监测部位差异对黄龙病近红外预测模型的影响

doi:10.3964/j.issn.1000-0593(2020)08-2605-06

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Abstract The near-infrared models have been applied in huanglongbing detection and it has been proved to be feasible, but the present studies are limited to taking leaves as samples. The phloem of bark is a channel to transport pathogens and nutriment, it has been shown to play an important role in pathological initiation, progression and maintenance, so that we can detect huanglongbing in the early stages with the specific information of barks. In order to explore the feasibility of infrared spectroscopy based on the bark samples and analyze the influence of sampling position variability on near infrared models for huanglongbing, three kinds of sampling plan were designed in this paper: navel orange leaves, navel orange barks and composite samples (navel orange leaves and navel orange barks). Then, we established the prediction model of HLB (huanglongbing) with PLSR (partial least square regression) and PCR (principal component regression), when the normalization was turned out to be the optimal data preprocessing method. We found that the RMSEP (root mean squared error of prediction) are all at the level of 10^-5: RMSEPL (RMSEP of leaves, 1.690 9×10^-5) < RMSEPB (RMSEP of barks, 1.889 0×10^-5) < RMSEPC (RMSEP of composite samples, 1.690 9×10^-5)；and the r² (determination coefficient of prediction) are all greater than 0.9: r²_L (r² of leaves, 0.939 6) ＜r²_B (r² of barks, 0.941 5) ＜r²_C (r² of composite samples, 0.960 3). It means that all of the models have good accuracy and prediction ability. The model based on the leaves is the most accurate but the least predictive, and the model based on the composite samples is the least accurate but the most predictive. Only based on the barks can the accuracy and predictive ability of the model maintained at the mid-range level. In this study, the original spectra and model effects of leaves and barks were compared and analyzed, the feasibility of rapid infrared spectroscopy based on the bark samples was discussed, it provides a new idea for the application of near infrared in the diagnosis of huanglongbing.

Key words：Sampling position; Navel orange; Huanglongbing; Near infrared models; Nondestructive examination

Received: 2018-11-19 Accepted: 2019-07-18

ZTFLH:

O657.33

Corresponding Authors: LU Zhan-jun E-mail: luzhanjun7@139.com

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https://www.gpxygpfx.com/EN/10.3964/j.issn.1000-0593(2020)08-2605-06 OR https://www.gpxygpfx.com/EN/Y2020/V40/I08/2605