Table 1 Prediction accuracies obtained from the fivefold cross-validation scheme by training the Bayesian network (BN), pleiotropic Bayesian network (PBN), dynamic Bayesian network (DBN), multi time GBLUP (MTi-GBLUP) and multi trait GBLUP (MTr-GBLUP) models to predict dry biomass yield (DBY) collected at harvest and plant height (PH) measured across different days after planting (DAP). The standard deviation of the prediction accuracy obtained by each Bayesian model is reported within parentheses.
TraitAccuracy of the Genomic Prediction Models
BNPBNDBNMTi-GBLUPMTr-GBLUP
DBY0.47 (0.021)0.46 (0.009)0.49
PH-300.54 (0.021)0.53 (0.020)0.49 (0.022)0.570.57
PH-450.59 (0.016)0.58 (0.018)0.57 (0.016)0.620.62
PH-600.72 (0.013)0.71 (0.015)0.50 (0.016)0.750.74
PH-750.69 (0.015)0.69 (0.015)0.53 (0.013)0.730.73
PH-900.67 (0.015)0.67 (0.016)0.52 (0.013)0.710.71
PH-1050.66 (0.016)0.65 (0.016)0.52 (0.013)0.700.70
PH-1200.61 (0.018)0.60 (0.018)0.47 (0.014)0.660.66