Evidence map›Paper›PMID 40161349›Full record

ArticlePeerJ2025

Effects of different proportions of organic substitution for mineral fertilizers on soil methanogenic and methanotrophic communities in paddy fields.

Dandan Yuan, Keke Dang, Jing Yin, Han Liu, Tingting Ma, Jia Liu, Xingjia Xiang

Abstract read
In one paragraph

Article in PeerJ, 2025. 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.

Dandan YuanSchool of Resources and Environmental Engineering, Anhui University, He Fei, Anhui Province, China.
Keke DangSchool of Resources and Environmental Engineering, Anhui University, He Fei, Anhui Province, China.
Jing YinSchool of Resources and Environmental Engineering, Anhui University, He Fei, Anhui Province, China.
Han LiuSoil and Fertilizer & Resources and Environment Institute, Jiangxi Academy of Agricultural Sciences, Nanchang, Jiangxi Province, China.
Tingting MaSchool of Resources and Environmental Engineering, Anhui University, He Fei, Anhui Province, China.
Jia LiuSoil and Fertilizer & Resources and Environment Institute, Jiangxi Academy of Agricultural Sciences, Nanchang, Jiangxi Province, China.
Xingjia XiangSchool of Resources and Environmental Engineering, Anhui University, He Fei, Anhui Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mineral fertilizers are widely used to improve rice yields, but their overuse has caused severe environmental problems. Replacing mineral fertilizers with organic alternatives might be an effective practice for enhancing agro-ecosystems. This study investigated treatments with varying proportions of organic substitution to determine the optimal approach for increasing soil fertility and rice yield. In addition, the relationship between soil methane emission characteristics and associated microbial communities was studied by microcosm experiments and high-throughput sequencing to assess greenhouse gas emissions. Compared with mineral fertilizers alone, treatment with organic substitution, especially at high proportions, increased soil pH, fertility, and crop yield. Treatment with a medium proportion of organic substitution increased cumulative methane (CH

Indexed as

FertilizersMethaneMineralsOryzaSoilSoil MicrobiologyGreenhouse GasesHydrogen-Ion ConcentrationFertilizersGreenhouse GasesMethaneMineralsSoilCH4 emissionsChinese milk vetchLong-term fertilizationPig manureRed paddy soil

Identifiers

PMID40161349
PMCPMC11954458

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.