Evidence map›Paper›PMID 41937787›Full record

ArticleFrontiers in plant science2026

Partial substitution of nitrogen fertilizer by Chinese milk vetch with different improvement measures achieves a win-win for rice productivity and environmental benefits.

Shang Han, Rongyan Bu, Guopeng Zhou, Shan Tang, Hui Wang, Min Li, Wenlong Cheng, Ji Wu, Hongjian Gao

Abstract read
PubMed Full text at PMC Publisher
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.

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

9 authors.

Shang HanCollege of Resources and Environment, Anhui Agricultural University, Anhui Province Key Lab of Farmland Ecological Conservation and Nutrient Utilization, Anhui Province Engineering and Technology Research Center of Intelligent Manufacture and Efficient Utilization of Green Phosphorus Fertilizer, Hefei, China.
Rongyan BuSoil and Fertilizer Institute, Anhui Academy of Agricultural Sciences, Fuyang Field Observation and Research Station of Soil Quality, Ministry of Agriculture and Rural Affairs, Key Laboratory of Nutrient Cycling and Arable Land Conservation of Anhui Province, Hefei, China.
Guopeng ZhouCollege of Resources and Environment, Anhui Agricultural University, Anhui Province Key Lab of Farmland Ecological Conservation and Nutrient Utilization, Anhui Province Engineering and Technology Research Center of Intelligent Manufacture and Efficient Utilization of Green Phosphorus Fertilizer, Hefei, China.
Shan TangSoil and Fertilizer Institute, Anhui Academy of Agricultural Sciences, Fuyang Field Observation and Research Station of Soil Quality, Ministry of Agriculture and Rural Affairs, Key Laboratory of Nutrient Cycling and Arable Land Conservation of Anhui Province, Hefei, China.
Hui WangSoil and Fertilizer Institute, Anhui Academy of Agricultural Sciences, Fuyang Field Observation and Research Station of Soil Quality, Ministry of Agriculture and Rural Affairs, Key Laboratory of Nutrient Cycling and Arable Land Conservation of Anhui Province, Hefei, China.
Min LiSoil and Fertilizer Institute, Anhui Academy of Agricultural Sciences, Fuyang Field Observation and Research Station of Soil Quality, Ministry of Agriculture and Rural Affairs, Key Laboratory of Nutrient Cycling and Arable Land Conservation of Anhui Province, Hefei, China.
Wenlong ChengSoil and Fertilizer Institute, Anhui Academy of Agricultural Sciences, Fuyang Field Observation and Research Station of Soil Quality, Ministry of Agriculture and Rural Affairs, Key Laboratory of Nutrient Cycling and Arable Land Conservation of Anhui Province, Hefei, China.
Ji WuSoil and Fertilizer Institute, Anhui Academy of Agricultural Sciences, Fuyang Field Observation and Research Station of Soil Quality, Ministry of Agriculture and Rural Affairs, Key Laboratory of Nutrient Cycling and Arable Land Conservation of Anhui Province, Hefei, China.
Hongjian GaoCollege of Resources and Environment, Anhui Agricultural University, Anhui Province Key Lab of Farmland Ecological Conservation and Nutrient Utilization, Anhui Province Engineering and Technology Research Center of Intelligent Manufacture and Efficient Utilization of Green Phosphorus Fertilizer, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Green manuring has been proven to be a sustainable strategy for enhancing paddy soil fertility and reducing chemical fertilizer input. However, the anaerobic decomposition of green manure in flooded soils leads to substantial increase in methane (CH Methods: A two-year (2022-2024) field experiment was conducted with four treatments: (T1, control) winter fallow + conventional nitrogen application; (T2) green manuring + 30% nitrogen reduction; (T3) green manuring + 30% nitrogen reduction + delayed flooding; and (T4) green manuring + 30% nitrogen reduction + ethephon application. Compared to T1, T2 treatment maintained rice yields while having no significant effect on annual cumulative CH Conclusion: When applying Chinese milk vetch to substitute 30% of nitrogen fertilizer in the rice season, integration with delayed flooding or ethephon application leads to coordinated rice yield improvement and GHG emission reduction. This study provides a feasible agronomic strategy for green production in paddy fields and offers a technical solution for mitigating GHG emissions while safeguarding rice productivity.

Indexed as

carbon footprintemission reduction materialgreen manurenet ecosystem economic benefitnitrogen fertilizerwater management

Identifiers

PMID41937787
PMCPMC13047151

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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.