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

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

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Article in Molecular breeding : new strategies in plant improvement, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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6 authors.

Qiang Liu *Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, No.1 West Beichen Road, Chaoyang District, Beijing, 100101 P. R. China.

Yinyin Zhang *National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070 Hubei P. R. China.

Jiawei ShiNational Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070 Hubei P. R. China.

Wanneng YangNational Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070 Hubei P. R. China.

Hui FengNational Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070 Hubei P. R. China.ORCID 0000-0002-0570-5718

Weijuan HuInstitute of Genetics and Developmental Biology, Chinese Academy of Sciences, No.1 West Beichen Road, Chaoyang District, Beijing, 100101 P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 Supplementary Information: The online version contains supplementary material available at 10.1007/s11032-025-01609-6.

Indexed as

Bread wheatGenome-wide association studiesHyperspectral imagingNitrogen use efficiency

Identifiers

PMID41195245

DOI10.1007/s11032-025-01609-6

PMCPMC12583357

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