Additional file 1: of Genomic prediction using subsampling

Results presented by individual dataset Figure S1. Time to fit the model (y axis) varying the subsampling method (x axis). Figure S2. Prediction ability (y axis) varying the subsampling method (x axis). Methods include Bayesian ridge regression (BRR) with regular sampler, and SBMC subsampling from 25 to 100%, with and without replacement. Figure S3. Mean squared prediction error (y axis) varying the subsampling method (x axis). Methods include Bayesian ridge regression (BRR) with regular sampler, and SBMC subsampling from 25 to 100%, with and without replacement. Figure S4. Bias (y axis) varying the subsampling method (x axis). Methods include Bayesian ridge regression (BRR) with regular sampler, and SBMC subsampling from 25 to 100%, with and without replacement. (DOCX 232 kb