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Research of Influence Factors on Spectral Recognition for Cotton Leaf Infected by Verticillium wilt

文献类型： 外文期刊

作者： Chen Bing 1 ; Wang Fang-yong 1 ; Han Huan-yong 1 ; Liu Zheng 1 ; Xiao Chun-hua 2 ; Zou Nan 2 ;

作者机构： 1.Xinjiang Acad Agr & Reclamat Sci, Cotton Inst, Northwest Inland Reg Key Lab Cotton Biol & Genet, Minist Agr, Shihezi 832000, Peoples R China

2.Shihezi Univ, Key Lab Oasis Ecol Agr Xinjiang Corps, Shihezi 832003, Peoples R China

关键词： Cotton;Disease stress;Spectra recognition;Measure method;Influence factors

期刊名称：SPECTROSCOPY AND SPECTRAL ANALYSIS （ 影响因子：0.589； 五年影响因子：0.504 ）

ISSN： 1000-0593

年卷期： 2014 年 34 卷 3 期

页码：

收录情况： SCI

摘要： Through carrying out spectral test experiment, the influence factors of spectrum test were analyzed, the influence degree of various factors in spectral recognition was explicated and the method of spectra test was optimized for cotton leaf infected by verticillium wilt. The results indicated that under different severity levels, the shape and value of reflectance of disease symptoms part were Significantly higher than healthy part on cotton leaf, compared with the black board as baseboard, the spectral values of disease leaves were slightly higher in visible light wavebands and significantly higher in others wavebands than healthy leaves on white baseboard. Different position of leaf on cotton plant has different effect degree to the recognition of disease, the effect of stem leaf was more obvious than that of else leaf, the identical leaf position was less influenced by disease than that of others. The effect of healthy leaf was smaller than disease leaf. The reflectance of leaf back was higher than front in visible light waveband, from high to flat, and then low in near infrared waveband, and from high to low to in short infrared waveband. Test time and cotton varieties had less influence on recognizing disease by spectra, and the effect of the same condition was acceptable. Test site had no effect on disease recognition by spectra. The effect of each factor was different for recognizing disease leaf by spectra, and this study will provide reference for the researchers of crop disease diagnosis by spectra.

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[1]Fine mapping of clustered quantitative trait loci for fiber quality on chromosome 7 using a Gossypium barbadense introgressed line. Cao, Zhibin,Zhu, Xiefei,Zhang, Tianzhen,Chen, Hong.

[2]Estimating Severity Level of Cotton Infected Verticillium Wilt Based on Spectral Indices of TM Image. Chen, Bing,Wang, Keru,Li, Shaokun,Xiao, Chunhua,Chen, Jianglu,Jin, Xiulinag,Wang, Keru,Li, Shaokun,Chen, Bing.

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[4]Genome-wide association study discovered candidate genes of Verticillium wilt resistance in upland cotton (Gossypium hirsutum L.). Li, Tinggang,Ma, Xuefeng,Li, Nanyang,Zhou, Lei,Gui, Yuejing,Bao, Yuming,Chen, Jieyin,Dai, Xiaofeng,Liu, Zheng,Han, Huanyong. 2017

[5]Estimating severity level of cotton disease based on spcctral indicse of TM image. Chen Bing,Li Shao-Kun,Wang Ke-Ru,Su Yi,Chen Jiang-Lu,Jin Xiu-Liang,Lv Yin-Liang,Diao Wan-Ying,Li Shao-Kun,Wang Ke-Ru,Chen Bing. 2011

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[7]Fine mapping the QTL qFS-chr.23, using a CSIL. Wang, Youwu,Zhang, Jingchuan,Kong, Guangchao,Lin, Hai.

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