赵之淦

        国家级人才计划青年学者，博士生导师，主要从事作物生理生态和智慧农业的研究，在农业生态系统对气候环境变化适应机制与智慧农作管理方面取得重要研究成果，相关成果发表在Nature Climate Change、Nature Plants、Journal of Experimental Botany、Field Crops Research等农学领域国际主流期刊上。

目前研究活动                                        

研究项目：

• 小麦关键遗传基因效应的模拟与量化

• 不同基因型小麦的表型性状评估

• 基因型、环境和栽培管理相互耦合作用对小麦产量的影响机理与模型模拟

• 农业生态系统对气候环境变化适应机制与作物模拟模型

• 可持续集约化种植制度的限制因子探索及其环境生态效益优化

• 控施肥在作物生产系统的潜在作用及其模型模拟

 

国际合作研究项目：

• 农业模型比较和改进项目AgMIP主要作物模型、作物对气候变化响应模型模拟研究的核心成员（Key researcher of AgMIP-Wheat, AgMIP-Maize, AgMIP-Soil and AgMIP-Crop Rotations, AgMIP-C3MP, within the International Agricultural Model Inter-comparison and Improvement Project (AgMIP)）

• 欧洲农业应对气候变化及保证粮食安全研究的核心人员（Key researcher of MACSUR-CropM Upscaling and Response Surface activities within the Modelling European Agriculture with Climate Change for Food Security (MACSUR)）

研究方向                                             

• 作物生理生态和作物模拟模型（基于基因效应/生理过程的机理模拟模型）

• 土壤水分、碳和养分循环及其模型模拟

• 控施肥的养分施放机理及其模型模拟

教育背景和工作经历                                               

• 2024.1- 中国农业大学农学院，教授

• 2022.7-2024.1:    澳大利亚联邦科工组织（CSIRO），长聘高级研究科学家（Senior Research Scientist）

• 2018.8-2022.6:    澳大利亚联邦科工组织（CSIRO），长聘研究科学家（Research Scientist）

• 2015.1-2018.8:    澳大利亚联邦科工组织（CSIRO），博士后

• 2009.9-2014.12:  中国农业大学，农学与生物技术学院硕博连读，获作物生理学博士学位
  

• 2004.9-2008.6:    烟台大学，海洋学院生物工程专业本科，获工学学士学位

 

所获荣誉                                              

·         CSIRO卓越合作奖, 2018

·         首届中国作物学会优秀博士论文奖，2017

·         CSIRO卓越合作奖, 2017

·         国家奖学金，中国农业大学，2014

 

学术兼职                                             

·         国际农业模型比较项目（AgMIP）成员

·         欧洲农业应对气候变化与粮食安全项目（MACSUR）成员

·         国际农业期刊Nature Communications，Journal of Experimental Botany，Agronomy for Sustainable Development，Agricultural and Forest Meteorology，Field Crops Research，Nutrient Cycling in Agroecosystems，Plant and Soil审稿人

文章及著作发表                                      

1. Zhao, Z., Wang, E., Rebetzke, G.J., Kirkegaard, J.A.(2022). Novel wheat varieties facilitate deep sowing to beat the heat of changing climates. NatureClimate Change 12(3): 291-296.(https://doi.org/10.1038/s41558-022-01305-9)

2. E. Wang, P. Martre, Zhao, Z., F. Ewert, D. Cammarano, B.A. R.P. Rötter, P.D. Alderman,      Kimball, M.J. Ottman, G.W. Wall, J.W. White, M.P. Reynolds, P.V.V Prasad,      P.K. Aggarwal, B. Basso, C. Biernath, A.J. Challinor, G. De Sanctis, J.      Doltra, E. Fereres, S. Gayler, R. Goldberg, G. Hoogenboom, L.A. Hunt, J.      Ingwersen, R.C. Izaurralde, M. Jabloun, K.C. Kersebaum, A.-K. Koehler, D.      Lobell, C. Müller, S. Naresh Kumar, C. Nendel, G. O’ Leary, T. Palosuo, E.      Priesack, E. Eyshi Rezaei, A. Ruane, M.A. Semenov, I. Shcherbak, P.      Steduto, C. Stöckle, P. Stratonovitch, T. Streck, I. Supit, F. Tao, P.      Thorburn, M. Vignjevic, K. Waha, D. Wallach, J. Wolf, Z. Wang, Y. Zhu. S. Asseng      (2017). The uncertainty of crop      yield projections is reduced by improved temperature response functions.      Nature      Plants 3 https://doi.org/10.1038/nplants.2017.102

