Un modele épidémiologique pour piloter le traitement contre F. graminearum sur céréales à paille: analyse de sensibilité sur les paramètres climatiques

Translated title of the contribution: [Autom. eng. transl.] An epidemiological model to pilot the treatment against F. graminearum on straw cereals: sensitivity analysis on climatic parameters

Vittorio Rossi, Valentina Manstretta, C. Corre, E. Gourdain, G. Guénolé, E. Héritier

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Fusarium head blight is a major disease of wheat; it alters the yield and grain quality. In a context of reduced use of pesticides and regulations on mycotoxins at harvest, ARVALIS in collaboration with the University of Piacenza is developing a model that aims to optimize treatment against F. graminearum, the main mycotoxins-producing species on wheat. This mechanistic model describes the sexual stage of the pathogen. A first prototype was developed based on climatic parameters. To understand better the model outputs and the influence of each of the model parameters on these outputs, a sensitivity analysis was performed through three methods: Morris, ANOVA and Random Forest. These methods gave consistent results, enabling us to identify the most influential parameters.
Translated title of the contribution[Autom. eng. transl.] An epidemiological model to pilot the treatment against F. graminearum on straw cereals: sensitivity analysis on climatic parameters
Original languageFrench
Title of host publicationAFPP – ONZIÈME CONFÉRENCE INTERNATIONALE SUR LES MALADIES DES PLANTES. TOURS – 7 AU 9 DÉCEMBRE 2015
Pages1-10
Number of pages10
Publication statusPublished - 2015
EventAFPP – ONZIÈME CONFÉRENCE INTERNATIONALE SUR LES MALADIES DES PLANTES - Tours
Duration: 7 Dec 20159 Dec 2015

Conference

ConferenceAFPP – ONZIÈME CONFÉRENCE INTERNATIONALE SUR LES MALADIES DES PLANTES
CityTours
Period7/12/159/12/15

Keywords

  • Analyse de sensibilité
  • Blé
  • Fusariose des épis
  • Fusarium Head Blight
  • Fusarium graminearum
  • Modeling
  • Modélisation
  • Sensitivity Analysis
  • Wheat

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