ArticleMicrobiology spectrum2023
Quantitative detection of the
Abstract read
In one paragraph
Article in Microbiology spectrum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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.
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.
Who cites it
4 citing papers in PubMed.
- Enhanced Early Detection and Precision Monitoring of Rubber Tree Powdery Mildew PathogenJournal of fungi (Basel, Switzerland) · 2026Article
- Soil-borne diseases in medicinal plants: linking allelopathy and host immunity to microbiome-based interventions.Frontiers in plant science · 2026Review
- Tracking Different States of Spiked Environmental DNA Using Multiplex Digital PCR Assays.Environmental microbiology · 2025Article
- Phenotypic and genetic characterization of a lipolytic Ralstonia mannitolilytica isolate from petroleum-contaminated soil in Iraq.Molecular biology reports · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Wei ChenMinistry of Agriculture and Rural Affairs Key Laboratory of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University , Haidian District, Beijing, China.ORCID 0000-0001-7086-7943
Jun-Wei ZhangMinistry of Agriculture and Rural Affairs Key Laboratory of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University , Haidian District, Beijing, China.
Bi-Xia QinPlant Protection Research Institute, Guangxi Academy of Agricultural Sciences, Guangxi Key Laboratory of Biology for Crop Diseases and Insect Pests , Xixiangtang District, Nanning, China.
Hui-Ting XiePlant Protection Research Institute, Guangxi Academy of Agricultural Sciences, Guangxi Key Laboratory of Biology for Crop Diseases and Insect Pests , Xixiangtang District, Nanning, China.
Zhi ZhangMinistry of Agriculture and Rural Affairs Key Laboratory of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University , Haidian District, Beijing, China.
Xiu-Ze QiaoMinistry of Agriculture and Rural Affairs Key Laboratory of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University , Haidian District, Beijing, China.
Shan-Kui LiMinistry of Agriculture and Rural Affairs Key Laboratory of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University , Haidian District, Beijing, China.
Muhammad AsifMinistry of Agriculture and Rural Affairs Key Laboratory of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University , Haidian District, Beijing, China.
Song GuoMinistry of Agriculture and Rural Affairs Key Laboratory of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University , Haidian District, Beijing, China.
Li-Xian CuiPlant Protection Research Institute, Guangxi Academy of Agricultural Sciences, Guangxi Key Laboratory of Biology for Crop Diseases and Insect Pests , Xixiangtang District, Nanning, China.
Pei-Pei WangInstitute of Plant Protection, Hebei Academy of Agriculture and Forestry Sciences, Key Laboratory of IPM on Crops in Northern Region of North China, Ministry of Agriculture and Rural Affairs, IPM Innovation Centre of Hebei Province , Lianchi District, Baoding, China.
Li-Hong DongInstitute of Plant Protection, Hebei Academy of Agriculture and Forestry Sciences, Key Laboratory of IPM on Crops in Northern Region of North China, Ministry of Agriculture and Rural Affairs, IPM Innovation Centre of Hebei Province , Lianchi District, Baoding, China.
Qing-Gang GuoInstitute of Plant Protection, Hebei Academy of Agriculture and Forestry Sciences, Key Laboratory of IPM on Crops in Northern Region of North China, Ministry of Agriculture and Rural Affairs, IPM Innovation Centre of Hebei Province , Lianchi District, Baoding, China.
Wen-Jun JiangMinistry of Agriculture and Rural Affairs Key Laboratory of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University , Haidian District, Beijing, China.ORCID 0000-0002-8808-7627
Ping MaInstitute of Plant Protection, Hebei Academy of Agriculture and Forestry Sciences, Key Laboratory of IPM on Crops in Northern Region of North China, Ministry of Agriculture and Rural Affairs, IPM Innovation Centre of Hebei Province , Lianchi District, Baoding, China.
Zhen-Yuan XiaYunnan Academy of Tobacco Agricultural Sciences , Wuhua District, Kunming, China.
Can-Hua LuYunnan Academy of Tobacco Agricultural Sciences , Wuhua District, Kunming, China.ORCID 0000-0002-9165-5138
Li-Qun ZhangMinistry of Agriculture and Rural Affairs Key Laboratory of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University , Haidian District, Beijing, China.ORCID 0000-0002-6301-2987
Funding
Guangxi Key Lab of Biology for Crop Diseases and Insect Pests 2015-KF-2HAAFS Science and Technology Innovation Special Project 2022KJCXZX-ZBS-8MOA | Special Fund for Agro-scientific Research in the Public Interest (Agro-Scientific Research in the Public Interest of China) 201503109MOST | National Natural Science Foundation of China (NSFC) 31872020MOST | National Natural Science Foundation of China (NSFC) 31901845MOST | National Natural Science Foundation of China (NSFC) 32260702Yunnan Provincial Tobacco Monopoly Bureau 2019530000241007Yunnan Provincial Tobacco Monopoly Bureau 2020530000241013
Abstract
importanceDNA-based detection and quantification of soil-borne pathogens, such as the
Indexed as
Ralstonia solanacearumDNA, BacterialPlant DiseasesPolymerase Chain ReactionDNA, Bacterialinternal sample process controllarge-scale sequence analysisquantitative PCRRalstonia solanacearum species complex
Identifiers
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Textmetadata
LicenceCC BY
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.