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Chinese Journal of Applied Ecology ›› 2016, Vol. 27 ›› Issue (7): 2292-2300.doi: 10.13287/j.1001-9332.201607.026

• Special Features for the 28 th National Symposium on Landscape Ecology • Previous Articles     Next Articles

Maize biomass simulation based on dynamic photosynthate allocation.

MA Xue-yan1,2, ZHOU Guang-sheng1,3*   

  1. 1Chinese Academy of Meteorological Sciences, Beijing 100081, China;
    2Nanjing University of Information Science and Technology, Nanjing 210044, China;
    3Collaborative Innovation Center on Forecast Meteorological Disaster Warning and Assessment, Nanjing University of Information Science & Technology, Nanjing 210044, China
  • Received:2015-12-14 Published:2016-07-18
  • Contact: *E-mail: gszhou@camscma.cn
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (41330531) and the Special Fund for Meteorological Research in the Public Interest of China (GYHY201506001-3, GYHY201506019).

Abstract: Photosynthate allocation is critical to crop growth and biomass formation, and it is also a key part of crop simulation. A photosynthate allocation model of maize was established based on photosynthate allocation mechanisms as well as the photosynthate allocation characteristics of maize at different stages. This model was then coupled with the CO2 assimilation module of WOFOST crop model to simulate the biomass dynamics of different organs of maize on daily scale. It was validated by 5 years’ field experiment data of spring maize from Jinzhou Agricultural Ecosystem Research Station. The results showed that, the model could explain about 95.4% of maize’s total biomass change, while 87.0%, 85.3%, 67.9%, 76.5% and 87.5% of vegetative, leaf, root, stem, and ear biomass variations, respectively. This model could fulfill accurate simulation of different organ biomass dynamics of maize.