Evidence map›Paper›PMID 38475424›Full record

ArticlePlants (Basel, Switzerland)2024

Assessing Amounts of Genetic Variability in Key Horticultural Traits Underlying Core Korean Breeding Lines of Cut Chrysanthemums.

Seung-Young Kim, Haying-Youl Lee, Chanrim Park, Daegwan Kim, Jung-Bun Kim, So-Hyun Kim, Kyeong-Jin Jeong, Ha-Seung Pak, Jae-A Jung, Tae-Sung Kim

Open access · goldAbstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Characterization and reproduction ofJournal of nematology · 2026
    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

10 authors at 3 institutions in 1 country.

Seung-Young KimDepartment of Agricultural and Life Sciences, Korea National Open University, Seoul 03087, Republic of Korea.ORCID 0009-0008-5251-224X
Haying-Youl LeeDepartment of Agricultural and Life Sciences, Korea National Open University, Seoul 03087, Republic of Korea.ORCID 0009-0003-1769-167X
Chanrim ParkDepartment of Bioinformatics & Statisitics, College of Natural Sciences, Korea National Open University, Seoul 03087, Republic of Korea.ORCID 0009-0000-2661-7111
Daegwan KimDNACARE, Seoul 06126, Republic of Korea.ORCID 0009-0008-5253-4537
Jung-Bun KimDepartment of Agricultural and Life Sciences, Korea National Open University, Seoul 03087, Republic of Korea.ORCID 0009-0007-7308-2042
So-Hyun KimDepartment of Agricultural and Life Sciences, Korea National Open University, Seoul 03087, Republic of Korea.ORCID 0009-0002-8687-0711
Kyeong-Jin JeongFlower Research Institute, Gyeongsangnam-do Agricultural Research & Extension Services, Changwon 51126, Republic of Korea.ORCID 0000-0001-7612-9298
Ha-Seung PakFlower Research Institute, Chungcheongnam-do Agricultural Research & Extension Services, Yesan 32425, Republic of Korea.ORCID 0000-0001-6364-8814
Jae-A JungFloriculture Research Division, National Institute of Horticultural and Herbal Science, Wanju-gun 55365, Republic of Korea.ORCID 0000-0002-4804-9634
Tae-Sung KimDepartment of Agricultural and Life Sciences, Korea National Open University, Seoul 03087, Republic of Korea.ORCID 0000-0001-7837-6479
Korea National Open University · KRGyeongsangnam-do Agricultural Research and Extension Services · KRDNACARE (South Korea) · KR

Funding

Rural Development Administration RS-2020-RD008817
6 · The paper itself

Abstract

The cut chrysanthemum holds one of the most substantial segments of the global floriculture market, particularly in Korea. We conducted a detailed assessment of the genetic structures across the cut chrysanthemum breeding lines in Korea. Using standard and spray chrysanthemum breeding lines from leading Korean research institutes, we first compared the variability of 12 horticultural traits, revealing a wide range of variation for most traits. We found that the overall flower diameter (OFD) and ray floret length (RFL) showed a solid positive relationship, regardless of the type. From a multivariate approach, OFD, RFL, and ray floret width (RFW) show consistently high association. Genotypic and phenotypic coefficients of variation analyses further indicated the significant genetic control over most traits. However, certain traits, like the volume of flowers (VF) in standard types, are more influenced by environments. Lastly, our analysis demonstrated substantial variability in broad-sense heritability (

Indexed as

breeding linesbreeding strategybroad-sense heritabilitycut chrysanthemumgenotypic coefficients of variationhorticultural traitsphenotypic coefficients of variationspray typestandard type

Identifiers

PMID38475424
PMCPMC10934664
OpenAlexW4391970975

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.