2017/01/01 by Serge Savary, Céline Jouanin, Savary, Serge +11
Agricultural and Biological Sciences · Environmental Science · #0 #Agricultural extensification #Agriculture durable #Analyse de correspondance #Blé #Categorical data #Correspondence analysis #Crop health #Crop management #Données catégoriques #Extensification agricole #Facteurs de risque #Fermentation and Sensory Analysis #Forest Insect Ecology and Management #Gestion des cultures #Horticultural and Viticultural Research #Logistic regression #Multiple pathosystem #Pathosystème multiple #Risk factors #Régression logistique #Santé des plantes #Sustainable agriculture #Wheat
paper · doi:10.15454/1.5138436922221646e12
openalex publication_date 2017/01/01 · openalex created_date 2022/07/13 · openalex updated_date 2026/07/28
A large network of field experiments has been conducted over several years across France to identify combinations of winter wheat cultivars and management leading to achieve the double objective of ecological sustainability and economic viability. Little information is available to document the variation in multiple disease levels, a necessary step towards a chemical extensification process, in wheat networked experiments. This article provides a description of disease intensities in a set of 101 experiments totalling 3525 individual wheat plots over eight successive years (2003–2010). The diseases considered are brown rust (BR, Puccinia triticina), yellow rust (YR, Puccinia striiformis), fusarium head blight (FHB, Fusarium graminearum, F. culmorum, and F. avenaceum), powdery mildew (PM, Blumeria graminis), and septoria tritici blotch (STB, Zymoseptoria tritici). Disease intensities were represented by binary variables (epidemic vs non-epidemic), and three disease syndromes were identified, which correspond to different disease profiles. Three variety groups were also identified, according to their responses to diseases. The results indicate that climatic years, wheat varieties, and crop management, in this decreasing order, define disease epidemic risk in the multiple wheat-diseases pathosystem. The associations between climate variables and epidemic risks identified here conform to disease-specific knowledge of climate effects on the components of the pathosystem. This report emphasises the value of large scale data in crop health assessment and the usefulness of a risk factor approach for both tactical and strategic decisions for crop health management.