GiESCO 2019 banner
IVES 9 IVES Conference Series 9 GiESCO 9 Ozone treatment: a solution to improve sanitary and physiological quality of vine plant

Ozone treatment: a solution to improve sanitary and physiological quality of vine plant

Abstract

Context and purpose of the study – The vineyard world is faced to a lot of fungal diseases. Grapevine Trunk Diseases (GTD) are some of the major. After exhibiting chronical foliar symptoms, grapevines can die by apoplexy within only few days. A range species of fungi was described to be associated with the apparition of early symptoms of GTD. It is well known that ozone dissolved into water is a powerful disinfectant with no remanence. The main goal of this study was to test the efficiency of this process on different fungal species associated with GTD in vitro and in planta conditions.

Material and methods – In vitro sanitary tests: Eighteen strains of two different species associated with GTD were selected (Phaeomoniella chlamydospora and Phaeoacremonium minimum). Ozone dissolved into water (4.5 g.m-3 according the Henry’s law) or autoclaved demineralized water (control) were applied on spore suspensions from strains. Suspensions were then plated on agar medium. Germinating spores were observed after five days. In vivo sanitary tests:Cuttings of Vitis vinifera Cabernet-Sauvignon clone 15 were drilled until the vascular channels. In each injury, plants received 20 µL of spore suspension (105 spores.mL-1) of P. minimum. Immediately after inoculation, infected wounded damages were treated with 20 µL of ozone dissolved into water (4.5 g.m-3 according the Henry’s law). The fungal development was evaluated 4, 6 and 9 weeks after inoculation by q-PCR.

Results – In vitro sanitary tests: Solution of ozone dissolved into water presented a complete sporicide effect. Indeed, no spore germinated in ozonated treatments whereas water treated controls normally developed. In vivo sanitary tests:The anti-fungal abilities of ozone treatment were secondly assessed by quantification of P. minimum DNA in woody tissues (via qPCR). Four and six weeks after inoculation, ozone treatment strongly reduced the source of inoculum present in the injury, resulting in more of 50% decrease of the number of P. minimum copies per ng of total. After nine weeks, the quantity of DNA is more important in ozone modality than in control modality. These results suggest that ozone treatment slowed down the fungal colonization via its primary sporicide effect in cutting-wounding conditions. Finally, consequences on the physiological aspect of the plant after ozone treatment should be discussed during the congress thanks to some news results.

DOI:

Publication date: September 26, 2023

Issue: GiESCO 2019

Type: Poster

Authors

Ana ROMEO OLIVAN1,ǂ, Marielle PAGÈS1, 2,*,ǂ, Coralie BRETON1, Frédéric VIOLLEAU2,3 and Alban JACQUES1

1 PPGV, INP-PURPAN, F-31076 Toulouse, France
2 Plateforme TOAsT, Université de Toulouse, INP-PURPAN, Toulouse, France
3 Laboratoire de Chimie Agro-industrielle, LCA, Université de Toulouse, INRA, 31000 Toulouse, France
ǂ These authors contributed equally to this work

Contact the author

Keywords

grapevine, fungi, ozone, disinfection, growth

Tags

GiESCO | GiESCO 2019 | IVES Conference Series

Citation

Related articles…

Mining microbiome data to identify antagonists of grapevine downy mildew (Plasmopara viticola)

Vineyards are home to a myriad of microorganisms that interact with each other and with the vines. Some microorganisms are plant pathogens, such as the oomycete Plasmopara viticola, causing grapevine downy mildew. Others have a positive effect on vine health, such as disease biocontrol agents. These beneficial plant-microbe and microbe-microbe interactions have gained more attention in recent years because they could represent an alternative to the use of fungicides in viticulture.

Implications of the nature of organic mulches used in vineyards on grapevine water status, yield, berry quality and biological soil health  

Climate emergency is going to affect the agricultural suistainability, wine grapes being probably one of the crops more sensitive to environmental constraints. In this context, mitigation strategies such as the revalorization of agricultural wastes are paramount to cope with the current challenges. The use of organic mulches has been reported to reduce soil water evaporation and improve vine water status, reduce soil erosion, and increase soil organic matter with little impact on berry quality. However, less is known about their effects on the microbiote of vineyards.

Distribution analysis of myo and scyllo-inositol in natural grape must

s it is well known, myo and scyllo-inositol are two characteristic sugars of grape must and, for this reason, their quantification has been proposed to control the authenticity of the concentrated and rectificated grape must.

Measures to promote biodiversity in viticulture—how do socio-economic factors influence implementation?

Context and purpose. In Germany, vineyards are typically intensively managed monocultural systems shaped by low structural variability.

Prediction of sauvignon blanc quality gradings with static headspace−gas chromatography−ion mobility spectrometry (SHS−GC−IMS) and machine learning

The main goal of the current study is the development of a cost-effective and easy-to-use method suitable for use in the laboratory of commercial wineries to analyze wine aroma. Additionally, this study attempted to establish a prediction model for wine quality gradings based on their aroma, which could reveal the important aroma compounds that correlate well with different grades of perceived quality METHODS: Parameters of the SHS−GC−IMS instrument were first optimized to acquire the most desirable chromatographic resolution and signal intensities. Method stability was then exhibited by repeatability and reproducibility. Subsequently, compound identification was conducted. After method development, a total of 143 end-ferment wine samples of three different quality gradings from vintage 2020 were analyzed with the SHS−GC−IMS instrument. Six machine learning methods were employed to process the results and construct a quality prediction model. Techniques that aim to explain the model to extract useful insights were also applied.