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Disease Forecasting for the Rational Management of Grapevine Mildews in the Chianti Bio-District (Tuscany)

Downy and powdery mildews are major grapevine diseases. In organic viticulture, a few fungicides with protectant activities (copper and sulphur in particular) can be used, and their preventative application frequently leads to unneeded spraying. The adoption of an epidemiological disease forecasting...

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Autores principales: Maddalena, Giuliana, Marone Fassolo, Elena, Bianco, Piero Attilio, Toffolatti, Silvia Laura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9865324/
https://www.ncbi.nlm.nih.gov/pubmed/36678997
http://dx.doi.org/10.3390/plants12020285
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author Maddalena, Giuliana
Marone Fassolo, Elena
Bianco, Piero Attilio
Toffolatti, Silvia Laura
author_facet Maddalena, Giuliana
Marone Fassolo, Elena
Bianco, Piero Attilio
Toffolatti, Silvia Laura
author_sort Maddalena, Giuliana
collection PubMed
description Downy and powdery mildews are major grapevine diseases. In organic viticulture, a few fungicides with protectant activities (copper and sulphur in particular) can be used, and their preventative application frequently leads to unneeded spraying. The adoption of an epidemiological disease forecasting model could optimise the timing of treatments and achieve a good level of disease protection. In this study, the effectiveness of the EPI (Etat Potentiel d’Infection) model in predicting infection risk for downy and powdery mildews was evaluated in nine organic vineyards located in Panzano in Chianti (FI), over a 2-year period (2020–2021). The reliability of the EPI model was investigated by comparing the disease intensities, the number of fungicide sprayings, the quantities of the fungicides (kg/ha), and the costs of the treatment achieved, with or without the use of the model, in a vineyard. The results obtained over two seasons indicated that, in most cases, the use of the EPI model accurately signalled the infection risk and allowed for a reduction in the frequency and cost of spraying, particularly for powdery mildew control (−40% sprayings, −20% costs compared to the farmer’s schedule), without compromising crop protection. The use of the EPI model can, therefore, contribute to more-sustainable disease management in organic viticulture.
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spelling pubmed-98653242023-01-22 Disease Forecasting for the Rational Management of Grapevine Mildews in the Chianti Bio-District (Tuscany) Maddalena, Giuliana Marone Fassolo, Elena Bianco, Piero Attilio Toffolatti, Silvia Laura Plants (Basel) Article Downy and powdery mildews are major grapevine diseases. In organic viticulture, a few fungicides with protectant activities (copper and sulphur in particular) can be used, and their preventative application frequently leads to unneeded spraying. The adoption of an epidemiological disease forecasting model could optimise the timing of treatments and achieve a good level of disease protection. In this study, the effectiveness of the EPI (Etat Potentiel d’Infection) model in predicting infection risk for downy and powdery mildews was evaluated in nine organic vineyards located in Panzano in Chianti (FI), over a 2-year period (2020–2021). The reliability of the EPI model was investigated by comparing the disease intensities, the number of fungicide sprayings, the quantities of the fungicides (kg/ha), and the costs of the treatment achieved, with or without the use of the model, in a vineyard. The results obtained over two seasons indicated that, in most cases, the use of the EPI model accurately signalled the infection risk and allowed for a reduction in the frequency and cost of spraying, particularly for powdery mildew control (−40% sprayings, −20% costs compared to the farmer’s schedule), without compromising crop protection. The use of the EPI model can, therefore, contribute to more-sustainable disease management in organic viticulture. MDPI 2023-01-07 /pmc/articles/PMC9865324/ /pubmed/36678997 http://dx.doi.org/10.3390/plants12020285 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Maddalena, Giuliana
Marone Fassolo, Elena
Bianco, Piero Attilio
Toffolatti, Silvia Laura
Disease Forecasting for the Rational Management of Grapevine Mildews in the Chianti Bio-District (Tuscany)
title Disease Forecasting for the Rational Management of Grapevine Mildews in the Chianti Bio-District (Tuscany)
title_full Disease Forecasting for the Rational Management of Grapevine Mildews in the Chianti Bio-District (Tuscany)
title_fullStr Disease Forecasting for the Rational Management of Grapevine Mildews in the Chianti Bio-District (Tuscany)
title_full_unstemmed Disease Forecasting for the Rational Management of Grapevine Mildews in the Chianti Bio-District (Tuscany)
title_short Disease Forecasting for the Rational Management of Grapevine Mildews in the Chianti Bio-District (Tuscany)
title_sort disease forecasting for the rational management of grapevine mildews in the chianti bio-district (tuscany)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9865324/
https://www.ncbi.nlm.nih.gov/pubmed/36678997
http://dx.doi.org/10.3390/plants12020285
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