Evidence map›Paper›PMID 40265835›Full record

ArticlePlants (Basel, Switzerland)2025

Impact of Drip Irrigation and Nitrogen Application on Plant Height, Leaf Area Index, and Water Use Efficiency of Summer Maize in Southern Xinjiang.

Tao Zhu, Feng Liu, Guangning Wang, Han Guo, Liang Ma

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Tao ZhuCollege of Hydraulic and Civil Engineering, Xinjiang Agricultural University, Urumqi 830052, China.
Feng LiuCollege of Hydraulic and Civil Engineering, Xinjiang Agricultural University, Urumqi 830052, China.
Guangning WangCollege of Hydraulic and Civil Engineering, Xinjiang Agricultural University, Urumqi 830052, China.
Han GuoCollege of Hydraulic and Civil Engineering, Xinjiang Agricultural University, Urumqi 830052, China.ORCID 0009-0009-7544-6561
Liang MaCollege of Hydraulic and Civil Engineering, Xinjiang Agricultural University, Urumqi 830052, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Agricultural production faces critical challenges in arid regions due to global climate change and water scarcity. Exploring optimal water and nitrogen irrigation combinations is essential to enhancing water use efficiency and crop yields. This study employs the logistic growth model to analyze the impact of varying water and nitrogen treatments on summer maize growth in southern Xinjiang. The goal is to identify an optimal irrigation strategy to enhance maize productivity, optimize water use, and ensure precise crop management. Field experiments included three irrigation levels (W1: 80% ETc, W2: 100% ETc, W3: 120% ETc) and four nitrogen rates (N0: 0 kg/ha, N1: 168 kg/ha, N2: 306.5 kg/ha, N3: 444.5 kg/ha). A logistic growth model, incorporating effective accumulated temperature, plant height, and leaf area index (LAI), quantified growth dynamics. Maximum (v

Indexed as

effective accumulated temperaturegrowth dynamicsgrowth modelsmaize developmentrapid growth stage

Identifiers

PMID40265835
PMCPMC11944472

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.