Evidence map›Paper›PMID 38891251›Full record

ArticlePlants (Basel, Switzerland)2024

Genome-Wide Association Analysis of Yield-Related Traits and Candidate Genes in Vegetable Soybean.

Hongtao Gao, Guanji Wu, Feifei Wu, Xunjun Zhou, Yonggang Zhou, Keheng Xu, Yaxin Li, Wenping Zhang, Kuan Zhao, Yan Jing and 3 more

Abstract 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 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. Frontiers in plant science · 2025
    Article
  5. 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

13 authors.

Hongtao GaoSchool of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication), Hainan University, Haikou 572025, China.
Guanji WuSchool of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication), Hainan University, Haikou 572025, China.
Feifei WuSchool of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication), Hainan University, Haikou 572025, China.
Xunjun ZhouSchool of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication), Hainan University, Haikou 572025, China.
Yonggang ZhouSchool of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication), Hainan University, Haikou 572025, China.
Keheng XuSchool of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication), Hainan University, Haikou 572025, China.
Yaxin LiSchool of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication), Hainan University, Haikou 572025, China.
Wenping ZhangSchool of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication), Hainan University, Haikou 572025, China.
Kuan ZhaoChangchun Academy of Agricultural Science, Changchun 130118, China.
Yan JingSchool of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication), Hainan University, Haikou 572025, China.
Chen FengSchool of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication), Hainan University, Haikou 572025, China.
Nan WangChangchun Academy of Agricultural Science, Changchun 130118, China.
Haiyan LiSchool of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication), Hainan University, Haikou 572025, China.

Funding

the Hainan Province Science and Technology Special Fund ZDYF2022XDNY142
6 · The paper itself

Abstract

Owing to the rising demand for vegetable soybean products, there is an increasing need for high-yield soybean varieties. However, the complex correlation patterns among quantitative traits with genetic architecture pose a challenge for improving vegetable soybean through breeding. Herein, a genome-wide association study (GWAS) was applied to 6 yield-related traits in 188 vegetable soybean accessions. Using a BLINK model, a total of 116 single nucleotide polymorphisms (SNPs) were identified for plant height, pod length, pod number, pod thickness, pod width, and fresh pod weight. Furthermore, a total of 220 genes were found in the 200 kb upstream and downstream regions of significant SNPs, including 11 genes encoding functional proteins. Among them, four candidate genes,

Indexed as

agronomic traitfresh pod heightGWASplant heightvegetable soybean

Identifiers

PMID38891251
PMCPMC11174663

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.