IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v196y2018icp99-113.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377417303530
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2017.11.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wang, Ruoshui & Kang, Yaohu & Wan, Shuqin & Hu, Wei & Liu, Shiping & Liu, Shuhui, 2011. "Salt distribution and the growth of cotton under different drip irrigation regimes in a saline area," Agricultural Water Management, Elsevier, vol. 100(1), pages 58-69.
    2. Yazar, Attila & Sezen, S. Metin & Sesveren, Sertan, 2002. "LEPA and trickle irrigation of cotton in the Southeast Anatolia Project (GAP) area in Turkey," Agricultural Water Management, Elsevier, vol. 54(3), pages 189-203, April.
    3. Ayars, J. E. & Phene, C. J. & Hutmacher, R. B. & Davis, K. R. & Schoneman, R. A. & Vail, S. S. & Mead, R. M., 1999. "Subsurface drip irrigation of row crops: a review of 15 years of research at the Water Management Research Laboratory," Agricultural Water Management, Elsevier, vol. 42(1), pages 1-27, September.
    4. Wang, Jun & Huang, Guanhua & Zhan, Hongbin & Mohanty, Binayak P. & Zheng, Jianhua & Huang, Quanzhong & Xu, Xu, 2014. "Evaluation of soil water dynamics and crop yield under furrow irrigation with a two-dimensional flow and crop growth coupled model," Agricultural Water Management, Elsevier, vol. 141(C), pages 10-22.
    5. Yang, Pengju & Hu, Hongchang & Tian, Fuqiang & Zhang, Zhi & Dai, Chao, 2016. "Crop coefficient for cotton under plastic mulch and drip irrigation based on eddy covariance observation in an arid area of northwestern China," Agricultural Water Management, Elsevier, vol. 171(C), pages 21-30.
    6. Katerji, N. & van Hoorn, J. W. & Hamdy, A. & Mastrorilli, M. & Karam, F., 1998. "Salinity and drought, a comparison of their effects on the relationship between yield and evapotranspiration," Agricultural Water Management, Elsevier, vol. 36(1), pages 45-54, February.
    7. Voloudakis, Dimitrios & Karamanos, Andreas & Economou, Garifalia & Kalivas, Dionissios & Vahamidis, Petros & Kotoulas, Vasilios & Kapsomenakis, John & Zerefos, Christos, 2015. "Prediction of climate change impacts on cotton yields in Greece under eight climatic models using the AquaCrop crop simulation model and discriminant function analysis," Agricultural Water Management, Elsevier, vol. 147(C), pages 116-128.
    8. Katerji, Nader & Campi, Pasquale & Mastrorilli, Marcello, 2013. "Productivity, evapotranspiration, and water use efficiency of corn and tomato crops simulated by AquaCrop under contrasting water stress conditions in the Mediterranean region," Agricultural Water Management, Elsevier, vol. 130(C), pages 14-26.
    9. Kang, Yaohu & Wang, Ruoshui & Wan, Shuqin & Hu, Wei & Jiang, Shufang & Liu, Shiping, 2012. "Effects of different water levels on cotton growth and water use through drip irrigation in an arid region with saline ground water of Northwest China," Agricultural Water Management, Elsevier, vol. 109(C), pages 117-126.
    10. Filipović, Vilim & Romić, Davor & Romić, Marija & Borošić, Josip & Filipović, Lana & Mallmann, Fábio Joel Kochem & Robinson, David A., 2016. "Plastic mulch and nitrogen fertigation in growing vegetables modify soil temperature, water and nitrate dynamics: Experimental results and a modeling study," Agricultural Water Management, Elsevier, vol. 176(C), pages 100-110.
    11. Seyed Ahmadi & Elnaz Mosallaeepour & Ali Kamgar-Haghighi & Ali Sepaskhah, 2015. "Modeling Maize Yield and Soil Water Content with AquaCrop Under Full and Deficit Irrigation Managements," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(8), pages 2837-2853, June.
    12. Batchelor, Charles & Lovell, Christopher & Murata, Monica, 1996. "Simple microirrigation techniques for improving irrigation efficiency on vegetable gardens," Agricultural Water Management, Elsevier, vol. 32(1), pages 37-48, November.
