Evidence map›Paper›PMID 41491433›Full record

ArticleBMC plant biology2026

Genome-wide association analysis of wheat quality traits in Qinghai Province.

Xin Wang, Zhaomin Zhang, Wanwei Hou, Xiaojuan Zhang

Abstract read
In one paragraph

Article in BMC plant biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

4 authors.

Xin WangCollege of Eco-Environmental Engineering, Qinghai University, Qinghai Xining, 810016, China.
Zhaomin ZhangCollege of Eco-Environmental Engineering, Qinghai University, Qinghai Xining, 810016, China.
Wanwei HouQinghai Academy of Agriculture and Forestry Sciences, Qinghai Xining, 810016, China.
Xiaojuan ZhangCollege of Eco-Environmental Engineering, Qinghai University, Qinghai Xining, 810016, China. xiaojuan830136@163.com.

Funding

the Kunlun Talents, High-end Innovative Talents, and Cultivation of Top-notch Talents (Thousand Talents Pro-gram) Project of Qinghai Province. 2022
6 · The paper itself

Abstract

backgroundAs an important cereal crop in the world, quality research is crucial for wheat. It is necessary to further explore the quality genes of wheat and cultivate high-quality wheat to meet market demand.

resultsA green, environmentally friendly, high-speed and accurate near-infrared spectroscopy was used to determine wheat quality. Seven quality-related traits, including grain protein content, volume weight, wet gluten content, stability time, development time, grain hardness, and sedimentation value, were detected in 299 wheat samples from the Qinghai Province under six environments. Genome-wide association analysis was performed using 120 K SNP array data. Research has shown that various quality traits exhibit widespread variation in six environments, with the largest variation in sedimentation values ranging from 24.7% to 40.58%. The heritability of each trait is concentrated between 0.71 and 0.95. The results of genome-wide association analysis showed that there were 44 significantly stable loci (P < 0.001) detected, which was distributed on 17 wheat chromosomes, with a contribution rate of 3.86% -10.54%.

conclusionsA total of 44 significantly associated stable SNP loci and 8 multi-effect loci were obtained, and 15 candidate genes that may be related to wheat grain quality were obtained, mainly related to wheat growth and development, carbohydrate transformation and stress response. This study provides a theoretical basis for wheat quality improvement and new variety breeding.

Indexed as

Genome-Wide Association StudyTriticumChinaEdible GrainPhenotypePolymorphism, Single NucleotideQuantitative Trait Loci120K SNPCandidate geneGenome-wide association studyQuality traitsWheat

Identifiers

PMID41491433
PMCPMC12870066

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.