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The Potential of Microorganisms for the Control of Grape Downy Mildew—A Review [PDF]

open access: yesJournal of Fungi (Basel, Switzerland)
Plasmopara viticola (Berk.et Curtis) Berl. Et de Toni is the pathogen that causes grape downy mildew, which is an airborne disease that severely affects grape yield and causes huge economic losses.
Zhan-Bin Sun, Qing Ren, Hanxu Pan
exaly   +8 more sources

Review of the Pathogenic Mechanism of Grape Downy Mildew (Plasmopara viticola) and Strategies for Its Control [PDF]

open access: yesMicroorganisms
Downy mildew is among the most destructive diseases affecting grape production worldwide. It severely restricts the advancement of the grape industry. The causative pathogen, Plasmopara viticola, is an obligate biotrophic oomycete.
Zhichao Zhang   +4 more
doaj   +4 more sources

Deep Learning Based Automatic Grape Downy Mildew Detection [PDF]

open access: yesFrontiers in Plant Science, 2022
Grape downy mildew (GDM) disease is a common plant leaf disease, and it causes serious damage to grape production, reducing yield and fruit quality. Traditional manual disease detection relies on farm experts and is often time-consuming. Computer vision technologies and artificial intelligence could provide automatic disease detection for real-time ...
Yongliang Qiao   +2 more
exaly   +5 more sources

Image Recognition of Grape Downy Mildew and Grape Powdery Mildew Based on Support Vector Machine [PDF]

open access: yesInternational Federation for Information Processing, 2012
In order to realize automatic disease diagnosis and provide related information for disease prediction and control timely and accurately, the identification and diagnosis of grape downy mildew and grape powdery mildew was conducted based on image recognition technologies.
Zhanhong Ma   +2 more
exaly   +4 more sources

Semi-Targeted Metabolomics to Validate Biomarkers of Grape Downy Mildew Infection Under Field Conditions [PDF]

open access: yesPlants, 2020
Grape downy mildew is a devastating disease worldwide and new molecular phenotyping tools are required to detect metabolic changes associated to plant disease symptoms. In this purpose, we used UPLC-DAD-MS-based semi-targeted metabolomics to screen downy
Magdalena Anna Malinowska   +2 more
exaly   +4 more sources

Investigation of powdery & downy mildew segregation in Bogazkere hybrids of Turkish wine grape [PDF]

open access: yesOENO One, 2023
Powdery mildew (Erysiphe necator syn. Uncinula necator) and downy mildew (Plasmapora viticola) are the most harmful diseases to grapevine production in Turkey.
Metehan Gunhan   +3 more
doaj   +4 more sources

Identification and Genetic Analysis of Downy Mildew Resistance in Intraspecific Hybrids of Vitis vinifera L. [PDF]

open access: yesPlants
Downy mildew caused by Plasmopara viticola is an important disease in grape production, particularly in the highly susceptible, widely cultivated Vitis vinifera L. Breeding for disease resistance is an effective solution, and V.
Xing Han   +6 more
doaj   +4 more sources

Forecasting severe grape downy mildew attacks using machine learning. [PDF]

open access: yesPLoS One, 2020
Grape downy mildew (GDM) is a major disease of grapevine that has an impact on both the yields of the vines and the quality of the harvested fruits. The disease is currently controlled by repetitive fungicide treatments throughout the season, especially in the Bordeaux vineyards where the average number of fungicide treatments against GDM was equal to ...
Chen M, Brun F, Raynal M, Makowski D.
europepmc   +8 more sources

Complete genome sequence data of Bacillus pumilus GLB197, an effective antagonist of grape downy mildew [PDF]

open access: yesData in Brief, 2020
Bacillus pumilus GLB197 isolated from grape leaves exhibited strong inhibitory activity against grape downy mildew. The whole genome of the strain was sequenced to gain new insights into its molecular mechanism underlying the biocontrol on phytopathogens.
Qingchao Zeng   +4 more
doaj   +2 more sources

Grading for grapevine downy mildew and feature extraction methods for predicting abaxial lesions from adaxial leaf images [PDF]

open access: yesFrontiers in Plant Science
Grading grapevine downy mildew severity is essential for the precise application of pesticides. Since typical symptoms appear on the abaxial (underside) surface of grape leaves, and lesion area proportion determines severity, it is necessary to analyze ...
Bohao Liu   +8 more
doaj   +2 more sources

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