Incorporating information of causal variants in genomic prediction using GBLUP or machine learning models in a simulated livestock population
Abstract Background Genomic prediction has revolutionized animal breeding, with GBLUP being the most widely used prediction model. In theory, the accuracy of genomic prediction could be improved by incorporating information from QTL. This strategy could be especially beneficial for machine learning...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-08-01
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| Series: | Journal of Animal Science and Biotechnology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40104-025-01250-5 |
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