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The Potential of Microorganisms for the Control of Grape Downy Mildew—A Review
Journal 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.
Zhanbin Sun +2 more
exaly +6 more sources
Image Recognition of Grape Downy Mildew and Grape Powdery Mildew Based on Support Vector Machine [PDF]
International 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, Haiguang Wang
exaly +4 more sources
Influence on grape aromatic compounds of natural fungicides used for the control of downy mildew [PDF]
Journal of the Science of Food and Agriculture, 2022 AbstractBACKGROUNDThe grape volatile fraction determines to a great extent its aroma, which is one of the most important characteristics influencing wine quality and consumer preferences. Grapevine downy mildew (GDM) is one of the most important and devastating diseases of grapevines worldwide.
Teresa Garde-Cerdán +2 more
exaly +7 more sources
Investigation of powdery & downy mildew segregation in Bogazkere hybrids of Turkish wine grape [PDF]
OENO 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 +2 more sources
Deep Learning Based Automatic Grape Downy Mildew Detection
Frontiers 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 ...
Guo Yangyang +2 more
exaly +4 more sources
Identification of long non-coding RNAs in response to downy mildew stress in grape [PDF]
Fruit Research, 2022 The importance of long non-coding RNA in plants has been reported more frequently in recent years, but there has been few specific reports on lncRNAs in grape, especially in terms of disease resistance. We performed RNA-seq on grape leaves of two species
Meijie Li +5 more
doaj +2 more sources
Plants, 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 +3 more sources
International Journal of Fruit Science, 2022 Grape downy mildew is a major grape disease that typically occurs when grape leaves are subjected to high temperature. In this study, downy mildew incidence in ‘Red Globe’ grape was investigated.
Haibo Yang +6 more
doaj +1 more source
Timing of Grape Downy Mildew Onset in Bordeaux Vineyards [PDF]
Phytopathology®, 2019 Grapevine downy mildew (GDM) is a severe disease of grapevines. Because of the lack of reliable information about the dates of GDM symptom onset, many vine growers begin fungicide treatments early in the season. We evaluate the extent to which such preventive treatments are justified.
Chen, Mathilde +3 more
openaire +4 more sources
Evaluation of a Disease Warning System for Downy Mildew of Grapes [PDF]
Plant Disease, 2000 An electronic warning system for grape downy mildew— based on models for the infection of leaves of Vitis lambrusca, production of sporangia by Plasmopara viticola in lesions, and sporangial survival—was tested over 7 years in Ohio. Grapevines were sprayed with metalaxyl plus mancozeb (Ridomil MZ58) when the warning system indicated that environmental
L V, Madden +4 more
openaire +2 more sources