3. Liu,  Y., Cao, H., Du, C., Zhang, Z., Zhou, X., Yao, C., Sun, W., Xiao, X., Zhang, Y., Zhao, Z*., Zhencai Sun, Zhimin Wang. Resources, Conservation and Recycling  (2023) Novel water-saving cultivation system maintains crop yield while reducing environmental costs in North China Plain.  197, 107111.

4. Zhao, Z., Rebetzke, G. J., Zheng, B., Chapman, S. C., Wang, E.      (2019). Modelling impact of early vigour on wheat yield in dryland      regions.Journal of Experimental      Botany, 70: 2535-2548
   

5. Zhang, M., Gao, Y., Zhang, Y., Fischer, T., Zhao, Z.*, Zhou, X., Wang, Z., Wang, E. (2020). The      contribution of spike photosynthesis to wheat yield needs to be considered      in process-based crop models. Field Crops Research, 257, 107931.

6. Zhao, Z., Qin, X., Wang, E., Carberry, P., Zhang, Y., Zhou, S.,      Zhang, X., Hu, C., Wang, Z., (2015). Modelling to increase the eco-efficiency      of a wheat–maize double cropping system.Agriculture, Ecosystems      & Environment210, 36-46.

7. Zhao, Z., Wang, E., Wang, Z.,Zang, H., Liu Y., Angus J.F., (2014). A reappraisal of the critical nitrogen concentration of wheat      and its implications on crop modeling. Field  Crops Research, 164: 65-73.

8. Zhao, Z., Qin, X., Wang, Z., Wang, E. (2018). Performance of      different cropping systems across rainfall gradient in North China Plain.Agriculture  and Forest Meteorology, 259: 162-172

9. Zhao, Z., Wang, E., Xue, L., Wu, Y., Zang, H., Qin, X.,      Zhang, J., Wang, Z., (2014).      Accuracy of root modelling and its impact on simulated wheat yield and      carbon cycling in soil. Field Crops Research, 165:      99-110.

10. Zhao,      Z.,      Qin, X., Zang, H., Chen, C., Zhang, Y., Wang, Z. (2017) Value of      groundwater used for producing extra grain in North China Plain      Field Crops Research,210: 47-51.

11. Wang,      Y.*, Zhao, Z.*, Li, J., Zhang,      M., Zhou, S., Wang, Z., Zhang, Y., (2017). Does maize hybrid intercropping      increase yield due to border effects? Field Crops Research 214,      283-290.

12. Zhao, Z., Verburg K, Huth, N. (2017) Modelling sugarcane nitrogen      uptake patterns to inform design of controlled release fertiliser for synchrony      of N supply and demand.Field      Crops Research, 213: 51-64.

13. Zhao Z, Verburg K (2015) Modelling      nitrogen uptake by sugarcane crops to inform synchrony of N supply from      controlled release fertiliser. In      Weber, T., McPhee, M.J. and Anderssen, R.S. (eds) MODSIM2015, 21st International Congress on Modelling and      Simulation. Modelling and Simulation Society of Australia and New Zealand,      December 2015, pp. 420–426. ISBN: 978-0-9872143-5-5. (CPCI-S收录)