    13. Ran, Hui & Kang, Shaozhong & Li, Fusheng & Tong, Ling & Ding, Risheng & Du, Taisheng & Li, Sien & Zhang, Xiaotao, 2017. "Performance of AquaCrop and SIMDualKc models in evapotranspiration partitioning on full and deficit irrigated maize for seed production under plastic film-mulch in an arid region of China," Agricultural Systems, Elsevier, vol. 151(C), pages 20-32.
    14. Jacovides, C. P. & Kontoyiannis, H., 1995. "Statistical procedures for the evaluation of evapotranspiration computing models," Agricultural Water Management, Elsevier, vol. 27(3-4), pages 365-371, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yu, Qihua & Kang, Shaozhong & Hu, Shunjun & Zhang, Lu & Zhang, Xiaotao, 2021. "Modeling soil water-salt dynamics and crop response under severely saline condition using WAVES: Searching for a target irrigation volume for saline water irrigation," Agricultural Water Management, Elsevier, vol. 256(C).
    2. Xiaoping Chen & Shaoyuan Feng & Zhiming Qi & Matthew W. Sima & Fanjiang Zeng & Lanhai Li & Haomiao Cheng & Hao Wu, 2022. "Optimizing Irrigation Strategies to Improve Water Use Efficiency of Cotton in Northwest China Using RZWQM2," Agriculture, MDPI, vol. 12(3), pages 1-15, March.
    3. 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).
    4. 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.
    5. Hongbo Wang & Hui Cao & Fuchang Jiang & Xingpeng Wang & Yang Gao, 2022. "Analysis of Soil Moisture, Temperature, and Salinity in Cotton Field under Non-Mulched Drip Irrigation in South Xinjiang," Agriculture, MDPI, vol. 12(10), pages 1-15, October.
    6. Che, Zheng & Wang, Jun & Li, Jiusheng, 2021. "Effects of water quality, irrigation amount and nitrogen applied on soil salinity and cotton production under mulched drip irrigation in arid Northwest China," Agricultural Water Management, Elsevier, vol. 247(C).
    7. Li, Yunfeng & Yu, Qihua & Ning, Huifeng & Gao, Yang & Sun, Jingsheng, 2023. "Simulation of soil water, heat, and salt adsorptive transport under film mulched drip irrigation in an arid saline-alkali area using HYDRUS-2D," Agricultural Water Management, Elsevier, vol. 290(C).
    8. Shi, Jianchu & Wu, Xun & Zhang, Mo & Wang, Xiaoyu & Zuo, Qiang & Wu, Xiaoguang & Zhang, Hongfei & Ben-Gal, Alon, 2021. "Numerically scheduling plant water deficit index-based smart irrigation to optimize crop yield and water use efficiency," Agricultural Water Management, Elsevier, vol. 248(C).
    9. Zhou, Beibei & Yang, Lu & Chen, Xiaopeng & Ye, Sitan & Peng, Yao & Liang, Chaofan, 2021. "Effect of magnetic water irrigation on the improvement of salinized soil and cotton growth in Xinjiang," Agricultural Water Management, Elsevier, vol. 248(C).
    10. Chen, Xiaoping & Qi, Zhiming & Gui, Dongwei & Sima, Matthew W. & Zeng, Fanjiang & Li, Lanhai & Li, Xiangyi & Gu, Zhe, 2020. "Evaluation of a new irrigation decision support system in improving cotton yield and water productivity in an arid climate," Agricultural Water Management, Elsevier, vol. 234(C).
    11. 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.
    12. Yunfeng Li & Quanqing Feng & Dongwei Li & Mingfa Li & Huifeng Ning & Qisheng Han & Abdoul Kader Mounkaila Hamani & Yang Gao & Jingsheng Sun, 2022. "Water-Salt Thresholds of Cotton ( Gossypium hirsutum L.) under Film Drip Irrigation in Arid Saline-Alkali Area," Agriculture, MDPI, vol. 12(11), pages 1-21, October.
    13. Wang, Haidong & Cheng, Minghui & Liao, Zhenqi & Guo, Jinjin & Zhang, Fucang & Fan, Junliang & Feng, Hao & Yang, Qiliang & Wu, Lifeng & Wang, Xiukang, 2023. "Performance evaluation of AquaCrop and DSSAT-SUBSTOR-Potato models in simulating potato growth, yield and water productivity under various drip fertigation regimes," Agricultural Water Management, Elsevier, vol. 276(C).
