Evidence map›Paper›PMID 41922628›Full record

ArticleScientific reports2026

Identification, characterization, and fungicide response of fungal pathogens causing postharvest diseases of watermelon (Citrullus lanatus) in Northern Thailand.

Nakarin Suwannarach, Jaturong Kumla

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Nakarin SuwannarachOffice of Research Administration, Chiang Mai University, Chiang Mai, 50200, Thailand. suwan.462@gmail.com.
Jaturong KumlaOffice of Research Administration, Chiang Mai University, Chiang Mai, 50200, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Watermelon is an economically important crop widely cultivated in Thailand, but its postharvest quality is increasingly threatened by fungal diseases. Between 2024 and 2025, anthracnose and fruit rot symptoms were observed on postharvest watermelon fruits in Northern Thailand. This study aimed to isolate, identify, and confirm the pathogenicity of associated fungal pathogens. Fifteen fungal strains were recovered and identified using morphological characteristics combined with multi-locus phylogenetic analyses. Species of Colletotrichum were determined as causal agents of anthracnose, whereas members of Fusarium and Neocosmospora were associated with fruit rot. Pathogenicity tests confirmed their ability to cause disease, and all pathogens were successfully re-isolated, fulfilling Koch’s postulates. In the fungicide response tests, copper hydroxide inhibited all fungal species except C. truncatum and F. sulawesiense, demonstrating broad-spectrum activity. Colletotrichum truncatum was completely inhibited by benalaxyl-M (4%) + mancozeb (65%), cyproconazole, and difenoconazole, while F. sulawesiense was inhibited only by copper oxychloride. To our knowledge, this study provides the first global report of anthracnose caused by C. siamense and fruit rot caused by F. hainanense, F. sulawesiense, N. ferruginea, and N. suttoniana on watermelon. It is also the first report in Thailand of anthracnose caused by C. chlorophyti and C. truncatum and fruit rot caused by F. oxysporum. These findings enhance disease diagnosis and support the development of more effective postharvest disease management strategies in watermelon production systems.

Indexed as

CitrullusFungiFungicides, IndustrialPlant DiseasesBenomylColletotrichumCopperDioxolanesFruitFusariumManebPhylogenyThailandTriazolesZinebBenomylCoppercopper oxychloridedifenoconazoleDioxolanesFungicides, IndustrialmancozebManebTriazolesZinebCrop plantFungal diseaseFungicide responsePathogen identificationPostharvest disease

Identifiers

PMID41922628
PMCPMC13187496

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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.