14. Zhao, Z., Wang, E., Xue, L., Wu, Y., Zhang, J., Wang, Z., (2013).      Accuracy of root modeling and its potential impact on simulation of grain      yield of wheat. In Piantadosi, J., Anderssen, R.S. and Boland J. (eds) MODSIM2013, 20th International      Congress on Modelling and Simulation. Modelling and Simulation Society of      Australia and New Zealand, December 2013, pp. 656-662. ISBN: 978-0-9872143-3-1. (CPCI-S收录)

15. Liu, B., Asseng, S., Muller,      C., Ewert, F., Elliott, J., Lobell, D.B., Martre, P., Ruane, A.C.,      Wallach, D., Jones, J.W., Rosenzweig, C., Aggarwal, P.K., Alderman, P.D., ...,      Zhao, Z., Zhu, Y., (2016).      Similar estimates of temperature impacts on global wheat yield by three      independent methods. Nature Climate Change. DOI: 10.1038/NCLIMATE3115

16. Asseng,      S., F. Ewert, P. Martre, R.P. Rötter, D.B. Lobell, D. Cammarano, B.A.      Kimball, M.J. Ottman, G.W. Wall, J.W. White, M.P. Reynolds, P.D. Alderman,      ..., Zhao, Z., and Y. Zhu.,      (2015). Rising temperatures reduce global wheat      production. NatureClimate Change5, 143-147.https://doi.org/10.1038/nclimate2470

17.  Liu, B., Asseng, S., Muller, C., Ewert, F., Elliott, J., Lobell, D.B., Martre, P., Ruane, A.C., Wallach, D., Jones, J.W., Rosenzweig, C., Aggarwal, P.K., Alderman, P.D., ...,Thorburn, P., Waha, K., Wall, G.W., Wang, E., White, J.W., Wolf, J., Zhao, Z., Zhu, Y. Global wheat production with 1.5 and 2.0 C above pre‐industrial warming. Global Change Biology 2019, 25, (4), 1428-1444.

18.  Asseng, S., F. Ewert, P. Martre, R.P. Rötter, D.B. Lobell, D. Cammarano, B.A. Kimball, M.J. Ottman, G.W. Wall, J.W. White, M.P. Reynolds, P.D. Alderman, ..., Zhao, Z., and Y. Zhu. Climate change impact and adaptation for wheat protein. Global Change Biology 2019, 25, (1), 155-173.

19. Wang, E., Brown, H. E., Rebetzke, G. J., Zhao, Z., Zheng, B., Chapman, S.      C. (2019). Improving process-based crop models to better capture genotype      x environment x management interactions. Journal of Experimental Botany, 70: 2389-2401

20. Xu, X., Zhang, M., Li, J., Liu, Z., Zhao, Z., Zhang, Y., Zhou, S., Wang, Z., Improving water use efficiency and grain yield of winter wheat by optimizing irrigations in the North China Plain. Field crops research 2018, 219-227.

22. Celestina,      C., Hunt, J., Brown, H., Huth, N., Andreucci, M., Hochman, Z., Bloomfield,      M., Porker, K., McCallum, M., ..., Zhao, Z.,Harris, F.J.E.J.o.A. (2023) Scales of development for wheat and      barley specific to either single culms or a population of culms.  147, 126824.

24. Wu,      Y., Wang, E., Gong, W., Xu, L., Zhao, Z., He, D., Yang, F., Wang, X., Yong, T., Liu, J.J.F.C.R. (2023)      Soybean yield variations and the potential of intercropping to increase      production in China.  291, 108771.

25. ZHANG,      W.-N., ZHAO, Z.-g., Di, H., LIU, J.-h., LI, H.-g., WANG, E.-l.J.J.o.I.A. (2023)      Combining field data and modeling to better understand maize growth      response to phosphorus (P) fertilizer application and soil P dynamics in      calcareous soils.

26. Liu,  B., Martre, P., Ewert, F., Webber, H., Waha, K., Thorburn, P.J., Ruane,      A.C., Aggarwal, P.K., Ahmed, M., Balkovic, ..., Zhao, Z., J.J.O.D.J.f.A.R. (2023) AgMIP-Wheat multi-model simulations on      climate change impact and adaptation for global wheat,      SDATA-20-01059.  9, 10-25.

