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马占鸿专业技术职务: 教授 行政职务: 主要研究方向: 植病流行与智慧植保 学位: 博士 联系电话: 010-62733008 电子邮箱: mazh@cau.edu.cn |
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个人简介马占鸿 联系电话:010-62733008 Email:mazh@cau.edu.cn 中国农业大学植物保护学院植物病理学系教授、博士生导师。 国际植物病害流行专业委员会委员。 国际植物病害损失估计专业委员会委员。 中国植物病理学会会士、理事、植物病害流行专业委员会主任。 中国植物保护学会监事;第九届理事会理事、副秘书长,第十、第十一届理事会常务理事、副秘书长、植物抗病虫专业委员会主任。 1992年至1997年中国农业大学攻读硕士、博士学位,分别师承曾士迈院士和裘维蕃院士。1997至1999年在中国农业科学植物保护研究所从事博士后研究工作。 先后应邀赴美国(衣阿华州立大学、加州大学、哥伦比亚大学、康涅狄格大学、圣路易斯)、巴西(伊瓜苏)、法国(布雷斯特)、新加坡(国立大学)、意大利(都灵)、俄罗斯(莫斯科、圣彼得堡)、日本(弘前大学)、德国(波恩大学)、瑞典(农业科学大学)及我国香港、澳门、台湾等国家和地区的科研院所高访或学术交流。长期从事植物病害流行学和宏观植物病理学研究工作,对小麦条锈病、玉米南方锈病和玉米矮花叶病等重大粮食作物病害的流行、监测及预警有深入系统研究。发表研究论文260余篇,其中SCI论文40余篇。主编、副主编书籍13本,主编《植病流行学》、《农业生物安全概论》、《分子植物病害流行学(英文版)》、《病虫测报学》和《农业生物安全》教材6本,其中2010年出版的《植病流行学》2011年荣获北京市精品教材、2019年第二版荣获2020年北京市重点优质本科教材课件。获得国家科技进步一等奖1项,省部级一等奖3项、二等奖2项、三等奖5项。授权专利17项。培养博士、硕士研究生近100名。 2019年,获得中共中央、国务院、中央军委颁发的“庆祝中华人民共和国成立70周年”纪念章和宝钢教育基金会颁发的宝钢优秀教师奖章。2020年荣获中国农业大学优秀教育工作者。 媒体链接: 人民日报:大豆锈病登录美国 或影响我大豆进口应严加注意 https://www.cas.cn/xw/kjsm/gjdt/200411/t20041114_1009656.shtml ,https://www.hnagri.org.cn/article-7314.html 科学时报:高空有双明亮的眼睛 http://news.sciencenet.cn/htmlnews/2010/3/229759.shtm 四川省人民政府网:全国植保专家云集四川会诊我省小麦条锈病 http://www.sc.gov.cn/10462/10464/10465/10574/2015/1/16/10323918.shtml 湖北日报:植保专家聚襄阳调查小麦病虫害 https://news.cau.edu.cn/art/2016/1/15/art_8779_418144.html 农民日报:用爱心浇灌民族团结之花 http://finance.china.com.cn/roll/20170310/4130449.shtml 湖南日报:首场“新农大讲堂”在拼多多开课 万名学员在线学种地 https://baijiahao.baidu.com/s?id=1661678274383693653&wfr=spider&for=pc 人民日版客户端人民号:中国农业大学植物保护学院教授马占鸿:创新科技打响病害歼灭战,守护粮食安全助力农业高质量发展 https://www.peopleapp.com/rmharticle/30048190932 教学科研概况教学方面:承担本科生《普通植物病理学》和研究生的《植病流行学》、《农业生物安全》课程的主讲。 科研方面:目前承担着国家重点研发计划项目和国家自然科学基金项目,主要研究对象是小麦条锈病和玉米南方锈病。 社会职务宁夏永宁县副县长(挂职,自2007.4-2009.12) 开封市人民政府党组成员、副秘书长(挂职,自2012.8-2021.3) 活动动态研究领域植物病害流行学、宏观植物病理学、病虫测报学、农业生物安全 开授课程
本科生课程:近十年课程数据
科研项目
纵向项目
论文论文发表论文200余篇,其中《中国农业科学》、《植物病理学报》、《植物保护学报》等中文核心期刊论文170余篇,SCI论文50余篇,代表性论文如下: Xuan Lv, Jiarui Jiang, Ziqian Yang, Sishu Lan, Yue Ma, Jie Deng, Congying Zhou,Zhifang Wang, Yuchen Li, Zhanhong Ma*.Rapid detection of Puccinia striiformis f. sp. tritici from wheat stripe rust samples using recombinase polymerase amplification combined with multiple visualization methods.International Journal of Biological Macromolecules 283 (2024) 137634. Xuan Lv,Jie Deng,Congying Zhou,Ahsan Abdullah,Ziqian Yang,Zhifang Wang,Lujia Yang,Baoqiang Zhao,Yuchen Li, Zhanhong Ma*. Comparative transcriptomic insights into molecular mechanisms of the susceptibility wheat variety MX169 response to Puccinia striiformis f. sp. tritici (Pst) infection.Microbiology Spectrum.10.1128/03774-23. Kai Zhang,Jie Deng b*, Congying Zhou, Jiangui Liu, Xuan Lv, Ying Wang,Enhong Sun, Yan Liu, Zhanhong Ma*,Jiali Shang*.Using UAV hyperspectral imagery and deep learning for Object-Based quantitative inversion of Zanthoxylum rust disease index.International Journal of Applied Earth Observation and Geoinformation.135 (2024) 104262. Congying Zhou, Xuan Lv, Xinlei Qi, Ahsan Abdullah, Qiuyu