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Detection of Grapevine Leafroll-Associated Virus 1 and 3 in White and Red Grapevine Cultivars Using Hyperspectral Imaging

GND
1173369597
Affiliation
Julius Kühn-Institute (JKI), Institute for Grapevine Breeding, Germany ; University of Hohenheim, Institute of Phytomedicine, Germany
Bendel, Nele;
GND
1059151588
Affiliation
Julius Kühn-Institute (JKI), Institute for Grapevine Breeding, Germany
Kicherer, Anna;
Affiliation
Fraunhofer Institute for Factory Operation and Automation (IFF), Biosystems Engineering, Germany
Backhaus, Andreas;
GND
1178352366
Affiliation
Julius Kühn-Institute (JKI), Institute for Grapevine Breeding, Germany ; Julius Kühn-Institute (JKI), Institute for Plant Protection in Fruit Crops and Viticulture, Germany
Köckerling, Janine;
GND
1059140373
Affiliation
Julius Kühn-Institute (JKI), Institute for Plant Protection in Fruit Crops and Viticulture, Germany
Maixner, Michael;
Affiliation
Hochschule Geisenheim University, Institute of Grapevine Breeding, Germany
Bleser, Elvira;
Affiliation
Fraunhofer Institute for Factory Operation and Automation (IFF), Biosystems Engineering, Germany
Klück, Hans-Christian;
Affiliation
Fraunhofer Institute for Factory Operation and Automation (IFF), Biosystems Engineering, Germany
Seiert, Udo;
Affiliation
University of Hohenheim, Institute of Phytomedicine, Germany
Voegele, Ralf T.;
GND
1059151928
Affiliation
Julius Kühn-Institute (JKI), Institute for Grapevine Breeding, Germany
Töpfer, Reinhard

Grapevine leafroll disease (GLD) is considered one of the most widespread grapevine virus diseases, causing severe economic losses worldwide. To date, six grapevine leafroll-associated viruses (GLRaVs) are known as causal agents of the disease, of which GLRaV-1 and -3 induce the strongest symptoms. Due to the lack of ecient curative treatments in the vineyard, identification of infected plants and subsequent uprooting is crucial to reduce the spread of this disease. Ground-based hyperspectral imaging (400–2500 nm) was used in this study in order to identify white and red grapevine plants infected with GLRaV-1 or -3. Disease detection models have been successfully developed for greenhouse plants discriminating symptomatic, asymptomatic, and healthy plants. Furthermore, field tests conducted over three consecutive years showed high detection rates for symptomatic white and red cultivars, respectively. The most important detection wavelengths were used to simulate a multispectral system that achieved classification accuracies comparable to the hyperspectral approach. Although dierentiation of asymptomatic and healthy field-grown grapevines showed promising results further investigations are needed to improve classification accuracy. Symptoms caused by GLRaV-1 and -3 could be dierentiated.

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