Modeling the Main Fungal Diseases of Winter Wheat: Constraints and Possible Solutions

El Jarroudi, Moussa and Kouadio, Louis ORCID: https://orcid.org/0000-0001-9669-7807 and Tychon, Bernard and El Jarroudi, Mustapha and Junk, Jurgen and Bock, Clive and Delfosse, Philippe (2018) Modeling the Main Fungal Diseases of Winter Wheat: Constraints and Possible Solutions. In: Advances in Plant Pathology. IntechOpen, London, United Kingdom, pp. 3-30. ISBN 978-1-78923-608-8

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Abstract

The first step in the formulation of disease management strategy for any cropping system is to identify the most important risk factors. This is facilitated by basic epidemiological studies of pathogen life cycles, and an understanding of the way in which weather and cropping
factors affect the quantity of initial inoculum and the rate at which the epidemic develops. Weather conditions are important factors in the development of fungal diseases in winter wheat, and constitute the main inputs of the decision support systems used to forecast disease and thus determine the timing for efficacious fungicide application. Crop protection often relies on preventive fungicide applications. Considering the slim cost−revenue ratio
for winter wheat and the negative environmental impacts of fungicide overuse, necessity for applying only sprays that are critical for disease control becomes paramount for a sustainable and environmentally friendly crop production. Thus, fungicides should only be applied at critical stages for disease development, and only after the pathogen has been correctly identified. This chapter provides an overview of different weather-based disease models developed for assessing the real-time risk of epidemic development of the major fungal diseases (Septoria leaf blotch, leaf rusts and Fusarium head blight) of winter wheat in Luxembourg.


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Item Type: Book Chapter (Commonwealth Reporting Category B)
Refereed: Yes
Item Status: Live Archive
Faculty/School / Institute/Centre: Current - Institute for Life Sciences and the Environment - Centre for Applied Climate Sciences (1 Aug 2018 -)
Faculty/School / Institute/Centre: Current - Institute for Life Sciences and the Environment - Centre for Applied Climate Sciences (1 Aug 2018 -)
Date Deposited: 10 Aug 2020 00:26
Last Modified: 30 Nov 2020 05:29
Uncontrolled Keywords: mechanistic model, stochastic model, integrated pest management
Fields of Research (2008): 07 Agricultural and Veterinary Sciences > 0703 Crop and Pasture Production > 070308 Crop and Pasture Protection (Pests, Diseases and Weeds)
Fields of Research (2020): 30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES > 3004 Crop and pasture production > 300409 Crop and pasture protection (incl. pests, diseases and weeds)
Identification Number or DOI: https://doi.org/10.5772/intechopen.75983
URI: http://eprints.usq.edu.au/id/eprint/36690

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