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

文献类型: 外文期刊

作者: Cao, Xueren 2 ; Luo, Yong 3 ; Zhou, Yilin 1 ; Duan, Xiayu 1 ; Cheng, Dengfa 1 ;

作者机构: 1.Chinese Acad Agr Sci, Inst Plant Protect, State Key Lab Biol Plant Dis & Insect Pests, Beijing 100193, Peoples R China

2.Chinese Acad Trop Agr Sci, Environm & Plant Protect Inst, Key Lab Integrated Pest Management Trop Crops, Minist Agr, Danzhou 571737, Peoples R China

3.China Agr Univ, Dept Plant Pathol, Beijing 100193, Peoples R China

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:

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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

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