Incorporation of a Subsurface Tile Drainage Component Into a Soybean Growth Model

Shen, Jia; Batchelor, William D.; Jones, James W.; Ritchie, J. T.; Kanwar, Rameshwar S.; Mize, Carl W.

doi:10.13031/2013.17303

Cited by 29 publications

(24 citation statements)

References 10 publications

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“…Saturated water content (SAT), drained upper limit (DUL), and lower limit (LL) were obtained from Shen et al (1998), with some minor adjustment. These soil properties and tools provided by the model developers were used to develop soil water retention and soil hydraulic conductivity as functions of soil tension.…”

Section: Soilmentioning

confidence: 99%

“…b SAT is volumetric water content at saturation (porosity). These values were taken from Shen et al (1998) with some minor adjustments. c DUL is volumetric drained upper limit of soil water, which was assumed at 1000 mm (water equivalent) of soil tension.…”

Section: Soilmentioning

confidence: 99%

“…c DUL is volumetric drained upper limit of soil water, which was assumed at 1000 mm (water equivalent) of soil tension. These values were from Shen et al (1998) with some minor adjustment. d LL is volumetric lower limit of soil water, which was assumed at 150,000 mm (water equivalent) of soil tension.…”

Section: Soilmentioning

confidence: 99%

“…d LL is volumetric lower limit of soil water, which was assumed at 150,000 mm (water equivalent) of soil tension. This value was taken from Shen et al (1998). e K sat from 10 to 1000 mm soil depth measured from Ma et al (2006a-this issue).…”

Section: Soilmentioning

confidence: 99%

“…APSIM has been used to investigate long-term corn production in Nebraska (Lyon et al, 2003) and long-term winter wheat production in China (Chen et al, 2004). To accurately predict crop yield in the Midwest a model should account for subsurface drainage (Shen et al, 1998;Paz et al, 1998). Therefore, to use APSIM to quantify the effects of conservation practices in the U.S. corn and soybean belt the model had to be modified to simulate tile drainage.…”

Section: Introductionmentioning

confidence: 99%

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Evaluating and predicting agricultural management effects under tile drainage using modified APSIM

et al. 2007

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An accurate and management sensitive simulation model for tile-drained Midwestern soils is needed to optimize the use of agricultural management practices (e.g., winter cover crops) to reduce nitrate leaching without adversely affecting corn yield. Our objectives were to enhance the Agricultural Production Systems Simulator (APSIM) for tile drainage, test the modified model for several management scenarios, and then predict nitrate leaching with and without winter wheat cover crop. Twelve years of data (1990)(1991)(1992)(1993)(1994)(1995)(1996)(1997)(1998)(1999)(2000)(2001) from northeast Iowa were used for model testing. Management scenarios included continuous corn and corn-soybean rotations with single or split N applications. For 38 of 44 observations, yearly drain flow was simulated within 50 mm of observed for low drainage (< 100 mm) or within 30% of observed for high drain flow. Corn yield was simulated within 1500 kg/ha for 12 of 24 observations. For 30 of 45 observations yearly nitrate-N loss in tile drains was simulated within 10 kg N/ha for low nitrate-N loss (< 20 kg N/ha) or within 30% of observed for high nitrate-N loss. Several of the poor yield and nitrate-N loss predictions appear related to poor N-uptake simulations. The model accurately predicted greater corn yield under split application kg N/ha) compared to single 110 kg N/ha application and higher drainage and nitrate-N loss under continuous corn compared to corn/soybean rotations. A winter wheat cover crop was predicted to reduce nitrate-N loss 38% (341 vs. 537 kg N/ha with and without cover) under 41-years of corn-soybean rotations and 150 kg N/ha applied to corn. These results suggest that the modified APSIM model is a promising tool to help estimate the relative effect of alternative management practices under fluctuating high water tables. RightsWorks produced by employees of the U.S. Government as part of their official duties are not copyrighted within the U.S. The content of this document is not copyrighted. AbstractAn accurate and management sensitive simulation model for tile-drained Midwestern soils is needed to optimize the use of agricultural management practices (e.g., winter cover crops) to reduce nitrate leaching without adversely affecting corn yield. Our objectives were to enhance the Agricultural Production Systems Simulator (APSIM) for tile drainage, test the modified model for several management scenarios, and then predict nitrate leaching with and without winter wheat cover crop. Twelve years of data (1990)(1991)(1992)(1993)(1994)(1995)(1996)(1997)(1998)(1999)(2000)(2001) from northeast Iowa were used for model testing. Management scenarios included continuous corn and corn-soybean rotations with single or split N applications. For 38 of 44 observations, yearly drain flow was simulated within 50 mm of observed for low drainage (b 100 mm) or within 30% of observed for high drain flow. Corn yield was simulated within 1500 kg/ha for 12 of 24 observations. For 30 of 45 observations yearly nitrate-N loss in tile ...

