贾佳, 汪欢, 段明明, 等. 大豆核心种质籽粒铁、锌含量精准鉴定及相关性分析[J]. 华南农业大学学报, 2023, 44(5): 760-768. DOI: 10.7671/j.issn.1001-411X.202211004
    引用本文: 贾佳, 汪欢, 段明明, 等. 大豆核心种质籽粒铁、锌含量精准鉴定及相关性分析[J]. 华南农业大学学报, 2023, 44(5): 760-768. DOI: 10.7671/j.issn.1001-411X.202211004
    JIA Jia, WANG Huan, DUAN Mingming, et al. Accurate identification and correlation analysis of iron and zinc contents in soybean core accessions[J]. Journal of South China Agricultural University, 2023, 44(5): 760-768. DOI: 10.7671/j.issn.1001-411X.202211004
    Citation: JIA Jia, WANG Huan, DUAN Mingming, et al. Accurate identification and correlation analysis of iron and zinc contents in soybean core accessions[J]. Journal of South China Agricultural University, 2023, 44(5): 760-768. DOI: 10.7671/j.issn.1001-411X.202211004

    大豆核心种质籽粒铁、锌含量精准鉴定及相关性分析

    Accurate identification and correlation analysis of iron and zinc contents in soybean core accessions

    • 摘要:
      目的 针对中国居民因铁、锌等微量元素摄取不足引发的营养不良问题,开展大豆核心种质籽粒铁、锌含量的精准鉴定。
      方法 以国内外来源不同的163份大豆核心种质为材料,2019—2020年种植于华南农业大学试验教学基地,采用火焰原子吸收光谱仪测定籽粒铁和锌的含量,并进行相关性分析。
      结果 大豆种质籽粒铁、锌含量在年份间存在显著差异(P<0.05);籽粒铁质量分数为71.02~159.92 mg·kg−1,平均为107.09 mg·kg−1;籽粒锌质量分数为36.32~53.11 mg·kg−1,平均为42.80 mg·kg−1。相关性分析发现,不同年份间籽粒铁与锌含量存在正相关关系,说明这2个元素在大豆籽粒吸收中存在较强的相互促进关系。利用概率分级法将163份大豆种质籽粒铁、锌元素含量分为5级(即极低、低、中、高和极高),综合分析筛选出4份高铁含量、4份高锌含量、5份低铁含量、6份低锌含量和2份铁锌含量双高的大豆种质。
      结论 鉴定出多份不同来源的高/低铁、锌含量的大豆种质,可用于富铁、锌大豆新品种的选育和种质创新,同时也为营养功能型新品种遗传基础解析提供基础材料,加快推动大豆核心种质在华南地区的开发与利用。

       

      Abstract:
      Objective Aiming at the malnutrition problem caused by iron (Fe) and zinc (Zn) minerals deficiency for Chinese people, it is significant to conduct the accurate identification of Fe and Zn contents in soybean core accessions.
      Method The 163 domestic and foreign soybean core accessions were planted in teaching base of South China Agricultural University consecutively in the early season from 2019 to 2020. The contents of two trace elements of Fe and Zn in the sample grains, were measured by flame atomic absorption spectrometer method, and the correlation analysis was carried out.
      Result There were significant differences in the contents of two trace elements between the test years (P<0.05). The variation range of grain Fe content of soybean germplasm resources in two years was 71.02−147.91 mg·kg−1, the average Fe content was 107.09 mg·kg−1, and the variation range of grain Zn content was 36.32−53.11 mg·kg−1, the average content of Zn was 42.80 mg·kg−1. There was a positive correlation between Fe and Zn contents in grains of 163 soybean lines from different sources in different years, indicating that there was a strong mutual promotion between two elements. The mineral contents of 163 soybean accessions were divided into five grades by probability grading method, namely extremely low, low, medium, high and very high. And four soybean accessions with high Fe content, four with high Zn content, five with low Fe content, six with low Zn content and two with high Fe and Zn contents were screened out.
      Conclusion The soybean core accessions screened with high/low Fe and Zn content in this study can not only be used for breeding new accessions rich in Fe and Zn content, but also provide the valuable materials for elucidating the genetic basis of functional and new nutrition accessions, and accelerate the use of soybean core accessions and promote the development of soybean production in the South China area.

       

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