Fig. 7
From: Multi-marker GWAS and variant-specific genomic prediction for growth traits in Pacific white shrimp
Genomic prediction accuracy across models, marker polymorphism levels, and genome-wide association study (GWAS)-selected loci. (A) Prediction accuracy of four genomic selection models (KRR, SVR, GBLUP, and Bayes‐B) applied to three classes of genetic markers (SNPs, InDels, and STRs) at increasing marker subsets (20–10,000 markers). (B) Comparison of GBLUP for three marker types—SNPs (gray), InDels (gold), and STRs (red). (C) Comparison of GBLUP and KRR models using the most polymorphic markers, including top-ranked STRs and SNPs selected based on polymorphic information content (PIC). (D) Cross-population validation in the validation population (VP) using marker subsets selected according to GWAS p-values. Four subsets were evaluated: SNP-Top, STR-Top, SNP-Random, and STR-Random. Predictive accuracies were assessed under three models: KRR, SVR, and GBLUP.
