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Soil water/salt balance and water productivity of typical irrigation schedules for cotton under film mulched drip irrigation in northern Xinjiang

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  • Ning, Songrui
  • Zhou, Beibei
  • Shi, Jianchu
  • Wang, Quanjiu

Abstract

Film mulched drip irrigation (FMDI) has clear benefits for saving water and promoting cotton production in Xinjiang, China. Due to the complicated transport processes for soil water and salt under FMDI, it is still challenging to systematically answer the questions such as the soil water and salt balance in the root zone, cotton yield and water productivity (WP) under typical planting modes and irrigation schedules. Previously, we proposed a HYDRUS-2D model with modified root water uptake (RWU) function and simulated the two-dimensional soil water flow and solute transport in cotton fields under FMDI, but we ignored the effects of the cotton yield and WP. From the perspective of smart irrigation, it is necessary to evaluate the effects of irrigation on crop production, WP, and soil environments. Thus, in the present study, our HYDRUS-2D model coupled with a validated crop water production function was applied to evaluate the effects of typical irrigation schedules and the antecedent soil salinity distributions on the soil water/salt balance, and plant water status, and leaching fraction, as well as the cotton yield and WP under FMDI in 36 scenarios. These scenarios included two antecedent soil salinity distributions (AS), six irrigation amounts (IA) and three irrigation intervals (IF). Compared with the lower AS scenarios, the higher AS scenarios obtained lower cotton transpiration and evapotranspiration but higher evaporation, drainage, and soil water storage, and the crop water status and leaching fraction were also increased due to the soil salt stress restricting RWU. The salt balance results indicated the current irrigation scheduling under FMDI leads to desalination processes in different scenarios. Moreover, the cotton yield and the corresponding WP for cotton (WPETa) and irrigation (WPI) were estimated. Under different AS scenarios, binary quadratic regression equations were developed based on IA and IF data to predict the cotton yield, WPETa, and WPI. Appropriate irrigation strategies are recommended based on the results. Our results could provide a scientific basis for optimizing irrigation schedules and improving the understanding of irrigation management under FMDI among local farmers in Xinjiang.

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  • Ning, Songrui & Zhou, Beibei & Shi, Jianchu & Wang, Quanjiu, 2021. "Soil water/salt balance and water productivity of typical irrigation schedules for cotton under film mulched drip irrigation in northern Xinjiang," Agricultural Water Management, Elsevier, vol. 245(C).
    • Handle: RePEc:eee:agiwat:v:245:y:2021:i:c:s0378377420321958
    DOI: 10.1016/j.agwat.2020.106651
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    5. Lin, Xiaomin & Wang, Zhen & Li, Jiusheng, 2022. "Spatial variability of salt content caused by nonuniform distribution of irrigation and soil properties in drip irrigation subunits with different lateral layouts under arid environments," Agricultural Water Management, Elsevier, vol. 266(C).
    6. Liu, Lining & Zuo, Qiang & Shi, Jianchu & Wu, Xun & Wei, Congmin & Sheng, Jiandong & Jiang, Pingan & Chen, Quanjia & Ben-Gal, Alon, 2023. "Balancing economic benefits and environmental repercussions based on smart irrigation by regulating root zone water and salinity dynamics," Agricultural Water Management, Elsevier, vol. 285(C).
    7. Zhu, Guofeng & Yong, Leilei & Zhang, Zhuanxia & Sun, Zhigang & Sang, Liyuan & Liu, Yuwei & Wang, Lei & Guo, Huiwen, 2021. "Infiltration process of irrigation water in oasis farmland and its enlightenment to optimization of irrigation mode: Based on stable isotope data," Agricultural Water Management, Elsevier, vol. 258(C).
    8. Wang, He & Feng, Di & Zhang, Anqi & Zheng, Chunlian & Li, Kejiang & Ning, Songrui & Zhang, Junpeng & Sun, Chitao, 2022. "Effects of saline water mulched drip irrigation on cotton yield and soil quality in the North China Plain," Agricultural Water Management, Elsevier, vol. 262(C).
    9. Wang, Lichun & Ning, Songrui & Chen, Xiaoli & Li, Youli & Guo, Wenzhong & Ben-Gal, Alon, 2021. "Modeling tomato root water uptake influenced by soil salinity under drip irrigation with an inverse method," Agricultural Water Management, Elsevier, vol. 255(C).
    10. Geng, Qingling & Zhao, Yongkun & Sun, Shikun & He, Xiaohui & Wang, Dong & Wu, Dingrong & Tian, Zhihui, 2023. "Spatio-temporal changes and its driving forces of irrigation water requirements for cotton in Xinjiang, China," Agricultural Water Management, Elsevier, vol. 280(C).
    11. Jiang, Donglin & Ao, Chang & Bailey, Ryan T. & Zeng, Wenzhi & Huang, Jiesheng, 2022. "Simulation of water and salt transport in the Kaidu River Irrigation District using the modified SWAT-Salt," Agricultural Water Management, Elsevier, vol. 272(C).
    12. Xiao, Chao & Ji, Qingyuan & Zhang, Fucang & Li, Yi & Fan, Junliang & Hou, Xianghao & Yan, Fulai & Liu, Xiaoqiang & Gong, Kaiyuan, 2023. "Effects of various soil water potential thresholds for drip irrigation on soil salinity, seed cotton yield and water productivity of cotton in northwest China," Agricultural Water Management, Elsevier, vol. 279(C).
    13. Feng, Di & Ning, Songrui & Sun, Xiaoan & Zhang, Jingmin & Zhu, Haiyan & Tang, Jingchun & Xu, Youxin, 2023. "Agricultural use of deserted saline land through an optimized drip irrigation system with mild salinized water," Agricultural Water Management, Elsevier, vol. 281(C).
    14. Xianzhe Hao & Xiaojuan Shi & Aziz Khan & Nannan Li & Feng Shi & Junhong Li & Yu Tian & Peng Han & Jun Wang & Honghai Luo, 2022. "Industrial Organic Wastewater through Drip Irrigation to Reduce Chemical Fertilizer Input and Increase Use Efficiency by Promoting N and P Absorption of Cotton in Arid Areas," Agriculture, MDPI, vol. 12(12), pages 1-20, November.

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