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Section: Soilmentioning

confidence: 99%

Section: Soilmentioning

confidence: 99%

Section: Soilmentioning

confidence: 99%

Section: Soilmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Evaluating and predicting agricultural management effects under tile drainage using modified APSIM

et al. 2007

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Simultaneous determination of multiresidual phenyl acetanilide pesticides in different food commodities by solid‐phase cleanup and gas chromatography‐mass spectrometry

Wang

Yan

et al. 2013

J of Separation Science

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An efficient and sensitive multiresidue method has been developed for quantification and confirmation of 25 phenyl acetanilide pesticides in a wide variety of food commodities including maize, spinach, mushroom, apple, soybean, chestnut, tea, beef, cattle liver, chicken, fish, and milk. Analytes were extracted with acetone-n-hexane (1:2, v/v) followed by cleanup using SPE. Several types of adsorbents were evaluated. Neutral aluminum and graphitized carbon black cartridge showed good cleanup efficiency. The extract was determined by GC-MS in the selected ion monitoring mode using one target and two qualitative ions for each analyte. The limits of detection were 0.01 mg/kg for all analytes. The average recoveries ranged from 66.9 to 110.6% (mean 88.8%) and RSDs were in the range 2.0-19% (mean 10.5%) across three fortification levels. The proposed method was successfully applied to real samples in routine analysis and a satisfactory result was obtained.

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Parameterization of two‐dimensional approaches in HYDRUS‐2D: Part 2. Solute transport at the field and column scale

Varvaris

Pittaki‐Chrysodonta

Børgesen

et al. 2021

Soil Science Soc of Amer J

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In this study, a tracer field experiment was conducted to study the temporal dynamics of bromide movement in a loamy tile-drained agricultural landscape. Moreover, tritium leaching experiments were performed on undisturbed soil columns from the same field. The HYDRUS-2D software package was used to model water and solute transport. Three water flow models developed in Part 1-a single-porosity approach with modified soil hydraulic functions (SP), a dual-porosity approach (DP), and a dual-permeability approach (DUP)-were used as a foundation for building solute transport models, of which the initial parameterization was based on a suggested hydrogeological tool from previous studies. The selected solute transport models were an SP, an SP with immobile water, a DP, a DUP, and a DUP with immobile water. The model predictions were compared against measurements of bromide concentrations in soil-water. The DP captured the degree of the initial peaks and predicted well the shape of the observed concentrations. However, DP presented low capability to match the timing of bromide concentration peaks. In contrast, the DUP with immobile water illustrated better predictive ability by introducing an additional pore region into the matrix domain. Validation of field-scale solute transport models was implemented using the data from the following leaching experiments. The already suggested parameterization concept was further evaluated for its capability to provide a sufficient initial representation of the internal pathways. The output from such hydrogeological studies shows that macropores and their interconnection with tile drains are key to understanding the water flow and solute transport processes in loamy structured soils.

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Incorporation of a Subsurface Tile Drainage Component Into a Soybean Growth Model

Cited by 29 publications

References 10 publications

Evaluating and predicting agricultural management effects under tile drainage using modified APSIM

Evaluating and predicting agricultural management effects under tile drainage using modified APSIM

Simultaneous determination of multiresidual phenyl acetanilide pesticides in different food commodities by solid‐phase cleanup and gas chromatography‐mass spectrometry

Parameterization of two‐dimensional approaches in HYDRUS‐2D: Part 2. Solute transport at the field and column scale

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