Evidence map›Paper›PMID 42357199›Full record

ArticlePlants (Basel, Switzerland)2026

Synergistic Enhancements in Maize Yield and Water Productivity: Dense Planting with Regulated Deficit Irrigation Versus Conventional Practice.

Feng Wang, Haofeng Meng, Jun Xue, Bo Ming, Guoqiang Zhang, Keru Wang, Ruizhi Xie, Shaokun Li

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

8 authors.

Feng WangState Key Laboratory of Aridland Crop Science, Seed Industry Research Institute, College of Agronomy, Gansu Agricultural University, Lanzhou 730070, China.
Haofeng MengState Key Laboratory of Aridland Crop Science, Seed Industry Research Institute, College of Agronomy, Gansu Agricultural University, Lanzhou 730070, China.
Jun XueKey Laboratory of Crop Physiology and Ecology, Ministry of Agriculture and Rural Affairs, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.ORCID 0000-0001-7995-4357
Bo MingKey Laboratory of Crop Physiology and Ecology, Ministry of Agriculture and Rural Affairs, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.ORCID 0000-0002-5384-8617
Guoqiang ZhangKey Laboratory of Crop Physiology and Ecology, Ministry of Agriculture and Rural Affairs, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.ORCID 0000-0003-1522-1095
Keru WangKey Laboratory of Crop Physiology and Ecology, Ministry of Agriculture and Rural Affairs, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Ruizhi XieKey Laboratory of Crop Physiology and Ecology, Ministry of Agriculture and Rural Affairs, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Shaokun LiKey Laboratory of Crop Physiology and Ecology, Ministry of Agriculture and Rural Affairs, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.ORCID 0000-0002-3361-9462

Funding

Gansu Agricultural University GAU-KYQD-2021-16
6 · The paper itself

Abstract

Enhancing both grain yield and water productivity (WP) under water scarcity is a critical challenge for sustainable maize production. Conventional farmer practices-characterized by low planting density (D

Indexed as

arid agroecosystemsdense plantingregulated deficit irrigationsoil water thresholdsynergistic effectwater productivity

Identifiers

PMID42357199
PMCPMC13306355

What OpenQuestion holds

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LicenceCC BY
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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.