Evidence map›Paper›PMID 42434555›Full record

ArticleFrontiers in microbiology2026

Effects of irrigation techniques on soil carbon sequestration and yield maintenance in non-rainfed croplands under straw return.

Wei Cheng, Juntao Cui, Bing Zhang, Long Ming

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

4 authors.

Wei ChengCollege of Humanities & Information, Changchun University of Technology, Changchun, China.
Juntao CuiCollege of Resources and Environmental, Jilin Agricultural University, Changchun, China.
Bing ZhangCollege of Resources and Environmental, Jilin Agricultural University, Changchun, China.
Long MingCollege of Landscape Architecture, Changchun University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Driven by policies promoting green agricultural development and straw resource utilization, straw return has become an important strategy for improving cropland quality and enhancing farmland carbon sequestration. However, in non-rainfed croplands, stable crop production still depends on appropriate irrigation. Under straw return, the effects of different irrigation techniques on soil carbon sequestration and crop yield remain unclear, limiting the optimization of irrigation regimes and the synergistic enhancement of farmland carbon sequestration and yield stability. Methods: Based on this, the present study was conducted in a non-rainfed maize-growing region of Northeast China using high-throughput sequencing and statistical modeling. This study revealed how different irrigation techniques under straw return altered soil microbial communities, enzyme activities, and carbon components, thereby influencing crop yield. Results: Under the BICS treatment, microbial network structure and dissolved organic carbon were strongly associated with variations in maize yield. In contrast, the SDCS treatment increased particulate organic carbon content by 15.28% compared with BICS, and exhibited higher laccase activity (up to 2.38 nmol min Discussion: This study contributes to a deeper understanding of how irrigation techniques under straw return regulate soil carbon sequestration and crop yield formation, and provides a theoretical basis for optimizing water management strategies that jointly promote carbon sequestration and stable production in non-rainfed croplands.

Indexed as

agricultural developmentirrigation methodsmaize yieldmicroorganismsstraw return

Identifiers

PMID42434555
PMCPMC13350467

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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.