value; OPV, Observed phenotype value; r, Pearson correlation; SE, Standard error; ns, Narrow sense; *, values are mean ± s.e. for 50 replicates.