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

Article

El Jarroudi, Moussa, Kouadio, Louis, El Jarroudi, Mustapha, Junk, Jurgen, Bock, Clive, 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. https://doi.org/10.1016/j.fcr.2017.07.012
Article 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

ERA Journal ID5309
Article CategoryArticle
AuthorsEl Jarroudi, Moussa (Author), Kouadio, Louis (Author), El Jarroudi, Mustapha (Author), Junk, Jurgen (Author), Bock, Clive (Author), Diouf, Abdoul Aziz (Author) and Delfosse, Philippe (Author)
Journal TitleField Crops Research
Journal Citation213, pp. 12-20
Number of Pages9
Year2017
PublisherElsevier
Place of PublicationNetherlands
ISSN0378-4290
1872-6852
Digital Object Identifier (DOI)https://doi.org/10.1016/j.fcr.2017.07.012
Web Address (URL)http://www.sciencedirect.com/science/article/pii/S0378429017307396
Abstract

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.

KeywordsTemporal variability; Fourier transform method; Disease monitoring; Septoria leaf blotch; Weather
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020370108. Meteorology
300409. Crop and pasture protection (incl. pests, diseases and weeds)
490199. Applied mathematics not elsewhere classified
Byline AffiliationsUniversity of Liege, Belgium
International Centre for Applied Climate Science
Abdelmalek Essaâdi University, Morocco
Luxembourg Institute of Science and Technology, Luxembourg
Department of Agriculture, United States
Institution of OriginUniversity of Southern Queensland
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Building capacity for assessing spatial-based sustainability metrics in agriculture
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Economics of a decision–support system for managing the main fungal diseases of winter wheat in the Grand-Duchy of Luxembourg
El Jarroudi, Moussa, Kouadio, Louis, Beyer, Marco, Junk, Jurgen, Hoffmann, Lucien, Tychon, Bernard, Maraite, Henri, Bock, Clive H. and Delfosse, Philippe. 2015. "Economics of a decision–support system for managing the main fungal diseases of winter wheat in the Grand-Duchy of Luxembourg." Field Crops Research. 172, pp. 32-41. https://doi.org/10.1016/j.fcr.2014.11.012
Disease Severity Estimates-Effects of Rater Accuracy and Assessment Methods for Comparing Treatments
Bock, C. H., El Jarroudi, M., Kouadio, L. A., Mackels, C., Chiang, K.-S. and Delfosse, P.. 2015. "Disease Severity Estimates-Effects of Rater Accuracy and Assessment Methods for Comparing Treatments." Plant Disease. 99 (8), pp. 1104-1112. https://doi.org/10.1094/PDIS-09-14-0925-RE
Assessing the Performance of MODIS NDVI and EVI for Seasonal Crop Yield Forecasting at the Ecodistrict Scale
Kouadio, Louis, Newlands, Nathaniel K., Davidson, Andrew, Zhang, Yinsuo and Chipanshi, Aston. 2014. "Assessing the Performance of MODIS NDVI and EVI for Seasonal Crop Yield Forecasting at the Ecodistrict Scale." Remote Sensing. 6 (10), pp. 10193-10214. https://doi.org/10.3390/rs61010193
Brown rust disease control in winter wheat: II. Exploring the optimization of fungicide sprays through a decision support system
El Jarroudi, Moussa, Kouadio, Louis, Giraud, Frederic, Delfosse, Philippe and Tychon, Bernard. 2014. "Brown rust disease control in winter wheat: II. Exploring the optimization of fungicide sprays through a decision support system." Environmental Science and Pollution Research. 21 (7), pp. 4809-4818. https://doi.org/10.1007/s11356-014-2557-9
Brown rust disease control in winter wheat: I. Exploring an approach for disease progression based on night weather conditions
El Jarroudi, Moussa, Kouadio, Louis, Delfosse, Philippe and Tychon, Bernard. 2014. "Brown rust disease control in winter wheat: I. Exploring an approach for disease progression based on night weather conditions." Environmental Science and Pollution Research. 21 (7), pp. 4797-4808. https://doi.org/10.1007/s11356-013-2463-6
