Evidence map›Paper›PMID 31152338›Full record

ArticleMolecular biology reports2019

Identification of quantitative trait loci associated with flowering time in perilla using genotyping-by-sequencing.

Yun-Joo Kang, Bo-Mi Lee, Moon Nam, Ki-Won Oh, Myoung-Hee Lee, Tae-Ho Kim, Sung-Hwan Jo, Jeong-Hee Lee

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular biology reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Improving the Traits ofPlants (Basel, Switzerland) · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Genome-editedFrontiers in plant science · 2023
    Article
  9. 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

8 authors at 2 institutions in 1 country.

Yun-Joo KangSEEDERS Inc., Daejeon, 34912, Republic of Korea.
Bo-Mi LeeSEEDERS Inc., Daejeon, 34912, Republic of Korea.
Moon NamSEEDERS Inc., Daejeon, 34912, Republic of Korea.
Ki-Won OhNational Institute of Crop Science, RDA, Miryang, 50424, Republic of Korea.
Myoung-Hee LeeNational Institute of Crop Science, RDA, Miryang, 50424, Republic of Korea.
Tae-Ho KimNational Academy of Agricultural Science, RDA, Wanju, 55365, Republic of Korea.
Sung-Hwan JoSEEDERS Inc., Daejeon, 34912, Republic of Korea. shjo@seeders.co.kr.
Jeong-Hee LeeSEEDERS Inc., Daejeon, 34912, Republic of Korea. jhlee@seeders.co.kr.ORCID http://orcid.org/0000-0003-3774-3417
Seeders (South Korea) · KRNational Academy of Agricultural Science · KR

Funding

Rural Development Administration PJ01335503
6 · The paper itself

Abstract

Understanding the transition to the reproductive period is important for crop breeding. This information can facilitate the production of novel varieties that are better adapted to local environments or changing climatic conditions. Here, we report the development of a high-density linkage map based on genotyping-by-sequencing (GBS) for the genus perilla. Through GBS library construction and Illumina sequencing of an F

Indexed as

Chromosome MappingFlowersGenetic LinkageGenotypeGenotyping TechniquesHigh-Throughput Nucleotide SequencingPerillaPhenotypePolymorphism, Single NucleotideQuantitative Trait LociSequence Analysis, DNACrop breedingFloweringGenotyping-by-sequencingLinkage mapOrthologs

Identifiers

PMID31152338
OpenAlexW2947907493

What OpenQuestion holds

Textmetadata
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.