Comparative assessment of genomic, phenomic, and metabolomic prediction models in biparental grapevine breeding populations
Clémentine Borrelli, Louise Delannoy, Hadrien Chepca, Marcos Calcaterra, Elsa Chedid, A. Guillaume, Vincent Dumas, Raymonde Baltenweck, Alessandra Maia‐Grondard, Philippe Hugueney, Didier Merdinoglu, Éric Duchêne, Komlan Avia
The paper benchmarks genomic, phenomic, and metabolomic prediction models for agronomic traits in grapevine breeding populations, finding genomic prediction most accurate and metabolomic intermediate.
bioRxiv · Oct 24, 2025 · PreprintGenomics