Skip to main content
ARS Home » Research » Publications at this Location » Publication #179428


item Kim, Soo Hyung
item Timlin, Dennis
item Fleisher, David
item Reddy, Vangimalla

Submitted to: BARC Poster Day
Publication Type: Abstract Only
Publication Acceptance Date: 5/12/2005
Publication Date: 5/12/2005
Citation: Kim, S., Timlin, D.J., Fleisher, D.H., Reddy, V. 2005. Maizesim: a simulation model for growth and development of corn [abstract]. BARC Poster Day. p.16.

Interpretive Summary:

Technical Abstract: A process-based simulation model that predicts potential growth and phenology in corn is presented. This model has been developed based on the design of Object-Oriented crop model. Recent advances in maize and C4 physiology have been incorporated into the present model. In the present model, canopy carbon assimilation was simulated by sun-shade approach incorporating the C4 leaf photosynthesis model through coupling with models of stomatal conductance and energy balance. Temperature response of leaf development was modeled using the simplified beta distribution function. Growth and senescence of individual leaves were modeled independently as a function of temperature and leaf water status. Assimilated carbohydrates were collected to a short-term carbon pool from which allocation to individual organs occurred based on the priorities in relation to growth stages. Maintenance and growth respiration was accounted for before available carbons for dry matter accumulation were partitioned. Model behavior was reasonable and compared well with observations without extensive parameterization. Object-Oriented approach was useful for designing model structure and for modeling the relationships between organs. Incorporation of the coupled gas-exchange model will enable the present model to mechanistically predict the balance of carbon, water, and energy exchange. Currently we are working on linking this model with 2DSOIL for implementing water, nitrogen, and other key element balances. The present model is at the preliminary stage of development and must be validated with independent data from different locations and years before being used for applications.