Evidence map›Paper›PMID 37324720›Full record

ArticleFrontiers in plant science2023

Optimal planting pattern of cotton is regulated by irrigation amount under mulch drip irrigation.

Wenqing Zuo, Baojian Wu, Yuxuan Wang, Shouzhen Xu, Jingshan Tian, Xingli Jiu, Hengyi Dong, Wangfeng Zhang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
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

4 citing papers in PubMed, 10 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Wenqing ZuoKey Laboratory of Oasis Eco-Agriculture, Xinjiang Production and Construction Corps, College of Agronomy, Shihezi University, Shihezi, Xinjiang, China.
Baojian WuKey Laboratory of Oasis Eco-Agriculture, Xinjiang Production and Construction Corps, College of Agronomy, Shihezi University, Shihezi, Xinjiang, China.
Yuxuan WangKey Laboratory of Oasis Eco-Agriculture, Xinjiang Production and Construction Corps, College of Agronomy, Shihezi University, Shihezi, Xinjiang, China.
Shouzhen XuKey Laboratory of Oasis Eco-Agriculture, Xinjiang Production and Construction Corps, College of Agronomy, Shihezi University, Shihezi, Xinjiang, China.
Jingshan TianKey Laboratory of Oasis Eco-Agriculture, Xinjiang Production and Construction Corps, College of Agronomy, Shihezi University, Shihezi, Xinjiang, China.
Xingli JiuRegimental Farm 149, Division Eight, Xinjiang Production and Construction Corps, Shihezi, China.
Hengyi DongRegimental Farm 149, Division Eight, Xinjiang Production and Construction Corps, Shihezi, China.
Wangfeng ZhangKey Laboratory of Oasis Eco-Agriculture, Xinjiang Production and Construction Corps, College of Agronomy, Shihezi University, Shihezi, Xinjiang, China.
Xinjiang Production and Construction Corps · CNShihezi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: It is of great importance to explore agronomic management measures for water conservation and cotton yield in arid areas. Methods: A four-year field experiment was conducted to evaluate cotton yield and soil water consumption under four row spacing configurations (high/low density with 66+10 cm wide, narrow row spacing, RS Results: A quadratic relationship was observed between the maximum LAI (LAI Conclusion: A 5.0<LAI

Indexed as

cottonleaf area indexmulch drip irrigationrow spacing configurationsoil water consumption

Identifiers

PMID37324720
PMCPMC10265678
OpenAlexW4380135863

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.