Article (Scientific journals)
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; Kouadio, Amani Louis; El Jarroudi, Mustapha et al.
2017In Field Crops Research, 213, p. 12-20
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Keywords :
Temporal variability; Fourier transform method; Disease monitoring; Septoria leaf blotch; Weather
Abstract :
[en] 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.
Disciplines :
Agriculture & agronomy
Author, co-author :
El Jarroudi, Moussa  ;  Université de Liège > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > Eau, Environnement, Développement
Kouadio, Amani Louis 
El Jarroudi, Mustapha
Junk, Jürgen
Bock, Clive
Diouf, Abdoul Aziz ;  Université de Liège - ULiège > Doct. sc. (sc. & gest. env. - Bologne)
Delfosse, Philippe
Language :
English
Title :
Improving fungal disease forecasts in winter wheat: A critical role of intra-day variations of meteorological conditions in the development of Septoria leaf blotch
Publication date :
01 November 2017
Journal title :
Field Crops Research
ISSN :
0378-4290
Publisher :
Elsevier Science
Volume :
213
Pages :
12-20
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
ASTA - Administration des Services Techniques de l'Agriculture [LU]
Available on ORBi :
since 05 September 2017

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