Estimation of Severity Level of Wheat Powdery Mildew Based on Canopy Spectral Reflectance

2013 ◽  
Vol 39 (8) ◽  
pp. 1469
Author(s):  
Wei FENG ◽  
Xiao-Yu WANG ◽  
Xiao SONG ◽  
Li HE ◽  
Yong-Hua WANG ◽  
...  
2021 ◽  
Vol 13 (18) ◽  
pp. 3753
Author(s):  
Wei Liu ◽  
Chaofei Sun ◽  
Yanan Zhao ◽  
Fei Xu ◽  
Yuli Song ◽  
...  

Both wheat powdery mildew severities and nitrogen input levels can lead to changes in spectral reflectance, but they have been rarely studied simultaneously for their effect on spectral reflectance. To determine the effects and influences of different nitrogen input levels on monitoring wheat powdery mildew and estimating yield by near-ground hyperspectral remote sensing, Canopy hyperspectral reflectance data acquired at Feekes growth stage (GS) 10.5.3, 10.5.4, and 11.1 were used to monitor wheat powdery mildew and estimate grain yield under different nitrogen input levels during the 2016–2017, 2017–2018, 2018–2019 and 2019–2020 seasons. The relationships of powdery mildew and grain yield with vegetation indices (VIs) derived from spectral reflectance data across the visible (VIS) and near-infrared (NIR) regions of the spectrum were studied. The relationships of canopy spectral reflectance or first derivative spectral reflectance with powdery mildew did not differ under different nitrogen input levels. However, the dynamics of VIs differed in their sensitivities to nitrogen input levels, disease severity, grain yield, The area of the red edge peak (Σdr680–760 nm) was a better overall predictor for both disease severity and grain yield through linear regression models. The slope parameter estimates did not differ between the two nitrogen input levels at each GSs. Hyperspectral indices can be used to monitor wheat powdery mildew and estimate grain yield under different nitrogen input levels, but such models are dependent on GS and year, further research is needed to consider how to incorporate the growth stage and year-to-year variation into future applications.


2021 ◽  
Author(s):  
Deshan Xie ◽  
Xuewei Cai ◽  
Chunping Yang ◽  
Linjun Xie ◽  
Guangwei Qin ◽  
...  

2021 ◽  
Vol 693 (1) ◽  
pp. 012124
Author(s):  
Jinling Zhao ◽  
Guomin Chu ◽  
Hao Yan ◽  
Lei Hu ◽  
Yongan Xue

1995 ◽  
Vol 43 (1) ◽  
pp. 47-52 ◽  
Author(s):  
Miroslav Švec ◽  
Marta Miklovičová ◽  
Milan Sýkora ◽  
Eduard Krippel

2000 ◽  
Vol 78 (10) ◽  
pp. 1288-1293 ◽  
Author(s):  
Jérôme Muchembled ◽  
Anissa Lounès-Hadj Sahraoui ◽  
Anne Grandmougin-Ferjani ◽  
Michel Sancholle

The total sterol composition of conidia of the obligate plant pathogen Blumeria (= Erysiphe) graminis f.sp. tritici has been analysed as a function of their ontogeny during sporulation. Two main classes of sterols were characterized: 24-ethylsterols (24-ethylcholesta-5,22-dienol, 24-ethylcholesterol, and Δ5-avenasterol) and 24-methylsterols (24-methylenecholesterol and episterol). Our results show that sterol composition is greatly modified during ontogeny of B. graminis conidia both at the qualitative and quantitative levels. In particular, 24-methylsterols, e.g., 24-methylenecholesterol and episterol, are the major sterols in old conidia whereas 24-ethylsterols, e.g., 24-ethylcholesta-5,22-dienol, 24-ethylcholesterol, and Δ5-avenasterol, are the main sterols in young conidia.Key words: Erysiphe, wheat powdery mildew, sterols, ontogeny.


PROTOPLASMA ◽  
2014 ◽  
Vol 252 (4) ◽  
pp. 1167-1179 ◽  
Author(s):  
Yulin Cheng ◽  
Juanni Yao ◽  
Hongchang Zhang ◽  
Lili Huang ◽  
Zhensheng Kang

2012 ◽  
Vol 34 ◽  
pp. 112-118 ◽  
Author(s):  
Na Liu ◽  
Guoshu Gong ◽  
Min Zhang ◽  
You Zhou ◽  
Zhixiang Chen ◽  
...  

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