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

doi:10.3969/j.issn.1004-1524.2019.03.12

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

• Plant Protection • Previous Articles Next Articles

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

MENG Youqing¹, WENG Haiyong^2,3, CEN Haiyan^2,3,*, LI Hongye⁴, HE Yong^2,3

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

Abstract

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

CLC Number:

S436.661

MENG Youqing, WENG Haiyong, CEN Haiyan, LI Hongye, HE Yong. Carbohydrate metabolism and near-infrared spectral characteristics in asymptomatic Huang-longbing infected leaves[J]. , 2019, 31(3): 428-435.

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

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