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Quantifying the effects of stripe rust disease on wheat canopy spectrum based on eliminating non-physiological stresses

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The Crop Journal 2022年第5期10卷 1284-1291页

作者： Xia Jing Kaiqi Du Weina Duan Qin Zou Tingting Zhao Bingyu Li Qixing Ye Lieshen Yan College of Geomatics Xi’an University of Science and TechnologyXi’an 710054ShaanxiChina Key Laboratory of Digital Earth Science Aerospace Information Research InstituteChinese Academy of SciencesBeijing 100094China

The wheat canopy reflectance spectrum is affected by many internal and external factors such as diseases and growth stage. Separating the effects of disease stress on the crop from the observed mixed signals is crucial for increasing the precision of remote sensing monitoring of wheat stripe rust. The canopy spectrum of winter wheat infected by stripe rust was processed with the difference-in-differences(DID) algorithm used in econometrics. The monitoring accuracies of wheat stripe rust before and after processing with the DID algorithm were compared in the presence of various external factors, disease severity, and several simulated satellite sensors. The correlation between the normalized difference vegetation index processed by the DID algorithm(NDVI-DID) and the disease severity level(SL) increased in comparison with the NDVI before processing. The increase in precision in the natural disease area in the field in the presence of large differences in growth stage, growth, planting, and management of the crop was greater than that in the controlled experiment. For low disease levels(SL 40%).According to the measured hyperspectral data, the spectral reflectance of three satellite sensor levels was simulated. The wide-band NDVI was calculated. Compared with the wide-band NDVI and vegetation indexes(VI) before DID processing, there were increases in the correlation between SL and the various types of VIS-DID, as well as in the correlation between SL and NDVI-DID. It is feasible to apply the DID algorithm to multispectral satellite data and diverse types of VISfor monitoring wheat stripe rust. Our results improve the quantification of independent effects of stripe rust infection on canopy reflectance spectrum,increase the precision of remote sensing monitoring of wheat stripe rust, and provide a r

关键词： Difference-in-differences wheat stripe rust Severity leve Non-physiological stress Independent effects

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Effects of UV-B radiation intensity and timing on epidemiological components of wheat stripe rust

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Journal of Integrative Agriculture 2018年第12期17卷 2704-2713页

作者： WANG Hui QIN Feng CHENG Pei MA Zhan-hong WANG Hai-guang Department of Plant Pathology China Agricultural UniversityBeijing 100193P.R.China Rizhao Agricultural Bureau of Shandong Province Rizhao 276800P.R.China

stripe rust caused by Puccinia striiformis f. sp. tritici is an important wheat disease worldwide that is greatly influenced by environmental conditions. Ultraviolet B(UV-B) radiation is one important environmental factor affecting the occurrence and epidemiology of wheat stripe rust. Investigating UV-B radiation effects on the epidemiology of stripe rust may be conducive to monitoring and predicting this disease. In this study, wheat seedlings were exposed to UV-B radiation during different periods under laboratory conditions and radiation effects on epidemiological components of wheat stripe rust were investigated. Results showed that incubation period was shortened, and the infection efficiency, sporulation quantity and disease index increased when UV-B radiation was performed only pre-inoculation. When the UV-B radiation was performed only postinoculation or both pre-and post-inoculation, the incubation period was prolonged, and the infection efficiency, sporulation quantity and disease index were reduced. When healthy wheat seedlings were inoculated using urediospores collected from wheat leaves irradiated by UV-B only post-inoculation or both pre-and post-inoculation, infection efficiency, sporulation quantity and disease index were also reduced. However, in the latter, the disease incubation period did not differ under varying UV-B radiation intensities compared to that when wheat leaves were not treated with UV-B radiation. Overall, the effects of direct exposure of wheat plants to UV-B radiation with different intensities in different periods on epidemiological components of wheat stripe rust were systematically explored, and the results suggest that the effects of UV-B radiation increased gradually with the increase of UV-B radiation intensity. This information provides a basis for monitoring and predicting this disease as well as for conducting further studies on pathogen virulence variation.

