Fig. 5: Genomic prediction accuracies of different models for the cow dataset.
From: Improving multi-trait genomic prediction by incorporating local genetic correlations
a–d Represent different scenarios by varying the thresholds of the LGC models. For LGC-model-1 and LGC-model-3, two thresholds for significance were applied: P = 0.01 or 0.05. For LGC-model-2, two thresholds for distinguishing strong correlations were applied: \(|{r}_{{lgc}}|\) = 0.5 or 0.6. Prediction accuracy was measured as the Pearson correlation coefficient between de-regressed estimated breeding values (DRPs) and predicted genetic values. MY milk yield, FP fat percentage, PP protein percentage.
