Spatial heterogeneity and temporal variability in the incidence of sugar beet diseases
Cercospora beticola, Erysiphe betae, Ramularia beticola, Uromyces betae, spectral signature, epidemiology, quantification
Leaf pathogens cause economically important fungal diseases in sugar beet production. By utilizing hyperspectral imaging techniques and infrared thermography, the spatial and temporal distribution of the leaf pathogens Cercospora beticola (Sacc), Erysiphe betae (Vanha) Weltzien, Ramularia beticola Fautrey u. Lambotte and Uromyces betae (Persoon) Léveillé will be assessed. The typical spectral signature of each disease will be investigated on leaf, plant and canopy level in greenhouse experiments and in the field. The sensitivity of these non invasive methods will be investigated. In addition to the hyperspectral techniques the disease development will be analysed by using microscopic techniques like fluorescence, laser and electron microscopy. The quantification of disease intensity with optical sensors will be compared to microbiological techniques such as real time PCR.
The aim of the Project is to describe the plant pathogene interaction in detail to transfer knowledge from the lab to the field level. In cooperation with other projects the incidence and dynamics of diseases will be correlated to the spatial distribution of inoculum sources as well as to heterogeneity in soil properties and microclimate within the crop canopy. At present only few information is available about spatial and temporal characteristics of leaf diseases for a site specific fungicide application in sugar beets. With data from this project and existing knowledge about their epidemiology the spatial distribution of major sugar beet diseases will be visualized in GIS layers and a temporally adapted and spatially defined sensor based fungicide application might be feasible.
Prof. Dr. Heinz-Wilhelm Dehne
PD Dr. Erich-Christian Oerke (supervisor)
PD Dr. Ulrike Steiner-Stenzel (supervisor)
Dipl.-Ing.agr. Anne-Katrin Mahlein
Mahlein, A-K., Steiner, U., Dehne, H-W., Oerke, E-C. (2008): Berührungslose Erfassung des Befalls und des Verlaufs von Sprosskrankheiten an Zuckerrüben. Mitteilungen aus dem Julius Kühn-Institut 417, S.417
Mahlein, A-K., Oerke, E-C., Steiner, U. (2008):Einfluss von Iprovalicarb auf Wachstum und Morphologie verschiedener Phytophthora- und Pythium-Arten. Mitteilungen aus dem Julius Kühn-Institut 417, S.460-461
Hillnhütter, C. & Mahlein, A-K. (2008): Neue Ansätze zur frühzeitigen Erkennung und Lokalisierung von Zuckerrübenkrankheiten. Gesunde Pflanze 60 (4), S. 143-149
Mahlein, A-K., Steiner, U., Dehne, H-W., Oerke, E-C. (2009): Spectral signatures of diseased sugar beets leaves. Proceedings of the 7th European Conference on Precision Agriculture, 06.-08. July 2009, Wageningen, Netherlands, 239-246.
Mahlein, A-K., Hillnhütter, C., Mewes, T., Scholz, C., Steiner, U., Dehne, H-W., Oerke, E-C. (2009): Disease detection in sugar beet fields: a multi-temporal and multi-sensoral approach on different scales. Proceedings of the SPIE Europe Conference on Remote Sensing, 31.August 2009 - 3.September 2009, Berlin, Germany
Rumpf, T., Mahlein, A-K., Dörschlag, D., Plümer, L. (2009): Identification of combined vegetation indices for the early detection of plant dieases.Proceedings of the SPIE Europe Conference on Remote Sensing, 31.August 2009 - 3.September 2009, Berlin, Germany
Rumpf, T., Mahlein, A-K., Römer, C., Plümer, L. (2010): Optimal wavelengths for an early identification of Cercospora beticola with Support Vector Machines based on hyperspectral reflection data In: IEEE (Hg.): 2010 IEEE International Geoscience and Remote Sensing Symposium. 2010.
