Evidence map›Paper›PMID 23641176›Full record

ArticleBreeding science2013

Genes that influence yield in tomato.

Tohru Ariizumi, Yoshihito Shinozaki, Hiroshi Ezura

Open access · bronzeAbstract read
In one paragraph

Article in Breeding science, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
8.3field-weighted citation impact, top 3% 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

42 citing papers in PubMed, 97 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Genome editing ofBreeding science · 2024
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Plants (Basel, Switzerland) · 2023
    Article
  12. Article
  13. Parthenocarpic tomato mutants,Frontiers in plant science · 2023
    Article
  14. Article
  15. Review
  16. Article
  17. Advances in application of genome editing in tomato and recent development of genome editing technology.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
    Review
  18. Article
  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

3 authors at 1 institution in 1 country.

Tohru AriizumiFaculty of Life and Environmental Sciences, University of Tsukuba , 1-1-1 Tennno-dai, Tsukuba, Ibaraki 305-8572, Japan.
Yoshihito Shinozaki
Hiroshi Ezura
University of Tsukuba · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Yield is the most important breeding trait of crops. For fruit-bearing plants such as Solanum lycopersicum (tomato), fruit formation directly affects yield. The final fruit size depends on the number and volume of cell layers in the pericarp of the fruit, which is determined by the degree of cell division and expansion in the fertilized ovaries. Thus, fruit yield in tomato is predominantly determined by the efficiency of fruit set and the final cell number and size of the fruits. Through domestication, tomato fruit yield has been markedly increased as a result of mutations associated with fruit size and genetic studies have identified the genes that influence the cell cycle, carpel number and fruit set. Additionally, several lines of evidence have demonstrated that plant hormones control fruit set and size through the delicate regulation of genes that trigger physiological responses associated with fruit expansion. In this review, we introduce the key genes involved in tomato breeding and describe how they affect the physiological processes that contribute to tomato yield.

Indexed as

fruit sizeparthenocarpyplant hormonestomatoyield

Identifiers

PMID23641176
PMCPMC3621442
OpenAlexW1970082617

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.