Evidence map›Paper›PMID 40604006›Full record

ArticleScientific reports2025

Tailoring red, green, and blue LED spectra to improve yield and quality of Glehnia littoralis.

Moon-Sun Yeom, Myung-Min Oh

Abstract read
In one paragraph

Article in Scientific reports, 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. Review
  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

2 authors.

Moon-Sun YeomDivision of Animal, Horticultural, and Food Sciences, Chungbuk National University, Cheongju, 28644, Republic of Korea.
Myung-Min OhDivision of Animal, Horticultural, and Food Sciences, Chungbuk National University, Cheongju, 28644, Republic of Korea. moh@cbnu.ac.kr.

Funding

Rural Development Administration PJ01385201
6 · The paper itself

Abstract

Selecting the optimal light in Controlled Environment Agriculture (CEA) is crucial for crop yield and quality. However, the optimal light conditions can only be identified through extensive testing. This study proposes a methodology for selecting the optimizing light conditions and applies it to a medicinal herb Glehnia littoralis. Using a mixture design and response surface methodology with red (R), green (G), and blue (B) based LEDs, the optimal light spectrum was identified as R:B = 7:5 based on growth parameters (shoot fresh weight, number of leaves, leaf area, and shoot area). Verification experiments showed that R:B = 7:5 enhanced growth through R and B light synergy, while the high proportion of blue light stimulated secondary metabolism, leading to increased biomass and accumulation of medicinally valuable compounds-imperatorin, bergamottin, and coumarin. These findings highlight the potential of using tailored artificial light spectra in CEA to overcome cultivation challenges and optimize yield and quality, contributing to the development of a stable and sustainable scalable production system for high value medicinal plants.

Indexed as

ApiaceaeLightBiomassCoumarinsEnvironment, ControlledPlant LeavesPlants, MedicinalCoumarinsArtificial lightLight recipesLight spectrumMedicinal plantPhytochemicalsVertical farming

Identifiers

PMID40604006
PMCPMC12223103

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.