Evidence map›Paper›PMID 40777061›Full record

ArticleFrontiers in plant science2025

Genome-wide association analysis of wheat stem traits using 55K microarrays.

Wei Wang, Na Sun, Kai Zhao, JiKun Song, Hui Fang, Guiqiang Fan, Yonghong Gao, Tianrong Huang, Yindeng Ding

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 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

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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.

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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.

Wei Wang *School of Computer Science and Information Engineering, Anyang Institute of Technology, Anyang, China.
Na Sun *Yili Prefecture Institute of Agricultural Science, Yining, China.
Kai ZhaoSchool of Computer Science and Information Engineering, Anyang Institute of Technology, Anyang, China.
JiKun SongCotton Research Institute, Chinese Academy of Agricultural Sciences, AnYang, China.
Hui FangInstitute of Crops, Xinjiang Academy of Agricultural Sciences, Xinjiang, China.
Guiqiang FanInstitute of Crops, Xinjiang Academy of Agricultural Sciences, Xinjiang, China.
Yonghong GaoInstitute of Crops, Xinjiang Academy of Agricultural Sciences, Xinjiang, China.
Tianrong HuangInstitute of Crops, Xinjiang Academy of Agricultural Sciences, Xinjiang, China.
Yindeng DingInstitute of Crops, Xinjiang Academy of Agricultural Sciences, Xinjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wheat lodging poses a severe threat to yield and quality, with the morphological and structural traits of the basal second internode being critical determinants of stem strength and lodging resistance. We conducted phenotypic analysis on 239 wheat varieties (lines) collected from around the world. This analysis was complemented by genotyping using the wheat 55K SNP chip. Genome-wide association analysis (GWAS) was executed employing the MLM (Q+K) algorithm within the TASSLE software suite. The findings unveiled pronounced phenotypic variability in the stem diameter of the second internode across disparate temporal intervals, characterized by a coefficient of variation spanning from 11.31% to 13.95%, alongside robust inter-year correlations. Furthermore, the genome-wide linkage disequilibrium (LD) decay distance was ascertained to 3 Mb. Analyses of population structure, phylogenetic dendrograms, and principal components revealed that the intrinsic population structure of the 239 wheat varieties (lines) was markedly simplified, segregating into three discernible subgroups. GWAS analysis identified 118 SNPs significantly associated with the stem diameter of the second internode

Indexed as

candidate genescollapseGWASstem thicknesswheat

Identifiers

PMID40777061
PMCPMC12328309

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