Fig. 4From: Modeling heterogeneous (co)variances from adjacent-SNP groups improves genomic prediction for milk protein composition traitsReliability of prediction using various proportions of genomic segments. Predictions were based on post-Gibbs analyses of samples from the MT-100-BayesA model. Segments were ranked based on explained covariance separately for each training setBack to article page