27. Celestina,      C., Hunt, J., Kuchel, H., Harris, F., Porker, K., Biddulph, B.,      Bloomfield, M., McCallum, M., Graham, R., ..., Zhao, Z., Matthews, P.J.E.J.o.A. (2023) A cultivar phenology classification      scheme for wheat and barley.  143,      126732.

28.  Lu Y, Wang E, Zhao Z, Liu X, Tian A, Zhang X. Optimizing irrigation to reduce N leaching and maintain high crop productivity through the manipulation of soil water storage under summer monsoon climate. Field Crops Research 2021, 265: 108110.

29. Wu, Y., He, D., Wang, E., Liu, X., Huth, N. I., Zhao, Z., Gong, W., Yang, F., Wang, X., Yong, T. (2021). Modelling      soybean and maize growth and grain yield in strip intercropping systems      with different row configurations. Field Crops Research, 265, 108122.

30. Wang      E, He D, Zhao Z, Smith CJ, Macdonald BCT, 2020. Using a systems      modeling approach to improve soil management and soil quality. Frontiers      ofAgricultural Science and Engineering DOI:      10.15302/j-fase-2020337.

31. Constantin,      J., Raynal, H., Casellas, E., Hoffmann, H., Bindi, M., Doro, L.,      Eckersten, H., Gaiser, T., Grosz, B., Haas, E., Kersebaum, K.-C., Klatt,      S., Kuhnert, M., Lewan, E., Maharjan, G.R., Moriondo, M., Nendel, C.,      Roggero, P.P., Specka, X., Trombi, G., Villa, A., Wang, E., Weihermüller,      L., Yeluripati, J., Zhao, Z., Ewert, F., Bergez, J.-E., 2019.      Management and spatial resolution effects on yield and water balance at      regional scale in crop models. Agricultural and Forest Meteorology      275, 184-195..

32. Smith,      C.J., Hunt, J.R., Wang, E., Macdonald, B.C., Xing, H., Denmead, O.,      Zeglin, S., Zhao, Z., 2019. Using fertiliser to maintain soil      inorganic nitrogen can increase dryland wheat yield with little      environmental cost. Agriculture, Ecosystems & Environment      286, 106644.

33. Wu,      Y., Wang, E., He, D., Liu, X., Archontoulis, S.V., Huth, N.I., Zhao,      Z., Gong, W., Yang, W., 2019. Combine observational data and modelling      to quantify cultivar differences of soybean. European Journal of      Agronomy 111, 125940.

34. Verburg, K., Zhao, Z., JS Biggs and PJ Thorburn, (2016). Controlled release      fertilisers – lessons from a review and early results characterising      release, synchrony and nitrogen losses. International Sugar Journal.      118, 764-770.

35. Verburg, K., Bristow, K.L., McLachlan, G.D., Muster, T.H., Poole, J.M., Mardel, J.I., Zhao, Z., Wittwer-Schmid, K., Wong, M.T.F., 2021. Understanding soil water effects on nitrogen release from controlled-release fertilizers. Soil Science Society of America Journal 85, 59-72.

36. Martre, P., Kimball, B. A., Ottman, M. J., Wall, G. W., White, J. W., Asseng, S., Ewert, F., Cammarano, D., Maiorano, A., Aggarwal, P. K., ..., Zhao, Z., ..Zhu, Y. The Hot Serial Cereal Experiment for modeling wheat response to temperature: field experiments and AgMIP-Wheat multi-model simulations. Open Data Journal for Agricultural Research 2018, 4, 28-34.

37.  Durand, J.-L., Delusca, K., Boote, K., Lizaso, J., Manderscheid, R., Weigel, H. J., Ruane, A. C., Rosenzweig, C., Jones, J., …, Zhao, Z., Ahuja, L., How accurately do maize crop models simulate the interactions of atmospheric CO2 concentration levels with limited water supply on water use and yield? European journal of agronomy 2018, 100, 67-75.

