Evidence map›Paper›PMID 33690684›Full record

ArticlePloS one2021

Ecology of Diaporthe eres, the causal agent of hazelnut defects.

Roberta Arciuolo, Marco Camardo Leggieri, Giorgio Chiusa, Giuseppe Castello, Giuseppe Genova, Nicola Spigolon, Paola Battilani

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Biology and epidemiology ofFrontiers in plant science · 2025
    Article
  4. Article
  5. EndophyticMicroorganisms · 2022
    Review
  6. Rotten Hazelnuts PredictionFrontiers in plant science · 2022
    Article
  7. Article
  8. Frontiers in cellular and infection microbiology · 2021
    Article
  9. 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

7 authors.

Roberta ArciuoloDepartment of Sustainable Crop Production, Università Cattolica del Sacro Cuore, Piacenza (PC), Italy.
Marco Camardo LeggieriDepartment of Sustainable Crop Production, Università Cattolica del Sacro Cuore, Piacenza (PC), Italy.
Giorgio ChiusaDepartment of Sustainable Crop Production, Università Cattolica del Sacro Cuore, Piacenza (PC), Italy.
Giuseppe CastelloSOREMARTEC ITALIA S.r.l., Piazzale Pietro Ferrero 1, Alba (CN), Italy.
Giuseppe GenovaSOREMARTEC ITALIA S.r.l., Piazzale Pietro Ferrero 1, Alba (CN), Italy.
Nicola SpigolonSOREMARTEC ITALIA S.r.l., Piazzale Pietro Ferrero 1, Alba (CN), Italy.
Paola BattilaniDepartment of Sustainable Crop Production, Università Cattolica del Sacro Cuore, Piacenza (PC), Italy.ORCID 0000-0003-1287-1711

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diaporthe eres has been recently reported as the causal agent of hazelnut defects, with characteristic brown spots on the kernels surface and internal fruit discoloration. Knowledge regarding the ecology of this fungus is poor but, is critical to support a rationale and effective hazelnut crop protection strategy. Therefore, a study was performed to describe and model the effect of different abiotic factors such as temperature (T, 5-35°C, step 5°C) and water activity (aw 0.83-0.99, step 0.03) regimes on D. eres mycelial growth, pycnidial conidiomata development and asexual spore production during a 60-day incubation period. Alpha conidia germination was tested in the same T range and at different relative humidities (RH = 94, 97 and 100%) over 48 h incubation period. Fungal growth was observed from the first visual observation; regarding pycnidia and cirrhi, their development started after 8 and 19 days of incubation, respectively and increased over time. The optimum T for growth was 20-25°C and for pycnidia and cirrhi development was 30°C; aw ≥ 0.98 was optimal for the tested steps of the fungal cycle. The best condition for conidial germination of D. eres was at 25°C with RH = 100%. Quantitative data obtained were fitted using non- linear regression functions (Bete, logistic and polynomial), which provided a very good fit of the biological process (R2 = 0.793-0.987). These functions could be the basis for the development of a predictive model for the infection of D. eres of hazelnuts.

Indexed as

AlgorithmsAscomycotaCorylusFruitHost-Pathogen InteractionsModels, BiologicalMyceliumSpores, FungalTemperatureWaterWater

Identifiers

PMID33690684
PMCPMC7946276

What OpenQuestion holds

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LicenceCC BY
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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.