刘兵 教授

学术经历： 

2007.9-2011.6    南京农业大学，农学院，本科/学士（金善宝实验班）

2010.9-2016.9    南京农业大学，农学院，作物信息学博士（导师：朱艳、曹卫星教授）

2014.11-2016.6   美国佛罗里达大学，农业和生物工程系（国家公派联合培养）

2016.11-2017.5   美国佛罗里达大学，农业和生物工程系，博士后（合作导师：Senthold Asseng教授）

2017.5-2020.12   南京农业大学，国家信息农业工程技术中心，副教授（高层次人才引进）

2021.1-至今      南京农业大学，国家信息农业工程技术中心，教授

从事专业: 农业信息学

部分论著：

1. Kang M, Zhang D, Cao Y, Xiao L, Tang L, Liu L, Cao W, Zhu Y, Liu B*. Integrative adaptation strategies for stabilizing wheat productivity with rising temperatures in China. Agricultural Systems, 2026, 231.

2. Zhang L, Ma J, Guo C, Tian J, Tian Y, Tang L, Liu B, Zhu Y, Cao W, Xiao L, Liu L.Balanced N-K fertilization in wheat: High-yield synergy with minimal soil-nitrate legacy. Field Crops Research, 2026, 336.

3. Wang S, Xiao L, Smith P, Luo Z, Zhuang J, Yu L, Qin Y, Wang E, Fan Y, Guo Y, Tang L, Liu B, Liu L, Cao W, Zhu Y. Improving soil quality enables reductions in nitrogen application rate in China's rice production systems. Agricultural Systems, 2026, 231.

4. Osman R, Zhu Y, Cao W, Ding Z, Wang M, Liu L, Tang L, Liu B*. Modeling the effects of extreme high-temperature stress at anthesis and grain filling on grain protein in winter wheat. Crop Journal, 2021, 9(4): 889-900.

5. Yao B, Wang Y, Liu L, Liu B, Xiao L, Zhu Y, Cao W, Yang Y, Wilson L, Wang E, Tang L. Revisiting the critical nitrogen dilution curve for rice. Field Crops Research, 2025, 332.

6. Zhang L, Cao Y, Qian W, Tian J, Huang S, Qiu X, Liu B, Tang L, Xiao L, Cao W, Zhu Y, Liu L. Spatiotemporal optimization of irrigation practices for winter wheat in China: Rationale, implications, and solutions. Agricultural Water Management, 2025, 308.

7. Zib B, Ji W, Ye T, Tian J, Liu B, Tang L, Cao W, Xiao L, Liu L, Zhu Y. Impact of nitrogen and irrigation on the dynamic pattern of protein and starch concentration in the developing grains of winter wheat. Journal of The Science of Food and Agriculture, 2025.

8. Zhang Z, Zhang J, Yu W, Liu B, Jiang C, Liu L, Xiao L, Zhu Y, Cao W, Tang L. Multiple agricultural Machinery cooperative operations based on multi-algorithm models and multi-scenario analysis. Computers and Electronics in Agriculture, 2025, 239.

9. Yan W, Liang X, Li Y, Jiang X, Liu B*, Liu L, Feng J, Karikari B, Zhao T, Jiang H, Zhu Y*. Genome-wide association analyses for revealing QTN, QTN-by-environment and QTN-by-QTN interactions in soybean phenology. Theoretical and Applied Genetics, 2025, 138(6).

10. Kang M, Zhang H, Yang S, Yang Q, Xiao L, Liu L, Tang L, Cao We, Zhu Y, Liu B*. Dominant sources of prediction uncertainty in wheat crop models vary by simulation outputs. Field Crops Research, 2025, 334.

11. Kang M, Zhang L, Qin T, An J, Wang C, Wang S, Ali I, Liu B, Liu L, Tang L, Cao W, Zhu Y, Xiao L. Bridging chlorophyll content and vertical nitrogen distribution for accurate canopy photosynthesis simulation. Computers and Electonics in Agriculture, 2025, 239.

