Large language and foundation models in predictive plant breeding: Capabilities, evidence, and challenges.
- DOI
- 10.1016/j.molp.2026.10.020
- Published
- 2026 Nov 4
- Container
- Molecular plant
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.molp.2026.10.020,
title = {Large language and foundation models in predictive plant breeding: Capabilities, evidence, and challenges.},
author = {Han J and Seo A and Anh PC and Vu TM and Jackson SA and Pickering E and Kim KD},
year = {2026},
journal = {Molecular plant},
doi = {10.1016/j.molp.2026.10.020},
url = {https://doi.org/10.1016/j.molp.2026.10.020}
}RIS
TY - JOUR TI - Large language and foundation models in predictive plant breeding: Capabilities, evidence, and challenges. AU - Han J AU - Seo A AU - Anh PC AU - Vu TM AU - Jackson SA AU - Pickering E AU - Kim KD PY - 2026 JO - Molecular plant DO - 10.1016/j.molp.2026.10.020 UR - https://doi.org/10.1016/j.molp.2026.10.020 ER -
APA
J, H., A, S., PC, A., TM, V., SA, J., E, P., & KD, K. (2026). Large language and foundation models in predictive plant breeding: Capabilities, evidence, and challenges.. Molecular plant. https://doi.org/10.1016/j.molp.2026.10.020
Source records
- pubmed · retrieved 2026-11-10T11:04:23.904Z