Source: AGRICULTURAL RESEARCH SERVICE submitted to NRP
MECHANISTIC PROCESS-LEVEL CROP SIMULATION MODELS FOR RESEARCH AND ON-FARM DECISION SUPPORT
Sponsoring Institution
Agricultural Research Service/USDA
Project Status
ACTIVE
Funding Source
Reporting Frequency
Annual
Accession No.
0414980
Grant No.
(N/A)
Cumulative Award Amt.
(N/A)
Proposal No.
(N/A)
Multistate No.
(N/A)
Project Start Date
Oct 1, 2008
Project End Date
Mar 8, 2009
Grant Year
(N/A)
Program Code
[(N/A)]- (N/A)
Recipient Organization
AGRICULTURAL RESEARCH SERVICE
RM 331, BLDG 003, BARC-W
BELTSVILLE,MD 20705-2351
Performing Department
(N/A)
Non Technical Summary
(N/A)
Animal Health Component
0%
Research Effort Categories
Basic
25%
Applied
0%
Developmental
75%
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
2050199107030%
2052410200050%
2057299201020%
Goals / Objectives
The overall objective of this project is to develop integrated crop simulators for resource management. The specific objectives include the development of modular simulators for major U.S. crops, and evaluation of environmental impacts of global climate change, water quality issues, sustainable agriculture, precision farming, etc. Research areas where knowledge gaps about plant and soil processes limit the accuracy of model predictions.
Project Methods
Develop a suite of process level crop simulation models for wheat, potatoes, corn, rice, peanut, cotton, and soybean; and integrate these with models for weeds, diseases, and insects. There are many crop models available; however to date there is no comprehensive crop management system developed for major crops grown in the United States. The selected crops are important to the U.S. economy; in addition they represent a wide range of plant types: C3 and C4, grain root and fiber, legume, and non-legume. From such a suite of models it should be possible to assemble modules capable of simulating many other crops with appropriate parameter changes and additional rate equations to fill up the gaps. The existing models for weeds, diseases, and insects will be further developed and integrated with crop models. In instances where mechanistic models to describe some processes do not exist, or are inadequate, new models of those processes will be developed. Where suitable data are not available, we will conduct experiments to generate needed data.