Simulation of a meteorological and physiological rice yield prediction model.

摘要

Then RICEMOD-300 dynamic plant process model has been simulated in order to represent the growth of major US rice varieties: to define its sensitivity to weather variables and to evaluate some of the economic implications of climatic impacts. Three observed and two modeled weather input data sets were adopted; however, for the soil and plant physiological inputs an IRRI field experimental record was used. Five flood irrigation levels which derived from a climatic-water-balance method were created for yield development. The total applied water ranged from 990 mm to 1500 mm during the growing period and produced rice yields ranging from 450 to 850 g/m;The responsivity of the model yield was highly correlated with the diurnal temperature change. The model emphasized the importance of water potential loss required to maintain transpiration rate, soil moisture release and hydraulic conductivity curves, and the role of root length density in determining soil resistance to root water uptake. The solar radiation influence on the model showed a positive effect with increasing radiation, while in a flux range of 300 to 750 cal/cm;The climate change assessment of the model yield response to daily variances of temperature, precipitation and evaporation, estimated using GISS-GCM CO