Evidence map›Paper›PMID 41090096›Full record

ArticleFrontiers in plant science2025

Genome wide association analysis for biomass related traits in common vetch (

Hui Jin, Jumei Zhang, Yordan Dimtrov, Xue Yang, Ruonan Du, Yu-E Wu, Danna Chang, Rui Zhang, Haibin Zhao

Abstract read
In one paragraph

Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

9 authors.

Hui JinInstitute of Forage and Grassland Sciences, Heilongjiang Academy of Agricultural Sciences, Harbin, China.
Jumei ZhangInstitute of Forage and Grassland Sciences, Heilongjiang Academy of Agricultural Sciences, Harbin, China.
Yordan DimtrovInstitute of Forage and Grassland Sciences, Heilongjiang Academy of Agricultural Sciences, Harbin, China.
Xue YangInstitute of Forage and Grassland Sciences, Heilongjiang Academy of Agricultural Sciences, Harbin, China.
Ruonan DuInstitute of Forage and Grassland Sciences, Heilongjiang Academy of Agricultural Sciences, Harbin, China.
Yu-E WuInstitute of Forage and Grassland Sciences, Heilongjiang Academy of Agricultural Sciences, Harbin, China.
Danna ChangInstitute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China.
Rui ZhangInstitute of Forage and Grassland Sciences, Heilongjiang Academy of Agricultural Sciences, Harbin, China.
Haibin ZhaoInstitute of Forage and Grassland Sciences, Heilongjiang Academy of Agricultural Sciences, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Common vetch ( Materials and methods: To identify loci significantly associated with biomass related traits, a genome-wide association study (GWAS) was perdormed in 172 common vetch accessions mainly from China and Europe. The single nucleotide polymorphisms (SNPs) were obtained through re-sequencing, while five biomass related traits, including the fresh weight (FW), dry weight (DW), fresh weight per plant (PFW), dry weight per plant (PDW) and plant height (PH), were evaluated across four environments. Results: In total, 33 loci were identified, and explain 11.6-22.5% of the phenotypic variances. Notably, among them, Discussion: This study enhances our understanding of the genetic architecture of biomass related traits and provides available novel loci, molecular tools and outstanding varieties for improving common vetch biomass in future breeding.

Indexed as

association analysisdry weightfresh weightgmarker-assisted selection (MAS)Vicia sativa L

Identifiers

PMID41090096
PMCPMC12515951

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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.