Identification of Fusarium species as putative mycoparasites of Plasmopara viticola causing downy mildew in grapevines

Ghule, Mahesh R.; Sawant, Indu S.; Sawant, Sanjay D.; Sharma, Rohit; Shouche, Yogesh S.

doi:10.1007/s13314-018-0297-2

Cited by 8 publications

(3 citation statements)

References 20 publications

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“…Three diketopiperazines (DKPs), low molecular weight metabolites, extracted from A. alternata significantly reduced P. viticola sporulation in grapevine leaf disks and greenhouse plants; however, field testing is needed [125,126]. Five mycoparasitic fungi, Fusarium delphinoides, F. brachygibbosum, two strains of F. pseudonygamai, and an unidentified Fusarium species, were observed coiling around sporangiophores of P. viticola and inducing lysis and inhibiting sporangia production by more than 50% in the leaf disc assays [127,128]. Fusaric acid, a dominant metabolite of the five Fusarium strains, inhibited P. viticola sporangia production by more than 80% in leaf disc bioassays [129].…”

Section: Fungalmentioning

confidence: 99%

Traditional and Emerging Approaches for Disease Management of Plasmopara viticola, Causal Agent of Downy Mildew of Grape

Clippinger,

Dobry,

Laffan

et al. 2024

Agriculture

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The oomycete Plasmopara viticola, which causes downy mildew, is currently one of the most destructive pathogens affecting grape production. Although native to the eastern United States, P. viticola was introduced into Europe in the mid-to-late 1800s and is now found in virtually every grape-growing region of the world. Since its discovery, much effort has been made to understand the life cycle and infection process of the pathogen to develop more effective management practices. Widespread application of fungicides, especially those which have only one mode of action, has led to an increased occurrence of resistance to these treatments. Thus, with increased fungicide resistance and rising environmental concerns surrounding their use, traditional chemical management practices have begun to fall out of favor. Newer approaches, from targeted breeding utilizing quantitative trait loci to biological control agents, are continually being investigated and adapted to limit the damage caused by downy mildew. This review summarizes the current knowledge of the pathogen and methods of its control and explores potential avenues for future research focused on hypovirulence and biological control agents.

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Section: Fungalmentioning

confidence: 99%

Traditional and Emerging Approaches for Disease Management of Plasmopara viticola, Causal Agent of Downy Mildew of Grape

Clippinger,

Dobry,

Laffan

et al. 2024

Agriculture

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“…A coldtolerant mutant of F. proliferatum G6 (strain 1505) could grow at a lower temperature range providing improved biological control of downy mildew (Bakshi et al, 2001) in controlled conditions, probably due to the mutant's ability to produce higher quantities of extracellular β-glucosidase and endo-1,4-β-glucanase activity, which are implicated in mycoparasitism. Ghule and Sawant (2017) isolated different Fusarium species viz. Fusarium delphinoides, F. brachygibbosum, F. pseudonygamai and another unidentified Fusarium sp.…”

Section: Fungimentioning

confidence: 99%

Microbes in Management of Fungal Diseases of Grape

Sawant

2023

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In India, grapes are commercially cultivated in the state of Maharashtra and some districts of Karnataka and Tamil Nadu which are characterized by warm, humid and intermittently wet or cloudy weather. Viticulture practices and grape pathology in these tropical regions is vastly different from that in temperate regions, necessitating greater emphasis on microbial interventions for disease management. Three fungal diseases namely, downy mildew, powdery mildew and anthracnose are the major threat to sustainable viticulture and cause great economic loss to growers. The high susceptibility of commercial grape varieties, presence of abundant inoculum in vineyards, and favourable weather for most part of the year, have a cumulative effect and disease outbreaks occur in a very short span of time. Dependence on chemicals alone has led to increase in cost of cultivation, development of fungicide resistance in pathogens, and presence of fungicide residues at harvest; apart from environmental concerns on continued and high use of fungicides. The use of naturally occurring microbes for biological control of diseases and also for induction of systemic resistance in susceptible grape varieties against these diseases is a safer and sustainable option. Worldwide researchers are searching for efficient microbes for management of grape diseases in vineyards and postharvest and this article is a compilation of their work.

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“…Several resistant varieties were developed [6], but they are still not used for the production of most of the more profitable wines, due to appellation regimes' specifications. Many microorganisms and botanicals were tested as an alternative to synthetic chemical fungicides [7][8][9][10], but most of them have not yet been developed for commercial purposes [5], mainly because of their low and unsteady efficacy in the vineyards.…”

Section: Introductionmentioning

confidence: 99%

Forecasting severe grape downy mildew attacks using machine learning

Chen

Brun²,

Raynal³

et al. 2020

PLoS ONE

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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 10.1 in 2013. Reducing the number of treatments is a major issue from both an environmental and a public health point of view. One solution would be to identify vineyards that are likely to be heavily attacked in spring and then apply fungicidal treatments only to these situations. In this perspective, we use here a dataset including 9 years of GDM observations to develop and compare several generalized linear models and machine learning algorithms predicting the probability of high incidence and severity in the Bordeaux region. The algorithms tested use the date of disease onset and/or average monthly temperatures and precipitation as input variables. The accuracy of the tested models and algorithms is assessed by year-byyear cross validation. LASSO, random forest and gradient boosting algorithms show better performance than generalized linear models. The date of onset of the disease has a greater influence on the accuracy of forecasts than weather inputs and, among weather inputs, precipitation has a greater influence than temperature. The best performing algorithm was selected to evaluate the impact of contrasted climate scenarios on GDM risk levels. Results show that risk of GDM at bunch closure decreases with reduced rainfall and increased temperatures in April-May. Our results also show that the use of fungicide treatment decision rules that take into account local characteristics would reduce the number of treatments against GDM in the Bordeaux vineyards compared to current practices by at least 50%.

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Identification of Fusarium species as putative mycoparasites of Plasmopara viticola causing downy mildew in grapevines

Cited by 8 publications

References 20 publications

Traditional and Emerging Approaches for Disease Management of Plasmopara viticola, Causal Agent of Downy Mildew of Grape

Traditional and Emerging Approaches for Disease Management of Plasmopara viticola, Causal Agent of Downy Mildew of Grape

Microbes in Management of Fungal Diseases of Grape

Forecasting severe grape downy mildew attacks using machine learning

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