GBLUP outperforms quantile mapping and outlier detection for enhanced genomic prediction
Genomic selection (GS) accelerates plant breeding by predicting complex traits using genomic data. This study compares genomic best linear unbiased prediction (GBLUP), quantile mapping (QM)—an adjustment to GBLUP predictions—and four outlier detection methods. Using 14 real datasets, predictive accu...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
MDPI
2025
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/175487 |
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