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Acta Agron Sin ›› 2012, Vol. 38 ›› Issue (04): 740-746.doi: 10.3724/SP.J.1006.2012.00740

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Adaptability of APSIM Maize Model in Northeast China

LIU Zhi-Juan1,YANG Xiao-Guang1,*,WANG Jing1,LÜ Shuo1,LI Ke-Nan1,XUN Xin1,WANG En-Li2   

  1. 1 College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China; 2 The Commonwealth Scientific and Industrial Research Organisation Land and Water, GPO Box 1666, Black Mountain, Canberra, ACT 2601, Australia
  • Received:2011-07-29 Revised:2011-12-19 Online:2012-04-12 Published:2012-02-13
  • Contact: 杨晓光, E-mail: yangxg@cau.edu.cn

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Abstract: The APSIM (Agricultural Production Systems Simulator) model was introduced to simulate maize growth, development and yields in the northeast China using the field experimental data and climate data collected from six typical agricultural meteorological stations in the studied area. APSIM was calibrated using the first part of data to determine the varietal parameters, then simulated the growing periods, leaf area index (LAI), total above-ground biomass and yields using the second part of data at each site. The results showed that there was a good agreement between the simulated and observed values in growing periods. The difference of growing periods from sowing to emergence, form sowing to flowering and form sowing to maturity between simulated and observed data was 0–2.0, 0.7–2.0, and 0.7–2.3 d, respectively. The Normalized Root Mean Square Error(NRMSE) values for measured and simulated LAI and total above-ground biomass in Harbin station were 33% and 11%, respectively. NRMSE values for measured and simulated yield in Harbin, Hailun, Tailai, Huadian, Tonghua, and Benxi station were 18%, 13%, 4%, 4%, 5%, and 2%, respectively. These results indicated that APSIM model has good ability to simulate the growing periods, dynamic process of LAI, dynamic process of above-ground biomass and yield of maize in Northeast of China. This research supports the model application in Northeast of China, such as simulating maize potential yield, or prescribing yield limiting factors.

Key words: the Northeast China, Maize, APSIM, Calibration, Adaptability

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