48-8 Daycent Simulations to Test the Influence of Nitrogen Fertilization in Bioenergy Sorghum Production.

See more from this Division: SSSA Division: Soil Fertility & Plant Nutrition
See more from this Session: Ph.D. Graduate Student Oral Competition

Monday, November 16, 2015: 10:05 AM
Minneapolis Convention Center, L100 D

Yong Wang, Texas, Texas A&M AgriLife Research, College Station, TX, Fugen Dou, Texas Agrilife Research-Beaumont, Beaumont, TX, Keith Paustian, 200 West Lake Street/Central Rec., Colorado State University, Fort Collins, CO, Stephen J. Del Grosso, Agricultural Research Service, United States Department of Agriculture, Fort Collins, CO and Frank M. Hons, Department of Soil and Crop Sciences, Texas A&M University, College Station, TX
Abstract:
A biogeochemical model, DAYCENT, was used to simulate the influence of nitrogen (N) fertilization on aboveground biomass carbon (C), soil organic carbon (SOC), and greenhouse gas (GHG) [carbon dioxide (CO2) and nitrous oxide (N2O)] emissions in bioenergy sorghum production. Compared with the simulated control (without N application), the simulated N fertilization treatment had 190.74%, 6.94%, 34.62% and 66.33% greater aboveground biomass C, SOC, annual CO2 and N2O emissions, respectively, averaged over two years’ data (2010 and 2011). Similar patterns in the simulated outputs were also observed in our field trials, with percentages being 34.92%, 2.31%, and 10.59%, and 80.03% respectively. Though the performance of the model in simulating aboveground biomass C was reasonably accurate (r2 = 0.57, slope = 0.36, intercept = 346.61, RMSE = 33.78), DAYCENT tended to underestimate crop yield when no N fertilization was applied. The model estimations of SOC were more satisfactory than aboveground biomass C (r2 = 0.57, slope = 0.83, intercept = 666.43, RMSE = 10.10). DAYCENT also successfully reflected the daily GHG flux variation affected by treatments, management practices, and seasonal changes. Though both GHG annual emissions were underestimated by the model, treatment differences and yearly variation could be simulated favorably well for both CO2 (r2 = 0.71, slope = 0.65, intercept = 471.84, RMSE = 21.99) and N2O (r2 = 0.84, slope = 1.25, intercept = 1774.90, RMSE = 41.69).

See more from this Division: SSSA Division: Soil Fertility & Plant Nutrition
See more from this Session: Ph.D. Graduate Student Oral Competition