Evidence map›Paper›PMID 41834873›Full record

ArticleFrontiers in microbiology2026

Effects of different rotation crops on soil physicochemical properties and microbial community structure in continuous cotton fields.

Yushui Duan, Hao Zhang, Chen He, Gang Gao, Qiuxiang Tang

Abstract read
In one paragraph

Article in Frontiers in microbiology, 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

5 authors.

Yushui DuanEngineering Research Center for Cotton, Ministry of Education, College of Agriculture, Xinjiang Agricultural University, Urumqi, China.
Hao ZhangEngineering Research Center for Cotton, Ministry of Education, College of Agriculture, Xinjiang Agricultural University, Urumqi, China.
Chen HeEngineering Research Center for Cotton, Ministry of Education, College of Agriculture, Xinjiang Agricultural University, Urumqi, China.
Gang GaoEngineering Research Center for Cotton, Ministry of Education, College of Agriculture, Xinjiang Agricultural University, Urumqi, China.
Qiuxiang TangEngineering Research Center for Cotton, Ministry of Education, College of Agriculture, Xinjiang Agricultural University, Urumqi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cotton monoculture is widespread in the oasis cotton-growing region of Xinjiang. Long-term continuous cropping has led to declines in soil fertility and imbalances in microbial communities, constraining sustainable, green production. Crop rotation is an effective agronomic practice to mitigate the deleterious effects of continuous cropping; however, the selection of rotation crops and the regulatory mechanisms by which rotation reshapes the soil micro-ecology require systematic clarification. Using continuous cotton (CK) cropping as the control, we combined high-throughput amplicon sequencing with soil physicochemical analyses to evaluate the effects of four previous-crop schemes-cotton → peanut (CPC), cotton → soybean (CSC), cotton → rapeseed (CRC), and cotton → maize (CMC)-on soil properties and the microbial community structure. Relative to CK, the CPC, CSC, and CRC treatments led to significantly reductions in yield and gross output value ranging from 38.72 to 62.23% and 34.54 to 55.35%, respectively. Although the net profit under CPC treatment decreased by 36.27% relative to CK, the benefit-cost ratio showed no significant difference. CPC significantly increased soil organic matter, available phosphorus, NH4

Indexed as

cottonfunctional predictionrotation cropsoil microbiomesoil physicochemical properties

Identifiers

PMID41834873
PMCPMC12982398

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.