Agronomy for Sustainable Development

, Volume 33, Issue 4, pp 767–776 | Cite as

Fungal infections of rice, wheat, and grape in Europe in 2030–2050

  • Simone BregaglioEmail author
  • Marcello Donatelli
  • Roberto Confalonieri
Research Article


Although models to predict climate impact on crop production have been used since the 1980s, spatial and temporal diffusion of plant diseases are poorly known. This lack of knowledge is due to few models of plant epidemics, high biophysical complexity, and difficulty to couple disease models to crop simulators. The first step is the evaluation of disease potential growth in response to climate drivers only. Here, we estimated the evolution of potential infection events of fungal pathogens of wheat, rice, and grape in Europe. A generic process-based infection model driven by air temperature and leaf wetness data was parameterized with the thermal and moisture requirements of the pathogens. The model was run on current climate as baseline, and on two time frames centered on 2030 and 2050. Our results show an overall increase in the number of infection events, with differences among the pathogens, and showing complex geographical patterns. For wheat, Puccinia recondita, or brown rust, is forecasted to increase +20–100 % its pressure on the crop. Puccinia striiformis, or yellow rust, will increase 5–20 % in the cold areas. Rice pathogens Pyricularia oryzae, or blast disease, and Bipolaris oryzae, or brown spot, will be favored all European rice districts, with the most critical situation in Northern Italy (+100 %). For grape, Plasmopara viticola, or downy mildew, will increase +5–20 % throughout Europe. Whereas Botrytis cinerea, or bunch rot, will have heterogeneous impacts ranging from −20 to +100 % infection events. Our findings represents the first attempt to provide extensive estimates on disease pressure on crops under climate change, providing information on possible future challenges European farmers will face with in the coming years.


Infection process Plant fungal diseases Potential infection Process-based models Spatialized simulation SRES scenarios 



This work was partially funded by the Italian Ministry of Agricultural, Food and Forestry Policies under the AgroScenari project.


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Copyright information

© INRA and Springer-Verlag France 2013

Authors and Affiliations

  • Simone Bregaglio
    • 1
    Email author
  • Marcello Donatelli
    • 2
  • Roberto Confalonieri
    • 1
  1. 1.Department of Agricultural and Environmental Sciences—Production, Landscape, Agroenergy, CASSANDRAUniversity of MilanMilanItaly
  2. 2.Consiglio per la Ricerca e la Sperimentazione in Agricoltura, Consiglio per la Ricerca e la Sperimentazione in AgricolturaBolognaItaly

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