Evidence map›Paper›PMID 29681744›Full record

ReviewBreeding science2018

Development of basic technologies for improvement of breeding and cultivation of Japanese gentian.

Masahiro Nishihara, Keisuke Tasaki, Nobuhiro Sasaki, Hideyuki Takahashi

Abstract readReview
In one paragraph

Review in Breeding science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. PhytoKeys · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Isolation and Functional Analysis ofInternational journal of molecular sciences · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

4 authors.

Masahiro NishiharaIwate Biotechnology Research Center, 22-174-4 Narita, Kitakami, Iwate 024-0003, Japan.
Keisuke TasakiIwate Biotechnology Research Center, 22-174-4 Narita, Kitakami, Iwate 024-0003, Japan.
Nobuhiro SasakiToyo University, 1-1-1 Izumino, Itakura-machi, Ora-gun, Gunma 374-0193, Japan.
Hideyuki TakahashiIwate Biotechnology Research Center, 22-174-4 Narita, Kitakami, Iwate 024-0003, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Japanese gentians are the most important ornamental flowers in Iwate Prefecture and their breeding and cultivation have been actively conducted for half a century. With its cool climate and large hilly and mountainous area, more than 60% of gentian production in Japan occurs in Iwate Prefecture. Recent advances in gentian breeding and cultivation have facilitated the efficient breeding of new cultivars; disease control and improved cultivation conditions have led to the stable production of Japanese gentians. Molecular biology techniques have been developed and applied in gentian breeding, including the diagnosis of viral diseases and analysis of physiological disorders to improve gentian production. This review summarizes such recent approaches that will assist in the development of new cultivars and support cultivation. More recently, new plant breeding techniques, including several new biotechnological methods such as genome editing and viral vectors, have also been developed in gentian. We, therefore, present examples of their application to gentians and discuss their advantages in future studies of gentians.

Indexed as

breedingcultivationDNA markerGentiana scabraGentian triflorametabolomenew plant breeding techniques

Identifiers

PMID29681744
PMCPMC5903972

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.