ORBi: El Jarroudi Moussa - New method for establishing a network of operational warning of Septoria leaf blotch disease in winter wheat

Reference : New method for establishing a network of operational warning of Septoria leaf blotch dis...


	Document type :	Scientific journals : Article
	Discipline(s) :	Life sciences : Agriculture & agronomy
	To cite this reference:	http://hdl.handle.net/2268/95944

Title :	New method for establishing a network of operational warning of Septoria leaf blotch disease in winter wheat
Language :	English
Author, co-author :	El Jarroudi, Moussa [Université de Liège - ULg > Département des sciences et gestion de l'environnement > Département des sciences et gestion de l'environnement >]
	Giraud, Frédéric [ > > ]
	Delfosse, Philippe [ > > ]
	Kouadio, Amani Louis [Université de Liège - ULg > > > Doct. sc. (sc. & gest. env. - Bologne)]
	Hoffmann, Lucien [ > > ]
	Maraite, Henri [ > > ]
	Tychon, Bernard [Université de Liège - ULg > Département des sciences et gestion de l'environnement > Département des sciences et gestion de l'environnement >]
Publication date :	Jun-2011
Journal title :	Phytopathology
Publisher :	American Phytopathological Society
Volume :	101
Pages :	S47
Peer reviewed :	Yes (verified by ORBi)
Audience :	International
ISSN :	0031-949X
Keywords :	[en] Winter wheat ; Septoria leaf blotch ; Operational warning
Abstract :	[en] A mechanistic model, PROCULTURE, based on commonly available meteorological data and assessing in real time the risk of progression of septoria leaf blotch disease on winter wheat has been developed in Belgium and the Grand-Duchy of Luxemburg (GDL) to limit fungicide use. However, the reliability of meteorological stations used for the warning system varies according to the distance to the fields. A weather analysis based on the Fourier transform highlighted a great difference in the intraday variation between two sites in the GDL (Everlange and Reuland). The correlation between these two sites is very high for the hourly temperature (R = 0.96), and for the hourly relative humidity (RH) (R = 0.86), (P < 0.05). However, the intraday variation (<11 hours) highlights contrasts for a given meteorological parameter. Hence, the correlation between temperature or RH decreased respectively from 0.96 to 0.43 and from 0.86 to 0.30. The comparison between infection conditions given by PROCULTURE using the Fourier transform, shows: (i) a positive but weak correlation between temperature at Reuland and Everlange (R = 0.64), (ii) a good correlation between RH for these two sites (R = 0.86), and (iii) a contrasted difference for rain (R = 0.27), (P < 0.05). This Fourier transform based method enables to take into account the RH and temperature variation related to topography levels in the warning system and to understand and explain the variation in disease expression between a plateau and a valley bottom or between North and South slopes.
Research units :	Centre de Recherches Publique Gabriel Lippmann
Target :	Researchers ; Professionals ; Students ; General public ; Others
Permalink :	http://hdl.handle.net/2268/95944

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