基于高光谱技术的病害早期胁迫下黄瓜叶片中过氧化物酶活性的研究

应用可见/近红外高光谱对细菌性角斑病早期胁迫下的黄瓜叶片中所含过氧化物酶（peroxidase, POD）活性进行检测。在380~1 030 nm光谱范围获取120个样本（健康, 病害轻微感染1级和2级）的光谱曲线, 并使用分光光度计法测量感染病害样本中的过氧化物酶活性值。采用单因素方差分析（analysis of variance, ANOVA）对三种不同程度早期病害胁迫下过氧化物酶活性值进行统计分析, 结果表明不同程度病害胁迫下黄瓜叶片中的过氧化物活性存在显著性差异（p=005）。采用SPXY方法将样本分为建模集（80个样本）与预测集（40个样本）。采用random frog（RF）和回归系数法（regression coefficient, RC）方法提取特征波段, 并建立过氧化物酶活性值的偏最小二乘回归（partial least square regression, PLSR）预测模型。最终得到RF-PLSR具有最佳的预测效果, 预测集相关系数为0816, 预测均方根误差为11235。研究结果表明高光谱结合化学计量学方法可以实现细菌性角斑病早期胁迫下黄瓜叶片中过氧化物酶活性的测定, 为植物病害的早期无损诊断提供参考。

Abstract

Visible/near-infrared hyper-spectra technique was applied to detect peroxidase (POD) content in cucumber leaves with early bacterial angular leaf-spot disease (BALD) stress. A total of 120 samples with three BALD infection stages were used to acquire with hyper-spectra with in the range of 380~1 030 nm (512 wavelengths) and corresponding POD content in the leaves were measured with spectrophotometer method. Analysis of variance (ANOVA) were applied to process statistical analysis of the measured POD content and results showed that there was significant difference (p=005) about the POD content in the cucumber leaves with the three stages of BALD stress. SPXY method was employed to divide the samples into a calibration set (n=80) and a prediction set (n=40). Random Frog (RF) and regression coefficient (RC) were used to select the characteristic wavelengths to reduce data dimensions. Partial least square regression (PLSR) was applied to develop the quantitative relationship between spectra and POD content. RF-PLSR was the optimal model to predict POD content with correlation coefficient (r) of 0816 with root mean squared error of prediction (RMSEP) of 11235. The result showed that hyper-spectra technique combined with chemometrics method was promising for detecting POD content in the cucumber leaves with different BALD developments. This study provided a theoretical reference for early detecting disease infection in non-destructive way.

参考文献

[1] FENG Lei, GAO Ji-xing, HE Yong, et al(冯雷, 高吉兴, 何勇, 等). Transactions of the Chinese Society for Agricultural Machinery(农业机械学报), 2013, 44(9): 169.

[2] LI Zheng, LIU Deng-yi, WANG Yu-peng, et al(李征, 刘登义, 王育鹏, 等). Journal of Anhui Normal University·Natural Science(安徽师范大学学报·自然科学版), 2006, 29(1): 70.

[3] LIANG Yan-rong, HU Xiao-hong, ZHANG Ying-li, et al(梁艳荣, 胡晓红, 张颖力, 等). Journal of Inner Mongolia Agricultural University·Natural Science Edition(内蒙古农业大学学报·自然科学版), 2003, 24(2): 110.

[4] Sankaran S, Mishra A, Ehsani R, et al. Computers and Electronics in Agriculture, 2010, 72: 1.

[5] YANG Yan, HE Yong(杨燕, 何勇). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报), 2013, 29(20): 135.

[6] XIE Chuan-qi, FENG Lei, FENG Bin, et al(谢传奇, 冯雷, 冯斌, 等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报), 2012, 28(18): 177.

[7] ZHANG Zhi-liang, QU Wei-jing, LI Xiao-fang(张志良, 瞿伟菁, 李小方). Plant Physiology Experiment(植物生理学实验指导). Beijing: Higher Education Press(北京: 高等教育出版社), 2009. 100.

[8] Liu D, Sun D W, Zeng X A. Food and Bioprocess Technology, 2014, 7(2): 307.

[9] Li H D, Xu Q S, Liang Y Z. Analytica Chimica Acta, 2012, 740: 20.

[10] Mehmood T, Liland K H, Snipen L, et al. Chemometrics and Intelligent Laboratory Systems, 2012, 118: 62.

[11] YU Ke-qiang, ZHAO Yan-ru, LI Xiao-li, et al(余克强, 赵艳茹, 李晓丽, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2015, 35(3): 746.

[12] Yu K Q, Zhao Y R, Li X L, et al. Plos One, 2014, 9: e116205.

[13] TAI Lian-mei, XU Yan-li, YAN Fen-yun(台莲梅, 许艳丽, 闫风云). Chinese Journal of Oil Crop Sciences(中国油料作物学报), 2008, 30(2): 249.

[14] Galval R K H, Araujo M C U, Jose G E, et al. Talanta, 2005, 67(4): 736.

[15] Carter G C. American Journal of Botany, 1993, 80(3): 239.

[16] Moshou D, Bravo C, Oberti R, et al. Biosystems Engineering, 2011, 108(4): 311.

[17] Penuelas J, Filella I, Biel C, et al. International Journal of Remote Sensing, 1993, 14(10): 1887.

程帆, 赵艳茹, 余克强, 楼兵干, 何勇. 基于高光谱技术的病害早期胁迫下黄瓜叶片中过氧化物酶活性的研究[J]. 光谱学与光谱分析, 2017, 37(6): 1861. CHENG Fan, ZHAO Yan-ru, YU Ke-qiang, LOU Bing-gan, HE Yong. Application of Hyper-Spectra for Detecting Peroxidase Content in Cucumber Leaves with Early Disease Stress[J]. Spectroscopy and Spectral Analysis, 2017, 37(6): 1861.

基于高光谱技术的病害早期胁迫下黄瓜叶片中过氧化物酶活性的研究

关于本站 Cookie 的使用提示

全站搜索

基于高光谱技术的病害早期胁迫下黄瓜叶片中过氧化物酶活性的研究

相关论文

相关资讯

关于本站 Cookie 的使用提示

全站搜索