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<p>Unraveling the genetic architecture of nitrogen response of development is critical for improving wheat productivity while reducing nitrogen inputs. In this study, hyperspectral imaging (HSI) was applied to wheat grains obtained from nitrogen-deficient and normal conditions, combined with genome-wide association studies (GWAS), to investigate the nitrogen response of development in a diverse wheat panel. The 1,792 i-traits were acquired via hyperspectral imaging system, which reflect detailed phenotypic assessments of wheat development, capturing subtle variations in nitrogen response. A total of 3,556 significant loci and 3,648 candidate genes were identified. Key candidate genes involved in nitrogen uptake and utilization were identified by integrating agronomic traits with i-traits, including <i>TaARE1-7A, TaPTR9-7B, TaNAR2.1,</i> and <i>Rht-B1</i>. This approach underscores the potential of combining HSI on grains with GWAS to dissect complex traits like nitrogen response, offering valuable genetic insights for breeding nitrogen-efficient wheat varieties and enhancing sustainability in crop production.</p>

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Hyperspectral imaging of grains uncovers the genetic architecture of nitrogen response of development in bread wheat

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年11月3日

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  • Qiang Liu,
  • Yinyin Zhang,
  • Jiawei Shi,
  • Wanneng Yang,
  • Hui Feng,
  • Weijuan Hu

摘要

Unraveling the genetic architecture of nitrogen response of development is critical for improving wheat productivity while reducing nitrogen inputs. In this study, hyperspectral imaging (HSI) was applied to wheat grains obtained from nitrogen-deficient and normal conditions, combined with genome-wide association studies (GWAS), to investigate the nitrogen response of development in a diverse wheat panel. The 1,792 i-traits were acquired via hyperspectral imaging system, which reflect detailed phenotypic assessments of wheat development, capturing subtle variations in nitrogen response. A total of 3,556 significant loci and 3,648 candidate genes were identified. Key candidate genes involved in nitrogen uptake and utilization were identified by integrating agronomic traits with i-traits, including TaARE1-7A, TaPTR9-7B, TaNAR2.1, and Rht-B1. This approach underscores the potential of combining HSI on grains with GWAS to dissect complex traits like nitrogen response, offering valuable genetic insights for breeding nitrogen-efficient wheat varieties and enhancing sustainability in crop production.