Evidence map›Paper›PMID 42452243›Full record

ArticlePlants (Basel, Switzerland)2026

Nine Coupled Irrigation-Agronomic Treatments for Water-Saving Rice Production on Albic Soil: An Interpretable Machine-Learning Diagnosis.

Jing Wang, Haomin Wang, Hui Guo, Zhenjiang Si, Tao Liu

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 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

5 authors.

Jing WangSchool of Hydraulic and Electric Power, Heilongjiang University, Harbin 150080, China.
Haomin WangHeilongjiang Provincial Water Conservancy and Hydropower Survey, Design and Research Institute, Harbin 150080, China.
Hui GuoHeilongjiang Provincial Water Conservancy and Hydropower Survey, Design and Research Institute, Harbin 150080, China.ORCID 0009-0005-7710-1867
Zhenjiang SiSchool of Hydraulic and Electric Power, Heilongjiang University, Harbin 150080, China.ORCID 0009-0006-2295-8473
Tao LiuSchool of Hydraulic and Electric Power, Heilongjiang University, Harbin 150080, China.

Funding

Heilongjiang Provincial Science and Technology Department GA19C005Heilongjiang Provincial Science and Technology Department JD22B001
6 · The paper itself

Abstract

Sustaining rice productivity under the dual constraints of freshwater scarcity and low-temperature stress represents a pressing challenge for high-latitude japonica rice systems worldwide. There is an urgent need to develop coupled irrigation-agronomic management strategies that jointly safeguard yield stability and water use efficiency (WUE) in cold-region rice production. In this study, a two-year field experiment was conducted in 2024-2025 on albic soil (Albic Luvisols, WRB; θfc 38.2%

Indexed as

albic soilcold-region japonica riceconformal predictioncontrolled irrigationinterpretable machine learningrhizosphere redox potentialsoil amendmentwater use efficiency

Identifiers

PMID42452243
PMCPMC13364089

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.