Evidence map›Paper›PMID 36678997›Full record

ArticlePlants (Basel, Switzerland)2023

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

Giuliana Maddalena, Elena Marone Fassolo, Piero Attilio Bianco, Silvia Laura Toffolatti

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Giuliana MaddalenaDepartment of Agricultural and Environmental Sciences (DISAA), University of Milan, Via Celoria 2, 20133 Milano, Italy.ORCID 0000-0003-0415-2581
Elena Marone FassoloDepartment of Agricultural and Environmental Sciences (DISAA), University of Milan, Via Celoria 2, 20133 Milano, Italy.ORCID 0000-0002-6646-898X
Piero Attilio BiancoDepartment of Agricultural and Environmental Sciences (DISAA), University of Milan, Via Celoria 2, 20133 Milano, Italy.ORCID 0000-0002-9541-1923
Silvia Laura ToffolattiDepartment of Agricultural and Environmental Sciences (DISAA), University of Milan, Via Celoria 2, 20133 Milano, Italy.ORCID 0000-0003-3572-8686

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

downy mildeworganic farmingorganic viticultureplant disease managementpowdery mildewsustainable viticulture

Identifiers

PMID36678997
PMCPMC9865324

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.