Evidence map›Paper›PMID 41298669›Full record

ArticleScientific reports2025

Red and white LED light improve vegetative propagation of Dysophylla yatabeana in closed-type smart farm.

Jae-Hoon Park, Jung-Min Lee, Se-Hee Kim, Kyeong-Mi Cho, Do-Hun Ryu, Ji-Won Park, Yeo-Bin Park, Eui-Joo Kim, Young-Han You

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. 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

9 authors.

Jae-Hoon ParkBiotechnology Research Institute, Kongju National University, Gongju, 32588, Republic of Korea.
Jung-Min LeeLivable Urban Forests Research Center, National Institute of Forest Science, 57 Hoegi-ro, Dongdaemun-gu, Seoul, 02455, Republic of Korea.
Se-Hee KimNational Institute of Ecology, 1210 Geumgang-ro, Maseo-myeon, Seocheon, 33657, Republic of Korea.
Kyeong-Mi ChoDepartment of Biological Sciences, Kongju National University, Gongju, 32588, Republic of Korea.
Do-Hun RyuDepartment of Biological Sciences, Kongju National University, Gongju, 32588, Republic of Korea.
Ji-Won ParkDepartment of Biological Sciences, Kongju National University, Gongju, 32588, Republic of Korea.
Yeo-Bin ParkDepartment of Biological Sciences, Kongju National University, Gongju, 32588, Republic of Korea.
Eui-Joo KimForest Disaster & Environment Department, Livable Urban Forests Research Center, National Institute of Forest Science, 57 Hoegi-ro, Dongdaemun-gu, Seoul, 02455, Republic of Korea.
Young-Han YouDepartment of Biological Sciences, Kongju National University, Gongju, 32588, Republic of Korea. youeco21@kongju.ac.kr.

Funding

Korea Environmental Industry and Technology Institute 2022003630003
6 · The paper itself

Abstract

Efficient artificial lighting is essential for optimizing plant growth and propagation in closed-type smart farms. This study aimed to evaluate the effects of light-emitting diode (LED) combinations using red (R), blue (B), and white (W) light on physiological responses and rhizome-based vegetative propagation in Dysophylla yatabeana, a poorly seed-propagable aquatic species. Plants were cultivated under five different spectral treatments and a natural light control. Key physiological indicators-including net photosynthetic rate (P

Indexed as

LightCarbon DioxideFarmsPhotosynthesisPlant LeavesRhizomeCarbon DioxideControlled-environment agricultureLED light qualityPhotosynthetic responseRhizome propagationSmart farm

Identifiers

PMID41298669
PMCPMC12748701

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.