Sun, Mingliang Ding,Yingwen Bai,Ziqian Yang, Zhifang Wang and Zhanhong Ma*.Population genetic analyses highlight an eastward dispersal of Puccinia striiformis f. sp.tritici from the Shaanxi province to the North China Plain.Phytopathology Research (2024) 6:16.10.1186/s42483-024-00231-2. Qiuyu Sun,Jie Liu,Chong Huang,Xiufeng Liu,Jianmeng Gao,Leifu Li,Yong Luo and Zhanhong Ma*.Clonal expansion and dispersal pathways of Puccinia polysora in China.Phytopathology.2023.113:21-30 Jie Deng, Rui Wang, Lujia Yang, Xuan Lv, Ziqian Yang, Kai Zhang, Congying Zhou,Li Pengju, Zhifang Wang, Ahsan Abdullah, and Ma Zhanhong*.Quantitative Estimation of Wheat Stripe Rust Disease Index Using Unmanned Aerial Vehicle Hyperspectral Imagery and Innovative Vegetation Indices.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 61, 2023. Jie Deng, Xunhe Zhang, Ziqian Yang, Congying Zhou, Rui Wan, Kai Zhang, Xuan Lv,Lujia Yang, Zhifang Wang, Pengju Li, Zhanhong Ma*. Pixel-level regression for UAV hyperspectral images: Deep learning-based quantitative inverse of wheat stripe rust disease index.Computers and Electronics in Agriculture 215 (2023) 108434. Yuheng Yang*, Qiong Zhang*, Yang Yu*,Guotian Li*, Shunyuan Xiao* and Zhanhong Ma*.Editorial: Improving crop health:Understanding the interaction mechanisms between crops and their pathogens.Front. Plant Sci. 14:1161154.doi: 10.3389/fpls.2023.1161154 Lujia Yang, Bingyao Chu, Jie Deng, Kai Yuan, Qiuyu Sun, Caige Jiang and Zhanhong Ma*.Use of a real-time PCR method to quantify the primary infection of Plasmopara viticola in commercial vineyards. Phytopathology Research (2023) 5:19. Lujia Yang,Jie Deng,Bingyao Chu,Xuan Lv,Shuang Song,Yi Zhang,Qiuyu Sun,Zhanhong Ma*.Exploring the association between latent Plasmopara viticola infection and downy mildew epidemic in commercial vineyards: Application of qPCR assay.Plant Pathology. 2023;00:1–12. Junmin Liang,Yuanjie Li,Peter N. Dodds,Melania Figueroa,Jana Sperschneider,Shiling Han1,Clement K. M. Tsui,Keyu Zhang,Leifu Li,Zhanhong Ma,Lei Cai*.Haplotype- phased and chromosome- level genome assembly of Puccinia polysora, a giga- scale fungal pathogen causing southern corn rust.Mol Ecol Resour. 2022;00:1–20. Bingbing Jiang, Cuicui Wang, Cunwu Guo, Xuan Lv, Wenfeng Gong, Jie Chang, Hongpan He, Jing Feng,Xianming Chen, Zhanhong Ma*. Genetic Relationships of Puccinia striiformisf. sp. tritici inSouthwestern and Northwestern China.Microbiology Spectrum. 2022,10(4). https://doi.org/10.1128/spectrum.01530-22. Jing Chen, Ainisai Saimi, Minghao Zhang, Qi Liu* and Zhanhong Ma*. Epidemic of Wheat Stripe Rust Detected by HyperspectralRemote Sensing and Its Potential Correlation with SoilNitrogen during Latent Period. Life 2022, 12, 1377.https://doi.org/10.3390/life12091377. Shuhe Wang , Chaofan Gao, Qiuyu Sun, Qi Liu , Cuicui Wang , Fangfang Guoand Zhanhong Ma*.Genetic Characterization of Puccinia striiformis f. sp. tritici Populations from Different Wheat Cultivars Using SimpleSequence Repeats. J.Fungi 2022, 8, 705. https://doi.org/10.3390/jof8070705. Jianmeng