Evidence map›Paper›PMID 37389296›Full record

ArticleFrontiers in plant science2023

Optimizing genomic selection of agricultural traits using K-wheat core collection.

Yuna Kang, Changhyun Choi, Jae Yoon Kim, Kyeong Do Min, Changsoo Kim

Abstract read
In one paragraph

Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. CountrywideFrontiers in plant science · 2025
    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

5 authors.

Yuna KangDepartment of Crop Science, Chungnam National University, Daejeon, Republic of Korea.
Changhyun ChoiWheat Research Team, National Institution Crop Sciences, Wanju-gun, Republic of Korea.
Jae Yoon KimDepartment of Plant Resources, Kongju National University, Yesan, Republic of Korea.
Kyeong Do MinDepartment of Plant Resources, Kongju National University, Yesan, Republic of Korea.
Changsoo KimDepartment of Crop Science, Chungnam National University, Daejeon, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The agricultural traits that constitute basic plant breeding information are usually quantitative or complex in nature. This quantitative and complex combination of traits complicates the process of selection in breeding. This study examined the potential of genome-wide association studies (GWAS) and genomewide selection (GS) for breeding ten agricultural traits by using genome-wide SNPs. As a first step, a trait-associated candidate marker was identified by GWAS using a genetically diverse 567 Korean (K)-wheat core collection. The accessions were genotyped using an Axiom

Indexed as

genome-wide association studygenomic breedingn-fold validationqualitative traitquantitative traitTriticum aestivum

Identifiers

PMID37389296
PMCPMC10303932

What OpenQuestion holds

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Registered trials

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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.