Evidence map›Paper›PMID 33841478›Full record

ArticleFrontiers in plant science2021

The Spectral Irradiance, Growth, Photosynthetic Characteristics, Antioxidant System, and Nutritional Status of Green Onion (

Song Gao, Xuena Liu, Ying Liu, Bili Cao, Zijing Chen, Kun Xu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.8field-weighted citation impact, top 8% of its field
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

7 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Metabolomics and Antioxidant Activity of Valonea fromInternational journal of molecular sciences · 2025
    Article
  3. Article
  4. Article
  5. International journal of molecular sciences · 2023
    Article
  6. Article
  7. Welsh Onion (Plants (Basel, Switzerland) · 2022
    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 at 3 institutions in 1 country.

Song GaoCollege of Horticulture Science and Engineering, Shandong Agricultural University, Tai'an, China.
Xuena LiuCollege of Horticulture Science and Engineering, Shandong Agricultural University, Tai'an, China.
Ying LiuCollege of Horticulture Science and Engineering, Shandong Agricultural University, Tai'an, China.
Bili CaoCollege of Horticulture Science and Engineering, Shandong Agricultural University, Tai'an, China.
Zijing ChenCollege of Horticulture Science and Engineering, Shandong Agricultural University, Tai'an, China.
Kun XuCollege of Horticulture Science and Engineering, Shandong Agricultural University, Tai'an, China.
Ministry of Agriculture and Rural Affairs · CNShandong Agricultural University · CNState Key Laboratory of Crop Biology

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The active regulation of the plant growth environment is a common method for optimizing plant yield and quality. In horticulture today, light quality control is carried out using photo-selective nets or membranes to improve the yield and quality of cultivated plants. In the present study, with natural light as the control (CK), we tested different photo-selective nets (white, WN; blue, BN; green, GN; yellow, YN; and red, RN) with 30% shade for characteristics of growth, development, quality, yield, photosynthesis, and chlorophyll fluorescence, considering the antioxidant system, as well as the influence of element absorption and transformation of green onion (

Indexed as

green onion (Allium fistulosum L.)photo-selective netsphotosynthesisplant antioxidant systemproduct quality

Identifiers

PMID33841478
PMCPMC8030602
OpenAlexW3139766185

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.