Study on inversion models for the severity of winter wheat stripe rust using hyperspectral remote sensing

2007 ◽  
Author(s):  
Jinbao Jiang ◽  
Yunhao Chen ◽  
Adu Gong ◽  
Jing Li
Keyword(s):  
Remote Sensing ◽  
Winter Wheat ◽  
Stripe Rust ◽  
Hyperspectral Remote Sensing ◽  
Wheat Stripe Rust

Monitor Disease Incidence of Winter Wheat Stripe Rust Using Hyperspectral Data: Analysis of Characteristic Spectrum and Establishing of Inversion Models

2014 ◽  
Vol 602-605 ◽  
pp. 2462-2467
Author(s):  
Mu Yi Huang ◽  
Wen Jiang Huang ◽  
Xiao Dong Yang ◽  
Guang Zhou Chen
Keyword(s):  
Winter Wheat ◽  
Stripe Rust ◽  
Vegetation Index ◽  
Near Infrared ◽  
Disease Incidence ◽  
Correlation Coefficients ◽  
Hyperspectral Data ◽  
Wheat Stripe Rust ◽  
Canopy Spectral Reflectance ◽  
Reflectance Data

It was discussed of the selection method of characteristic spectral band and the establishing of inversion model to monitor winter wheat stripe rust using hyperspectral data in this study. The correlation coefficients between the DI (disease incidence) at different stages of infection and the initial canopy reflectance spectral and the derivative of the reflectance spectrum were compared, respectively. The results showed that the derivative of the reflectance spectra has reached higher significant level with the DI than the initial reflectance spectral data. The initial reflectance in the visible light 680nm wavelength and the near infrared 976nm, 1010nm wavelength were selected to do regression with the DI of winter wheat stripe rust. And some inversion models between the DI and the hyperspectral data or its conversion patterns like NDVI (Normalized difference vegetation index), RVI (Ratio vegetation index), TVI (Transformed vegetation index) and its differential values of the canopy spectral reflectance data to monitor winter wheat stripe rust were established. Meanwhile, those correlation coefficients were compared respectively, of which we found the pattern of vegetation index has more efficient commonly than initial canopy spectral reflectance data by aggression analysis with the DI. The paper also suggested that the possibility of developing a special visible/near-infrared sensor for the detection of the DI of winter wheat stripe rust theoretically. Else, the SRSI (stripe rust stress index) mechanism model was presented for the first time in this paper.

Hyperspectral remote sensing to quantify the flowering phenology of winter wheat

2019 ◽  
Vol 52 (7) ◽  
pp. 389-397
Author(s):  
Zhen Zhang ◽  
Yunsheng Lou ◽  
Ojara Moses. A ◽  
Rui Li ◽  
Li Ma ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Winter Wheat ◽  
Flowering Phenology ◽  
Hyperspectral Remote Sensing

scholarly journals Race Composition of Puccinia striiformis f. sp. tritici in Tibet, China

Plant Disease ◽  
2012 ◽  
Vol 96 (11) ◽  
pp. 1615-1620 ◽  
Author(s):  
Xiaoping Hu ◽  
Jiaojiao Li ◽  
Yating Wang ◽  
Baotong Wang ◽  
Qiang Li ◽  
...  
Keyword(s):  
Genetic Variation ◽  
Winter Wheat ◽  
Stripe Rust ◽  
Puccinia Striiformis ◽  
Wheat Stripe Rust ◽  
Inoculum Source ◽  
Rust Pathogen ◽  
Fungal Populations ◽  
Standard Set ◽  
New Races

In Tibet, China, wheat stripe rust (caused by Puccinia striiformis f. sp. tritici) has recently become one of the most destructive diseases on winter wheat. To identify races of the pathogen in Tibet, 261 isolates were obtained in 2010 and tested on seedlings of a standard set of 19 wheat indicator genotypes. Of the 261 isolates, 248 were identified as members of 19 known races (CYR17, CYR20, CYR21, CYR22, CYR23, CYR29, CYR31, CYR32, CYR33, Lov13-6, Su11-1, Su11-2, Su11-3, Su11-4, Su11-5, Su11-6, Su11-7, Su11-8, and Su11-13), and 13 identified as representatives of 4 new races. CYR32 and CYR33 were the most predominant. The number of races and their frequencies in Tibet were more similar to the fungal populations in Sichuan and Gansu provinces than to those in Yunnan, Qinghai, and Shaanxi provinces. The results suggest that Tibet is also a possible center of inoculum source and genetic variation for the stripe rust pathogen in addition to Sichuan and Gansu.

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