|Hoogenboom, G - UNIV OF GEORGIA|
|Messina, C - UNIV OF FLORIDA|
Submitted to: Agronomy Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: November 3, 2003
Publication Date: November 6, 2003
Citation: HOOGENBOOM, G., WHITE, J.W., MESSINA, C. 2003. FROM GENOME TO CROP INTEGRATION THROUGH SIMULATION MODELING. AGRONOMY ABSTRACTS. CD-Rom (CO2-hoogenboom207271-oral). Technical Abstract: Computer models simulate growth, development, and yield of crops as functions of weather and soil conditions and crop management. They integrate the scientific knowledge that has been obtained in the various agronomic disciplines, ranging from plant breeding to soil physics. Recently an effort was made to develop a crop simulation model that simulates the impact of gene action on specific physiological processes. In this model, genetic information through the presence or absence of specific genes is used to present cultivar and variety differences. The original model GeneGro was based on the dry bean simulation model BEANGRO. The gene-based modeling approach has now also been incorporated into the Cropping System Model (CSM), which simulates growth and development for more than 20 different crops as part of the Decision Support System for Agrotechnology Transfer (DSSAT). This gene-based model can provide a linkage between functional genomics and crop physiology, especially as more genes are identified. This will strengthen the underlying assumptions of the model, improving its utility for research in crop improvement, crop management, global change, and other fields. Examples are given of application of GeneGro in studies of crop adaptation, showing how potential effects of single genes can be examined at a regional scale.