Literature DB >> 26293623

First detection of the presence of naturally occurring grapevine downy mildew in the field by a fluorescence-based method.

Gwendal Latouche1, Christian Debord, Marc Raynal, Charlotte Milhade, Zoran G Cerovic.   

Abstract

Early detection of fungal pathogen presence in the field would help to better time or avoid some of the fungicide treatments used to prevent crop production losses. We recently introduced a new phytoalexin-based method for a non-invasive detection of crop diseases using their fluorescence. The causal agent of grapevine downy mildew, Plasmopara viticola, induces the synthesis of stilbenoid phytoalexins by the host, Vitis vinifera, early upon infection. These stilbenoids emit violet-blue fluorescence under UV light. A hand-held solid-state UV-LED-based field fluorimeter, named Multiplex 330, was used to measure stilbenoid phytoalexins in a vineyard. It allowed us to non-destructively detect and monitor the naturally occurring downy mildew infections on leaves in the field.

Entities:  

Mesh:

Year:  2015        PMID: 26293623     DOI: 10.1039/c5pp00121h

Source DB:  PubMed          Journal:  Photochem Photobiol Sci        ISSN: 1474-905X            Impact factor:   3.982


  5 in total

1.  Multicolor Fluorescence Imaging as a Candidate for Disease Detection in Plant Phenotyping.

Authors:  María L Pérez-Bueno; Mónica Pineda; Francisco M Cabeza; Matilde Barón
Journal:  Front Plant Sci       Date:  2016-12-02       Impact factor: 5.753

2.  Phenoliner: A New Field Phenotyping Platform for Grapevine Research.

Authors:  Anna Kicherer; Katja Herzog; Nele Bendel; Hans-Christian Klück; Andreas Backhaus; Markus Wieland; Johann Christian Rose; Lasse Klingbeil; Thomas Läbe; Christian Hohl; Willi Petry; Heiner Kuhlmann; Udo Seiffert; Reinhard Töpfer
Journal:  Sensors (Basel)       Date:  2017-07-14       Impact factor: 3.576

3.  Detection of Bacterial Infection in Melon Plants by Classification Methods Based on Imaging Data.

Authors:  Mónica Pineda; María L Pérez-Bueno; Matilde Barón
Journal:  Front Plant Sci       Date:  2018-02-14       Impact factor: 5.753

4.  Spatial-Spectral Analysis of Hyperspectral Images Reveals Early Detection of Downy Mildew on Grapevine Leaves.

Authors:  Virginie Lacotte; Sergio Peignier; Marc Raynal; Isabelle Demeaux; François Delmotte; Pedro da Silva
Journal:  Int J Mol Sci       Date:  2022-09-02       Impact factor: 6.208

5.  Deep semantic segmentation for the quantification of grape foliar diseases in the vineyard.

Authors:  Ertai Liu; Kaitlin M Gold; David Combs; Lance Cadle-Davidson; Yu Jiang
Journal:  Front Plant Sci       Date:  2022-09-09       Impact factor: 6.627

  5 in total

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