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United States Department of Agriculture

Agricultural Research Service


Location: Adaptive Cropping Systems Laboratory

Title: Simulating potato gas exchange as influenced by CO2 and irrigation

item Fleisher, David
item Dathe, Annette
item Resop, Jonathan
item Timlin, Dennis
item Singh, Shardendu
item Reddy, Vangimalla

Submitted to: ASA-CSSA-SSSA Annual Meeting Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: 4/19/2012
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: Recent research suggests that an energy balance approach is required for crop models to adequately respond to current and future climatic conditions associated with elevated CO2, higher temperatures, and water scarcity. More realistic models are needed in order to understand the impact of, and develop adaptation strategies for, the effects of climate change on agricultural production of important agronomic crops. SPUDSIM, a process-level potato crop model developed by USDA-ARS, couples sub-models for leaf photosynthetic rate, stomatal conductance, and an energy balance at the leaf surface and then scales the gas exchange predictions to the whole canopy using a sunlit/shaded leaf area approach in order to simulate diurnal responses to air temperature, radiation, CO2, humidity and other microclimate factors. SPUDSIM was linked with 2DSOIL, a two-dimensional soils model that simulates root growth, water, and nutrient uptake. A hydraulic stomatal control algorithm, linked to leaf water potential, was recently incorporated into the model to account for plant water status effects on stomatal closure. The current research evaluates the ability of the model to respond to varying irrigation regimes (10, 25, 50, 75, and 100% of evapotranspiration demand) with potato (Solanum tuberosum L. cv. Kennebec) grown at ambient (400) or elevated (800 ppm) CO2 levels. Experimental photosynthesis and transpiration data from soil-plant-atmosphere research chambers are used to determine the accuracy of the predictions.

Last Modified: 10/16/2017
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