Effect of bixafen on senescence and yield formation of wheat

Berdugo, Carlos A.; Steiner, Ulrike; Dehne, H. W.; Oerke, E. C.

doi:10.1016/j.pestbp.2012.07.010

Cited by 43 publications

(36 citation statements)

References 30 publications

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“…In addition to detecting plant diseases, several non‐invasive technologies and sensor methods have been developed to better study the effect of pathogens on plant physiological parameters (Mahlein et al ., ). Thermography, reflectance and fluorescence measurements are currently the most promising and frequently applied techniques for determining plant parameters (Chaerle & Van Der Straeten, ; Bock et al ., ; Berdugo et al ., ). These sensors and imaging techniques are excellent alternatives to destructive or visual methods to assess the effects of pathogens on plant physiology (Bock et al ., ).…”

Section: Introductionmentioning

confidence: 97%

Fusion of sensor data for the detection and differentiation of plant diseases in cucumber

et al. 2014

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The development of plant diseases is associated with biophysical and biochemical changes in host plants. Various sensor methods have been used and assessed as alternative diagnostic tools under greenhouse conditions. Changes in photosynthetic activity, spectral reflectance and transpiration rate of diseased leaves, inoculated with Cucumber mosaic virus (CMV), Cucumber green mottle mosaic virus (CGMMV), and the powdery mildew fungus Sphaerotheca fuliginea were assessed by the use of non-invasive sensors during disease development. Spatiotemporal changes in leaf temperature related to transpiration were visualized by digital infrared thermography. The maximum temperature difference within a leaf was an appropriate parameter to differentiate between healthy and diseased plants. The photosynthetic activity of healthy and diseased cucumber plants varied as measured by chlorophyll fluorescence and compared to the actual chlorophyll content. Hyperspectral imaging data were analysed using spectral vegetation indices. The results from this study confirm that each pathogen has a characteristic influence on the physiology and vitality of cucumber plants, which can be measured by a combination of non-invasive sensors. Whereas thermography and chlorophyll fluorescence are unspecific indicators for plant diseases, hyperspectral imaging offers the potential for an identification of plant diseases. In a sensor data fusion approach, an early detection of each pathogen was possible by discriminant analysis. Although it still needs to be validated under real conditions, the combination of information from different sensors seems to be a promising tool.

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Section: Introductionmentioning

confidence: 97%

Fusion of sensor data for the detection and differentiation of plant diseases in cucumber

et al. 2014

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“…The factors affecting profitability include cultural practices, cultivar resistance, other pest damage, key fungicide-related aspects (application timing and costs, effectiveness in controlling the diseases, type of fungicides), and the price of wheat (Ordish and Dufour, 1969;Carlson and Main, 1976). Plant physiological responses to fungicide exposure may also impact the profitability (Nason et al, 2007;Berdugo et al, 2012;Dias, 2012). Furthermore, fungicides might affect naturally occurring microflora (especially yeasts) on the phylloplane which might provide protection against pathogens, thus increasing the susceptibility of the plant to the pathogens (Bashi and Fokkema, 1977;Magan and Lacey, 1986;Mukerji et al, 1999;Rodgers-Gray and Shaw, 2001;Wachowska, 2005).…”

Section: Discussionmentioning

confidence: 99%

Economics of a decision–support system for managing the main fungal diseases of winter wheat in the Grand-Duchy of Luxembourg

Jarroudi

Kouadio

Beyer³

et al. 2015

Field Crops Research

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a b s t r a c tWe evaluated the cost effectiveness of a decision-support system (DSS) developed for assessing in real time the risk of progression of the main fungal diseases (i.e., Septoria leaf blotch, powdery mildew, leaf rusts and Fusarium head blight) of winter wheat in the Grand-Duchy of Luxembourg (GDL). The study was conducted in replicated field experiments located in four agricultural locations (representative of the main agro-ecological regions of the country) over a 10-year period (2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012). Three fungicide spray strategies were compared: a single DSS-based system and two commonly used spray practices in the GDL, a double-(2T) and a triple-spray (3T) treatment; there was also a non-treated control. In years with a high disease pressure, the DSS-based recommendation resulted in protection of the three upper leaves comparable to that achieved with the 2T and 3T treatments, with significant grain yield increases (P > 0.05) compared to the control (a 4 to 42% increase, depending on the site and year). Overall, the financial gain in treated plots compared with the control ranged from 3 to 16% at the study sites. Furthermore, in seasons when dry weather conditions precluded epidemic development, the DSS recommended no fungicide spray, reducing use of fungicide, and thus saving the cost of the product. The gain in yield for the 2T and 3T plots (compared with control) did not necessarily result in a financial gain during the duration of the experiment. This study demonstrates the potential advantages and profitability of using a DSS-based approach for disease management.

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“…Certain fungicides classes could prolong canopy greenness through physiological effects, such as promoting the growth hormone cytokinin and delaying the inhibitor ethylene (Grossmann and Retzlaff, 1997). As far as the physiological effect of prothioconazole is concerned, in an experiment conducted under disease free-conditions in a greenhouse, Berdugo et al (2012) reported beneficial effects on leaf physiology in wheat plants. The senescence process, due to disease foliar development, is closely related to the breakdown of the chlorophyll and chloroplasts, which result in a decline in photosynthetic activity (Lingrui et al, 2007).…”

Section: Discussionmentioning

confidence: 99%

Enhancing grain yield and quality of winter barley through agronomic strategies to prolong canopy greenness

Marinaccio¹,

Reyneri²,

Blandino³

2015

Field Crops Research

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Effect of bixafen on senescence and yield formation of wheat

Cited by 43 publications

References 30 publications

Fusion of sensor data for the detection and differentiation of plant diseases in cucumber

Fusion of sensor data for the detection and differentiation of plant diseases in cucumber

Economics of a decision–support system for managing the main fungal diseases of winter wheat in the Grand-Duchy of Luxembourg

Enhancing grain yield and quality of winter barley through agronomic strategies to prolong canopy greenness

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