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Dynamic changing of soil water in artificial ryegrass land in the hilly regions of Sichuan Basin area

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  • Wang, Xuechun
  • Samo, Naseem
  • Wang, Mengran
  • Qadir, Muslim
  • Yang, Guotao
  • Hu, Yungao
  • Ali, Kawsar

Abstract

To understand the impacts of fertilizer treatment and ryegrass growth on the dynamic changes of soil water is essential to use available soil water and rainfall sagaciously and develop a sustainable artificial ryegrass land in Sichuan Basin area and the similar areas in the world. In the current research, the dynamic changes of soil water were measured under different nitrogen fertilizer treatments by field experiment and EPIC model (Environment Policy Integrated Climate) simulation in the hilly region of Sichuan Basin area from 2011 to 2015. Results revealed that the EPIC model simulated the dynamic changes of soil water well, as the simulated and observed values of forage yield, leaf area index and ryegrass height exhibited a good correlation. When the nitrogen fertilizer was 150 kg/hm2 the soil water consumed by ryegrass during January to May period recovered well during June to September, it is more sustainable treatment than other experimental treatments, considering in a long period. Furthermore, our simulation demonstrated that the roots especially distributed in 0–50 cm soil has a significant effect on available soil water in 0–1 m soil. Root distributed in 0–20 cm and 60–100 cm soil affected the available soil water in 0–50 cm and 60–100 cm soil respectively.

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  • Wang, Xuechun & Samo, Naseem & Wang, Mengran & Qadir, Muslim & Yang, Guotao & Hu, Yungao & Ali, Kawsar, 2019. "Dynamic changing of soil water in artificial ryegrass land in the hilly regions of Sichuan Basin area," Agricultural Water Management, Elsevier, vol. 221(C), pages 99-108.
    • Handle: RePEc:eee:agiwat:v:221:y:2019:i:c:p:99-108
    DOI: 10.1016/j.agwat.2019.04.032
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    1. Han, Ming & Zhao, Chengyi & Šimůnek, Jirka & Feng, Gary, 2015. "Evaluating the impact of groundwater on cotton growth and root zone water balance using Hydrus-1D coupled with a crop growth model," Agricultural Water Management, Elsevier, vol. 160(C), pages 64-75.
    2. Wang, Chenxia & Gu, Feng & Chen, Jinliang & Yang, Hui & Jiang, Jingjing & Du, Taisheng & Zhang, Jianhua, 2015. "Assessing the response of yield and comprehensive fruit quality of tomato grown in greenhouse to deficit irrigation and nitrogen application strategies," Agricultural Water Management, Elsevier, vol. 161(C), pages 9-19.
    3. Wang, Linlin & Palta, Jairo A. & Chen, Wei & Chen, Yinglong & Deng, Xiping, 2018. "Nitrogen fertilization improved water-use efficiency of winter wheat through increasing water use during vegetative rather than grain filling," Agricultural Water Management, Elsevier, vol. 197(C), pages 41-53.
    4. Wang, Xiangping & Liu, Guangming & Yang, Jingsong & Huang, Guanhua & Yao, Rongjiang, 2017. "Evaluating the effects of irrigation water salinity on water movement, crop yield and water use efficiency by means of a coupled hydrologic/crop growth model," Agricultural Water Management, Elsevier, vol. 185(C), pages 13-26.
    5. Yang, Hui & Du, Taisheng & Mao, Xiaomin & Ding, Risheng & Shukla, Manoj K., 2019. "A comprehensive method of evaluating the impact of drought and salt stress on tomato growth and fruit quality based on EPIC growth model," Agricultural Water Management, Elsevier, vol. 213(C), pages 116-127.
    6. Xiong, Wei & Balkovič, Juraj & van der Velde, Marijn & Zhang, Xuesong & Izaurralde, R. César & Skalský, Rastislav & Lin, Erda & Mueller, Nathan & Obersteiner, Michael, 2014. "A calibration procedure to improve global rice yield simulations with EPIC," Ecological Modelling, Elsevier, vol. 273(C), pages 128-139.
    7. Suresh Sharma & Indrajeet Chaubey, 2017. "Surface and Subsurface Transport of Nitrate Loss from the Selected Bioenergy Crop Fields: Systematic Review, Analysis and Future Directions," Agriculture, MDPI, vol. 7(3), pages 1-20, March.
    8. Fessehazion, Melake K. & Annandale, John G. & Everson, Colin S. & Stirzaker, Richard J. & Tesfamariam, Eyob H., 2014. "Evaluating of soil water balance (SWB-Sci) model for water and nitrogen interactions in pasture: Example using annual ryegrass," Agricultural Water Management, Elsevier, vol. 146(C), pages 238-248.
    9. Ko, Jonghan & Piccinni, Giovanni & Steglich, Evelyn, 2009. "Using EPIC model to manage irrigated cotton and maize," Agricultural Water Management, Elsevier, vol. 96(9), pages 1323-1331, September.
    10. Cavero, J. & Plant, R. E. & Shennan, C. & Williams, J. R. & Kiniry, J. R. & Benson, V. W., 1998. "Application of epic model to nitrogen cycling in irrigated processing tomatoes under different management systems," Agricultural Systems, Elsevier, vol. 56(4), pages 391-414, April.
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