    14. Zhu, Hongyan & Zheng, Bingyan & Nie, Weibo & Fei, Liangjun & Shan, Yuyang & Li, Ge & Liang, Fei, 2024. "Optimization of maize irrigation strategy in Xinjiang, China by AquaCrop based on a four-year study," Agricultural Water Management, Elsevier, vol. 297(C).
    15. 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.
    16. 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).
    17. 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).
    18. Zhou, Beibei & Liang, Chaofan & Chen, Xiaopeng & Ye, Sitan & Peng, Yao & Yang, Lu & Duan, Manli & Wang, Xingpeng, 2022. "Magnetically-treated brackish water affects soil water-salt distribution and the growth of cotton with film mulch drip irrigation in Xinjiang, China," Agricultural Water Management, Elsevier, vol. 263(C).
    19. 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).
    20. Delorit, Justin D. & Parker, Dominic P. & Block, Paul J., 2019. "An agro-economic approach to framing perennial farm-scale water resources demand management for water rights markets," Agricultural Water Management, Elsevier, vol. 218(C), pages 68-81.
    21. Li, Na & Li, Yi & Yang, Qiliang & Biswas, Asim & Dong, Hezhong, 2024. "Simulating climate change impacts on cotton using AquaCrop model in China," Agricultural Systems, Elsevier, vol. 216(C).
    22. 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).
    23. 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.
    24. Cheng, Minghui & Wang, Haidong & Fan, Junliang & Xiang, Youzhen & Liu, Xiaoqiang & Liao, Zhenqi & Abdelghany, Ahmed Elsayed & Zhang, Fucang & Li, Zhijun, 2022. "Evaluation of AquaCrop model for greenhouse cherry tomato with plastic film mulch under various water and nitrogen supplies," Agricultural Water Management, Elsevier, vol. 274(C).
    25. Chu, Xiaosheng & Flerchinger, Gerald N. & Ma, Liwang & Fang, Quanxiao & Malone, Robert W. & Yu, Qiang & He, Jianqiang & Wang, Naijiang & Feng, Hao & Zou, Yufeng, 2022. "Development of RZ-SHAW for simulating plastic mulch effects on soil water, soil temperature, and surface energy balance in a maize field," Agricultural Water Management, Elsevier, vol. 269(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Komlan Koudahe & Aleksey Y. Sheshukov & Jonathan Aguilar & Koffi Djaman, 2021. "Irrigation-Water Management and Productivity of Cotton: A Review," Sustainability, MDPI, vol. 13(18), pages 1-21, September.
    2. Sandhu, Rupinder & Irmak, Suat, 2019. "Performance of AquaCrop model in simulating maize growth, yield, and evapotranspiration under rainfed, limited and full irrigation," Agricultural Water Management, Elsevier, vol. 223(C), pages 1-1.
    3. Zhang, Tibin & Dong, Qin’ge & Zhan, Xiaoyun & He, Jianqiang & Feng, Hao, 2019. "Moving salts in an impermeable saline-sodic soil with drip irrigation to permit wolfberry production," Agricultural Water Management, Elsevier, vol. 213(C), pages 636-645.
    4. Zhu, Hongyan & Zheng, Bingyan & Nie, Weibo & Fei, Liangjun & Shan, Yuyang & Li, Ge & Liang, Fei, 2024. "Optimization of maize irrigation strategy in Xinjiang, China by AquaCrop based on a four-year study," Agricultural Water Management, Elsevier, vol. 297(C).
    5. 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).
    6. 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).
    7. Sandhu, Rupinder & Irmak, Suat, 2019. "Assessment of AquaCrop model in simulating maize canopy cover, soil-water, evapotranspiration, yield, and water productivity for different planting dates and densities under irrigated and rainfed cond," Agricultural Water Management, Elsevier, vol. 224(C), pages 1-1.
    8. Cheng, Minghui & Wang, Haidong & Fan, Junliang & Xiang, Youzhen & Liu, Xiaoqiang & Liao, Zhenqi & Abdelghany, Ahmed Elsayed & Zhang, Fucang & Li, Zhijun, 2022. "Evaluation of AquaCrop model for greenhouse cherry tomato with plastic film mulch under various water and nitrogen supplies," Agricultural Water Management, Elsevier, vol. 274(C).
