Reference : New method for establishing a network of operational warning of Septoria leaf blotch dis...
Scientific journals : Article
Life sciences : Agriculture & agronomy
http://hdl.handle.net/2268/95944
New method for establishing a network of operational warning of Septoria leaf blotch disease in winter wheat
English
El Jarroudi, Moussa mailto [Université de Liège - ULg > Département des sciences et gestion de l'environnement > Département des sciences et gestion de l'environnement >]
Giraud, Frédéric mailto [ > > ]
Delfosse, Philippe mailto [ > > ]
Kouadio, Amani Louis mailto [Université de Liège - ULg > > > Doct. sc. (sc. & gest. env. - Bologne)]
Hoffmann, Lucien mailto [ > > ]
Maraite, Henri mailto [ > > ]
Tychon, Bernard mailto [Université de Liège - ULg > Département des sciences et gestion de l'environnement > Département des sciences et gestion de l'environnement >]
Jun-2011
Phytopathology
American Phytopathological Society
101
S47
Yes (verified by ORBi)
International
0031-949X
[en] Winter wheat ; Septoria leaf blotch ; Operational warning
[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.
Centre de Recherches Publique Gabriel Lippmann
Researchers ; Professionals ; Students ; General public ; Others
http://hdl.handle.net/2268/95944

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