关键词： wheat stripe rust UV-B radiation epidemiological component Puccinia striiformis f.sp.tritici

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Development of automatic counting system for urediospores of wheat stripe rust based on image processing

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International Journal of Agricultural and Biological Engineering 2017年第5期10卷 134-143页

作者： Li Xiaolong Ma Zhanhong Fernando Bienvenido Qin Feng Wang Haiguang José Antonio Alvarez-Bermejo Department of Plant Pathology China Agricultural UniversityBeijing 100193China Department of Informatics CeiA3University of AlmeriaAlmeriaCP 04120Spain

To realize automatic counting of urediospores of Puccinia striiformis f.***.tritici(Pst)(causal agent of wheat stripe rust),an automatic counting system for urediospores of wheat stripe rust pathogen based on image processing was developed using MATLAB GUIDE platform in combination with Local C Compiler(LCC).The system is independent of the MATLAB environment and can be run on a computer without the MATLAB software.Using this system,automatic counting of Pst urediospores in a microscopic image can be implemented via image processing technologies including image scaling,clustering segmentation,morphological modification,watershed transformation,connected region labeling,etc.Structure design of the automatic counting system,the key algorithms used in the system and realization of the main functions of the system were described in detail.Spore counting tests were conducted using microscopic digital images of Pst urediospores and the high accuracies more than 95%were obtained.The results indicated that it is feasible to count Pst urediospores automatically using the developed system based on image processing.

关键词： puccinia striiformis f.sp.tritici wheat stripe rust image processing automatic counting computer aided system MATLAB

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Association Analysis of SP-SNPs and Avirulence Genes in Puccinia striiformis f. sp. tritici, the wheat stripe rust Pathogen

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American Journal of Plant Sciences 2016年第1期7卷 126-137页

作者： Chongjing Xia Meinan Wang Anmin Wan Derick A. Jiwan Deven R. See Xianming Chen Department of Plant Pathology Washington State University Pullman USA United States Department of Agriculture Agricultural Research Service Wheat Health Genetics and Quality Research Unit Pullman USA

Puccinia striiformis f. sp. tritici (Pst) is one of the pathogenic fungi on wheat, caused stripe rust that is a great threat for wheat production all over the world. Intensive efforts have been made to study genetics of wheat resistance to this disease, but few on avirulence of the pathogen due mainly to the nature of obligate biotrophism and the lack of systems for studying its genetics and molecular manipulations. To overcome these limitations, a natural Pst population comprising 352 isolates representative of a diverse virulence spectrum was genotyped using 97 secreted protein-single nucleotide polymorphism (SP-SNP) markers to identify candidate avirulence genes using association analysis. Among avirulence genes corresponding to 19 resistance genes, significantly associated SP-SNP markers were detected for avirulence genes AvYr1, AvYr2, AvYr6, AvYr7, AvYr8, AvYr44, AvYrExp2, AvYrSP, and AvYrTye. These results indicate that association analysis can be used to identify markers for avirulence genes. This study has laid the foundation for developing more SP-SNPs for mapping avirulence genes using segregating populations that can be generated through sexual reproduction on alternate hosts of the pathogen.

关键词： Puccinia striiformis f. sp. tritici wheat stripe rust Avirulence Genes Secreted Proteins Single Nucleotide Polymorphism Association Analysis

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Application Effect of Pesticide Synergist‘Jijian' on wheat stripe rust

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Agricultural Biotechnology 2018年第4期7卷 36-39页

作者： Dongyang LUO Changjia PENG Mingwen WANG Tikun BAI Pan DING Yan ZHENG Tiejun XIAN Yuheng YANG Plant Protection and Plant Quarantine Station of Yilong County Yilong 637641China Plant Protection and Quarantine Station of Nanchong City Nanchong 637000China Meteorological Bureau of Nanc hong City Nanc hong Siehuan 637000 College of Plant Protection Southwest UniversityBeibei 400716China

The aim of this study is to clarify the application effect of pesticide decrement synergist ＇ Jijian＇ on wheal stripe lUSt. Sampling investigation, randomized block design and statistic analysis were carried out to find out the field efficacy of adding ＇ Jijian＇ to triadimefon WP and propiconazole EC on controlling wheat stripe rust. The results showed that during the epidemic period of stripe rust, the control effects on the 7^th and the 19^th d reached more than 93% and 100% , respectively, by the application of 15% triadimefon WP of 1 200 g/hm^2 and 25% propiconazole EC of 600 mlhm^2 , respectively for 2 times ; when 15% triadimefon WP of 840 g/hm^2 ＋＇ Jijian＇ of 225 g/hm^2 or 25 % propiconazole EC of 420 mlhm^2 ＋＇ Jijian＇ of 225 g/hm^2 were applied （ adding ＇ Jijian＇ and reducing the dosage of the 2 pesticides by 30% ） , the control effect on the 7^th d was 89.4% and 91.7% , respectively, while the control effect on the 19a＇ d was 99.8 - 100% ; when 15% triadimefon WP of 720 - 600 g/hm^2 ＋＇ Jijian＇ of 225 g/hm^2 or 25% propiconazole EC 360 - 300 mlhm^2 ＋＇ Jijian＇ of 225 g/hm^2 were applied （ adding ＇ Jijian＇ and reducing the dosage of the 2 pesticides by 40% - 50% ） , the control effect on the 7a＇ day reached more than 78.0% , while the control effect on the 19^th day was 97.7% - 99.8%. There was no significant difference on the control effect at the 7^th d between the treatments using the 2 pesticides alone and the treatments adding ＇ Jijian＇ and reducing the dosage of the 2 pesticides by 30%, but all had significant differences from the treatments adding ＇ Jijian＇ and reducing the dosage of the 2 pesticides by40% -50%. There was no significant difference on the control effect of the 19^th d among different treatments. Therefore, if the disease is not serious, the application of ＇ Jijian＇ can reduce the application amounts of pesticides by 40% -50%, that is, 15% triadimefon WP of 720 -600 g/hm^2 ＋＇ Jijian＇ of 225 g/hm^2 or 25 % propiconazole EC of 360- 300 ml/hm^2 ＋＇ Jijian＇ of 225 g/hm^2, which is hel

