Artificial intelligence meets genomic selection: comparing deep learning and GBLUP across diverse plant datasets
To enhance the implementation of genomic selection (GS) in plant breeding, we conducted a comprehensive comparative analysis of deep learning (DL) models and genomic best linear unbiased predictor (GBLUP) methods across 14 real-world datasets derived from diverse plant breeding programs. We evaluate...
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| Hauptverfasser: | , , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Frontiers Media S.A.
2025-04-01
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| Schriftenreihe: | Frontiers in Genetics |
| Schlagworte: | |
| Online-Zugang: | https://www.frontiersin.org/articles/10.3389/fgene.2025.1568705/full |
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