12. Zib B, Ji W, Ye T, Tian J, Liu B, Tang L, Cao W, Xiao L, Liu L, Zhu Y. Impact of nitrogen and irrigation on the dynamic pattern of protein and starch concentration in the developing grains of winter wheat. Journal of the Science of Food and Agriculture, 2025, 105(14):8001-8013.

13. Zhang J, Zhang S, Yang Y, Yan W, Lin X, Wilson L, Liu B, Liu L, Xiao L, Zhu Y, Cao W, Tang L. Integrating crop models, single nucleotide polymorphism, and climatic indices to develop genotype-environment interaction model: A case study on rice flowering time. Plant Phenomics, 2025, 7(1).

14. Wang S, Liu Y, Asseng S, Harrison M, Tang L, Liu B, Liu K, Luo Z, Wang E, Chang J, Qiu X, Liu L, Zhang X, Cao W, Zhu Y, Xiao L. Rice yield stability and its determinants across different rice-cropping systems in China. Agricultural and Forest Meteorology, 2025, 364.

15. Garcia-Vila M, dos Santos V, Harrison M Liu K, de S. Noia-Junior R, Weber T, Zhao J, Acutis M, Archontoulis S, Asseng S, Aubry P, Balkovic J, Basso B, Chen X, Chen Y, de Jong van L, Delandmeter M, de Wit A, Dumont B, Ferrise R, Folberth C, Gabbrielli M, Gaiser T, Gorooei A, Hoogenboom G, Kersebaum K, Kim Y, Kraus D, Liu B, Martin L, Metselaar K, Nendel C, Padovan G, Perego A, Seserman D, Scheer C, Shelia V, Stocca V, Tao F, Wang E, Webber H, Zhao Z, Zhu Y, Palosuo T. Gaps and strategies for accurate simulation of waterlogging impacts on crop productivity. Nature Food, 2025, 6(6):553-562.

16. Cao Y, Yin T, Zhang Yu,Yang X, Liu B, Zhu Y, Tang L, Xiao L, Cao W, Liu L.Quantitative assessment of the effects of rising temperature on the grain protein of winter wheat in china and its adaptive strategies. Computers and Electronics in Agriculture, 2024, 226.

17. Kang M, Wang S, Xu Z, Xu C, An J, Zhang Y, Zeng Y, Ali I, Tang L, Xiao L, Liu B, Liu L, Cao W, Zhu Y. Simulating the effects of low-temperature stress during flowering stage on leaf-level photosynthesis with current rice models. Agriculture and  Forest Meteorology, 2024, 354.

18.Cao Y, Qiu X, Kang M, Zhang L, Lu W, Liu B, Tang L, Xiao L, Zhu Y, Cao W, Liu L. Evaluating the impacts of climatic factors and global climate change on the yield and resource use efficiency of winter wheat in China. European Journal of Agronomy, 2024, 159.

19. Zhang J, Lin X, Jiang C, Hu X, Liu B, Liu L, Xiao L, Zhu Y, Cao W, Tang L. Predicting rice phenology across China by integrating crop phenology model and machine learning. Science of The Total Environment, 2024, 951.

20. Yang C, Lei N, Menz C, Ceglar A, Matallana J, Li S, Jiang Y, Tan X, Tao L, He F, Li S, Liu B*, Yang F, Fraga H, Santos J*. Regional uncertainty analysis between crop phenology model structures and optimal parameters. Agricultural and Forest Meteorology, 2024, 355.

21. Shi J, Ding Z, Ge X, Qiu X, Xu J, Xiao L, Liu L, Tang L, Cao W, Zhu Y, Liu B*. Compound extreme heat and drought stress alter the spatial gradients of protein and starch in wheat grains. Agricultural Water Management, 2024, 303.

