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Evaluation of a new irrigation decision support system in improving cotton yield and water productivity in an arid climate

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  • Chen, Xiaoping
  • Qi, Zhiming
  • Gui, Dongwei
  • Sima, Matthew W.
  • Zeng, Fanjiang
  • Li, Lanhai
  • Li, Xiangyi
  • Gu, Zhe

Abstract

Optimizing irrigation scheduling through a Decision Support System has shown promise to improve crop yield and water productivity in irrigated agriculture in an arid climate. The effects of an irrigation scheduling method on cotton (Gossypium hirsutum L.) yield and water productivity were investigated in Qira Oasis, China from 2016–2018. The Decision Support System for Irrigation Scheduling (DSSIS) was based on forecasted rainfall and water stress index simulated by the Root Zone Water Quality Model (RZWQM2). A field experiment was conducted to test the viability of the DSSIS in 2016. The design of the experiment was a randomized complete that included two factors and two levels for each factor: (i) irrigation scheduling method—DSSIS–based (DSS) and soil moisture sensor–based (SMS), and (ii) irrigation level—full irrigation (FI) and deficit irrigation (DI, 75 % of FI). Implementation of the DSS led to significant increases in seed cotton yield [1.05 Mg ha–1 (32 %)] and water productivity [1.64 kg ha–1 mm–1 (20 %)] compared to the SMS. Compared to DI, FI significantly increased cotton yield [0.69 Mg ha–1 (20 %)] but had no significant effect on water productivity. In general, the higher water productivity under DSS (vs. SMS) was attributed to the reduced water stress and increased seed cotton yield. While the DSS–FI treatment provided the greatest seed cotton yield (4.55 Mg ha–1) and net income (US $3427 ha–1), the highest water productivity (10.09 kg ha–1 mm–1) was achieved under the DSS–DI treatment. Water use under DSS–DI treatment significantly decreased by 51 mm (10 %) and 23 mm (5 %), respectively, compared to DSS–FI and SMS–FI treatments. Therefore, our results demonstrated that the DSS with deficit irrigation could maintain cotton yield and improve water productivity under an arid desert climate.

