Evidence map›Paper›PMID 31934339›Full record

ArticleHorticulture research2020

Defect in Brnym1, a magnesium-dechelatase protein, causes a stay-green phenotype in an EMS-mutagenized Chinese cabbage (

Nan Wang, Yun Zhang, Shengnan Huang, Zhiyong Liu, Chengyu Li, Hui Feng

Open access · goldAbstract read
In one paragraph

Article in Horticulture research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
6.5field-weighted citation impact, top 4% 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

22 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Article
  3. A single-base mutation on the 5' UTR of BrATG5 confers the premature leaf senescence phenotype in Chinese cabbage.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Role of Brassica orphan gene BrLFM on leafy head formation in Chinese cabbage (Brassica rapa).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
  9. Homolog of PeaGenes · 2023
    Article
  10. Horticulture research · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. The AP2 Transcription FactorInternational journal of molecular sciences · 2022
    Article
  15. Article
  16. Defect inFrontiers in plant science · 2022
    Article
  17. Article
  18. Review
  19. Article
  20. 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 at 1 institution in 1 country.

Nan WangDepartment of Horticulture, Shenyang Agricultural University, Shenyang, China.
Yun ZhangDepartment of Horticulture, Shenyang Agricultural University, Shenyang, China.
Shengnan HuangDepartment of Horticulture, Shenyang Agricultural University, Shenyang, China.
Zhiyong LiuDepartment of Horticulture, Shenyang Agricultural University, Shenyang, China.
Chengyu LiDepartment of Horticulture, Shenyang Agricultural University, Shenyang, China.
Hui FengDepartment of Horticulture, Shenyang Agricultural University, Shenyang, China.ORCID 0000-0002-6345-6633
Shenyang Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leaf color is an important target trait in Chinese cabbage breeding programs. Leaf yellowing may reduce crop commercial and nutritional values. Some plants with the "stay-green" trait maintain leaf greenness during senescence and even after death. Stay-green Chinese cabbage may be a focal point of future breeding projects because it could improve crop quality and yield and prolong shelf life. A new stay-green mutant,

Indexed as

Plant breeding

Identifiers

PMID31934339
PMCPMC6944686
OpenAlexW2998110153

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.