Evidence map›Paper›PMID 39273992›Full record

ReviewPlants (Basel, Switzerland)2024

Meta-Analysis of the Impact of Far-Red Light on Vegetable Crop Growth and Quality.

Minggui Zhang, Jun Ju, Youzhi Hu, Rui He, Jiali Song, Houcheng Liu

Abstract readReview
In one paragraph

Review 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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.

Minggui ZhangCollege of Horticulture, South China Agricultural University, Guangzhou 510642, China.
Jun JuCollege of Horticulture, South China Agricultural University, Guangzhou 510642, China.
Youzhi HuCollege of Horticulture, South China Agricultural University, Guangzhou 510642, China.
Rui HeCollege of Horticulture, South China Agricultural University, Guangzhou 510642, China.
Jiali SongCollege of Horticulture, South China Agricultural University, Guangzhou 510642, China.
Houcheng LiuCollege of Horticulture, South China Agricultural University, Guangzhou 510642, China.ORCID 0000-0002-6884-8628

Funding

National Key Research and Development of China 2021YFD2000701
6 · The paper itself

Abstract

Far-red lights (FRs), with a wavelength range between 700 and 800 nm, have substantial impacts on plant growth, especially horticultural crops. Previous studies showed conflicting results on the effects of FRs on vegetable growth and quality. Therefore, we conducted a meta-analysis on the influence of FRs on vegetable growth, aiming to provide a comprehensive overview of their effects on the growth and nutritional indicators of vegetables. A total of 207 independent studies from 55 literature sources were analyzed. The results showed that FR treatment had significant effects on most growth indicators, including increasing the fresh weight (+25.27%), dry weight (+21.99%), plant height (+81.87%), stem diameter (+12.91%), leaf area (+18.57%), as well as reducing the content of chlorophyll (-11.88%) and soluble protein (-11.66%), while increasing soluble sugar content (+19.12%). Further subgroup analysis based on various factors revealed significant differences in the effects of FR on different physiological indicators, such as FR intensity, plant species, duration of FR exposure, and the ratio of red light to FR. In general, moderate FR treatment is beneficial for vegetable growth. This study provides important references and guidelines for optimizing the application of FR in the future.

Indexed as

far-red lightmeta-analysismorphological indicatorsnutritional indicatorsstatistical analysisvegetable growth

Identifiers

PMID39273992
PMCPMC11397353

What OpenQuestion holds

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Registered trials

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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.