关键词： wheat stripe rust Pesticide decrement synergist ＇Jijian＇ Triadimefon Propiconazole Control effect

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Modeling the dynamics of wheat stripe rust spore with weather variables

Modeling the dynamics of wheat stripe rust spore with weathe...

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中国植物病理学会2015年学术年会

作者： SUN Qiu-yu MA Zhan-hong WU Bo-ming Department of plant pathology China Agricultural University

wheat stripe rust（Puccinia.striiformis f.***.tritici） is a major disease threatening agricultural production in China.Analyses were performed on historical weather observation and survey data on wheat stripe rust to study the dynamic of Pst urediospores and its influencing weather factors.The concentration of urediospores was monitored with a simplifield-spore-trap in a wheat field in Shangzhuang Agricultural Research Station,Beijing during growing seasons in 2013 and 2014.Weather variables,including maximum temperature,minimum temperature,mean temperature,relative humidity and dew points,were recorded with a hobo recorder at the same location.Other weather variables（air pressure,wind speed,rain,sunshine） were obtained from Plant Protection Station of Beijing.The results revealed that the highest concentrations were detected during the filling stage of wheat.Within a day,the quantity of spore released reached its peak around 14:00 pm.The main weather variables that significantly correlated with daily spore concentrations were temperature,relative humidity and dew point.Prediction models for daily and hourly spore concentrations were developed via stepwise regression analysis.Results from Mest demonstrated that there is no significant difference at the 95%level between predicted and observed spore concentrations.

关键词： wheat stripe rust dynamic weather factors models

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Regulation mechanism of TaSERK1 during the interaction between wheat and stripe rust fungus

Regulation mechanism of TaSERK1 during the interaction betwe...

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中国植物病理学会2021年学术年会

作者： WANG Ning ZHANG Shan FAN Xin HE Mengying HU Zeyu LIU Feiyang CHENG Jiaxin WANG Jianfeng TANG Chunlei KANG Zhensheng WANG Xiaojie State Key Laboratory of Crop Stress Biology for Arid Areas College of Plant ProtectionNorthwest A＆F University

wheat stripe rust occurs frequently and results in significant yield loss worldwide.The sessile plants have evolved a large number of receptor-like kinases（RLKs） and receptor-like cytoplasmic kinases（RLCKs） to modulate plant innate immunity.Here we report the isolation of TaSERK1（wheat somatic embryogenesis receptor kinase 1） and demonstrate that TaSERK1 positively regulates immunity.wheat plants silenced for TaSerk1 display reduced resistance to Pst while TaSERK1 overexpression plants display enhancedresistance to Pst.Furthermore,the receptor-like cytoplasmic kinase TaRLCK2159 functions downstreamof TaSERK1 in the interaction of wheat and stripe rust fungus.We found that TaRLCK2159 interacts with the intracellular domains of TaSERK1 in kinasedependent manner.TaSERK1 directly phosphorylates RLCK2159 and positively regulates plant immunity by stimulating production of reactive oxygen species（ROS）.Taken together,our findings suggest that the mechanism of TaSERK1-meditated regulation of wheat resistance,thus providing new insight to defense mechanism and breeding of wheat.

