Phenotyping grapevine resistance to downy mildew: deep learning as a promising tool to assess sporulation and necrosis.
- DOI
- 10.1186/s13007-024-01220-4
- Published
- 2024 Jun 13
- Container
- Plant methods
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s13007-024-01220-4,
title = {Phenotyping grapevine resistance to downy mildew: deep learning as a promising tool to assess sporulation and necrosis.},
author = {Macia FM and Possamai T and Dorne MA and Lacombe MC and Duchêne E and Merdinoglu D and Peeters N and Rousseau D and Wiedemann-Merdinoglu S},
year = {2024},
journal = {Plant methods},
doi = {10.1186/s13007-024-01220-4},
url = {https://doi.org/10.1186/s13007-024-01220-4}
}RIS
TY - JOUR TI - Phenotyping grapevine resistance to downy mildew: deep learning as a promising tool to assess sporulation and necrosis. AU - Macia FM AU - Possamai T AU - Dorne MA AU - Lacombe MC AU - Duchêne E AU - Merdinoglu D AU - Peeters N AU - Rousseau D AU - Wiedemann-Merdinoglu S PY - 2024 JO - Plant methods DO - 10.1186/s13007-024-01220-4 UR - https://doi.org/10.1186/s13007-024-01220-4 ER -
APA
FM, M., T, P., MA, D., MC, L., E, D., D, M., N, P., D, R., & S, W. (2024). Phenotyping grapevine resistance to downy mildew: deep learning as a promising tool to assess sporulation and necrosis.. Plant methods. https://doi.org/10.1186/s13007-024-01220-4
Source records
- pubmed · retrieved 2026-09-27T06:25:19.820Z
- europe-pmc · retrieved 2026-09-27T06:25:19.818Z
- doaj · retrieved 2026-09-27T06:25:19.837Z
- hal · retrieved 2026-09-27T06:25:19.860Z