Evidence map›Paper›PMID 39339590›Full record

ArticlePlants (Basel, Switzerland)2024

Optimal Light Intensity for Lettuce Growth, Quality, and Photosynthesis in Plant Factories.

Mengdi Dai, Xiangfeng Tan, Ziran Ye, Jianjie Ren, Xuting Chen, Dedong Kong

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2024. 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

6 authors.

Mengdi DaiInstitute of Digital Agriculture, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
Xiangfeng TanInstitute of Digital Agriculture, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.ORCID 0000-0003-4671-0131
Ziran YeInstitute of Digital Agriculture, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.ORCID 0000-0003-2426-6236
Jianjie RenShangyu Agricultural Technology Extension Center, Shaoxing 312300, China.
Xuting ChenInstitute of Digital Agriculture, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
Dedong KongInstitute of Digital Agriculture, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.

Funding

Key R&D Program of Zhejiang Province 2022C02026
6 · The paper itself

Abstract

In agriculture, one of the most crucial elements for sustained plant production is light. Artificial lighting can meet the specific light requirements of various plants. However, it is a challenge to find optimal lighting schemes that can facilitate a balance of plant growth and nutritional qualities. In this study, we experimented with the light intensity required for plant growth and nutrient elements. We designed three light intensity treatments, 180 μmol m

Indexed as

LED lightphotosynthesisplant phenotypeplant physiology

Identifiers

PMID39339590
PMCPMC11434889

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.