Supporting data for: Multi-modal deep learning improves grain yield prediction in wheat breeding by fusing genomics and phenomics
- DOI
- 10.5061/dryad.kprr4xh5p
- Published
- 2023
- Container
- Not recorded
- Publisher
- Dryad
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.5061/dryad.kprr4xh5p,
title = {Supporting data for: Multi-modal deep learning improves grain yield prediction in wheat breeding by fusing genomics and phenomics},
author = {Wang, Xu and Shrestha, Sandesh and Juliana, Philomin and Mondal, Suchismita and Poland, Jesse and Espinosa, Francisco Pinto and Singh, Ravi and Togninalli, Matteo and Kucera, Tim and Borgwardt, Karsten},
year = {2023},
doi = {10.5061/dryad.kprr4xh5p},
url = {https://doi.org/10.5061/dryad.kprr4xh5p}
}RIS
TY - JOUR TI - Supporting data for: Multi-modal deep learning improves grain yield prediction in wheat breeding by fusing genomics and phenomics AU - Wang, Xu AU - Shrestha, Sandesh AU - Juliana, Philomin AU - Mondal, Suchismita AU - Poland, Jesse AU - Espinosa, Francisco Pinto AU - Singh, Ravi AU - Togninalli, Matteo AU - Kucera, Tim AU - Borgwardt, Karsten PY - 2023 DO - 10.5061/dryad.kprr4xh5p UR - https://doi.org/10.5061/dryad.kprr4xh5p ER -
APA
Xu, W., Sandesh, S., Philomin, J., Suchismita, M., Jesse, P., Pinto, E. F., Ravi, S., Matteo, T., Tim, K., & Karsten, B. (2023). Supporting data for: Multi-modal deep learning improves grain yield prediction in wheat breeding by fusing genomics and phenomics. https://doi.org/10.5061/dryad.kprr4xh5p
Source records
- datacite · retrieved 2026-11-04T04:44:11.369Z