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花生籽仁蔗糖含量近红外光谱快速测定方法研究

赵星 张嘉楠 张一鸣 金欣欣 苏俏 宋亚辉 李玉荣 王瑾

中国油料作物学报2025,Vol.47Issue(1):226-233,8.
中国油料作物学报2025,Vol.47Issue(1):226-233,8.DOI:10.19802/j.issn.1007-9084.2023251

花生籽仁蔗糖含量近红外光谱快速测定方法研究

Rapid determination of sucrose content in peanut kernel by near infrared spectroscopy

赵星 1张嘉楠 2张一鸣 3金欣欣 4苏俏 4宋亚辉 4李玉荣 4王瑾4

作者信息

  • 1. 河北省农林科学院粮油作物研究所/河北省作物遗传育种重点实验室,河北 石家庄,050035||石家庄博瑞迪生物技术有限公司,河北 石家庄,050035||石家庄学院化工学院药物分析教研室,河北 石家庄,050035
  • 2. 石家庄博瑞迪生物技术有限公司,河北 石家庄,050035
  • 3. 石家庄学院化工学院药物分析教研室,河北 石家庄,050035
  • 4. 河北省农林科学院粮油作物研究所/河北省作物遗传育种重点实验室,河北 石家庄,050035
  • 折叠

摘要

Abstract

In this study,recombinant inbred line populations were used to establish a rapid near-infrared spec-troscopy method for determining sucrose content with a wide detection range and suitable for screening excellent in-dividual plants.This study used high performance liquid chromatography combined with differential refractive in-dex technology to determine the sucrose content of 325 materials.The near-infrared spectra were collected using a Perten DA7200 near-infrared analyzer,and a near-infrared prediction model for sucrose content on small sample cup with 18-23 peanut kernels was constructed using partial least squares method.The results showed that the pre-diction range of the model for sucrose content in peanut kernels was 2.07%~12.37%,with a determination coeffi-cient of 0.9054 and a root mean square error of 0.6774.The model was externally validated using 20 materials,and the independent test set decision coefficient was 0.9478.This model predicts the sucrose content of peanut kernels accurately,which can achieve rapid and non-destructive determination of sucrose content per plant in early hybrid generations,and improve the breeding efficiency of high sucrose content peanut varieties.

关键词

花生籽仁/蔗糖含量/HPLC-RID/近红外预测模型

Key words

peanut kernel/sucrose content/HPLC-RID/near infrared prediction model

分类

农业科技

引用本文复制引用

赵星,张嘉楠,张一鸣,金欣欣,苏俏,宋亚辉,李玉荣,王瑾..花生籽仁蔗糖含量近红外光谱快速测定方法研究[J].中国油料作物学报,2025,47(1):226-233,8.

基金项目

国家现代农业产业技术体系(CARS-14) (CARS-14)

河北省现代农业产业技术体系油料创新团队(HBCT2023030205) (HBCT2023030205)

花生现代种业科技创新团队(21326316D) (21326316D)

河北省农林科学院现代农业科技创新工程(2022KJCXZX-LYS-11) (2022KJCXZX-LYS-11)

石家庄市科学技术研究与发展计划项目(211490122A) (211490122A)

中国油料作物学报

OA北大核心

1007-9084

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