Supplemental Material for Pook et al., 2021

Figure S1: Genetic gain in the reference dairy cattle breeding scheme (Figure 2) with 95% confidence bands for the trait RZE (type). This figure is an exemplary output of the "True Breeding values"-module in MoBPSweb (www.mobps.de).<br>Figure S2: Genetic gain in the reference dairy cattle breeding scheme (Figure 2) with 95% confidence bands for the trait RZR (fertility). This figure is an exemplary output of the "True Breeding values"-module in MoBPSweb (www.mobps.de).<br>Figure S3: Genetic gain in the reference dairy cattle breeding scheme (Figure 2) with 95% confidence bands for the trait RZS (somatic cell score). This figure is an exemplary output of the "True Breeding values"-module in MoBPSweb (www.mobps.de).<br>Figure S4: Genetic gain in the reference dairy cattle breeding scheme (Figure 2) with 95% confidence bands for the trait RZKm (calving traits). This figure is an exemplary output of the "True Breeding values"-module in MoBPSweb (www.mobps.de).<br>Figure S5: Prediction accuracy of the breeding value estimation for the different scenarios. Prediction accuracy is defined here, as the correlation between the estimated breeding value (ssBLUP_BVE, pedigree_BVE) / phenotypes (Baseline, Low_SelectionIntensity, Change_IndexWeights) and the underlying true genomic values.<br>File S1: JSON-files generated in MoBPSweb for the scenarios compared ("Baseline", "pedigree_BVE", "ssBLUP_BVE", "Low_SelectionIntensity", "Change_IndexWeights")<br>File S2: JSON-files generated in MoBPSweb for an exemplary commercial layer breeding program.<br>File S3: JSON-files generated in MoBPSweb for a horse breeding program.<br>File S4: JSON-files generated in MoBPSweb for the cock rotation breeding program. <br>File S5: JSON-files generated in MoBPSweb for the generation of a MAGIC population in maize.<br>File S6: Exemplary R-script to simulate the reference dairy cattle breeding scheme (Figure 2).