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Assessment of AquaCrop Model in Simulating Sugar Beet Canopy Cover, Biomass and Root Yield under Different Irrigation and Field Management Practices in Semi-Arid Regions of Pakistan

Author

Listed:
  • Abdul Malik

    (University of Engineering & Technology)

  • Abdul Sattar Shakir

    (University of Engineering & Technology)

  • Muhammad Ajmal

    (University of Engineering & Technology)

  • Muhammad Jamal Khan

    (Agricultural University Peshawar)

  • Taj Ali Khan

    (University of Engineering & Technology)

Abstract

The AquaCrop model was analyzed for simulating sugar beet crop production under four irrigation regimes, three mulching conditions and three furrow irrigation systems in semi-arid region of Pakistan. Irrigation regimes were full irrigation (FI), 20% deficit irrigation (DI20), 40% deficit irrigation (DI40) and 60% deficit irrigation (DI60). The mulching practices were No-mulch (NM), black film mulch (BFM) and straw mulch (SM). The furrow irrigation systems were conventional ridge-furrow (CRF) system, medium raised-bed (MRB) system and wide raised-bed (WRB) system. The model was calibrated and validated using the independent data sets of full irrigation and deficit irrigation regimes collected during 2011–12 cropping season. The model performance was evaluated by using different statistical indicators such as Root Mean Square Error (RMSE), index of agreement (dindex), and Nash–Sutcliffe Efficiency (NSE). These indicators showed that the model fairly simulated sugar beet canopy cover for all treatments with 3.00 ≤ RMSE ≤ 16.89, 0.84 ≤ dindex ≤ 0.97, and 0.76 ≤ NSE ≤ 0.99. For biomass and root yield, the model performance was excellent under all full irrigation (FI) and mild deficit irrigation (DI20) treatments with RMSE ranged between 0.07 and 1.17, dindex between 0.48 and 0.84, and NSE between 0.42 and 0.86, respectively. However the low values of dindex (0.10 and 0.13) and NSE (−69.32 and −30.63) showed that the model overestimated both the biomass and root yield when 20% deficit irrigation was applied without mulch in WRB system. The model also over estimated the yield and biomass when 40% deficit irrigation was applied in CRF system. The highest overestimation (dindex: 0.10 to 0.11; NSE: −50.92 to −70.55) was observed when highest stress level (DI60) was applied in the presence of BFM in CRF system. Based on the model’s overall performance, the AquaCrop application is recommended for developing efficient farm water management strategies in the semi-arid regions.

Suggested Citation

  • Abdul Malik & Abdul Sattar Shakir & Muhammad Ajmal & Muhammad Jamal Khan & Taj Ali Khan, 2017. "Assessment of AquaCrop Model in Simulating Sugar Beet Canopy Cover, Biomass and Root Yield under Different Irrigation and Field Management Practices in Semi-Arid Regions of Pakistan," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(13), pages 4275-4292, October.
    • Handle: RePEc:spr:waterr:v:31:y:2017:i:13:d:10.1007_s11269-017-1745-z
    DOI: 10.1007/s11269-017-1745-z
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    References listed on IDEAS

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    1. Geerts, Sam & Raes, Dirk, 2009. "Deficit irrigation as an on-farm strategy to maximize crop water productivity in dry areas," Agricultural Water Management, Elsevier, vol. 96(9), pages 1275-1284, September.
    2. Iqbal, M. Anjum & Shen, Yanjun & Stricevic, Ruzica & Pei, Hongwei & Sun, Hongyoung & Amiri, Ebrahim & Penas, Angel & del Rio, Sara, 2014. "Evaluation of the FAO AquaCrop model for winter wheat on the North China Plain under deficit irrigation from field experiment to regional yield simulation," Agricultural Water Management, Elsevier, vol. 135(C), pages 61-72.
    3. Tavakoli, Ali Reza & Mahdavi Moghadam, Mehran & Sepaskhah, Ali Reza, 2015. "Evaluation of the AquaCrop model for barley production under deficit irrigation and rainfed condition in Iran," Agricultural Water Management, Elsevier, vol. 161(C), pages 136-146.
    4. Igbadun, Henry E. & Ramalan, A.A. & Oiganji, Ezekiel, 2012. "Effects of regulated deficit irrigation and mulch on yield, water use and crop water productivity of onion in Samaru, Nigeria," Agricultural Water Management, Elsevier, vol. 109(C), pages 162-169.
    5. 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.
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    Cited by:

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    2. Alvar-Beltrán, J. & Heureux, A. & Soldan, R. & Manzanas, R. & Khan, B. & Dalla Marta, A., 2021. "Assessing the impact of climate change on wheat and sugarcane with the AquaCrop model along the Indus River Basin, Pakistan," Agricultural Water Management, Elsevier, vol. 253(C).
    3. Wang, Wangtian & Ma, Li & Wu, Junyan & Sun, Wancang & Ali, Shahzad & Yang, Gang & Pu, Yuanyuan & Liu, Lijun & Fang, Yan, 2023. "Cultivation practices with various mulching materials to regulate chlorophyll fluorescence, cuticular wax, and rapeseed productivity under semi-arid regions," Agricultural Water Management, Elsevier, vol. 288(C).
    4. 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.
    5. Nyathi, M.K. & van Halsema, G.E. & Annandale, J.G. & Struik, P.C., 2018. "Calibration and validation of the AquaCrop model for repeatedly harvested leafy vegetables grown under different irrigation regimes," Agricultural Water Management, Elsevier, vol. 208(C), pages 107-119.

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