ABSTRACT
This chapter discusses what are classified as predictive, discrete, process oriented, dynamic simulation crop models. A brief history of this form of modeling in crop production research is offered with objectives and methodology. The subroutine structure is identified and justified. A simple canopy model for soybean above-ground dry matter production has been developed for use in insect pest management modeling research. The model is based on an empirical relationship between leaf area and dry matter accumulation rates. The model outputs include dry weights of stems, leaves and fruit as functions of days after planting. The chapter discusses state of the art of the application of simulation to the understanding of soybean vegetative and reproductive growth. Major emphasis will be placed on SOYMOD/OARDC, a dynamic soybean growth and development simulation. The chapter discusses the use of models to relate crop water use and irrigation management.
