Table 4 GEBV accuracies from within-population prediction using GBLUP and PED-BLUP (scenarios 1–3)
N TrainingN ValidationAccuracya (SD)Slopeb
TraitScenarior2DLLWF1DLLWF1GBLUPPED-BLUPGBLUPPED-BLUP
AFI10.451017500.26 (0.16)0.25 (0.15)1.211.13
20.451339500.22 (0.09)0.21 (0.19)1.251.08
30.33237500.37 (0.09)0.30 (0.12)1.040.90
TNB10.451016500.26 (0.12)0.25 (0.12)1.701.90
20.491333500.24 (0.15)0.25 (0.15)1.241.50
30.40231500.40 (0.11)0.35 (0.14)1.522.21
LBW10.781020500.64 (0.09)0.58 (0.06)1.081.06
20.801335500.72 (0.06)0.64 (0.07)1.031.05
30.77236500.40 (0.11)0.39 (0.13)1.101.27
LVR10.501019500.50 (0.11)0.40 (0.10)1.041.03
20.531335500.46 (0.09)0.39 (0.15)1.051.17
30.49235500.34 (0.09)0.33 (0.11)1.031.19
  • r2 is the mean reliability of deregressed estimated breeding values from the training population. SD, standard deviation, DL, Dutch Landrace; LW, Large White; F1, cross between DL and LW; AFI, age at first insemination; TNB, total number of piglets born; LBW, litter birth weight; LVR, litter variation. Scenario 1, within-population prediction for DL; scenario 2, within-population prediction for LW; scenario 3, within-population prediction for F1.

  • a Estimate obtained by 20-random training-validation populations.

  • b Regression coefficient of the GEBV/EBV on the DEBV.