Enhancing genomic prediction accuracy of swine agricultural economic traits in CNN models
Peer-Reviewed Publication
Updates every hour. Last Updated: 19-Dec-2025 10:11 ET (19-Dec-2025 15:11 GMT/UTC)
The CNN model achieved the highest genomic prediction accuracy for swine traits when using SNP sets comprising 1,000 markers. A novel one-hot encoding strategy representing 16 genotypes with eight binary variables significantly outperformed traditional encoding methods in CNN-based prediction. The improved CNN framework offers a powerful tool for enhancing genomic prediction accuracy, providing valuable support for data-driven swine breeding programs.
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