关键词： TaSERK1 wheat stripe rust ROS wheat resistance

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Modification of the susceptibility gene TaPsIPK1‑a win‑win for wheat disease resistance and yield

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Stress Biology 2022年第1期2卷 193-196页

作者： Alberto Macho Pengcheng Wang Jian‑Kang Zhu Shanghai Center for Plant Stress Biology CAS Center for Excellence in Molecular Plant SciencesChinese Academy of SciencesShanghai 200032China Institute of Advanced Biotechnology and School of Life Sciences Southern University of Science and TechnologyShenzhen 518055China Center for Advanced Bioindustry Technologies Chinese Academy of Agricultural SciencesBeijing 100081China

wheat is one of the most important cereal crops,and it is essential for worldwide food security.However,wheat production is threatened by various diseases,including wheat stripe rust caused by the fungus Puccinia striiformis f.***.tritici(Pst).The development of plant resistance against disease is usually challenged by potential reduction in crop yield due to the enhancement of plant immunity.In a recent article,Wang et al.found that TaPsIPK1 is a susceptibil-ity gene targeted by rust effectors.Editing of TaPsIPK1 increases resistance to stripe rust without any developmental effects or yield penalty,providing an exceptional resource for developing disease resistance in wheat.

关键词： wheat wheat stripe rust TaPsIPK1 Resistance genes

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Discrimination of stripe rust and Powdery Mildew of winter wheat based on canopy hyperspectral reflectance in different growth stages

Discrimination of Stripe Rust and Powdery Mildew of winter w...

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中国植物病理学会2015年学术年会

作者： WEN Li QIN Feng LIU Qi WU You WANG Rui ZHAO Ya-qiong LIU Bin-bin GU Yi-lin MA Zhan-hong WANG Hai-guang Department of Plant Pathology China Agricultural University Kaifeng Experimental Station of China Agricultural University

stripe rust（caused by Puccinia striiformis f.***.tritici） and powdery mildew（caused by Blumeria graminis f.***.tritici） are two important diseases of winter wheat.The epidemics of the diseases have a severe impact on production and economic losses of wheat.It is significant to identify these two kinds of diseases for real-time monitoring of wheat diseases in large scale.Compared with the molecular biological techniques,hyperspectral remote sensing（HRS） can implement non-destructive identification of plant diseases.After the measurement of the canopy reflectance spectra and the field surveys in the different growth stages in the experimental field in Kaifeng Experimental Station of China Agricultural University,recognition models of stripe rust and powdery mildew were built based on the support vector machine（SVM） in this study.The results showed that the recognition accuracies of training sets and testing sets were above 96%.Especially,for the model in the heading stage of wheat,the recognition accuracy of the training set was 99%and the recognition accuracy of the testing set was about 98%.The effect of this model was the best among all the models.The results indicated that it is feasible to distinguish between stripe rust and powdery mildew of winter wheat by hyperspectral remote sensing.This study provided some basis for rapid monitoring of the dynamics of wheat diseases in large scale by using hyperspectral remote sensing technology.

关键词： wheat stripe rust wheat powdery mildew Hyperspectral remote sensing Canopy spectrum Recognition models

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A secreted catalase contributes to Puccinia striiformis resistance to host-derived oxidative stress

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Stress Biology 2021年第1期1卷 256-270页

作者： Pu Yuan Wenhao Qian Lihua Jiang Conghui Jia Xiaoxuan Ma Zhensheng Kang Jie Liu State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection Northwest A&F UniversityYanglingPeople’s Republic of China State Key Laboratory of Crop Stress Biology for Arid Areas and College of Life Sciences Northwest A&F UniversityYanglingPeople’s Republic of China

Plants can produce reactive oxygen species(ROS)to counteract pathogen invasion,and pathogens have also evolved corresponding ROS scavenging strategies to promote infection and pathogenicity.Catalases(CATs)have been found to play pivotal roles in detoxifying H_(2)O_(2)formed by superoxide anion catalyzed by superoxide dismutases(SODs).However,few studies have addressed H_(2)O_(2)removing during rust fungi infection of wheat.In this study,we cloned a CAT gene PsCAT1 from Puccinia striiformis f.***.tritici(Pst),which encodes a monofunctional heme-containing catalase.PsCAT1 exhibited a high degree of tolerance to pH and temperature,and forms high homopolymers.Heterologous complementation assays in Saccharomyces cerevisiae reveal that the signal peptide of PsCAT1 is functional.Overexpression of PsCAT1 enhanced S.cerevisiae resistance to H_(2)O_(2).Transient expression of PsCAT1 in Nicotiana benthamiana suppressed Bax-induced cell death.Knockdown of PsCAT1 using a host-induced gene silencing(HIGS)system led to the reduced virulence of Pst,which was correlated to H_(2)O_(2)accumulation in HIGS plants.These results indicate that PsCAT1 acts as an important pathogenicity factor that facilitates Pst infection by scavenging host-derived H_(2)O_(2).

关键词： wheat stripe rust Puccinia striiformis f.sp.tritici Catalase Reactive oxygen species Host-induced gene silencing

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