Detection of powdery mildew in two winter wheat cultivars using canopy hyperspectral reflectance

文献类型: 外文期刊

第一作者: Zhou, Yilin

作者: Zhou, Yilin;Duan, Xiayu;Cheng, Dengfa;Cao, Xueren;Luo, Yong

作者机构:

关键词: Canopy hyperspectral reflectance;Red edge;Vegetation indices;Disease index

期刊名称:CROP PROTECTION ( 影响因子:2.571; 五年影响因子:3.11 )

ISSN:

年卷期:

页码:

收录情况: SCI

摘要: To determine the most sensitive spectral parameters for powdery mildew detection, hyperspectral canopy reflectance spectra of two winter wheat cultivars with different susceptibilities to powdery mildew were measured at Feekes growth stage (GS) 10, 10.5, 10.5.3, 10.5.4 and 11.1 in 2007-2008 and 2008-2009 seasons. As disease indexes increased, reflectance decreased significantly in near infrared (NIR) regions and it was significantly correlated with disease index at GS 10.5.3, 10.5.4 and 11.1 for both cultivars in both seasons. For the two cultivars, red edge slope (dr(red)), the area of the red edge peak (Sigma dr(680-760) (nm)), difference vegetation index (DVI) and soil adjusted vegetation index (SAVI) were significantly negatively correlated with disease index at GS 10.5.3, 10.5.4 and 11.1 in both seasons. Compared with other parameters, Sigma dr(680-760) (nm) was the most sensitive parameter for powdery mildew detection. The regression models based on Sigma dr(680-760) (nm) were constructed at GS 10.5.3, 10.5.4 and 11.1 in both seasons. These results indicated that canopy hyperspectral reflectance can be used in wheat powdery mildew detection in the absence of other stresses resulting in unhealthy symptoms. Therefore, disease management strategies can be applied when it is necessary based on canopy hyperspectral reflectance data

分类号: S43

  • 相关文献

[1]Quantitative Trait Locus Mapping for Verticillium wilt Resistance in an Upland Cotton Recombinant Inbred Line Using SNP-Based High Density Genetic Map. Palanga, Koffi Kibalou. 2017

[2]Comparative Research on Estimating the Severity of Yellow Rust in Winter Wheat. Wang Jing,Jing Yuan-shu,Zhao Juan,Wang Jing,Huang Wen-jiang,Zhang Qing,Wang Li,Zhang Jing-cheng. 2015

[3]Estimation of rice neck blasts severity using spectral reflectance based on BP-neural network. Zhang, Hao,Zhu, Lian-feng,Jin, Qian-yu,Zhang, Hao,Hu, Hao,Zhang, Xiao-bin,Zheng, Ke-feng,Zhang, Xiao-bin,Zeng, Fu-ping. 2011

[4]Assessment of partial resistance to powdery mildew in Chinese wheat varieties. Yu, DZ,Yang, XJ,Yang, LJ,Jeger, MJ,Brown, JKM. 2001

[5]Analysis of Changes in Agronomic Parameters and Disease Index of Rapeseed Leaf Leukoplakia Based on Spectra. Fu, Kunya,Fu, Kunya,Cao, Hongxin,Zhang, Wenyu,Zhang, Weixin,Ge, Daokuo,Liu, Yan,Feng, Chunhuan,Chen, Weitao. 2016

[6]MONITORING WINTER WHEAT MATURITY BY HYPERSPECTRAL VEGETATION INDICES. Wang, Qian,Huang, Yuanfang,Wang, Qian,Li, Cunjun,Wang, Jihua,Song, Xiaoyu,Huang, Wenjiang. 2012

[7]Evaluating Multispectral and Hyperspectral Satellite Remote Sensing Data for Estimating Winter Wheat Growth Parameters at Regional Scale in the North China Plain. Koppe, Wolfgang,Gnyp, Martin L.,Bareth, Georg,Koppe, Wolfgang,Chen, Xinping,Zhang, Fusuo,Li, Fei,Miao, Yuxin,Miao, Yuxin. 2010

[8]Multi-Temporal Hyperspectral and Radar Remote Sensing for Estimating Winter Wheat Biomass in the North China Plain. Hennig, Simon D.,Koppe, Wolfgang,Gnyp, Martin L.,Bareth, Georg,Chen, Xinping,Li, Fei,Miao, Yuxin,Jia, Liangliang. 2012

[9]New Vegetation Index Fusing Visible-Infrared and Shortwave Infrared Spectral Feature for Winter Wheat LAI Retrieval. Li Xin-chuan,Xu Xin-gang,Jin Xiu-liang,Zhang Jing-cheng,Song Xiao-yu,Li Xin-chuan,Xu Xin-gang,Jin Xiu-liang,Zhang Jing-cheng,Song Xiao-yu,Li Xin-chuan,Bao Yan-song. 2013

[10]Mapping tropical forests and deciduous rubber plantations in Hainan Island, China by integrating PALSAR 25-m and multi-temporal Landsat images. Chen, Bangqian,Li, Xiangping,Xiao, Xiangming,Zhao, Bin,Chen, Bangqian,Yang, Chuan,Wu, Zhixiang,Sun, Rui,Lan, Guoyu,Xie, Guishui,Xiao, Xiangming,Dong, Jinwei,Qin, Yuanwei,Xiao, Xiangming,Dong, Jinwei,Qin, Yuanwei,Kou, Weili. 2016

[11]Examining view angle effects on leaf N estimation in wheat using field reflectance spectroscopy. Song, Xiao,Feng, Wei,He, Li,Zhang, Hai-Yan,Li, Xiao,Wang, Chen-Yang,Guo, Tian-Cai,Song, Xiao,Xu, Duanyang,Wang, Zhi-Jie,Coburn, Craig A..

[12]Comparative analysis of GF-1, HJ-1, and Landsat-8 data for estimating the leaf area index of winter wheat. Li He,Chen Zhong-xin,Jiang Zhi-wei,Wu Wen-bin,Ren Jian-qiang,Liu Bin,Hasi, Tuya,Jiang Zhi-wei,Hasi, Tuya. 2017

[13]Estimation of nitrogen status in middle and bottom layers of winter wheat canopy by using ground-measured canopy reflectance. Wang, ZJ,Wang, JH,Liu, LY,Huang, WJ,Zhao, CJ,Lu, YL. 2005

[14]Estimating N status of winter wheat using a handheld spectrometer in the North China Plain. Li, Fei,Jia, Liangliang,Miao, Yuxin,Yu, Zihui,Chen, Xinping,Zhang, Fusuo,Li, Fei,Gnyp, Martin L.,Koppe, Wolfgang,Bareth, Georg,Jia, Liangliang. 2008

[15]Nitrogen Status Estimation of Winter Wheat by Using an IKONOS Satellite Image in the North China Plain. Yu, Zihui,Li, Fei,Miao, Yuxin,Chen, Xinping,Zhang, Fusuo,Jia, Liangliang,Gnyp, Martin,Koppe, Wolfgang,Bareth, Georg. 2012

[16]Variations in crop variables within wheat canopies and responses of canopy spectral characteristics and derived vegetation indices to different vertical leaf layers and spikes. Li, Hell,Zhao, Chunjiang,Yang, Guijun,Feng, Haikuan.

作者其他论文 更多>>