A GENERIC INFECTION MODEL TO COMPARE AIRBORNE FUNGAL PLANT PATHOGENS FOR CLIMATE CHANGE STUDIES
| Autor: | M. Launay, Gaétan Bourgeois, J. Caubel, F. Huard, N. Brisson |
|---|---|
| Přispěvatelé: | Association de Coordination Technique Agricole (ACTA), Centre de Recherche et de Développement en Horticulture (CRDH), Agriculture et Agroalimentaire Canada, Agroclim (AGROCLIM), Institut National de la Recherche Agronomique (INRA), ProdInra, Migration |
| Rok vydání: | 2015 |
| Předmět: |
[SDV.SA]Life Sciences [q-bio]/Agricultural sciences
0106 biological sciences [SDV.SA] Life Sciences [q-bio]/Agricultural sciences wetness duration Ecology [SDE.MCG]Environmental Sciences/Global Changes temperature Climate change 04 agricultural and veterinary sciences 15. Life on land Horticulture Biology 01 natural sciences [SDE.MCG] Environmental Sciences/Global Changes 13. Climate action 040103 agronomy & agriculture albugo occidentalis 0401 agriculture forestry and fisheries phytophthora ramorum cercospora carotae botrytis cinerea Weibull equation crop disease 010606 plant biology & botany |
| Zdroj: | Acta Horticulturae 9. International Symposium on Modelling in Fruit Research and Orchard Management 9. International Symposium on Modelling in Fruit Research and Orchard Management, Jun 2011, Saint Jean sur Richelieu, Canada Scopus-Elsevier |
| ISSN: | 2406-6168 0567-7572 |
| DOI: | 10.17660/actahortic.2015.1068.21 |
| Popis: | International audience; Generic models can be relevant tools for exploring and comparing the impact of climate change on the development of crop diseases. The infection process of foliar pathogens is mainly driven by surface wetness duration (SWD) and temperature. Hence, our objective was to propose a generic response function that attempts to be robust (adapted to the infection process of many foliar pathogens), and easy to apply (well-informed parameters in the literature). This model was then used to quantify the impact of climate change on four foliar fungal pathogens, in the French context. First, the infection was modeled as a function of, both, temperature and SWD, using a simplified version of the sigmoidal Weibull equation. The upper asymptote of this equation was described by linear functions between four cardinal temperatures. Second, this model was fitted and validated with published data from 19 controlled laboratory studies. Especially low relative root mean square errors (RRMSE) were obtained for species in the genera Colletotrichum (about 0.11) and Puccinia (about 0.23). Last, the model was used to assess the CC impact on the infection rate and frequency of Albugo occidentalis, Phytophthora ramorum, Cercospora carotae and Botrytis cinerea. The simulations showed different trends, according to the four pathogens and climate sites: an increased frequency of infection and of the rate of infection of A. occidentalis and P. ramorum, in northern France, and the maintaining or the decrease of the frequency and rate of infection, at more or less long-term, for C. carotae and B. cinerea, in southern France. The importance of microclimate in the canopy, to explain the infection process, could justify coupling this generic model of infection to a mechanistic model based on energy balances, to simulate temperature and SWD, within the crop cover, rather than at the weather station scale |
| Databáze: | OpenAIRE |
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