A predictive model for early-warning of Septoria leaf blotch on winter wheat

2009 ◽  
Vol 124 (3) ◽  
pp. 413-425 ◽  
Author(s):  
D. E. te Beest ◽  
M. W. Shaw ◽  
S. Pietravalle ◽  
F. van den Bosch
Keyword(s):  
Winter Wheat ◽  
Predictive Model ◽  
Early Warning ◽  
Septoria Leaf Blotch ◽  
Leaf Blotch

scholarly journals Operational application and improvements of the disease risk forecast model PROCULTURE to optimize fungicides spray for the septoria leaf blotch disease in winter wheat in Luxembourg

2008 ◽  
Vol 2 (1) ◽  
pp. 57-60 ◽  
Author(s):  
J. Junk ◽  
K. Görgen ◽  
M. El Jarroudi ◽  
P. Delfosse ◽  
L. Pfister ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Disease Risk ◽  
Meteorological Data ◽  
Weather Prediction ◽  
Wrf Model ◽  
Leaf Wetness ◽  
Septoria Leaf Blotch ◽  
Leaf Blotch ◽  
Phenological Data ◽  
Spatial Coverage

Abstract. The model PROCULTURE has been developed by the Université Catholique de Louvain – UCL (Belgium) to simulate the progress of the septoria leaf blotch disease on winter wheat during the cropping season. The model has been validated in Luxembourg for four years at four distinct representative sites. It is able to identify infection periods due to the causal agent Mycosphaerella graminicola on the last five leaf layers by combining meteorological data with phenological data from PROCULTURE's crop growth model component. The meteorological forcing consists of hourly time-series of air temperature, relative humidity and cumulative rainfall since the time of sowing, retrieved from automatic weather stations for hindcast and numerical weather prediction model outputs for the forecast periods. In order to improve the model, leaf wetness – which is one of the most important drivers for the spread of the disease – shall be added as an additional predictor. Therefore leaf wetness sensors were set up at four test sites during the 2007 growing season. To get a continuous spatial coverage of the country, it is planned to couple the PROCULTURE model offline to 12-hourly operational weather forecasts from an implementation of the Weather Research and Forecasting (WRF) model for Luxembourg at 1 km resolution. Because the WRF model does not provide leaf wetness directly, an artificial neural network (ANN) is used to model this parameter.

scholarly journals Peculiarities of action and retrospective analysis of fungicides efficacy for protection of soft winter wheat against leaf diseases

2020 ◽  
Vol 103 (4) ◽  
pp. 224-232
Author(s):  
N. A. Krupenko* ◽  
I. N. Odintsova
Keyword(s):  
Powdery Mildew ◽  
Winter Wheat ◽  
Retrospective Analysis ◽  
Area Under The Curve ◽  
Disease Development ◽  
Septoria Leaf Blotch ◽  
Leaf Blotch ◽  
Biological Efficacy ◽  
Two Component ◽  
Soft Winter Wheat

The data on the efficacy of 40 fungicides for protection of soft winter wheat against leaf diseases during 2010–2019 are demonstrated. Biological efficacy is calculated based upon the area under the curve of disease development. Biological and economical efficacy of those compounds has been analyzed depending on the number of components, as well as chemical classes of active agents in those compounds. The highest biological efficacy of one-component fungicides against powdery mildew has been recorded for those containing proquinazid, tebuconazole and metrafenone – 69.9–79.3 %. Among 23 two-component fungicides the higher efficacy (82.1–84.3 %) against powdery mildew has been recorded for the fungicides containing azole combined with morpholine. Biological efficacy against Septoria leaf blotch has varied from 64.7 to 88.0 % depending on fungicide composition. Among three-component fungicides the efficacy against powdery mildew has varied from 59.5 to 82.8 %, and against Septoria leaf blotch it has varied from 59.8 to 89.9 %. As a result of the diseases severity decrease due to the fungicide application the saved yield has reached 9.9 centner of grain per hectare.

