Evidence map›Paper›PMID 40718772›Full record

ArticlePeerJ2025

A SNP-based genome-wide association study (GWAS) of seed-yield related traits in

Zhen Li, Tian Wang, Xiaomin Ren, Feng Han, Yingmei Ma, Lan Yun

Abstract read
In one paragraph

Article in PeerJ, 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.

  1. Article
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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

6 authors.

Zhen LiCollege of Grassland Science, Inner Mongolia Agricultural University, Inner Mongolia, China.
Tian WangBayannur Agriculture and Animal Husbandry, Inner Mongolia, China.
Xiaomin RenInner Mongolia University, Inner Mongolia, China.
Feng HanCollege of Grassland Science, Inner Mongolia Agricultural University, Inner Mongolia, China.
Yingmei MaCollege of Desert Control Science and Engineering, Inner Mongolia Agricultural University, Inner Mongolia, China.
Lan YunCollege of Grassland Science, Inner Mongolia Agricultural University, Inner Mongolia, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: The current study aimed to identify genetic signals associated with seed yield in Results: All the trait values varied considerably across genotypes. Across different locations, the coefficient of variation among genotypes was the highest for seed yield per plant, which exceeded 70%. Further correlation analysis of seed yield factors showed that seed yield per plant had a significant positive correlation with reproductive tiller number. The population exhibited five population structures (Q) assessed by using 84,024 single-nucleotide polymorphisms (SNPs). After controlling Q and K (subgroups), GWAS identified 121 SNPs significantly associated with eight traits. Among them, 19 SNPs were detected in multiple environments, and a total of 91 candidate genes were annotated, which involve the synthesis of cell wall polysaccharides and proteins, plant growth and development, photosynthesis, gibberellin regulation, hormone signal transduction, phenylalanine metabolism, and amino acid metabolism processes. The identification of SNP signals and related candidate genes could enrich the existing genomic resources and lay a foundation for the study of molecular breeding, mapping, and cloning of important genes in

Indexed as

Genome, PlantGenome-Wide Association StudyPoaceaePolymorphism, Single NucleotideSeedsTriticumGenotypePhenotypeQuantitative Trait LociGenome-wide association studyPsathyrostachys junceaSeed yield traitSNP

Identifiers

PMID40718772
PMCPMC12292311

What Socratic holds

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LicenceCC BY
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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 Socratic graph.