Evidence map›Paper›PMID 42795642›Full record

ArticleMicroorganisms2026

Characterization and Chemical Management of

Yun Xing, Houya Fang, Yijia Deng, Changsheng Lu, Taorui Wu, Ting Wei, Shilong Chen, Hongna Wang, Zhiwen Wang, Xili Liu

Abstract read
In one paragraph

Article in Microorganisms, 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
–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

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

10 authors.

Yun XingSanya Institute, China Agricultural University, Sanya 572000, China.
Houya FangSanya Institute, China Agricultural University, Sanya 572000, China.
Yijia DengSanya Institute, China Agricultural University, Sanya 572000, China.
Changsheng LuSanya Institute, China Agricultural University, Sanya 572000, China.
Taorui WuSanya Institute, China Agricultural University, Sanya 572000, China.
Ting WeiSanya Institute, China Agricultural University, Sanya 572000, China.
Shilong ChenSanya Institute, China Agricultural University, Sanya 572000, China.
Hongna WangSanya Institute, China Agricultural University, Sanya 572000, China.
Zhiwen WangSanya Institute, China Agricultural University, Sanya 572000, China.ORCID 0000-0002-3074-7231
Xili LiuState Key Laboratory of Agricultural and Forestry Biosecurity, Ministry of Agriculture and Rural Affairs (MARA), Key Laboratory of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University, Beijing 100193, China.ORCID 0000-0002-7859-9741

Funding

Education Department of Hainan Province and Sanya Yazhou Bay Science and Technology City Administration HSPHDSRF-2024-05-008Education Department of Hainan Province and Sanya Yazhou Bay Science and Technology City Administration Hyb2025-215Hainan Provincial Natural Science Foundation of China 325MS103the Administrative Bureau of Sanya Yazhou Bay Science&Technology City SYND-QDJF-03the Project of Sanya Yazhou Bay Science and Technology City SKJC-JYRC-2025-57
6 · The paper itself

Abstract

Durian cultivation has become a key development industry in China in recent years, and durian root rot (DRR) constitutes a major threat to production. In this study, symptomatic root and stem base tissues and leaves were systematically collected from the main durian-producing regions of China, yielding 202 fungal and oomycete isolates. Isolates were identified based on morphological characterization and multi-locus phylogenetic analysis.

Indexed as

co-inoculationfungicide sensitivityoomycetesoilborne diseasesynergistic mixture

Identifiers

PMID42795642
PMCPMC13609522

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.