Evidence map›Paper›PMID 42523617›Full record

ArticleFrontiers in plant science2026

Acid-modified biochar combined with reduced nitrogen fertilizer improves soil organic carbon and cotton yield in saline-alkali soil.

Shining Liu, Yongjie Wei, Xiaofeng Wang, Jing Yang, Jiao Lin, Wenqing Zhao, Wei Hu, Mingwei Du, Zhiguo Zhou, Sumei Wan

Abstract read
In one paragraph

Article in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

10 authors.

Shining LiuCollege of Agriculture, Tarim University, Alar, China.
Yongjie WeiCollege of Agriculture, Tarim University, Alar, China.
Xiaofeng WangCollege of Agriculture, Tarim University, Alar, China.
Jing YangCollege of Agriculture, Tarim University, Alar, China.
Jiao LinCollege of Agriculture, Tarim University, Alar, China.
Wenqing ZhaoCollege of Agriculture, Nanjing Agricultural University, Nanjing, China.
Wei HuCollege of Agriculture, Nanjing Agricultural University, Nanjing, China.
Mingwei DuCollege of Agriculture, Tarim University, Alar, China.
Zhiguo ZhouCollege of Agriculture, Nanjing Agricultural University, Nanjing, China.
Sumei WanCollege of Agriculture, Tarim University, Alar, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Saline-alkali soils commonly face the dual challenges of low stock and activity in soil organic carbon (SOC), and long-term excessive nitrogen (N) fertilizer application further exacerbates soil quality degradation. Acid-modified biochar offers a promising approach for improving the fertility of saline-alkali soils, yet the effects of its combined application with N fertilizer on SOC fractions and soil quality remain insufficiently studies. Methods: Therefore, we conducted a two-year field experiment to comprehensively assess the effects of acid-modified biochar combined with N fertilizer application on soil quality index (SQI), microbial nutrient limitation and microbial carbon use efficiency (CUE), SOC fractions and yield. A randomized complete block experiment with five treatments was established: no chemical N fertilizer and no acid-modified biochar (CK), 300 kg N ha Results: The BN1 and BN2 treatments effectively lowered soil pH by 3.7%-5.6% and increased the contents of available phosphorus (Av-P), available potassium (Av-K), nitrate nitrogen (NO Conclusion: Overall, 20% reduction of conventional N fertilizer combined with acid-modified biochar was more effective at improving soil quality and reducing microbial C limitation, enhance microbial CUE, and foster the accumulation of SOC, providing guidance for sustainable development in saline-alkali soil.

Indexed as

acid-modified biocharmicrobial carbon use efficiencynitrogen fertilizationsoil organic carbonsoil quality

Identifiers

PMID42523617
PMCPMC13407268

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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.