Improving fungal disease forecasts in winter wheat: a critical role of intra-day variations of meteorological conditions in the development of Septoria leaf blotch

El Jarroudi, Moussa and Kouadio, Louis and El Jarroudi, Mustapha and Junk, Jurgen and Bock, Clive and Diouf, Abdoul Aziz and Delfosse, Philippe (2017) Improving fungal disease forecasts in winter wheat: a critical role of intra-day variations of meteorological conditions in the development of Septoria leaf blotch. Field Crops Research, 213. pp. 12-20. ISSN 0378-4290

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Meteorological conditions are important factors in the development of fungal diseases in winter wheat and are the main inputs of the decision support systems used to forecast disease and thus determine timing for efficacious fungicide application. This study uses the Fourier transform method (FTM) to characterize temporal patterns of meteorological conditions between two neighbouring experimental sites used in a regional fungal disease monitoring and forecasting experiment in Luxembourg. Three meteorological variables (air temperature, relative humidity, and precipitation) were included, all conducive to infection of wheat by Zymoseptoria tritici cause of Septoria leaf blotch (STB) in winter wheat, from 2006 to 2009. The intraday, diurnal, dekadal and intra-seasonal variations of the meteorological variables were assessed using FTM, and the impact of existing contrasts between sites on the development of STB was analyzed. Although STB severities varied between sites and years (P ≤ 0.0003), the results indicated that the two sites presented the same patterns of meteorological conditions when compared at larger temporal scales (diurnal to intra-seasonal scales, with time periods >11 h). However, the intraday variations of all the variables were well discriminated between the sites and were highly correlated to STB severities. Our findings highlight and confirm the importance of intraday meteorological variation in the development of STB in winter wheat fields. Furthermore, the FTM approach has potential for identifying microclimatic conditions prevailing at given sites and could help in improving the prediction of disease forecast models used in regional warning systems.

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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Faculty/School / Institute/Centre: Historic - Institute for Agriculture and the Environment
Date Deposited: 18 Dec 2017 05:26
Last Modified: 22 Aug 2019 06:17
Uncontrolled Keywords: Temporal variability; Fourier transform method; Disease monitoring; Septoria leaf blotch; Weather
Fields of Research : 04 Earth Sciences > 0401 Atmospheric Sciences > 040107 Meteorology
07 Agricultural and Veterinary Sciences > 0703 Crop and Pasture Production > 070308 Crop and Pasture Protection (Pests, Diseases and Weeds)
01 Mathematical Sciences > 0102 Applied Mathematics > 010299 Applied Mathematics not elsewhere classified
Identification Number or DOI: 10.1016/j.fcr.2017.07.012

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