22. Cao Y, Yin T, Zhang Y, Yang X, Liu B, Zhu Y, Tang L, Xiao L, Cao W,  Liu L. Quantitative assessment of the effects of rising temperature on the grain protein of winter wheat in china and its adaptive strategies. Computers and Electronics in Agriculture, 2024.

23. Ji W, Osman R, Ma J, Jiang X, Wang L, Xiao L, Tang L, Cao W, Zhu Y, Liu B*, Liu L*. Improving Process-Based Modelling to Simulate the Effects of Low-Temperature Stress During Pre-Anthesis on the Quality Characteristics of Wheat Grains. Plant Cell and Environment, 2024.

24. Ye T, Zhang Y, Xuan J, Wang X, Li Y, Xu J, Xiao L, Liu L, Tang L, Cao W, Liu B*, Zhu Y*. Development of a novel critical nitrogen concentration-cumulative transpiration curve for optimizing nitrogen management under varying irrigation conditions in winter wheat. Crop Journal, 2024, 12(4):1242-1251.

25. Wang W, Xiao L, Mahmood A, Xu H, Tang L, Liu L, Liu B, Cao W, Zhu Y. Individual and combined effects of high-temperature stress at booting and flowering stages on rice grain quality. Jourmal of The Science of Food and Agriculture, 2024.

26. Mahmood A, Wang W, Raza M, Ali I, Liu B, Liu L, Zhu Y, Tang L, Cao W. Quantifying the Individual and Combined Effects of Short-Term Heat Stress at Booting and Flowering Stages on Nonstructural Carbohydrates Remobilization in Rice. Plants-Basel, 2024, 13(6).

27. Sun T, Zhang X, Lv S, Lin X, Ma J, Liu J, Fang Q, Tang L, Liu L, Cao W, Liu B*, Zhu Y*. Improving the predictions of leaf photosynthesis during and after short-term heat stress with current rice models. Plant Cell and Environment, 2023.

28. Kang M, Wang X, Chen J, Fang Q, Liu J, Tang L, Liu L, Cao W, Zhu Y, Liu B*. Extreme low-temperature events can alleviate micronutrient deficiencies while increasing potential health risks from heavy metals in rice. Environmental  Pollution, 2023, 334.

29. Xiao L, Asseng S, Wang X, Xia J, Zhang P, Liu L, Tang L, Cao W, Zhu Y, Liu B*. Simulating the effects of low-temperature stress on wheat biomass growth and yield. Agricultural and Forest Meyeorology, 2022, 326.

30. Ye T, Ma J, Zhang P, Shan S, Liu L, Tang L, Cao W, Liu B*, Zhu Y*. Interaction effects of irrigation and nitrogen on the coordination between crop water productivity and nitrogen use efficiency in wheat production on the North China Plain. Agricultural Water Management, 2022, 271.

31. Osman R, Zhu Y, Cao W, Ding Z, Wang M, Liu L, Tang L, Liu B*. Modeling the effects of extreme high-temperature stress at anthesis and grain filling on grain protein in winter wheat. The Crop Journal, 2021, 9(04):889-900.

32. Liu B, Zhang D, Zhang H, Asseng S, Yin T, Qiu X, Ye Z, Liu L, Tang L, Cao W*, Zhu Y*. Separating the impacts of heat stress events from rising mean temperatures on winter wheat yield of China. Environmental Research Letters, 2021, 16(12): 124035.

33. Sun T, Hasegawa Toshihiro, Liu B, Tang L, Liu L, Cao W, Zhu Y. Current rice models underestimate yield losses from short-term heat stresses. Global  Change Biology, 2021,27(2):402-416.

34. Liu B, Xiao L,  Zhang H, Gu J, Fu T,  Asseng S, Liu L, Tang L, Cao W*, Zhu Y*.  Modeling the response of winter wheat phenology to low temperature stress at elongation and booting stages. Agricultural and Forest Meteorology,  2021, 303.

