浙江农业学报 ›› 2019, Vol. 31 ›› Issue (3): 428-435.DOI: 10.3969/j.issn.1004-1524.2019.03.12

• 植物保护 • 上一篇    下一篇

潜伏期柑橘黄龙病宿主糖代谢及近红外光谱特征

孟幼青1, 翁海勇2,3, 岑海燕2,3,*, 李红叶4, 何勇2,3   

  1. 1.浙江省植物保护检疫局,浙江 杭州 310020;
    2.浙江大学 生物系统工程与食品科学学院,浙江 杭州 310058;
    3.农业农村部光谱检测重点实验室,浙江 杭州310058;
    4.浙江大学 农业与生物技术学院,浙江 杭州 310058
  • 收稿日期:2018-07-23 出版日期:2019-03-25 发布日期:2019-04-08
  • 通讯作者: *岑海燕,Email:hycen@zju.edu.cn
  • 作者简介:孟幼青(1963—),女,浙江诸暨人,高级农艺师,主要从事柑橘检疫性有害生物研究。E-mail: yqmeng_77@163.com
  • 基金资助:
    浙江省重点研发计划(2015C02007)

Carbohydrate metabolism and near-infrared spectral characteristics in asymptomatic Huang-longbing infected leaves

MENG Youqing1, WENG Haiyong2,3, CEN Haiyan2,3,*, LI Hongye4, HE Yong2,3   

  1. 1. Plant Protection and Quarantine Bureau of Zhejiang, Hangzhou 310020, China;
    2. College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China;
    3. Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture and Rural Affairs, Hangzhou 310058, China;
    4. College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China
  • Received:2018-07-23 Online:2019-03-25 Published:2019-04-08

摘要: 柑橘黄龙病(Citrus Huanglongbing)是柑橘最具有毁灭性的病害,传染性极强,严重影响柑橘产业的健康发展。及时发现潜伏期未显症的病树并挖除,能够更加有效地阻碍黄龙病的传播。为此,特研究潜伏期染病叶片的糖代谢以及叶片组织光学特性的变化规律。结果表明,淀粉、蔗糖、葡萄糖和果糖在染病未显症叶片中已经出现了异常累积,分别是健康叶片的3.58、2.16、3.41、1.70倍,同时,近红外光谱的反射率出现了升高的趋势。进一步采用Random Frog算法选择前6个敏感波段(1 015、1 331、1 065、1 334、1 022、951 nm),并结合Naïve Bayes(NB)模型对潜伏期未显症柑橘黄龙病叶片进行判别,得到了97.5%的分类正确率,对阳性样本的漏检率为0,说明采用近红外高光谱技术能够实现对未显症柑橘黄龙病的检测,可为田间柑橘黄龙病的快速普查提供新的方法。

关键词: 柑橘黄龙病, 糖代谢, 近红外高光谱

Abstract: Citrus Huanglongbing (HLB) is one of the most devastating diseases to citrus production, and can spread to various citrus species. It is necessary to establish a more efficient way to detect HLB disease and then timely remove the infection source in latent period. This research was aimed to investigate the impact of bacterium on host carbohydrate metabolism and the potential of hyperspectral imaging for citrus HLB disease in latent period. The results showed that starch, sucrose, glucose and fructose were excessively accumulated in HLB infected leaves with 3.58, 2.16, 3.41 and 1.70 times, respectively as high as to those in healthy samples. In addition, an increasing reflectance of citrus leaves in near-infrared region was observed when subjected to HLB infection. Six sensitive wavelengths (1 015, 1 331, 1 065, 1 334, 1 022 and 951 nm) were selected by Random Frog, and Naïve Bayes (NB) classifier was used for differentiating asymptomatic HLB infected leaves from healthy ones with the overall classification accuracy of 97.5% and the false negative rate of 0. These results demonstrated the feasibility of near-infrared hyperspectral imaging for HLB disease detection in the asymptomatic period.

Key words: citrus Huanglongbing, carbohydrate metabolism, near-infrared hyperspectral imaging

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