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Background <p>As 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.</p> Results <p>A 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&#xa0;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 (<i>P</i> &lt; 0.001) detected, which was distributed on 17 wheat chromosomes, with a contribution rate of 3.86% -10.54%.</p> Conclusions <p>A 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.</p>

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

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年1月5日

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  • Xin Wang,
  • Zhaomin Zhang,
  • Wanwei Hou,
  • Xiaojuan Zhang

摘要

Background

As 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.

Results

A 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%.

Conclusions

A 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.