Evidence map›Paper›PMID 41717120›Full record

ArticleFrontiers in plant science2026

Mechanized wide narrow row densification configuration enhances japonica rice yield and head rice quality in Northern China.

Liqiang Dong, Maoxing Song, Tiexin Yang, Liang Ma, Yuedong Li, Yi Huang

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.

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

6 authors.

Liqiang DongLiaoning Academy of agricultural sciences, Liaoning Rice Research Institute, Shenyang, Liaoning, China.
Maoxing SongTangshan Academy of Agricultural Sciences, Tangshan, Hebei, China.
Tiexin YangLiaoning Academy of agricultural sciences, Liaoning Rice Research Institute, Shenyang, Liaoning, China.
Liang MaLiaoning Academy of agricultural sciences, Liaoning Rice Research Institute, Shenyang, Liaoning, China.
Yuedong LiLiaoning Academy of agricultural sciences, Liaoning Rice Research Institute, Shenyang, Liaoning, China.
Yi HuangComprehensive Affairs Service Center, Boluopu Town, Dashiqiao, Liaoning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Planting configuration is an important factor in regulating rice yield and quality. This study aimed to elucidate the effects of mechanized transplanting configuration on yield formation and grain quality in northern China. Methods: A two-year field experiment (2022-2023) was conducted using the japonica cultivar Liaojing 419, comparing four planting modes: local farmer's method (LFM, equal row spacing), conventional densification (CDM), narrow-row densification (NDM), and wide-narrow row densification (WNDM). Measurements included yield and its components, biomass accumulation, soluble sugar content in grains, processing quality (head rice yield), cooking and eating quality, and starch granule morphology of milled rice powder. Results: The order of grain yield is WNDM>NDM>CDM>LFM, although NDM has the highest dry matter mass and productive panicles, WNDM has the highest product of total grain number (/m Conclusion: The mechanized wide-narrow row densification configuration presents a balanced strategy that enhances grain yield and milling quality while maintaining acceptable eating quality. It offers a promising planting method for improving overall productivity in mechanized japonica rice systems in northern China.

Indexed as

fine rice powdermechanized rice productionrice qualityrice yieldrow and hill spacing modes

Identifiers

PMID41717120
PMCPMC12913112

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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.