Submitted to: International Crop Science Congress Proceedings
Publication Type: Proceedings
Publication Acceptance Date: April 19, 2004
Publication Date: October 1, 2004
Citation: Kim, S., Reddy, V. 2004. Simulating maize development using a nonlinear temperature response model. In: Proceedings of the 4th International Crop Science Congress, September 26 - October 1, 2004, Brisbane, Australia. 2004 CDROM.
Temperature is a key environmental variable that regulates growth and development of plants. The rate of change in growth and development in response to temperature is usually nonlinear with initial quasi-exponential to linear response reaching an optimum after which the rate declines steeply. This response is well mimicked by the beta distribution model whose parameters are biologically meaningful unlike polynomials. A simple simulation model of maize development was developed in which the simplified beta function was incorporated to represent temperature responses of various developmental events. The model was calibrated with data from the literature. Predictions by the simulation model compared reasonably well with independent experimental results. Implementation of nonlinear temperature response using the beta function in crop simulation model appeared to be promising, and should improve the capability of the model to simulate temperature responses mechanistically.