Generic response functions to simulate climate-based processes in models for the development of airborne fungal crop pathogens
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DOI: 10.1016/j.ecolmodel.2012.05.012
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Cited by:
- Silvia Traversari & Sonia Cacini & Angelica Galieni & Beatrice Nesi & Nicola Nicastro & Catello Pane, 2021. "Precision Agriculture Digital Technologies for Sustainable Fungal Disease Management of Ornamental Plants," Sustainability, MDPI, vol. 13(7), pages 1-22, March.
- Vanalli, Chiara & Radici, Andrea & Casagrandi, Renato & Gatto, Marino & Bevacqua, Daniele, 2024. "Phenological and epidemiological impacts of climate change on peach production," Agricultural Systems, Elsevier, vol. 218(C).
- Majid Galoie & Fouad Kilanehei & Artemis Motamedi & Mohammad Nazari-Sharabian, 2021. "Converting Daily Rainfall Data to Sub-daily—Introducing the MIMD Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(11), pages 3861-3871, September.
- Landry, C. & Bonnot, F. & Ravigné, V. & Carlier, J. & Rengifo, D. & Vaillant, J. & Abadie, C., 2017. "A foliar disease simulation model to assist the design of new control methods against black leaf streak disease of banana," Ecological Modelling, Elsevier, vol. 359(C), pages 383-397.
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Keywords
Airborne plant pathogenic fungi; Climate variability; Climate change; Disease development; Generic ability; Plant microclimate;All these keywords.
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