Long-term simulated runoff and water quality from grain cropping systems on restrictive layer soils

Authors: Baffaut, Claire; Ghidey, Fessehaie; Lerch, Robert; Kitchen, Newell; Sudduth, Kenneth - Ken; Sadler, Edward

Submitted to: Agricultural Water Management
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 9/19/2018
Publication Date: 3/1/2019
Citation: Baffaut, C., Ghidey, F., Lerch, R.N., Kitchen, N.R., Sudduth, K.A., Sadler, E.J. 2019. Long-term simulated runoff and water quality from grain cropping systems on restrictive layer soils. Agricultural Water Management. 213:36-48.

Interpretive Summary: Evaluation of the sustainability of grain production systems requires knowledge of long-term crop yields, and edge-of-field runoff volumes and water quality. When measured data are limited, computer simulation models are well suited for this type of inquiry. In this study, the Agricultural Policy Environmental Extender (APEX) model was used to investigate how management affects crop yields, runoff volume, and water quality on vulnerable soils. Specific objectives were to determine the ability of APEX to simulate the variability of corn and soybean yields; its ability to simulate the transport of dissolved water quality constituents via runoff; and how management affects long-term runoff and associated loss of these constituents. The model was not capable of simulating the effects of management on crop yields. The model was able to simulate runoff very well, and dissolved constituents mostly well. Long-term simulation indicated that a no-till 3-year corn-soybean-wheat rotation with cover crops provides the most benefits to water quality. This system appeared to mitigate the negative effects of no-till on the transport of dissolved chemicals by runoff because of improved fertilizer management in terms of rate, placement, and timing of application. Cover crops appeared to reduce nitrate leaching compared to a 2-year no-till system. This research highlights the need for further research in crop growth modeling as inconsistent crop yield results undermine the usefulness of the model for making recommendations about management. Overall, the long-term simulations support the concept of multiple practices addressing tillage, fertilizer management, longer crop rotations, and use of cover crops to achieve desired environmental and production goals. These findings should benefit scientists involved in hydrologic modeling and land and water resources managers who make decisions on how to best manage land.

Technical Abstract: Evaluation of the sustainability of grain production systems requires knowledge of long-term crop yields, and edge-of-field runoff volumes and water quality. When measured data are limited, computer simulation models —calibrated and validated with available data— are well suited for this type of inquiry. In this study, the Agricultural Policy Environmental Extender (APEX) model was used to investigate how management affects crop yields, runoff volume, and water quality on claypan soils. Specific objectives were to determine the ability of APEX to simulate the variability of corn and soybean yields on claypan soils; its ability to simulate the transport of dissolved-phase atrazine and nutrients via surface runoff; and how management affects long-term runoff and associated loss of these constituents. In spite of satisfactory model performance for corn yields and acceptable relative differences for soybean yields, the model was not capable of simulating the effects of management or landscape position on crop yields. Model performance was very good for runoff, and mostly satisfactory for dissolved constituents. Long-term simulation along with uncertainty analysis indicated that a no-till 3-year corn-soybean-wheat rotation with cover crops provides the most benefits to water quality by reducing nutrient transport in runoff. This system appeared to mitigate the negative effects of no-till on the surface transport of non-incorporated dissolved chemicals because of improved fertilizer management in terms of rate, placement, and timing of application. Cover crops appeared to reduce nitrate leaching compared to a 2-year no-till system. This research highlights the need for further research in crop growth modeling as inconsistent crop yield results undermine the usefulness of the model for making recommendations about management. Overall, the long-term simulations support the concept of multiple practices addressing tillage, fertilizer management, longer crop rotations, and use of cover crops to achieve desired environmental and production goals.