Effect of temperature on latent period of septoria leaf blotch on winter wheat under outdoor conditions

2004 ◽  
Vol 53 (2) ◽  
pp. 170-181 ◽  
Author(s):  
D. J. Lovell ◽  
T. Hunter ◽  
S. J. Powers ◽  
S. R. Parker ◽  
F. Van den Bosch
Keyword(s):  
Winter Wheat ◽  
Latent Period ◽  
Effect Of Temperature ◽  
Septoria Leaf Blotch ◽  
Leaf Blotch

scholarly journals Tolerance of septoria leaf blotch in winter wheat

2004 ◽  
Vol 53 (1) ◽  
pp. 1-10 ◽  
Author(s):  
S. R. Parker ◽  
S. Welham ◽  
N. D. Paveley ◽  
J. Foulkes ◽  
R. K. Scott
Keyword(s):  
Winter Wheat ◽  
Septoria Leaf Blotch ◽  
Leaf Blotch

scholarly journals Incidence and severity of Septoria leaf blotch in winter wheat in relation to reduced dosage of fungicides

2017 ◽  
Vol 38 (SI 2 - 6th Conf EFPP 2002) ◽  
pp. 652-655
Author(s):  
I. Gaurilčikienė
Keyword(s):  
Winter Wheat ◽  
Flag Leaf ◽  
Septoria Leaf Blotch ◽  
Leaf Blotch ◽  
Triazole Fungicides ◽  
Yield Increase ◽  
Highly Effective ◽  
Full Dosage

The trials were carried out over the period 1999–2000 with a view to testing the efficacy of reduced doses of triazole fungicides on winter wheat cv. Zentos. Septoria diseases (Septoria spp.) occurred on winter wheat annually. Full and reduced dosages of fungicides were highly effective against Septoria leaf blotch at an early milk stage, especially on flag leaf. Later the efficacy of reduced dosages of the fungicides was lower, than that of full doses. Due to full dosage of fungicides we obtained a sufficient yield increase annually. The yield increase through the use of 3⁄4 reduced doses was lower. But yield increase through reduced dosage to 1⁄2 was low and insufficient.

scholarly journals Assessing the Accuracy of Simulation Model for Septoria Leaf Blotch Disease Progress on Winter Wheat

Plant Disease ◽  
2009 ◽  
Vol 93 (10) ◽  
pp. 983-992 ◽  
Author(s):  
M. El Jarroudi ◽  
P. Delfosse ◽  
H. Maraite ◽  
L. Hoffmann ◽  
B. Tychon
Keyword(s):  
Winter Wheat ◽  
Disease Severity ◽  
Statistical Tests ◽  
Mechanistic Model ◽  
Probability Of Detection ◽  
Septoria Tritici ◽  
Septoria Leaf Blotch ◽  
Leaf Blotch ◽  
Disease Occurrence ◽  
The Difference

A mechanistic model, PROCULTURE, for assessing the development of each of the last five leaf layers and the progress of Septoria leaf blotch, caused by Septoria tritici (teleomorph Mycosphaerella graminicola), has been applied on susceptible and weakly susceptible winter wheat (Triticum aestivum) cultivars in two locations (Everlange and Reuland) in Luxembourg over a 3-year period (2000 to 2002). A double performance assessment of PROCULTURE was conducted in this study. First, the capability of PROCULTURE to correctly simulate S. tritici incidence was checked. Second, the model's ability to accurately estimate disease severity was assessed on the basis of the difference between simulated and observed levels of disease development at each leaf layer. The model accurately predicted disease occurrence in the 2000 and 2002 seasons, on susceptible and semi-susceptible cultivars, with a probability of detection (POD) exceeding 0.90. However, in 2001, even though the POD never fell below 0.90, the false alarm ratio (FAR) was too high to consider the simulations satisfactory. Concerning the evaluation of disease severity modeling, statistical tests revealed accurate simulations performed by PROCULTURE for susceptible cultivars in 2000 and 2002. By contrast, for weakly susceptible cultivars, the model overestimated disease severity, especially for the upper leaves, for the same period.

scholarly journals A comparison between visual estimates and image analysis measurements to determine septoria leaf blotch severity in winter wheat

2014 ◽  
Vol 64 (2) ◽  
pp. 355-364 ◽  
Author(s):  
M. El Jarroudi ◽  
A. L. Kouadio ◽  
C. Mackels ◽  
B. Tychon ◽  
P. Delfosse ◽  
...  
Keyword(s):  
Image Analysis ◽  
Winter Wheat ◽  
Septoria Leaf Blotch ◽  
Leaf Blotch
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