Evidence map›Paper›PMID 42197474›Full record

ArticleMicroorganisms2026

Effects of Different Cropping Patterns on Soil Microbial Community and Function in Ningxia Irrigation-Silted Soil.

Baiyun Li, Qing Zhao, Hongna Li, Zehua Xu, Tao Zhou, Xinnian Guo, Lina Zhou

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

7 authors.

Baiyun LiHorticultural Research Institute, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan 750002, China.
Qing ZhaoInstitute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Hongna LiInstitute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China.ORCID 0000-0003-0061-0776
Zehua XuHorticultural Research Institute, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan 750002, China.
Tao ZhouAgricultural Resources and Environment Institute, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan 750002, China.
Xinnian GuoAgricultural Resources and Environment Institute, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan 750002, China.
Lina ZhouAgricultural Resources and Environment Institute, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan 750002, China.

Funding

Ningxia Key Research and Development Program 2023BCF01049Ningxia Key Research and Development Program 2026BBF02011
6 · The paper itself

Abstract

Irrigation-silted soil in Ningxia represents a unique, anthropogenically modified agroecosystem, beneficial for regional food security. Yet, how different agricultural management techniques influence soil microbiome diversity remains poorly explored. Full-length amplicon sequencing (16S rRNA and ITS) was applied to assess the effects of vegetable and maize cultivation, relative to an uncultivated wasteland control, on soil bacterial and fungal community. Cropping patterns significantly influenced microbial alpha diversity, with contrasting effects on bacterial and fungal communities. Specifically, bacterial diversity peaked in vegetable fields, while fungal diversity was highest in maize fields. Both the bacterial and fungal community structures differed markedly among the three land-use types (

Indexed as

crop rotationfunctional predictionmicrobial diversitysoil bacterial communitysoil fungal communitysustainable agriculture

Identifiers

PMID42197474
PMCPMC13210321

What OpenQuestion holds

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LicenceCC BY
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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.