205-7 Simulation of Water Use Efficiency for Maize At Elevated CO.

See more from this Division: ASA Section: Climatology & Modeling
See more from this Session: Symposium--Model Applications in Field Research
Tuesday, October 23, 2012: 10:25 AM
Duke Energy Convention Center, Room 235, Level 2
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Dennis Timlin1, Jong Ahn Chun2, Soo-Hyung Kim3, Yang Yang4, David Fleisher5 and Vangimalla Reddy1, (1)USDA-ARS Crop Systems and Global Change Laboratory, Beltsville, MD
(2)APEC Climate Center, Busan, South Korea
(3)3501 NE 41st Street, Box 354115, University of Washington, Seattle, WA
(4)Dow Agrosciences, Zionsville, IN
(5)USDA-ARS, Beltsville, MD
Maize uses the C4 pathway for photosynthesis and therefore there is little evidence that maize dry matter and yield is increased when grown at high levels of CO2 (~800 ppm). Stomatal closure does occur at elevated CO2, however resulting in decreased water uptake per unit CO2 assimilated. The objective of this study was to evaluate the ability of the maize model MaizSim to simulate the effects of water stress and CO2 on water use and photosynthesis. MaizSim uses a Farquhar type photosynthesis model coupled a Ball-Berry stomatal control model. Non-linear beta functions are used to estimate the effects of temperature on growth and development processes. Data to test the model come from experiments in outdoor, sunlit growth chambers at the USDA-ARS  Beltsville Agricultural Research Center. The eight treatments comprised two levels of carbon dioxide concentrations (400 and 800 ppm) and four levels of water stress (well-watered control, mild, moderate, and severe). The water stress treatments were applied at both CO2 levels. Water contents were monitored hourly by a Time Domain Reflectometry (TDR) system. The model simulated higher water contents at the same time after applying water stress at the high CO2 treatment than for the low CO2 treatment as was found in the measured data. Problems simulating intense water stress will be addressed.
See more from this Division: ASA Section: Climatology & Modeling
See more from this Session: Symposium--Model Applications in Field Research