38. Wang, E., Smith, C. J., Macdonald, B. C. T., Hunt, J. R., Xing, H.,      Denmead, O. T., Zeglin, S., Zhao,      Z. and Isaac, P. (2018). Making sense of cosmic-ray soil moisture      measurements and eddy covariance data with regard to crop water use and      field water balance. Agricultural Water Management 204,      271-280.

39. Fronzek, S., Pirttioja, N., Carter, T.R., Bindi, M., ..., Waha, K.,      Wang, E., Wu, L., Zhao, Z.,      Rötter, R.P., (2018). Classifying      multi-model wheat yield impact response surfaces showing sensitivity to      temperature and precipitation change. Agricultural Systems.https://doi.org/10.1016/j.agsy.2017.08.004

40. Martre, P., Reynolds, M.,      Asseng, S., Ewert, F., Alderman, P., ..., E. Wang., D. Wallach, J.      Wolf, Zhao, Z., Y. Zhu, (2018). The      International Heat Stress Genotype Experiment for modeling wheat response      to heat: field experiments and AgMIP-Wheat multi-model simulations. Open      Data Journal for Agricultural Research.3. pp. 23-28. ISSN 2352-6378

41. Durand,      J.-L., Delusca, K., Boote, K., ..., Wang, E., Webber, H., Zhao, Z., (2017). How accurately      do maize crop models simulate the interactions of atmospheric CO2      concentration levels with limited water supply on water use and yield? European      Journal of Agronomy.https://doi.org/10.1016/j.eja.2017.01.002

42. Wang, B., Zhang, Y., Hao, B.,      Xu, X., Zhao, Z., Wang, Z.,      Xue, Q., (2016). Grain Yield and Water Use Efficiency in Extremely-Late      Sown Winter Wheat Cultivars under Two Irrigation Regimes in the North      China Plain. PloS one 11, http://dx.doi.org/10.1371/journal.pone.0153695

43. Maiorano, A., Martre, P., Asseng, S., Ewert, F., Müller, C., Rötter,      R.P., ..., White, J.W., Zhao, Z.,      Zhu, Y., (2016). Crop model improvement reduces the uncertainty of      the response to temperature of multi-model ensembles. Field Crops Research.http://dx.doi.org/10.1016/j.fcr.2016.05.001

44. Kuhnert, M., Yeluripati, J., Smith,      P., Hoffmann, H., ..., Zhao, Z.,      Ogle, S., Ewert, F., (2016).Impact      analysis of climate data aggregation at different spatial scales on      simulated net primary productivity for croplands. European Journal of      Agronomy. (http://dx.doi.org/10.1016/j.eja.2016.06.005)

45. Hoffmann, H., Zhao, G., van Bussel, L., Enders, A.,      Xenia, S., Carmen, S., Jagadees, Y., Fulu, T., Julie, C., Edmar, T.,      Balasz, G., Luca, D., Zhao, Z.,      ..., Ewert, F., (2015). Variability      of effects of spatial climate data aggregation on regional yield      simulation by crop models. Climate Research 65, 53-69.

46. Zhao, G., Hoffmann, H., van Bussel, L., Enders, A.,      Xenia, S., Carmen, S., Jagadees, Y., Fulu, T., Julie, C., Edmar, T.,      Balasz, G., Luca, D., Zhao, Z.,      …, Ewert, F., (2015). Effect of weather data aggregation on regional crop      simulation for different crops, production conditions, and response      variables. Climate Research 65, 141-157.

47. Pirttioja, N.,      Carter, T.R., Fronzek, S., Bindi, M., Hoffmann, H., …, Wang, E., Wu, L., Zhao, Z., Rötter, R.P., (2015).      Temperature and precipitation effects on wheat yield across a European      transect: a crop model ensemble analysis using impact response surfaces. Climate      Research 65, 87-105.