35. Osman R, Zhu Y, Ma W, Zhang D, Ding Z, Liu L, Tang L, Liu B*, Cao W*. Comparison of wheat simulation models for impacts of extreme temperature stress on grain quality. Agricultural and Forest Meteorology, 2020, 288.

36. Liu B, Liu L, Asseng S, Zhang D, Ma W, Tang L, Cao W, Zhu Y. Modelling the effects of post-heading heat stress on biomass partitioning, and grain number and weight of wheat. Journal of Experimental Botany, 2020, 71(19):6015-6031.

37. Qiu X, Ye Z, Chen J, Davide C, Ge Z, Alex C, Liu L, Tang L, Cao W, Liu B*, Zhu Y*. Impacts of 1.5 degrees C and 2.0 degrees C global warming above pre-industrial on potential winter wheat production of China. European Journal of Agronomy, 2020,120.

38. Liu B, Martre P, Ewert F, ..., Zhu Y*, Asseng S*. Global wheat production with 1.5 and 2.0 degrees C above pre-industrial warming. Global Change Biology, 2019, 25(4): 1428-1444.

39. Liu B, Asseng S, Wang A, Wang S, Tang L, Cao W, Zhu Y*, Liu L*. Modelling the effects of post-heading heat stress on biomass growth of winter wheat. Agricultural and Forest Meteorology, 2017, 247: 476-490.

40. Liu B, Asseng S, Müller C,  ……, Yan Zhu*. Similarnegative impacts of temperature on global wheat yield estimated by threeindependent methods. Nature ClimateChange, 2016, 6:1130-1138.

41. Liu B, Asseng S, Liu L, Tang L, Cao W, Zhu Y*. Testing the responses of four wheat crop models to heat stressat anthesis and grain filling. GlobalChange Biology, 2016, 22(5), 1890-1903.

42. Liu B, Liu L, Asseng S, Zou X, Li J, Cao W, Zhu Y*. Modelling the effects of heat stress on post-headingdurations in wheat: A comparison of temperature response routines. Agricultural and Forest Meteorology, 2016, 222, 45-58.

43. Liu B, Liu L, Tian L, Cao W, Zhu Y*, Senthold Asseng. Post-heading heat stress and yield impact in winter wheat of China. Global Change Biology, 2014, 20(2):372-381.

44. 王雪, 康敏, 王偲媛, 曹卫星, 朱艳, 刘兵*. 不同光合-CO²响应模型对水稻快速A-Ci响应（RACiR）曲线拟合效果的比较研究, 南京农业大学学报, 2022,45(06):1099-1106.

45. 肖浏骏, 刘蕾蕾, 邱小雷, 汤亮, 曹卫星, 朱艳, 刘兵*. 小麦生长模型对拔节期和孕穗期低温胁迫响应能力的比较, 中国农业科学, 2021, 54(3):504-521.

46. 朱艳, 汤亮, 刘蕾蕾, 刘兵, 张小虎, 邱小雷, 田永超, 曹卫星. 作物生长模型(CropGrow)研究进展, 中国农业科学, 2020,53(16):3235-3256.

专利和软件著作权: 

1. 刘兵，山嵩，刘佳明，汤亮，刘蕾蕾，肖浏骏，朱艳，曹卫星. 一种作物生产-温室气体排放协同模拟方法、系统及装置，ZL202410808738.X，2024.

2. 刘兵，张培，邱小雷，刘蕾蕾，汤亮，曹卫星，朱艳. 小麦生产力和麦田温室气体排放协同模拟系统V1.0, 2023SR0733157，2023.

3. 刘兵，葛新，石姜懿，汤亮，刘蕾蕾，朱艳，曹卫星. 一种小麦花后冠层蒸散建模的方法、系统及装置，ZL202310329206.8，2023.

4. 刘兵，章湖鑫，邱小雷，王雪，汤亮，刘蕾蕾，张小虎，朱艳，曹卫星. 一种生产力预测不确定性计算方法、系统及装置，AL201710237013.4，2020.