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Performance of AquaCrop model for cotton growth simulation under film-mulched drip irrigation in southern Xinjiang, China

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  • Tan, Shuai
  • Wang, Quanjiu
  • Zhang, Jihong
  • Chen, Yong
  • Shan, Yuyang
  • Xu, Di

Abstract

AquaCrop is a model of crop growth for predicting responses to various scenarios such as climates and irrigation strategies. Few studies, however, have assessed the applicability of AquaCrop for cotton under film-mulched drip irrigation in salt-affected soil. The objectives of this study were to test AquaCrop performance and to determine the appropriate irrigation amounts for cotton under several scenarios of initial soil-water content (SWC) and soil salinity for two typical soils in a saline region of southern Xinjiang of China with film-mulched drip irrigation. A four-year irrigation experiment was conducted in 2012, 2013, 2015, and 2016 growing seasons for cotton, covering full (100%), over (115 and 145% of full) and deficit (55–90% of full) irrigation treatments. Based on the recommended parameters for cotton in AquaCrop manual, the model was calibrated using 2016 data sets and validated using the data sets from the other three years. Simulations of canopy cover, soil water storage of the root zone and aboveground biomass fitted well with the field observations with coefficient of determination r2>0.77 and the index of agreement d>0.92 and slightly underestimated yield. As for soil salinity, the model gave a reliable simulation for less than 80% of full irrigation treatments, while underestimated for over 80% of full irrigation treatments. Overall, AquaCrop can be used as a feasible tool to predict cotton growth response to water under film-mulched drip irrigation in this region. According to the principle of high yield and WUE, the simulation results showed that the appropriate irrigation amounts were recommended at 358–457mm for silty loam and 406–462mm for sandy loam in this region, which can provide a reference for irrigation optimization under film-mulched drip irrigation in southern Xinjiang and other similar regions.

Suggested Citation

  • Tan, Shuai & Wang, Quanjiu & Zhang, Jihong & Chen, Yong & Shan, Yuyang & Xu, Di, 2018. "Performance of AquaCrop model for cotton growth simulation under film-mulched drip irrigation in southern Xinjiang, China," Agricultural Water Management, Elsevier, vol. 196(C), pages 99-113.
    • Handle: RePEc:eee:agiwat:v:196:y:2018:i:c:p:99-113
    DOI: 10.1016/j.agwat.2017.11.001
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    14. Zhang, Ting & Zuo, Qiang & Ma, Ning & Shi, Jianchu & Fan, Yuchuan & Wu, Xun & Wang, Lichun & Xue, Xuzhang & Ben-Gal, Alon, 2023. "Optimizing relative root-zone water depletion thresholds to maximize yield and water productivity of winter wheat using AquaCrop," Agricultural Water Management, Elsevier, vol. 286(C).
    15. Alex Zizinga & Jackson Gilbert Majaliwa Mwanjalolo & Britta Tietjen & Bobe Bedadi & Ramon Amaro de Sales & Dennis Beesigamukama, 2022. "Simulating Maize Productivity under Selected Climate Smart Agriculture Practices Using AquaCrop Model in a Sub-humid Environment," Sustainability, MDPI, vol. 14(4), pages 1-17, February.
    16. Li, Meng & Du, Yingji & Zhang, Fucang & Bai, Yungang & Fan, Junliang & Zhang, Jianghui & Chen, Shaoming, 2019. "Simulation of cotton growth and soil water content under film-mulched drip irrigation using modified CSM-CROPGRO-cotton model," Agricultural Water Management, Elsevier, vol. 218(C), pages 124-138.
    17. Ahmadzadeh Araji, Hamidreza & Wayayok, Aimrun & Massah Bavani, Alireza & Amiri, Ebrahim & Abdullah, Ahmad Fikri & Daneshian, Jahanfar & Teh, C.B.S., 2018. "Impacts of climate change on soybean production under different treatments of field experiments considering the uncertainty of general circulation models," Agricultural Water Management, Elsevier, vol. 205(C), pages 63-71.
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    19. Yalong Du & Qiuping Fu & Pengrui Ai & Yingjie Ma & Yang Pan, 2024. "Modeling Comprehensive Deficit Irrigation Strategies for Drip-Irrigated Cotton Using AquaCrop," Agriculture, MDPI, vol. 14(8), pages 1-24, August.
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    22. Feng, Dingrui & Li, Guangyong & Wang, Dan & Wulazibieke, Mierguli & Cai, Mingkun & Kang, Jing & Yuan, Zicheng & Xu, Houcheng, 2022. "Evaluation of AquaCrop model performance under mulched drip irrigation for maize in Northeast China," Agricultural Water Management, Elsevier, vol. 261(C).
    23. Zhang, Junpeng & Li, Kejiang & Gao, Yang & Feng, Di & Zheng, Chunlian & Cao, Caiyun & Sun, Jingsheng & Dang, Hongkai & Hamani, Abdoul Kader Mounkaila, 2022. "Evaluation of saline water irrigation on cotton growth and yield using the AquaCrop crop simulation model," Agricultural Water Management, Elsevier, vol. 261(C).
    24. Yu, Qihua & Kang, Shaozhong & Zhang, Lu & Hu, Shunjun & Li, Yunfeng & Parsons, David, 2023. "Incorporating new functions into the WAVES model, to better simulate cotton production under film mulching and severe salinity," Agricultural Water Management, Elsevier, vol. 288(C).
    25. Guo, Leilei & Wang, Zaimin & Šimůnek, Jirka & He, Yujiang & Muhamma, Rizwan, 2023. "Optimizing the strategies of mulched brackish drip irrigation under a shallow water table in Xinjiang, China, using HYDRUS-3D," Agricultural Water Management, Elsevier, vol. 283(C).

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