Evidence map›Paper›PMID 41994274›Full record

ArticleFrontiers in microbiology2026

Synergistic effects of biochar and cellulase on carbon emission reduction and humification during co-composting of cattle manure and sugarcane bagasse.

Xinyu Liu, Xiaojian He, Mi Li, Quanbing Pan, Bin Huang, Leye Huang, Jie Wang

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

7 authors.

Xinyu Liu *Pest Integrated Management Key Laboratory of China Tobacco, Tobacco Research Institute of Chinese Academy of Agricultural Sciences, Qingdao, China.
Xiaojian He *Yunnan China Tobacco Industry Co., Ltd., Kunming, China.
Mi LiYunnan China Tobacco Industry Co., Ltd., Kunming, China.
Quanbing PanYunnan China Tobacco Industry Co., Ltd., Kunming, China.
Bin HuangPest Integrated Management Key Laboratory of China Tobacco, Tobacco Research Institute of Chinese Academy of Agricultural Sciences, Qingdao, China.
Leye HuangPest Integrated Management Key Laboratory of China Tobacco, Tobacco Research Institute of Chinese Academy of Agricultural Sciences, Qingdao, China.
Jie WangPest Integrated Management Key Laboratory of China Tobacco, Tobacco Research Institute of Chinese Academy of Agricultural Sciences, Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The emission of carbon dioxide (CO₂) and methane (CH₄) during composting not only contributes to the greenhouse effect but also leads to carbon loss, thereby reducing humus production and compromising the quality of the final compost product. This study investigated the efficacy and underlying mechanisms of biochar and cellulase addition, individually and in combination, in mitigating emissions and enhancing compost quality within a cattle manure-sugarcane bagasse co-composting system. Methods: By monitoring key composting parameters and combining with high-throughput sequencing analysis of bacterial and fungal communities, the changes of microbial structure and function were evaluated, focusing on organic carbon transformation, humification pathway and greenhouse gas mitigation mechanism. Results and discussion: The results demonstrated that compared with the control, the combined application of biochar and cellulase (particularly the treatment with 5% biochar, denoted as MC5) significantly reduced the cumulative emissions of CO

Indexed as

biocharcarbon emission reductioncellulasehumificationmicrobial community

Identifiers

PMID41994274
PMCPMC13079643

What OpenQuestion holds

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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.