Fig. 1

Prediction accuracy of maize phenotypes. Prediction accuracy (measured as mean R²) of maize phenotypes as a function of the number of SNPs used for the model (presented as logarithmic values) on the Φ data. The trend estimate, represented by the solid black curve, is obtained through smoothing. The maximum accuracy is indicated by the vertical green line. Mean performance of the model when trained on all SNPs is represented by the horizontal black line, with the shaded interval around it indicating the standard error of the mean of 10 cross-validation repetitions. The prediction accuracy of all three traits could be strongly increased using IFS with improvements ranging from 0.035 to 0.147