1. 基本信息

李曼菲，女，副教授，博士生导师。2016年本科毕业于中国农业大学动物科技学院，2021年博士毕业于美国威斯康星大学麦迪逊分校奶业与动物科学学院，2023年结束于美国威斯康星大学麦迪逊分校奶业与动物科学学院博后工作，同年入职taptap国际服苹果版动物科技学院。

1.研究方向

动物多模态感知与牧场智能决策

长期聚焦动物多模态感知与牧场智能决策的跨学科研究，整合物联网、大数据分析和人工智能技术，构建覆盖牧场全链条的智能化管理理论与技术体系。研究以系统管理为核心，开发多源数据融合算法与智能决策模型，贯通数据采集、知识挖掘到决策优化的闭环，应用于精准饲喂、管理优化和疾病早期预警等场景。积极推动“AI+畜牧”创新，研发智慧养殖大模型（司牧），推动养殖业向数据驱动、资源优化、全要素精准管理的智慧养殖新范式发展。

2.开设课程

承担本科生《智慧牧场案例》、《智慧牧场开发实践》、《智慧牧业导论》、研究生《动物营养与饲养学》、《智慧养殖前沿与应用案例》和《现代畜牧业专题》等课程教学工作。开发智慧牧业教育教学平台，赋能校内外智牧相关专业课程开展。

3.学术项目/成果

主持项目

基于大数据和人工智能的奶牛个体营养需要动态模型研究，青年科学基金项目（C类），2026-2028,30万

论文

Li, M., K. F. Reed, and V. E. Cabrera. 2023. A time series analysis of milk productivity in US dairy states. Journal of Dairy Science 106:6232-6248.  https://doi.org/10.3168/jds.2022-22751  .

Li, M., K. F. Reed, M. R. Lauber, P. M. Fricke, and V. E. Cabrera. 2023. A stochastic animal life cycle simulation for a whole dairy farm system model: Assessing the value of combined heifer and lactating dairy cow reproductive management programs.  Journal of Dairy Science 106:3246-3267.  https://doi.org/10.3168/jds.2022-22396  .

Li, M., K. Reed, G. Rosa, and V. E. Cabrera. 2022. Investigating the impact of temporal, geographic, and management factors on US Holstein lactation curve parameters. Journal of Dairy Science 105:7525-7538.  https://doi.org/10.3168/jds.2022-21882  .

Hansen, T. L., M. Li, J. Li, C. J. Vankerhove, M. A. Sotirova, J. M. Tricarico, V. E. Cabrera, E. Kebreab, and K. F. Reed. 2021. The Ruminant Farm Systems Animal Module: A Biophysical Description of Animal Management and Industry Applications. Animals 11(5): 1373. https://doi.org/10.3390/ani11051373

Ricci, A., M. Li, P. M. Fricke, and V. E. Cabrera. 2020. Short Communication: Economic impact among 7 reproductive programs for lactating dairy cows including a sensitivity analysis of the cost of hormonal treatments. Journal of Dairy Science 103:5654–5661. https://doi.org/10.3168/JDS.2019-17658  .

会议

Li, M., K. F. Reed, and V. E. Cabrera. A time-series analysis of milk productivity changes in US dairy states. 2022. Presented at the ICAR 2022 annual meeting, proceeding paper published.

Cabrera, V. E., and M. Li. 2022. The impact of the voluntary waiting period, the dry period, and their interactions. 2022 Dairy Cattle Reproduction Council Annual Meeting, November 15-17, 2022, Middleton, Wisconsin. Paper.  Hoard’s Dairyman Intel  .

V. E. Cabrera and M. Li. Decision making for sexed semen and beef semen in dairy production. Presented at the AABP 2022 annual meeting, proceeding paper published.

Li, M., K. F. Reed, and V. E. Cabrera. A time-series analysis of increasing milk productivity and yearly seasonality. 2020. J. Dairy Sci. 104(Suppl. 1): M-19. Presented at American Dairy Science Association (ADSA) 2020 annual meeting.

Li, M., K. F. Reed, and V. E. Cabrera. An application of the Ruminant Farm System Model (RuFaS): The use of a combination of sexed and beef semen on dairy herds. 2020. J. Dairy Sci. 104(Suppl. 1): M-126. Presented at ADSA 2020 annual meeting.

Li, M., K. F. Reed, and V. E. Cabrera. A stochastic animal life-cycle simulation model and its herd structure. 2019. J. Dairy Sci. 102(Suppl. 1): M-128. Presented at ADSA 2019 annual meeting.

Li, M., K. F. Reed, and V. E. Cabrera. Updating Holstein and Jersey lactation curve parameters for the Rumination Farm System Model (RuFaS). 2019. J. Dairy Sci. 102(Suppl. 1):96. Presented at ADSA 2019 annual meeting.

Li, M., K. F. Reed, and V. E. Cabrera. Comparison of Holstein and Jersey milk production with a new stochastic model. 2018. J. Dairy Sci. 100(Suppl. 2): M-207. Presented at ADSA 2018 annual meeting.

Li, M., K. F. Reed, and V. E. Cabrera. Modeling the animal life-cycle sub-module of the Ruminant Farm Systems Model. 2018. Can. J. Anim. Sci. Vol. 98: 905. Presented at 2018 Meeting of the Animal Science Modelers’ Group.

Da Silva, T., S. R. Wangen, M. Li, F. Zhang, and V. E. Cabrera. 2023.Feed efficiency and income over feed cost in dairy herds: how can data integration help farmers monitor these and other key performance indicators on a continuous basis? 2nd US Precision Livestock Conference, May 21-23, 2023. Knoxville, TN.

Gong, Y., M. Li, M. A., Sotirova, K.F. Reed, and V. E. Cabrera. 2022. Animal life cycle submodule on Ruminant Farms Systems (RuFaS) model: a sensitivity analysis to evaluate heifer reproductive protocols. American Dairy Science Association Annual Meeting (ADSA), Kansas City, MO, 19-22 June 2022.

Reed, K. F., D. V. Nydam, M. Li, and V. E. Cabrera. 2021. Application of the Ruminant Farm Systems model (RuFaS) to assess the environmental impact of reproductive strategies in dairy farms. Annual Conference of the American Association of Bovine Practitioners. Salt Lake City, Utah. 7-9 October 2021.

Ricci, A., M. Li, P. M. Fricke, and V. E. Cabrera. 2019. The reproductive and economic impact among 6 reproductive programs for lactating dairy cows including a sensitivity analysis of the cost of hormonal treatments. Journal of Dairy Science 102: (Suppl. 1): W115.

4.联系方式

通讯地址：陕西杨凌西农路22号 taptap国际服苹果版动物科技学院

邮编：712100

Email：limanfei@nwafu.edu.cn