Detection of Grapevine Leafroll-Associated Virus 1 and 3 in White and Red Grapevine Cultivars Using Hyperspectral Imaging
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<i> </i>(GLRaVs) are known as causal agents of the disease, of which GLRaV-1 and -3 induce the s...
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doaj-63abb711063e4d3e8475c97bb8bd6c5a2020-11-25T02:50:40ZengMDPI AGRemote Sensing2072-42922020-05-01121693169310.3390/rs12101693Detection of Grapevine Leafroll-Associated Virus 1 and 3 in White and Red Grapevine Cultivars Using Hyperspectral ImagingNele Bendel0Anna Kicherer1Andreas Backhaus2Janine Köckerling3Michael Maixner4Elvira Bleser5Hans-Christian Klück6Udo Seiffert7Ralf T. Voegele8Reinhard Töpfer9Julius Kühn-Institut, Federal Research Centre for Cultivated Plants, Institute for Grapevine Breeding Geilweilerhof, 76833 Siebeldingen, GermanyJulius Kühn-Institut, Federal Research Centre for Cultivated Plants, Institute for Grapevine Breeding Geilweilerhof, 76833 Siebeldingen, GermanyFraunhofer Institute for Factory Operation and Automation (IFF), Biosystems Engineering, Sandtorstr. 22, 39106 Magdeburg, GermanyJulius Kühn-Institut, Federal Research Centre for Cultivated Plants, Institute for Grapevine Breeding Geilweilerhof, 76833 Siebeldingen, GermanyJulius Kühn-Institut, Federal Research Centre for Cultivated Plants, Institute for Plant Protection in Fruit Crops and Viticulture, Geilweilerhof, 76833 Siebeldingen, GermanyHochschule Geisenheim University, Institute of Grapevine Breeding, Von-Lade-Straße 1, 65366 Geisenheim, GermanyFraunhofer Institute for Factory Operation and Automation (IFF), Biosystems Engineering, Sandtorstr. 22, 39106 Magdeburg, GermanyFraunhofer Institute for Factory Operation and Automation (IFF), Biosystems Engineering, Sandtorstr. 22, 39106 Magdeburg, GermanyUniversity of Hohenheim, Institute of Phytomedicine, Otto-Sander-Str. 5, 70599 Stuttgart, GermanyJulius Kühn-Institut, Federal Research Centre for Cultivated Plants, Institute for Grapevine Breeding Geilweilerhof, 76833 Siebeldingen, GermanyGrapevine 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<i> </i>(GLRaVs) are known as causal agents of the disease, of which GLRaV-1 and -3 induce the strongest symptoms. Due to the lack of efficient 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 differentiation 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 differentiated.https://www.mdpi.com/2072-4292/12/10/1693grapevine leafroll diseaseGLRaVVitis viniferadisease detectionplant phenotypingspectral imaging |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Nele Bendel Anna Kicherer Andreas Backhaus Janine Köckerling Michael Maixner Elvira Bleser Hans-Christian Klück Udo Seiffert Ralf T. Voegele Reinhard Töpfer |
spellingShingle |
Nele Bendel Anna Kicherer Andreas Backhaus Janine Köckerling Michael Maixner Elvira Bleser Hans-Christian Klück Udo Seiffert Ralf T. Voegele Reinhard Töpfer Detection of Grapevine Leafroll-Associated Virus 1 and 3 in White and Red Grapevine Cultivars Using Hyperspectral Imaging Remote Sensing grapevine leafroll disease GLRaV Vitis vinifera disease detection plant phenotyping spectral imaging |
author_facet |
Nele Bendel Anna Kicherer Andreas Backhaus Janine Köckerling Michael Maixner Elvira Bleser Hans-Christian Klück Udo Seiffert Ralf T. Voegele Reinhard Töpfer |
author_sort |
Nele Bendel |
title |
Detection of Grapevine Leafroll-Associated Virus 1 and 3 in White and Red Grapevine Cultivars Using Hyperspectral Imaging |
title_short |
Detection of Grapevine Leafroll-Associated Virus 1 and 3 in White and Red Grapevine Cultivars Using Hyperspectral Imaging |
title_full |
Detection of Grapevine Leafroll-Associated Virus 1 and 3 in White and Red Grapevine Cultivars Using Hyperspectral Imaging |
title_fullStr |
Detection of Grapevine Leafroll-Associated Virus 1 and 3 in White and Red Grapevine Cultivars Using Hyperspectral Imaging |
title_full_unstemmed |
Detection of Grapevine Leafroll-Associated Virus 1 and 3 in White and Red Grapevine Cultivars Using Hyperspectral Imaging |
title_sort |
detection of grapevine leafroll-associated virus 1 and 3 in white and red grapevine cultivars using hyperspectral imaging |
publisher |
MDPI AG |
series |
Remote Sensing |
issn |
2072-4292 |
publishDate |
2020-05-01 |
description |
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<i> </i>(GLRaVs) are known as causal agents of the disease, of which GLRaV-1 and -3 induce the strongest symptoms. Due to the lack of efficient 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 differentiation 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 differentiated. |
topic |
grapevine leafroll disease GLRaV Vitis vinifera disease detection plant phenotyping spectral imaging |
url |
https://www.mdpi.com/2072-4292/12/10/1693 |
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