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Simulating the effects of agricultural production practices on water conservation and crop yields using an improved SWAT model in the Texas High Plains, USA

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  • Chen, Yong
  • Marek, Gary W.
  • Marek, Thomas H.
  • Porter, Dana O.
  • Brauer, David K.
  • Srinivasan, Raghavan

Abstract

A calibrated SWAT model equipped with an improved auto-irrigation function was used to evaluate the impacts of agricultural production practices on water balances and crop yields of corn, sorghum, and winter wheat for the Palo Duro watershed located in the Texas High Plains (THP). Fourteen scenarios were simulated including alternative irrigation application depths of 12.7 mm and 38.1 mm for irrigated corn, sorghum, and wheat and with different planting dates for irrigated corn, sorghum, wheat, and dryland wheat. Results indicated the greater irrigation depth (38.1 mm) led to reductions in seasonal irrigation requirements and crop evapotranspiration (ETc) when compared to the baseline scenarios using an irrigation depth of 25.4 mm for corn, sorghum, and wheat. However, soil water content, surface runoff, and percolation were increased. The opposite was observed for simulations of the same hydrologic variables but with an irrigation depth of 12.7 mm. Crop yields associated with the alternative irrigation depths were similar to those achieved with the baseline. Delayed planting of corn and sorghum resulted in the decrease of all the studied hydrologic parameters relative to the baseline. By contrast, the early planting scenarios showed the increase in those variables generally. Simulated corn yields were relatively stable, but a 3.7% reduction in irrigated sorghum yield was found with late planting. Notably, the early planting of wheat resulted in a clear increase in both irrigated and dryland yields of 11.2% and 13.5%, respectively. However, the yields of irrigated and dryland wheat were reduced by 28.8% and 2.7%, respectively, for the late planting. These findings suggest the greater irrigation application depth is promising for maintaining crop yields and reducing groundwater use from the Ogallala Aquifer. Also, the late planting of corn may benefit water conservation. Nevertheless, the early planting of wheat might be warranted to enhance yield in the THP.

Suggested Citation

  • Chen, Yong & Marek, Gary W. & Marek, Thomas H. & Porter, Dana O. & Brauer, David K. & Srinivasan, Raghavan, 2021. "Simulating the effects of agricultural production practices on water conservation and crop yields using an improved SWAT model in the Texas High Plains, USA," Agricultural Water Management, Elsevier, vol. 244(C).
    • Handle: RePEc:eee:agiwat:v:244:y:2021:i:c:s0378377420321211
    DOI: 10.1016/j.agwat.2020.106574
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    References listed on IDEAS

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    1. Hao, Baozhen & Xue, Qingwu & Marek, Thomas H. & Jessup, Kirk E. & Hou, Xiaobo & Xu, Wenwei & Bynum, Edsel D. & Bean, Brent W., 2015. "Soil water extraction, water use, and grain yield by drought-tolerant maize on the Texas High Plains," Agricultural Water Management, Elsevier, vol. 155(C), pages 11-21.
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    3. Čerkasova, Natalja & White, Michael & Arnold, Jeffrey & Bieger, Katrin & Allen, Peter & Gao, Jungang & Gambone, Marilyn & Meki, Manyowa & Kiniry, James & Gassman, Philip W., 2023. "Field scale SWAT+ modeling of corn and soybean yields for the contiguous United States: National Agroecosystem Model Development," Agricultural Systems, Elsevier, vol. 210(C).
    4. Derek Haskell & Joonghyeok Heo & Joonkyu Park & Chao Dong, 2022. "Hydrogeochemical Evaluation of Groundwater Quality Parameters for Ogallala Aquifer in the Southern High Plains Region, USA," IJERPH, MDPI, vol. 19(14), pages 1-17, July.
    5. Nina Noreika & Tailin Li & Julie Winterova & Josef Krasa & Tomas Dostal, 2022. "The Effects of Agricultural Conservation Practices on the Small Water Cycle: From the Farm- to the Management-Scale," Land, MDPI, vol. 11(5), pages 1-16, May.
    6. Xuekai Chen & Guojian He & Xiaobo Liu & Bogen Li & Wenqi Peng & Fei Dong & Aiping Huang & Weijie Wang & Qiuyue Lian, 2021. "Sub-Watershed Parameter Transplantation Method for Non-Point Source Pollution Estimation in Complex Underlying Surface Environment," Land, MDPI, vol. 10(12), pages 1-25, December.
    7. Junchao Jiang & Leting Lyu & Yuechi Han & Caizhi Sun, 2021. "Effect of Climate Variability on Green and Blue Water Resources in a Temperate Monsoon Watershed, Northeastern China," Sustainability, MDPI, vol. 13(4), pages 1-13, February.
    8. Qinghua Guo & Wenliang Wu, 2023. "Application of Parameter Optimization Methods Based on Kalman Formula to the Soil—Crop System Model," IJERPH, MDPI, vol. 20(5), pages 1-16, March.
    9. Fan, Yunfei & He, Liuyue & Liu, Yi & Wang, Sufen, 2022. "Optimal cropping patterns can be conducive to sustainable irrigation: Evidence from the drylands of Northwest China," Agricultural Water Management, Elsevier, vol. 274(C).

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