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Research Project: QUANTIFYING ENVIRONMENTAL HYDROLOGY TO MITIGATE DETRIMENTAL CHEMICAL FLUXES

Location: Hydrology and Remote Sensing Laboratory

Title: SOYBEAN GROWTH AND DEVELOPMENT VISUALIZED WITH L-SYSTEM SIMULATIONS:EFFECT OF TEMPERATURE

Authors

Submitted to: Agronomy Society of America, Crop Science Society of America, Soil Science Society of America Meeting
Publication Type: Abstract
Publication Acceptance Date: September 15, 2003
Publication Date: May 13, 2003
Citation: Pachepsky, L., Walthall, C.L., Kaul, M., Kong, H., Lyden, J., Daughtry, C.S. 2003. Soybean growth and development visualized with L-system simulations: Effect of temperature [CD-ROM]. Crop Science Society of America, Soil Science Society of America. Denver, Colorado: Agronomy Society of America.

Technical Abstract: Virtual plants driven by plant growth models can enhance human-computer interactions of crop simulation. This was addressed with data from Essex and Moon Cake soybean varieties grown in three controlled climate chambers from emergence till flowering with 14 hour photoperiods, a light intensity of 390 micromoles/square m/s, and day/night temperatures of 32/27, 26/21, and 20/15 degrees C. Detailed morphological measurements and photographs of the plants were made weekly and used to produce 'maps' of growth suitable for use with an L system model. Temperature dependencies of cultivar morphological characteristics were obtained and compared. The effect of temperature on growth and development of both cultivars was significant immediately after emergence. There was a significant difference of soybean development between cultivars starting two weeks after emergence. A previously developed phenological model for soybean was parameterized with the Essex and Moon Cake cultivar data. An open parametric L-system model of these two soybean cultivars was developed. The graphics of the virtual plants are able to visually demonstrate the effect of both cultivar and temperature on growth and development. Visual output of plant growth models may enhance model utility and potentially increase their use by producers and researchers.

   

 
Project Team
Gish, Timothy
McCarty, Gregory
Sadeghi, Ali
Ritchie, Jerry
 
Publications
   Publications
 
Related National Programs
  Soil Resource Management (202)
  Water Resource Management (201)
 
 
Last Modified: 11/07/2008
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