Advancing Sclerotinia risk forecasting for winter rapeseed in Germany: integrating crop phenology and disease development into a decision support system
The enhanced SkleroPro model improves disease risk forecasting by identifying high- and low-risk windows for fungicide application, reducing unnecessary treatments while maintaining effective disease control. This decision support tool promotes sustainable winter rapeseed production. The model is currently undergoing further validation with the German Plant Protection Services before being made freely available to farmers. © 2025 The Author(s). Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
Authors
- Lena Müller (ORCID: https://orcid.org/0000-0002-6036-4514)
- V. E. Krause
- Anto Dominic (ORCID: https://orcid.org/0000-0003-0754-6199)
- Nazanin Zamani‐Noor (ORCID: https://orcid.org/0000-0001-6055-8856)
- Hella Kehlenbeck (ORCID: https://orcid.org/0000-0002-5568-4070)
Institutions
- Julius Kühn-Institut (DE)
- Zen-Noh (Japan) (JP)
Publication Details
- Journal
- Pest Management Science
- Published
- 2025-08-22
- DOI
- https://doi.org/10.1002/ps.70166
- Citations
- 1
- Primary Topic
- Plant pathogens and resistance mechanisms
- Type
- article
- Field-Weighted Citation Impact
- 1.75
Funders
- Bundesministerium für Ernährung und Landwirtschaft
- Bundesamt für Landwirtschaft