    9. Wang, Jiangtao & Du, Gangfeng & Tian, Jingshan & Zhang, Yali & Jiang, Chuangdao & Zhang, Wangfeng, 2020. "Effect of irrigation methods on root growth, root-shoot ratio and yield components of cotton by regulating the growth redundancy of root and shoot," Agricultural Water Management, Elsevier, vol. 234(C).
    10. Liu, Yi & Zeng, Wenzhi & Ao, Chang & Lei, Guoqing & Wu, Jingwei & Huang, Jiesheng & Gaiser, Thomas & Srivastava, Amit Kumar, 2022. "Optimization of winter irrigation management for salinized farmland using a coupled model of soil water flow and crop growth," Agricultural Water Management, Elsevier, vol. 270(C).
    11. Tsakmakis, I.D. & Gikas, G.D. & Sylaios, G.K., 2021. "Integration of Sentinel-derived NDVI to reduce uncertainties in the operational field monitoring of maize," Agricultural Water Management, Elsevier, vol. 255(C).
    12. Fawen Li & Dong Yu & Yong Zhao, 2019. "Irrigation Scheduling Optimization for Cotton Based on the AquaCrop Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(1), pages 39-55, January.
    13. Che, Zheng & Wang, Jun & Li, Jiusheng, 2021. "Effects of water quality, irrigation amount and nitrogen applied on soil salinity and cotton production under mulched drip irrigation in arid Northwest China," Agricultural Water Management, Elsevier, vol. 247(C).
    14. Toumi, J. & Er-Raki, S. & Ezzahar, J. & Khabba, S. & Jarlan, L. & Chehbouni, A., 2016. "Performance assessment of AquaCrop model for estimating evapotranspiration, soil water content and grain yield of winter wheat in Tensift Al Haouz (Morocco): Application to irrigation management," Agricultural Water Management, Elsevier, vol. 163(C), pages 219-235.
    15. Li, Xiaobin & Kang, Yaohu, 2020. "Agricultural utilization and vegetation establishment on saline-sodic soils using a water–salt regulation method for scheduled drip irrigation," Agricultural Water Management, Elsevier, vol. 231(C).
    16. Bai, Mengjie & Tao, Qibo & Zhang, Zuxin & Lang, Shuqing & Li, Junhui & Chen, Dali & Wang, Yanrong & Hu, Xiaowen, 2023. "Effect of drip irrigation on seed yield, seed quality and water use efficiency of Hedysarum fruticosum in the arid region of Northwest China," Agricultural Water Management, Elsevier, vol. 278(C).
    17. Cai, Yaohui & Wu, Pute & Zhang, Lin & Zhu, Delan & Chen, Junying & Wu, ShouJun & Zhao, Xiao, 2017. "Simulation of soil water movement under subsurface irrigation with porous ceramic emitter," Agricultural Water Management, Elsevier, vol. 192(C), pages 244-256.
    18. Tsakmakis, I.D. & Kokkos, N.P. & Gikas, G.D. & Pisinaras, V. & Hatzigiannakis, E. & Arampatzis, G. & Sylaios, G.K., 2019. "Evaluation of AquaCrop model simulations of cotton growth under deficit irrigation with an emphasis on root growth and water extraction patterns," Agricultural Water Management, Elsevier, vol. 213(C), pages 419-432.
    19. Saglam, Mustafa & Sintim, Henry Y. & Bary, Andy I. & Miles, Carol A. & Ghimire, Shuresh & Inglis, Debra A. & Flury, Markus, 2017. "Modeling the effect of biodegradable paper and plastic mulch on soil moisture dynamics," Agricultural Water Management, Elsevier, vol. 193(C), pages 240-250.
    20. Xu, Junzeng & Bai, Wenhuan & Li, Yawei & Wang, Haiyu & Yang, Shihong & Wei, Zheng, 2019. "Modeling rice development and field water balance using AquaCrop model under drying-wetting cycle condition in eastern China," Agricultural Water Management, Elsevier, vol. 213(C), pages 289-297.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agiwat:v:196:y:2018:i:c:p:99-113. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.