48. Grosz, B., Dechow,      R., Gebbert, S., Hoffmann, H., Zhao, G., Constantin, J., Raynal, H.,      Wallach, D., Coucheney, E., Lewan, E., Eckersten, H., Specka, X.,      Kersebaum, K.-C., Nendel, C., Kuhnert, M., Yeluripati, J., Haas, E.,      Teixeira, E., Bindi, M., Trombi, G., Moriondo, M., Doro, L., Roggero,      P.P., Zhao, Z., Wang, E., Tao,      F., Rötter, R., Kassie, B., Cammarano, D., Asseng, S., Weihermüller, L.,      Siebert, S., Gaiser, T., Ewert, F., (2017). The implication of input data      aggregation on up-scaling soil organic carbon changes. Environmental      Modelling & Software 96, 361-377.

49. Wang, B., Zhang, Y.,      Hao, B., Han, M., Zhao, Z.,      Wang, Z., Xue, Q., (2017). Late sowing with high seeding rate increases      wheat water use efficiency under deficit irrigation. Journal of Soil and Water      Conservation 72, 629-638.(in Chinese with English      abstract)

50. 薛丽华, 王志敏, 郭志伟, 刘云鹏, 赵之淦, 2010. 麦田不同灌水处理对土壤酶活性时空分布的影响. 水土保持学报, 228-232.

51. Zhao Z, Wang E, Wang Z, Carberry P, Zhou      S (2013). Modeling to increase the eco-efficiency of a wheat-maize double      cropping system. Proceedings of 4th International Symposium for Farming      Systems Design, 19-22 August 2013 （会议论文）Lanzhou,      China, 49-50,  www.fsd2013.com

52. Zhao Z, Wang E, Rebetzke GJ, Zheng B,      Chapman SC (2019). Modelling impact of climate and soil interactions on      yield benefit from early vigour of wheat. Proceedings of the 19^th      Australian Agronomy Conference: Cells to Satellites, 25-29 August 2019,（会议论文） Wagga Wagga, Australia, http://www.agronomyaustraliaproceedings.org/images/sampledata/2019/2019ASA_Zhao_Zhigan_217.pdf

53. Rebetzke G, Bechaz K, Murfit M, Bange G,      Rathjen T, Dreccer F, Muller, Fletcher A, Zheng B, Wang E, Zhao Z,      Fettell N (2019). Establishing a value proposition for future traits in a      climate-changing world. Proceedings of the 19^th Australian      Agronomy Conference: Cells to Satellites, 25-29 August 2019, （会议论文）Wagga      Wagga, Australia, http://www.agronomyaustraliaproceedings.org/images/sampledata/2019/2019ASA_Rebetzke_Greg_124.pdf

54. Zhao,      Z.,      K Verburg, (2016). Modelling nitrogen release from controlled-release      fertilisers in Australian sugar systems. （会议论文）Proc Conf Aust Soc Sugar Cane Technol, pp. 145.

55. Wang, E., Zhao, Z., Chen, C., Smith, C.J.,      2012. Role of Modelling in Climate and Soil Management to Increase Crop      Water Use Efficiency. FAO/IAEA Symposium on Managing      Soils for Food Security and Climate Change Adaptation and      Mitigation.（会议论文）Food and Agriculture      Organization of the United Nations (FAO), pp. 275-279, ISBN 978-92-5-108552-3.

56. Wang, E., Zhao, Z., 2013. Improving APSIM      for simulation of temperature response of wheat (APSIM-WheatE). Modeling      Wheat Response to High Temperature, （会议论文）CIMMYT, pp. 28-29.

57. K Verburg, Zhao, Z., JS      Biggs and PJ Thorburn, (2016). Controlled release fertilisers – lessons      from a review and early results characterising release, synchrony and      nitrogen losses. （会议论文）Proc Conf Aust Soc Sugar Cane Technol, pp. 159-169.

本科生课程：近十年课程数据

横向项目

软件著作 专利