姓名：杨璐嘉

职称：讲 师

导师：硕士生导师

专业：植物病理学

邮箱：ylj0818@126.com

n 教育及工作经历

u 2025.09-至今 云南农业大学，植物病理学，讲师

u 2023.07-2025.07 山东省农业科学院，博士后

u 2021.09-2022.10 意大利圣心大学，植物病理学，联合培养博士

u 2017.09-2023.07 中国农业大学，植物病理学，农学博士

n 研究方向

u 农业病害监测预警、算法及决策支持系统开发

u 利用无人机、卫星遥感和人工智能开展农业遥感与智能监测研究

u 多尺度微生物生态与病害互作机理模型研究

n 奖励与荣誉

u 2025年指导学生参加“第五届全国大学生植物保护专业能力大赛”，获得创新创业优秀项目一等奖

u 2024年获得“山东省植物保护学会2024年学术年会暨第四届齐鲁植保青年论坛”青年报告三等奖

u 2023年获得中国农业大学“优秀毕业生”

u 2021年获得中国农业大学植物保护学院“优秀共产党员”

n 学术兼职

u 中国植物保护学会植保工程专业委员会 委员

n 研究项目

u 云南省教育厅科学研究基金项目青年人才基础研究专项，“气候变化驱动的玉米南方锈病流行趋势定量模型构建”（2026J0399），2026-2028，在研，项目主持人

u 国家重点研发计划战略性科技创新合作重点专项，“中国-东盟作物重大病虫害可持续防控体系研发与应用”（2025YFE0215500），2026-2028，在研，项目参与

u 国家自然科学基金委员会联合基金项目，“农田景观单一化驱动小麦-玉米主要害虫灾变的生态机制”（U24A20412），2025-2028，在研，项目参与

u 山东省重点研发计划（重大科技创新工程）项目，“基于高分辨多维协同雷达的渤海湾迁飞昆虫高空监测与地面阻截技术”，2024-2027，在研，项目参与

n 代表性论文

u Yang, L., Chu, B., Deng, J., Sun, Q., Lv, X., and Ma, ZH. (2025). Assessing susceptibility to latent Plasmopara viticola infection in grapevine cultivars using molecular disease index. Phytopathology. 115 (4), 367-373.https://doi.org/10.1094/PHYTO-10-23-0409-KC.

u Yang, L., Li, L.,Song, Y., Zhang, Y., Yang, J., Cui, H., Guo, W., Lv, S., and Men, X. (2025) The role of foliar endophytes in modulating southern corn rust severity: implications for biocontrol strategies. Frontiers in plant science, 16, 1554915. https://doi.org/10.3389/fpls.2025.1554915.

u Yang, L., Li, L., Dong, Z., Zhu, J., Guo, W., Song, Y., Cui, H., Lv, S., Sindhu, L., and Men, X. (2024). EIRP model driven by machine learning for predicting the occurrence risk of southern corn rust (Puccinia polysora Underw.) in northern China. Agricultural and Forest Meteorology, 356, 110149. https://doi.org/10.1016/j.agrformet.2024.110149.

u Yang, L., Chu, B., Deng, J., Lv, X., Song, S., Zhang Y. and Ma, ZH. (2024). Exploring the association between latent Plasmopara viticola infection and downy mildew epidemic in commercial vineyards: application of qPCR assay. Plant Pathology, 73 (2), 378-389. https://doi.org/10.1111/ppa.13808.

u Yang, L., Chu, B., Yuan, K., Deng, J., Jiang, C., and Ma, ZH. (2023). Use of a real-time PCR method to quantify the primary infection of Plasmopara viticola in commercial vineyards. Phytopathology research, 5, 19. https://doi.org/10.1186/s42483-023-00178-w.

u 杨璐嘉，门兴元.基于人工智能的农田景观中害虫发生预测与展望. 应用昆虫学报 [J]. 2025, 62(3): 567-581

u 杨璐嘉，初炳瑶，邓杰，何少清，张怡，马占鸿. 宁夏葡萄霜霉病菌株致病型鉴定及品种抗性评价[J]. 植物保护学报. 2020, 47(6):1321-1332.

u Chu, B., Yang, L., Wang, C., Gu, Y., and Ma, Z. (2019). Improved evaluation of wheat cultivars (lineds) on resistance to Puccinia striiformis f.sp.tritici using molecular disease index. Plant Disease.103, 1206-1212. https://doi.org/10.1094/PDIS-07-18-1158-RE.

u Xie, P., Sun, H., Yang, L., Li, M., Zhao, Y., and Deng, J. (2026). Capturing Harvest-Induced Signatures Using a Novel Multi-Temporal Index for Zanthoxylum armatum Mapping. Smart Agricultural Technology, 101917.https://doi.org/S2772375526001413.

u Deng, J., Wang, R., Yang, L., Lv, X., Yang, Z., Zhang, K., Zhou, C., Li, P., Wang, Z., Abdullah, A., and Zhanhong, M. (2023). 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, 61, 1-11. https://ieeexplore.ieee.org/abstract/document/10172252.

u Deng, J., Xuan, L., Yang L., Zhao, B. Zhou, C., Yang, Z., Jiang, J., Ning, N., Zhang, J., Shi, J., Ma, Z. (2022). Assessing macro disease index of wheat stripe rust based on segformer with complex background in the Field. Sensors, 22(15), 5676. https://doi.org/1424-8220/22/15/5676.

u Deng, J., Zhou, H., Xuan, L., Yang, L., Shang, J., Sun, Q., Zheng, X., Zhou, C., Zhao, B., Wu, J., Ma. Z. (2022). 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, 200,107211. https://doi.org/10.1016/j.compag.2022.107211.

u Chu, B., Yuan, K., Wang, C., Yang, L., Jiang, B., Gu, Y., and Ma, Z. (2021). Effects of wheat cultivar mixtures on population genetic structure of Puccinia striiformis f. sp. tritici. PhytoFrontiers, 0, 1-15.

u Sun, Q., Gao, J., Wang, S., Liu, J., Deng, J., Yang, L., Ding, M., Da, P., Huang, L., Shi, J., Ma, Z. (2026). Genetic connectivity shapes the population structure of Puccinia polysora in the pathogen’s winter-reproductive regions. Plant Disease, 110(2), 461-468. https://doi.org/10.1094/PDIS-03-24-0627-RE.

n 专利及标准

u 门兴元, 杨璐嘉, 李丽莉, 宋莹莹. 一种玉米南方锈病病情指数预测方法、存储介质和方法. 2025, 中国,  ZL202410399675.1

u 门兴元, 杨璐嘉, 李丽莉, 宋莹莹, 李付军. 一种防治作物病虫害的内生菌种子包衣装置及方法. 2025, 中国, CN202511205749.4