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SESSION 5: DISEASE CONTROL AND FORECASTING MODELS P117 - Influence of weather conditions and planting dates on deoxynivalenol accumulation in commercial maize hybrids grown in Ontario, Canada V. Limay-Rios 1 , R. Burlakoti 2 , K. Vink 2 , A. Schaafsma 1 1 University of Guelph, Ridgetown Campus, Ridgetown, Ontario, Canada; 2 Weather INnovations Incorporated, Chatham, Ontario, Canada E-mail: vlimayri@uoguelph.ca Fusarium graminearum is the most economically important plant pathogen associated with ear rot and deoxynivalenol (DON) accumulation in harvested maize grain in Ontario. Swine are particularly vulnerable to DON exposure causing feed refusal, weight loss and immune-suppression at low doses. High levels of ear rot infection were observed in Ontario during the 2006 and 2011 growing season resulting in DON levels higher than the maximum tolerable level for swine diets. In this study, grain samples from commercial fields and experimental plots across Ontario collected from 2006 to 2012 were analyzed for DON with a detection limit of 0.2 ppm. The impact of planting date, hybrid crop heat unit (CHU) classification and weather conditions during different crop stages on total DON accumulations in grains was assessed using partial least square regression analyses. Results showed that hybrid CHU classification had less influence on the variability of DON accumulation, while planting dates and weather variables (temperature and rainfall) had a greater impact on DON accumulation. In general, hybrids planted later had relatively higher DON levels at harvest than those planted earlier. The maximum temperature during the period between flowering and grain filling was inversely associated with DON accumulation. The frequency and amount of rainfall specifically during flowering (silking to blister stages), grain filling (milking to dent stages), and generally in the period between flowering and grain filling critically affected the amount of DON accumulation. In particular, temperature and rainfall during the grain filling period was relatively more critical to DON accumulation compared with other development stages. Higher daily maximum temperatures had a negative impact while higher rainfall amounts had a positive impact on DON accumulation throughout this period. The findings of this study will be useful to develop a future weather-based DON prediction tool for maize. Keywords : Fusarium, mycotoxin, deoxynivalenol, maize, weather, forecast 211
SESSION 5: DISEASE CONTROL AND FORECASTING MODELS P118 - Evaluation of Predictive Models for Wheat Fusarium Head Blight under Growing Conditions of Quebec, Canada M.-E. Giroux 1 , A. Vanasse 1 , G. Bourgeois 2 , Y. Dion 3 , S. Rioux 4 , D. Pageau 5 , S. Zoghlami 6 , C. Parent 7 , E. Vachon 8 1 Département de phytologie, Université Laval, Québec, QC, G1V 0A6; 2 Agriculture et Agroalimentaire Canada, Saint-Jean-sur-Richelieu, QC, J3B 3E6; 3 Centre de recherche sur les grains inc. (CÉROM), Saint-Mathieu-de-Beloeil, QC, J3G 0E2; 4 Centre de recherche sur les grains inc. (CÉROM), Complexe Scientifique, Québec, QC, G1P 3W8; 5 Agriculture et Agroalimentaire Canada, Normandin, QC, Canada, G8M 4K3; 6 Fédération des producteurs de cultures commerciales du Québec, Longueuil, QC, J4H 4G4; 7 MAPAQ, 200 chemin Ste-Foy, 10ème étage, Québec, QC, G1R 4X6; 8 Moulins de Soulanges, 485 rue St-Philippe, Saint-Polycarpe, QC, J0P 1X0 E-mail: anne.vanasse@fsaa.ulaval.ca Fusarium head blight is a fungal disease of cereals and maize causing economic losses to farmers each year. To manage the risks associated with this disease, many countries have developed predictive models. For instance, they have been implemented in Ontario (Canada), in the United States, in Argentina, and in Italy, but none of them have been made in Quebec (Canada). This work aims to determine which model produces the most accurate predictions of disease infection and/or mycotoxins content in the weather conditions occurring in Quebec. Spring wheat was grown during two seasons and winter wheat during one season at four experimental sites located in the three different cereal production zones of Quebec. The selected models for evaluation produce predictions of deoxynivalenol (DON) content (Canada, Italy), disease incidence (Argentina, Italy infection) and probability of epidemic (United States). Data from plots without fungicide (52 samplings) was used to test the models listed above. Then, the reliability of the selected models was evaluated with receiver operating characteristic (ROC) curve analysis. Deoxynivalenol (DON) content was used to assess an epidemic or non epidemic situation for each sampling of the data set. Models from the United States and Argentina were more reliable than the others when the thresholds recommended in the literature were adjusted. Pairwise comparisons showed that there was no difference between the areas under the ROC curves (AUCs) of the American and Argentinean models. The reliability of the different models will be validated with data from fifty commercial fields. Therefore, the American and the Argentinean models are a good starting point for a model adapted to wheat production in Quebec. Keywords: disease forecasting, fusarium head blight, deoxynivalenol, wheat 212
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Bordeaux EFS12 12 th European Fusar
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TABLE OF CONTENTS Welcome from the
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4 SPONSORSHIP The 12 th European Fu
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8 13:00 - 14:00 Lunch 14:00 - 15:00
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10 Session 4: Genetics of Hosts - P
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12 Thursday, May 16 th Session 6: F
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Evidence for birth-and-death evolut
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Future challenges of Fusarium and m
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P35 - Screening deoxynivalenol in o
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P76 - Fusarium verticillioides and
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P113 - Agronomic practices and risk
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ORAL PRESENTATIONS 25
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KEYNOTE LECTURE SESSION 1: FUSARIUM
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SESSION 1: FUSARIUM - GENETICS, GEN
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KEYNOTE LECTURE SESSION 2: SECONDAR
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SESSION 2: SECONDARY METABOLITES -
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SESSION 3: PATHOGENESIS - EPIDEMIOL
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KEYNOTE LECTURE 1 SESSION 4: GENETI
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SESSION 4: GENETICS OF HOSTS - PLAN
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KEYNOTE LECTURE 2 SESSION 4: GENETI
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KEYNOTE LECTURE SESSION 5: DISEASE
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SESSION 5: DISEASE CONTROL AND FORE
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SESSION 6: FUTURE CHALLENGE FOR EUR
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SESSION 6: FUTURE CHALLENGE FOR EUR
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POSTER PRESENTATIONS 91
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Page 241 and 242: de Hoog G. S., 89, 114, 236 de Kler
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Page 247 and 248: BOKU-University of Natural Resource
Page 249 and 250: touatisihem03@yahoo.fr He Xinyao In
Page 251 and 252: steve.oliver@bioc.cam.ac. uk Ortega
Page 253 and 254: Subramaniam Gopal Agriculture and A
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