Figure 2
From: Genomic value prediction for quantitative traits under the epistatic model
The r-square between the phenotypic values of somatic embryogenesis of soybean and their predictions by the leave-one-out cross validation analysis. The black curve represents the change of squared correlation coefficient by increasing the number of sorted markers (from the strongest to the weakest) in the model. The blue curve shows the change of squared correlation coefficient by increasing the number of randomly selected markers in the model. The squared correlation coefficient reaches its maximum at 0.33 when 27 markers with the largest LOD scores are included in the model.