A Simulation Model of Cotton Growth and Development for CSM. (4551)
Authors:
C.D. Messina* - Univ. of Florida J.T. Ritchie - Univ. of Florida J.W. Jones - Univ. of Florida K.J. Boote - Univ. of Florida
G. Hoogenboom - Univ. of Georgia, Griffin V.K. Walen - Univ. of Florida
Abstract:
Cropping systems including cotton were developed in many ecologically and socioeconomic diverse regions. These systems evolve dynamically in response to ecological and economic factors. Decision support systems could help design sustainable systems that include cotton. Integration of stand-alone cotton models into DSSAT poses a challenge as they all were developed in different languages, platforms and physiological frameworks. Alternatively, one can use a crop template approach to build models of new crops with no programming. CSM includes an array of physiological frameworks to implement models of different complexity for cotton yet assuring integration with other components of the cropping system. We are adapting CSM to simulate cotton growth and development with parameters estimated from published data. The current model can simulate photosynthesis at the canopy level as affected by solar radiation, temperature, water and plant nitrogen. Simulation of phenology uses a photothermal model, and cardinal temperatures vary between vegetative and reproductive stages. Temperature functions affecting specific leaf weight, leaf area, boll growth rate, rate of boll addition, and growth duration were included. The model described cotton growth and development with RMSE varying between 7 to 21%. Further developments are underway that include the independent verification of the model.
Speaker Information: Carlos Messina, Univ. of Florida, 288 Rogers HallAgricultural
& Biological EngineeringUniversity of Florida, Gainesville, FL 32611-0570; Phone:
(352) 392-1864 x288; E-mail: [email protected]
Session Information: Wednesday, November 3, 2004, 4:00 PM-6:00 PM Presentation Start: 4:00 PM (Poster Board Number: 0237)
Keywords: Modeling; Cotton; Decision Support System; Optimization