Mahlein, A-K., Steiner, U., Dehne, H-W., Oerke, E-C. (2010):Spectral signatures of sugar beet leaves for the detection and differentiation of diseases. Precision Agriculture 11 (4), 413-431
Hillnhütter, C., Mahlein, A-K., Sikora, R.A., Oerke, E-C. (2010): Hyperspectral imaging of sugar beet symptoms caused by soil-borne organisms. Proceedings of the 10th international Conference on Precision Agriculture, 18.-21. July 2010, Denver Colorado, USA
Rumpf, T., Mahlein, A-K., Steiner, u., Oerke, E-C., Dehne, H-W., Plümer, L. (2010): Early detection and classification of plant diseases with Support Vector Machines based on hyperspectral reflectance. Computers and Electronics in Agriculture 74 (1), 91-99
Participation at the second Hyper-I-Net summerschool 15.09-19.09.2008, Wageningen, Netherlands
Poster presentation at the 56. Deutsche Pflanzenschutztagung 22.09-25.09.2008, University Kiel, Germany
'Berührungslose Erfassung des Verlaufs und Befalls von Sprosskrankheiten an Zuckerrüben'
Poster presentation at the 56. Deutsche Pflanzenschutztagung 22.09-25.09.2008, University Kiel, Germany
'Einfluss von Iprovalicarb auf Wachstum und Morphologie verschiedener Phytophthora- und Pythium- Arten'
Oral presentation at the DPG Arbeitskreistagung Mykologie 26.03-27.03.2009, Kaiserslautern, Germany
'Vegetationsindizes als Tool zur Erfassung der Befallsstärke von Blattkrankheiten an Zuckerrüben'
Poster presentation at the 33. International Symposium on Remote Sensing of Environment 04.05-08.05.2009, Stresa, Italy
'Hyperspectral Discrimination of Sugar Beet Diseases'
Oral presentation at the 7th European Conference on Precision Agriculture, 06.-08. July 2009, Wageningen, Netherlands
'Spectral signtures of diseased sugar beet leaves'
Poster presentation at the SPIE Europe on Remote Sensing, 31.08-3.2009, Berlin, Germany
'Disease detection in sugar beet fields: a multi-temporal and multi-sensoral approach on different scales'
Oral presentation at the DPG Arbeitskreistagung Mykologie 25.03-26.03.2010, Konstanz, Germany
'Erfassung spektraler Signaturen von Cercospora-Blattflecken an der Zuckerrübe mittels hyperspektraler Imaging-Verfahren'
Poster presentation at the 16th Reinhardsbrunn Symposium, 25.-29. April, Friedrichroda, Germany
'Effects of Iprovalicarb on the Development and Morphology of various Phytophthora and Phytium species'
Poster presentation at the IEE International Geoscience and Remote Sensing Symposium, 25.-30. July, Honolulu, Hawaii, USA
'Optimal wavelength for an early identification of Cercospora beticola with Support Vector Machines based on hyperspectral reflection data'
Poster presentation at the 57. Deutsche Pflanzenschutztagung., 6.-9. September 2010, Berlin, Germany
'Spektrale Vegetationsindizes zur Abbildung des Befallsverlauf und der Befallsstärke von Blattkrankheiten der zuckerrübe'
Oral presentation at the 57. Deutsche Pflanzenschutztagung., 6.-9. September 2010, Berlin, Germany
'Hyperspektrale Bildanalyse zur Erfassung von Blattkrankheiten der Zuckerrübe'
Poster Presentation at the 3. Conference on Precision Crop Protection, 19.-21. September, Bonn, Germany
'Multi-sensoral detection of physiological changes in cucumber leaves during pathogenesis of CMV, CGMMV, and powdery mildew'
'Mapping spatial variability of soil organic carbon on the field scale via airborne hyperspectral images'
'Multitemporal and multisensoral investigations of canopy symptoms in sugar beet fields caused by Heterodera schachtii and Rhizoctonia solani'
'Analysis of (hyper-)spectral signatures'
Oral Presentation at the 3. Conference on Precision Crop Protection, 19.-21. September, Bonn, Germany
'Hyperspectral imaging and image analysis for the detection of sugar beet diseases'
