RICE SCIENCE ›› 2006, Vol. 13 ›› Issue (2): 125-130 .

• Research Paper • Previous Articles     Next Articles

Simulation and Validation of Rice Potential Growth Process in Zhejiang
Province of China by Utilizing WOFOST Model

XIE Wen-xia 1, YAN Li-jiao 2, WANG Guang-huo 1   

  1. 1 College of Environmental and Resource Science, Zhejiang University, Hangzhou 310029, China; 2 Agroecology Institute, Zhejiang
    University, Hangzhou 310029, China)
  • Received:2006-03-03 Online:2006-06-28 Published:2006-06-28
  • Contact: WANG Guang-huo
  • Supported by:

    the International Rice Research Institute (IRRI), the Swiss Agency for Development and Cooperation (SDC), the Potash & Phosphate Institute and the Potash & Phosphate Institute of Canada (PPI-PPIC), the International Fertilizer Industry Association (IFA), the International Potash Institute (IPI), and 948 Project of the Ministry of Agriculture of China (2003-Z53).

Abstract: A crop growth model of WOFOST was calibrated and validated through rice field experiments from 2001 to 2004 in Jinhua
and Hangzhou, Zhejiang Province. For late rice variety Xiushui 11 and hybrid Xieyou 46, the model was calibrated to obtain parameter
values using the experimental data of years 2001 and 2002, then the parameters were validated by the data obtained during 2003.
For single hybrid rice Liangyoupeijiu, the data recorded in 2004 and 2003 were used for calibration and validation, respectively. The
main focus of the study was as follows: the WOFOST model is good in simulating rice potential growth in Zhejiang and can be used to
analyze the process of rice growth and yield potential. The potential yield obtained from the WOFOST model was about 8100 kg/ ha
for late rice and 9300 kg/ ha for single rice. The current average yield in Jinhua is only about 78% (late rice) and 70% (single rice) of
their potential yield. The results of the simulation also showed that the current practice of management at the middle and late growth
stages of rice should be reexamined and improved to reach optimal rice growth.

Key words: crop growth model, rice, yield, crop growth process, simulation, calibration