Evidence map›Paper›PMID 37202434›Full record

ArticleScientific reports2023

Ammonia oxidizing archaea and bacteria respond to different manure application rates during organic vegetable cultivation in Northwest China.

Zhan Wang, Yinkun Li, Wengang Zheng, Yuru Ji, Minjie Duan, Li Ma

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 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
0.6field-weighted citation impact, top 43% of its field
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, 8 citations in OpenAlex.

  1. Plant-mediated nitrous oxide emissions.Frontiers in plant science · 2026
    Review
  2. Review
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

6 authors at 2 institutions in 1 country.

Zhan WangResearch Centre of Intelligent Equipment, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China.
Yinkun LiResearch Centre of Intelligent Equipment, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China. lykun1218@163.com.
Wengang ZhengResearch Centre of Intelligent Equipment, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China.
Yuru JiResearch Centre of Intelligent Equipment, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China.
Minjie DuanBeijing Key Laboratory of Ecological Function Assessment and Regulation Technology of Green Space, Beijing Urban Ecosystem Positioning Observation and Research Station, Beijing Institute of Landscape Architecture, Beijing, 100102, China.
Li MaWuzhong National Agricultural Science and Technology Park Management Committee, Wuzhong, 751100, Ningxia, China.
Beijing Academy of Agricultural and Forestry Sciences · CNNingxia Academy of Agriculture and Forestry Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ammonia oxidization is a critical process in nitrogen cycling that involves ammonia oxidizing archaea (AOA) and bacteria (AOB). However, the effects of different manure amounts on ammonia-oxidizing microorganisms (AOMs) over the course of organic vegetables production remains unclear. We used the amoA gene to evaluated AOMs abundance and community structure in organic vegetable fields. Quantitative PCR revealed that AOB were more abundant than AOA. Among them, the amoA copy number of AOB treated with 900 kgN ha

Indexed as

AmmoniaArchaeaBacteriaCarbonChinaManureNitrificationNitrogenOxidation-ReductionPhylogenySoil MicrobiologyVegetablesAmmoniaCarbonManureNitrogen

Identifiers

PMID37202434
PMCPMC10195796
OpenAlexW4377022612

What OpenQuestion holds

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.