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Subsurface drainage volume reduction with drainage water management: Case studies in Ohio, USA

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  • Gunn, Kpoti M.
  • Fausey, Norman R.
  • Shang, Yuhui
  • Shedekar, Vinayak S.
  • Ghane, Ehsan
  • Wahl, Mark D.
  • Brown, Larry C.

Abstract

Drainage water management (DWM) is promoted as an agricultural best management practice that reduces subsurface drainage volume and thereby the transport of soluble nutrients to streams. This study was conducted on private crop fields to quantify the effect of managed subsurface drainage on daily subsurface drainage volume, in poorly drained and somewhat poorly drained soils of northwest Ohio. A paired zone approach was used where a part of each field was conventional free draining and the other part was under drainage water management. At each site, comparison of median daily subsurface drainage volume from the two zones indicated that drainage water management was effective at reducing daily subsurface drainage volume. A linear mixed model procedure was applied to determine the percent reduction in daily subsurface drainage volume as a result of drainage water management. Using the paired dataset at each site, the model predicted the total daily subsurface drainage volume from the managed zone as a function of the observed total daily subsurface drainage volume from the conventional zone. The percent reduction of daily subsurface drainage volume varied from 40% to 100% depending on site. While the magnitude of the reduction of the daily subsurface drainage volume is site specific, the general expectation is that if DWM is instituted broadly and appropriately in northwest Ohio, mean daily subsurface drainage volume would lessen on an annual basis. Such reduction may eventually translate into a reduction in nutrient loads exported from farm fields.

Suggested Citation

  • Gunn, Kpoti M. & Fausey, Norman R. & Shang, Yuhui & Shedekar, Vinayak S. & Ghane, Ehsan & Wahl, Mark D. & Brown, Larry C., 2015. "Subsurface drainage volume reduction with drainage water management: Case studies in Ohio, USA," Agricultural Water Management, Elsevier, vol. 149(C), pages 131-142.
    • Handle: RePEc:eee:agiwat:v:149:y:2015:i:c:p:131-142
    DOI: 10.1016/j.agwat.2014.10.014
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    References listed on IDEAS

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    1. Luo, W. & Sands, G.R. & Youssef, M. & Strock, J.S. & Song, I. & Canelon, D., 2010. "Modeling the impact of alternative drainage practices in the northern Corn-belt with DRAINMOD-NII," Agricultural Water Management, Elsevier, vol. 97(3), pages 389-398, March.
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    6. Negm, Lamyaa M. & Youssef, Mohamed A. & Jaynes, Dan B., 2017. "Evaluation of DRAINMOD-DSSAT simulated effects of controlled drainage on crop yield, water balance, and water quality for a corn-soybean cropping system in central Iowa," Agricultural Water Management, Elsevier, vol. 187(C), pages 57-68.
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    8. King, K.W. & Hanrahan, B.R. & Stinner, J. & Shedekar, V.S., 2022. "Field scale discharge and water quality response, to drainage water management," Agricultural Water Management, Elsevier, vol. 264(C).
    9. Yuhui Yang & Dongwei Li & Weixiong Huang & Xinguo Zhou & Zhaoyang Li & Xiaomei Dong & Xingpeng Wang, 2022. "Effects of Subsurface Drainage on Soil Salinity and Groundwater Table in Drip Irrigated Cotton Fields in Oasis Regions of Tarim Basin," Agriculture, MDPI, vol. 12(12), pages 1-14, December.

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