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  • 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).
    • Handle: RePEc:eee:agiwat:v:234:y:2020:i:c:s0378377419319353
    DOI: 10.1016/j.agwat.2020.106139
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    1. Jha, Shiva K. & Gao, Yang & Liu, Hao & Huang, Zhongdong & Wang, Guangshuai & Liang, Yueping & Duan, Aiwang, 2017. "Root development and water uptake in winter wheat under different irrigation methods and scheduling for North China," Agricultural Water Management, Elsevier, vol. 182(C), pages 139-150.
    2. O'Shaughnessy, S.A. & Evett, S.R., 2010. "Canopy temperature based system effectively schedules and controls center pivot irrigation of cotton," Agricultural Water Management, Elsevier, vol. 97(9), pages 1310-1316, September.
    3. Rao, Sajjan Singh & Tanwar, Suresh Pal Singh & Regar, Panna Lal, 2016. "Effect of deficit irrigation, phosphorous inoculation and cycocel spray on root growth, seed cotton yield and water productivity of drip irrigated cotton in arid environment," Agricultural Water Management, Elsevier, vol. 169(C), pages 14-25.
    4. Dagdelen, N. & Basal, H. & YIlmaz, E. & Gürbüz, T. & Akçay, S., 2009. "Different drip irrigation regimes affect cotton yield, water use efficiency and fiber quality in western Turkey," Agricultural Water Management, Elsevier, vol. 96(1), pages 111-120, January.
    5. Li, Jiang & Song, Jian & Li, Mo & Shang, Songhao & Mao, Xiaomin & Yang, Jian & Adeloye, Adebayo J., 2018. "Optimization of irrigation scheduling for spring wheat based on simulation-optimization model under uncertainty," Agricultural Water Management, Elsevier, vol. 208(C), pages 245-260.
    6. Papastylianou, Panayiota T. & Argyrokastritis, Ioannis G., 2014. "Effect of limited drip irrigation regime on yield, yield components, and fiber quality of cotton under Mediterranean conditions," Agricultural Water Management, Elsevier, vol. 142(C), pages 127-134.
    7. Thompson, R.B. & Gallardo, M. & Valdez, L.C. & Fernandez, M.D., 2007. "Determination of lower limits for irrigation management using in situ assessments of apparent crop water uptake made with volumetric soil water content sensors," Agricultural Water Management, Elsevier, vol. 92(1-2), pages 13-28, August.
    8. Lima, F.A & Martínez-Romero, A. & Tarjuelo, J.M. & Córcoles, J.I., 2018. "Model for management of an on-demand irrigation network based on irrigation scheduling of crops to minimize energy use (Part I): Model Development," Agricultural Water Management, Elsevier, vol. 210(C), pages 49-58.
    9. Wang, Ruoshui & Wan, Shuqin & Kang, Yaohu & Dou, Chaoyin, 2014. "Assessment of secondary soil salinity prevention and economic benefit under different drip line placement and irrigation regime in northwest China," Agricultural Water Management, Elsevier, vol. 131(C), pages 41-49.
    10. Oker, Tobias E. & Kisekka, Isaya & Sheshukov, Aleksey Y. & Aguilar, Jonathan & Rogers, Danny H., 2018. "Evaluation of maize production under mobile drip irrigation," Agricultural Water Management, Elsevier, vol. 210(C), pages 11-21.
    11. 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.
    12. McCready, M.S. & Dukes, M.D. & Miller, G.L., 2009. "Water conservation potential of smart irrigation controllers on St. Augustinegrass," Agricultural Water Management, Elsevier, vol. 96(11), pages 1623-1632, November.
    13. Ibragimov, Nazirbay & Evett, Steven R. & Esanbekov, Yusupbek & Kamilov, Bakhtiyor S. & Mirzaev, Lutfullo & Lamers, John P.A., 2007. "Water use efficiency of irrigated cotton in Uzbekistan under drip and furrow irrigation," Agricultural Water Management, Elsevier, vol. 90(1-2), pages 112-120, May.
    14. Wang, Ruoshui & Kang, Yaohu & Wan, Shuqin, 2015. "Effects of different drip irrigation regimes on saline–sodic soil nutrients and cotton yield in an arid region of Northwest China," Agricultural Water Management, Elsevier, vol. 153(C), pages 1-8.
    15. Jonathan A. Foley & Navin Ramankutty & Kate A. Brauman & Emily S. Cassidy & James S. Gerber & Matt Johnston & Nathaniel D. Mueller & Christine O’Connell & Deepak K. Ray & Paul C. West & Christian Balz, 2011. "Solutions for a cultivated planet," Nature, Nature, vol. 478(7369), pages 337-342, October.
    16. Suleiman, Ayman A. & Tojo Soler, Cecilia M. & Hoogenboom, Gerrit, 2007. "Evaluation of FAO-56 crop coefficient procedures for deficit irrigation management of cotton in a humid climate," Agricultural Water Management, Elsevier, vol. 91(1-3), pages 33-42, July.
    17. 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.
    18. Soulis, Konstantinos X. & Elmaloglou, Stamatios & Dercas, Nicholas, 2015. "Investigating the effects of soil moisture sensors positioning and accuracy on soil moisture based drip irrigation scheduling systems," Agricultural Water Management, Elsevier, vol. 148(C), pages 258-268.
    19. Nolz, R. & Cepuder, P. & Balas, J. & Loiskandl, W., 2016. "Soil water monitoring in a vineyard and assessment of unsaturated hydraulic parameters as thresholds for irrigation management," Agricultural Water Management, Elsevier, vol. 164(P2), pages 235-242.
    20. Wen, Yeqiang & Shang, Songhao & Yang, Jian, 2017. "Optimization of irrigation scheduling for spring wheat with mulching and limited irrigation water in an arid climate," Agricultural Water Management, Elsevier, vol. 192(C), pages 33-44.
    21. Shareef, Muhammad & Gui, Dongwei & Zeng, Fanjiang & Waqas, Muhammad & Zhang, Bo & Iqbal, Hassan, 2018. "Water productivity, growth, and physiological assessment of deficit irrigated cotton on hyperarid desert-oases in northwest China," Agricultural Water Management, Elsevier, vol. 206(C), pages 1-10.
    22. Müller, T. & Ranquet Bouleau, C. & Perona, P., 2016. "Optimizing drip irrigation for eggplant crops in semi-arid zones using evolving thresholds," Agricultural Water Management, Elsevier, vol. 177(C), pages 54-65.
    23. Wang, Ruoshui & Wan, Shuqin & Sun, Jiaxia & Xiao, Huijie, 2018. "Soil salinity, sodicity and cotton yield parameters under different drip irrigation regimes during saline wasteland reclamation," Agricultural Water Management, Elsevier, vol. 209(C), pages 20-31.
    24. Dang, T. & Pedroso, R. & Laux, P. & Kunstmann, H., 2018. "Development of an integrated hydrological-irrigation optimization modeling system for a typical rice irrigation scheme in Central Vietnam," Agricultural Water Management, Elsevier, vol. 208(C), pages 193-203.
    25. Saseendran, S.A. & Trout, T.J. & Ahuja, L.R. & Ma, L. & McMaster, G.S. & Nielsen, D.C. & Andales, A.A. & Chávez, J.L. & Ham, J., 2015. "Quantifying crop water stress factors from soil water measurements in a limited irrigation experiment," Agricultural Systems, Elsevier, vol. 137(C), pages 191-205.
    26. Liu, Haijun & Yang, Huiying & Zheng, Jianhua & Jia, Dongdong & Wang, Jun & Li, Yan & Huang, Guanhua, 2012. "Irrigation scheduling strategies based on soil matric potential on yield and fruit quality of mulched-drip irrigated chili pepper in Northwest China," Agricultural Water Management, Elsevier, vol. 115(C), pages 232-241.
    27. Thompson, R.B. & Gallardo, M. & Valdez, L.C. & Fernandez, M.D., 2007. "Using plant water status to define threshold values for irrigation management of vegetable crops using soil moisture sensors," Agricultural Water Management, Elsevier, vol. 88(1-3), pages 147-158, March.
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    5. Francesco Cavazza & Francesco Galioto & Meri Raggi & Davide Viaggi, 2020. "Digital Irrigated Agriculture: Towards a Framework for Comprehensive Analysis of Decision Processes under Uncertainty," Future Internet, MDPI, vol. 12(11), pages 1-16, October.
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    Keywords

    DSSIS; RZWQM2 model; Water use; Water stress index; Arid climate;
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