Gao, Mingliang Ding, Qiuyu Sun, Jiayu Dong, Huanyi Wang and Zhanhong Ma*, Classification of Southern Corn Rust Severity Based onLeaf-Level Hyperspectral Data Collected under Solar Illumination. Remote Sens. 2022, 14, 2551.https://doi.org/10.3390/rs14112551. Jie Deng, Xuan Lv, Lujia Yang, Baoqiang Zhao, Congying Zhou, Ziqian Yang, Jiarui Jiang, Ning Ning,Jinyu Zhang, Junzheng Shi and Zhanhong Ma*. Assessing Macro Disease Index of Wheat Stripe Rust Based onSegformer with Complex Background in the Field.Sensors 2022, 22, 5676. https://doi.org/10.3390/s22155676. Jie Deng, Huiru Zhou, Xuan Lv, Lujia Yang, Jiali Shang, Qiuyu Sun, Xin Zheng, Congying Zhou, Baoqiang Zhao, Jiachong Wu, Zhanhong Ma*. Applying convolutional neural networks for detecting wheat stripe rust transmission centers under complex field conditions using RGB-based high spatial resolution images from UAVs.Computers and Electronics in Agriculture 200 (2022) 107211. 10.1016/j.compag.2022.107211). Cuicui Wang, Bingbing Jiang, Junmin Liang, Leifu Li, Yilin Gu, Jintang Li, Yong Luoand Zhanhong Ma*. Population Genetic Structures ofPuccinia striiformis f. sp. tritici in theGansu‐Ningxia Region and Hubei Province, China.Genes 2021, 12, 1712. https://doi.org/10.3390/genes12111712 Qiuyu Sun, Jie Liu, Keyu Zhang, Chong Huang, Leifu Li, Jiayu Dong, Yong Luo and Zhanhong Ma*.De novo transcriptome assembly,polymorphic SSR markersdevelopment and populationgenetics analyses for southern cornrust (Puccinia polysora).Scientific Reports.2021,11:18029.https://doi.org/10.1038/s41598-021-97556-1 Qiuyu Sun, Leifu Li, Fangfang Guo, Keyu Zhang, Jiayu Dong, Yong Luo and Zhanhong Ma*.Southern corn rust caused by Pucciniapolysora Underw: a review.Phytopathol Res.2021,3:25.https://doi.org/10.1186/s42483-021-00102-0. Junming Liang, Xiufeng Liu, Clement K.M.Tsui, Zhanhong Ma*, and Yong Luo*. Genetic structure and asymmetric migration of wheat stripe rust pathogen in western epidemic areas of China. Phytopathology. 2021,111:1252-1260. Bingyao Chu,Kai Yuan,Cuicui Wang,Lujia Yang,Bingbing Jiang,Yilin Gu, Zhanhong Ma*. Effects of Wheat Cultivar Mixtures on Population Genetic Structure ofQ:1 Puccinia striiformis f. sp.Tritici. PhytoFrontiers™. 2021,0:1-15. https://doi.org/10.1094/PHYTOFR-01-21-0006-R. Yilin Gu, Bingyao Chu, Cuicui Wang, Leifu Li, Yilin Zhou, Yong Luo and Zhanhong Ma*. Spore concentrations of Blumeria graminis f. sp.tritici in relation to weather factors and diseasedevelopment in Gansu, China.Can. J.Plant Pathol., 2020,42(1): 52–61, https://doi.org/10.1080/07060661.2019.1630011. Cuicui Wang, Leifu Li, Bingbing Jiang, Keyu Zhang, Bingyao Chu, Yong Luo*, Zhanhong Ma*. Genetic diversity and population structure of Puccinia striiformis f. sp. tritici reveal its migration from central to eastern China.Crop Protection 128 (2020) 104974. https://doi.org/10.1016/j.cropro.2019.104974. Cuicui Wang, Rui Zhang, Bingyao Chu, Bo Ming Wu* and Zhanhong Ma*.Population genetic structure of Pucciniastriiformis f. sp. tritici at the junction ofGansu, Sichuan and Shaanxi Provinces inChina.Phytopathology Research.