The Parameters Study on Rice Growth Simulation For Fertilizer Management in Acid Soil Paddy Rice
Rice is one of staple foods for human and serving for the world’s population. Although global production has excess
demand in the last 20 years, food security problems still facing and need to be manage based on early and reliable
recommendation for all activities of paddy rice. The important attempt for manage and prediction the rice crop yield based on
simulation models was developed. However, sample of operation systems implementing models is suitable for reproducing
the peculiarities of paddy rice, especially on site-specific or small rice farm was missing recognize such as in acid soil area, In
this study Oryza2000was used for evaluation and optimum fertilizer in acid soil paddy rice. The experiment was based on acid
soil paddy field in two district name Bangkha and Banpho district of Chachoengsoa province Thailand. The most relevant
model parameter was identified through sensitivity analysis carried out using the manually and calibrated using linear model
method. The data from published experiments in 2 locations and 3 years were used. Our result from new framework was able
to report a optimum parameters with Oryza2000 in case fertilizer management at both districts. Specifically, the average of
relative root mean square error calculated on leaf area index curves was 22.5% for the calibration and 25.8% validation and
productivity curves was 28.2% for the calibration and 31.1% validation. The parameters of the linear regression equation
between measurement and simulation values were always satisfy. Indeed, intercept and slope were always close to their
optimum and R2 was always higher than 0.78. Therefore, efforts to find the optimum parameters in acid soil, while keeping
a high level of yield from fertilizer management, are of great significance in the rice-based cropping systems. Modeling is an
important and effective tool for explicitly describing the relationships among the components of complex system in paddy rice.
Modeling method is provides insight into relevant processes and their interactions, and can should be applied to study the
effects of crop management under water-limited and fertilizer-limited conditions as an alternatively for submerging and
no-submerging of field experiments in acid soil, Thailand.
Index Terms- Rice Growth Simulation, Acid Soil, Optimum of fertilizer, Parameters.