Evidence map›Paper›PMID 41600114›Full record

ArticlePlants (Basel, Switzerland)2026

Uncovering the Genetic Basis of Grain Protein Content and Wet Gluten Content in Common Wheat (

Quanhao Song, Wenwen Cui, Zhanning Gao, Jiajing Song, Shuaishuai Wang, Hongzhen Ma, Liang Chen, Kaijie Xu, Yan Jin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Plants (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Quanhao SongZhumadian Academy of Agricultural Sciences, Henan Provincial Engineering Research Center for Germplasm Improvement and Breeding of Multi-Resistant and High-Efficiency Wheat, Zhumadian 463000, China.
Wenwen CuiZhumadian Academy of Industry Innovation and Development, Huanghuai University, Zhumadian 463000, China.
Zhanning GaoZhumadian Academy of Agricultural Sciences, Henan Provincial Engineering Research Center for Germplasm Improvement and Breeding of Multi-Resistant and High-Efficiency Wheat, Zhumadian 463000, China.
Jiajing SongZhumadian Academy of Agricultural Sciences, Henan Provincial Engineering Research Center for Germplasm Improvement and Breeding of Multi-Resistant and High-Efficiency Wheat, Zhumadian 463000, China.
Shuaishuai WangZhumadian Academy of Agricultural Sciences, Henan Provincial Engineering Research Center for Germplasm Improvement and Breeding of Multi-Resistant and High-Efficiency Wheat, Zhumadian 463000, China.
Hongzhen MaZhumadian Academy of Agricultural Sciences, Henan Provincial Engineering Research Center for Germplasm Improvement and Breeding of Multi-Resistant and High-Efficiency Wheat, Zhumadian 463000, China.
Liang ChenState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Collage of Agronomy, Northwest A&F University, Yangling 712100, China.
Kaijie XuInstitute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455100, China.
Yan JinZhumadian Academy of Agricultural Sciences, Henan Provincial Engineering Research Center for Germplasm Improvement and Breeding of Multi-Resistant and High-Efficiency Wheat, Zhumadian 463000, China.ORCID 0009-0009-7469-1602

Funding

Henan Province Central Guided Local Science and Technology Development Funding Program Z20231811144Science and Technology Tackling in Henan Province 242102111149Strategic Village Development Initiative 1610162023009Zhumadian City Science and Technology Innovation Youth Special Project QNZX202320
6 · The paper itself

Abstract

Improving wheat processing quality is a crucial objective in modern wheat breeding. Among various quality parameters, grain protein content (GPC) and wet gluten content (WGC) significantly influence the end-use quality of flour. These traits are controlled by multiple minor effect genes and highly influenced by environmental factors. Identifying stable and major-effect genetic loci and developing breeder-friendly molecular markers are of great significance for breeding high-quality wheat varieties. In this study, we evaluated the GPC and WGC of 310 diverse wheat varieties, mainly from China and Europe, across four environments. Genotyping was performed using the wheat 100K SNP chip, and genome-wide association analysis (GWAS) was employed to identify stable loci with substantial effects. In total, four loci for GPC were identified on chromosomes 1A, 3A, 3B, and 4B, with explained phenotypic variation (PVE) ranging from 6.0 to 8.4%. In addition, three loci for WGC were identified on chromosomes 4B, 5A, and 5D, which explained 7.0-10.0% of the PVE. Among these, three loci coincided with known genes or quantitative trait loci (QTL), whereas

Indexed as

common wheatGWASKASPprocessing qualitySNP

Identifiers

PMID41600114
PMCPMC12845272

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.