(2019) 1:25.https://doi.org/10.1186/s42483-019-0032-8. Bingyao Chu, Lujia Yang, Cuicui Wang, Yilin Gu, Kai Yuan, Rui Wang, Yong Luo, and Zhanhong Ma*. Improved evaluation of wheat cultivars (lines) on resistance to Puccinia striiformis f. sp. tritici using molecular disease index. Plant Dis.2019, 103:1206-1212. Yilin Gu, Yong Li, Cuicui Wang, Bingyao Chu, Qi Liu, Yong Luo, Zhanhong Ma*. Inter-seasonal and altitudinal inoculum dynamics for wheat stripe rust and powdery mildew epidemics in Gangu, Northwestern China. Crop Protection, 2018, 110: 65-72 R.Zhang, Z.H.Ma*, B. M. Wu. Multiple displacement amplification of whole genomic DNA from urediospores of Puccinia striiformis f. sp. tritici. Curr Genet. DOI 10.1007/s00294-014-0470-x. 2015. Shuhe Wang, Bingyao Chu, Qi Liu, Yong Luo and Zhanhong Ma*. Development of a sequence-characterized amplified region marker using inter-simple sequence repeats for detection of Puccinia striiformis f. sp. tritici. Journal of Phytopathology (2017) 165, 442-447 Junmin Liang, Xiufeng Liu, Yong Li, Qiong Wan, Zhanhong Ma* and Yong Luo*. Population genetic structure and the migration of Puccinia striiformis f. sp. tritici between the Gansu and Sichuan basin populations of China. Phytopathology (2016) 106, 192-201 Qiong Wan, Junmin Liang, Yong Luo* and Zhanhong Ma*. Population genetic structure of Puccinia striiformis in northwestern China. Plant Disease (2015) 99, 1764-1774 Qi Liu, Yilin Gu, Shuhe Wang, Cuicui Wang, and Zhanhong Ma*. Canopy Spectral Characterization of Wheat Stripe Rust in Latent Period. Journal of Spectroscopy. Volume 2015, Article ID 126090, 11 pages. Junmin Liang, Qiong Wan, Yong Luo* and Zhanhong Ma*. Population genetic structures of Puccinia striiformis in Ningxia and Gansu Provinces of China. Plant Disease (2013) 97, 501-509 Chong Huang, Zhenyu Sun, Haiguang Wang, Yong Luo*, Zhanhong Ma*. Effects of wheat cultivar mixtures on stripe rust: A meta-analysis on field trials. Crop Protection 33 (2012) 52-58 Yan, J.-H., Luo, Y., Chen, T.-T., Huang, C., and Ma, Z.-H*. 2012. Field distribution of wheat stripe rust latent infection using real-time PCR. Plant Dis. 96:544-551. Xiufeng Liu, Chong Huang, Zhenyu Sun, Junmin Liang, Yong Luo* and Zhanhong Ma*. Analysis of population structure of Puccinia striiformis in Yunnan Province of China by using AFLP. European Journal of Plant Pathology (2011) 129, 43-55. 韩国菲,王海光,马占鸿*.CO2浓度升高和UV-B辐射增强对小麦条锈病流行组分的影响,中国农业科学, 2011,44(20):4326-4332. 初炳瑶,龚凯悦,谷医林,王翠翠,潘 阳,骆 勇,马占鸿*. 应用 real-tim e PCR 评价三种杀菌剂对小麦条锈病的防治效果. 植物病理学报,2017,47(4): 532-540. 马占鸿*. 中国小麦条锈病研究与防控. 植物保护学报,2018,45(1):1-6. 黄莉群,张克瑜,李磊福,董佳玉,孙秋玉,邓 杰,马占鸿*. 玉米南方锈菌在玉米品种上的相对寄生适合度研究.中国农业大学学报,2021,26(11):1-9. 马占鸿*,孙秋玉,李磊福,张克瑜,高建孟,董佳玉. 我国玉米南方锈病研究进展. 植物保护学报,2022,49(1):276-282. 李磊福,孙秋玉,吕娟娟,张克瑜,高建孟,董佳玉,孙志强,马占鸿*. 玉米南方锈病鉴别寄主筛选及其在病菌致病型研究中的应用. 植物病理学报,2024,54( 3): 607-616. 科技成果
软件著作
荣誉及奖励
招生信息每年招收病害生物学方向(病害流行)博士1名,硕士2名。 已培养研究生及去向
* 注:蓝色为同一人分别获得硕士和博士学位或做博士后; 往期招生硕士研究生
博士研究生
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