An integrated, probabilistic model for improved seasonal forecasting of agricultural crop yield under environmental uncertainty
Newlands, Nathaniel K., Zamar, David S., Kouadio, Louis A., Zhang, Yinsuo, Chipanshi, Aston, Potgieter, Andries, Toure, Souleymane and Hill, Harvey S. J.. 2014. "An integrated, probabilistic model for improved seasonal forecasting of agricultural crop yield under environmental uncertainty." Frontiers in Environmental Science. 2, pp. 1-21. https://doi.org/10.3389/fenvs.2014.00017
A comparison of raters and disease assessment methods for estimating disease severity for purposes of hypothesis testing
Bock, Clive, El Jarroudi, Moussa, Kouadio, Louis, Mackels, Christophe, Chiang, Kuo-Szu and Delfosse, Philippe. 2014. "A comparison of raters and disease assessment methods for estimating disease severity for purposes of hypothesis testing." Phytopathology: International Journal of the American Phytopathological Society. 104 (11), pp. 15-16.
Importance of a well-distributed frequency of measurements in the senescence monitoring of winter wheat and yield estimates
Kouadio, Louis, Djaby, Bakary, El Jarroudi, Moussa and Tychon, Bernard. 2012. "Importance of a well-distributed frequency of measurements in the senescence monitoring of winter wheat and yield estimates." Journal of Agricultural Science and Technology . 2 (12), pp. 1203-1213.
Estimating winter wheat yield through the decreasing phase of its green area [Cinetique de decroissance de la surface verte et estimation du rendement du ble d'hiver]
Kouadio, Amani Louis, Djaby, Bakary, Duveiller, Gregory, El Jarroudi, Moussa and Tychon, Bernard. 2012. "Estimating winter wheat yield through the decreasing phase of its green area [Cinetique de decroissance de la surface verte et estimation du rendement du ble d'hiver]." Biotechnology, Agronomy, Society and Environment. 16 (2), pp. 179-191.
Typology of the main fungal diseases affecting winter wheat in the Grand Duchy of Luxembourg
El Jarroudi, Moussa, Kouadio, Louis, Delfosse, Philippe, Giraud, Frederic, Junk, Jurgen, Hoffmann, Lucien, Maraite, Henri and Tychon, Bernard. 2012. "Typology of the main fungal diseases affecting winter wheat in the Grand Duchy of Luxembourg." Journal of Agricultural Science and Technology . 2 (12), pp. 1386-1399.
Spatial distribution of calibrated WOFOST parameters and their influence on the performances of a regional yield forecasting system
Djaby, Bakary, de Wit, Allard, Kouadio, Louis, El Jarroudi, Moussa and Tychon, Bernard. 2013. "Spatial distribution of calibrated WOFOST parameters and their influence on the performances of a regional yield forecasting system." Sustainable Agriculture Research. 2 (4), pp. 12-29. https://doi.org/10.5539/sar.v2n4p12
Disease severity assessment in epidemiological studies: accuracy and reliability of visual estimates of Septoria leaf blotch (SLB) in winter wheat
El Jarroudi, Moussa, Kouadio, Louis, Mackels, Christophe, Tychon, Bernard, Delfosse, Philippe and Bock, Clive H.. 2014. "Disease severity assessment in epidemiological studies: accuracy and reliability of visual estimates of Septoria leaf blotch (SLB) in winter wheat." 2014 APS-CPS Joint Meeting. Minneapolis, United States of America 09 - 13 Aug 2014 United States. American Phytopathological Society. https://doi.org/10.1094/PHYTO-104-11-S3.1
Profitability of using warning system for foliar disease of wheat in the Grand-Duchy of Luxembourg
El Jarroudi, M., Kouadio, L., Beyer, M., Tychon, B. and Delfosse, P.. 2013. "Profitability of using warning system for foliar disease of wheat in the Grand-Duchy of Luxembourg." 2013 APS-MSA Joint Meeting. United States 10 - 14 Aug 2013 United States. American Phytopathological Society. https://doi.org/10.1094/PHYTO-103-6-S2.1