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Validation of the AquaCrop model for irrigated rice production under varied water regimes in Bangladesh

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  • Maniruzzaman, M.
  • Talukder, M.S.U.
  • Khan, M.H.
  • Biswas, J.C.
  • Nemes, A.

Abstract

Crop growth simulation models of varying complexity have been developed to predict the effects of soil, water, nutrients and climate on biomass and grain yields and water use efficiency of different crops. In this study, the AquaCrop model was calibrated and validated for rice crop growth modeling under different irrigation water regimes at the Bangladesh Rice Research Institute, Gazipur, Bangladesh during the 2008–09 and 2009–10 winter (dry) seasons. Three irrigation water regimes were examined: irrigation with continuous standing water (CSW), and irrigation at 3 or 5 days after water disappearance (3 or 5 DAWD) from the field as potential water saving adaptations. Model performance was evaluated in terms of prediction error (Pe), coefficient of determination (R2), the normalized root mean squared error (NRSME), the Nash–Sutcliffe model efficiency coefficient (EF) and Willmott’s index of agreement (d). The model calibration yielded 0.94

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  • Maniruzzaman, M. & Talukder, M.S.U. & Khan, M.H. & Biswas, J.C. & Nemes, A., 2015. "Validation of the AquaCrop model for irrigated rice production under varied water regimes in Bangladesh," Agricultural Water Management, Elsevier, vol. 159(C), pages 331-340.
    • Handle: RePEc:eee:agiwat:v:159:y:2015:i:c:p:331-340
    DOI: 10.1016/j.agwat.2015.06.022
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    5. López-Urrea, R. & Domínguez, A. & Pardo, J.J. & Montoya, F. & García-Vila, M. & Martínez-Romero, A., 2020. "Parameterization and comparison of the AquaCrop and MOPECO models for a high-yielding barley cultivar under different irrigation levels," Agricultural Water Management, Elsevier, vol. 230(C).
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    8. Adeboye, Omotayo B. & Schultz, Bart & Adekalu, Kenneth O. & Prasad, Krishna C., 2019. "Performance evaluation of AquaCrop in simulating soil water storage, yield, and water productivity of rainfed soybeans (Glycine max L. merr) in Ile-Ife, Nigeria," Agricultural Water Management, Elsevier, vol. 213(C), pages 1130-1146.
    9. Prahlad Lamichhane & Michalis Hadjikakou & Kelly K. Miller & Brett A. Bryan, 2022. "Climate change adaptation in smallholder agriculture: adoption, barriers, determinants, and policy implications," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(6), pages 1-24, August.
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    11. Zhang, Bangbang & Feng, Gary & Read, John J. & Kong, Xiangbin & Ouyang, Ying & Adeli, Ardeshir & Jenkins, Johnie N., 2016. "Simulating soybean productivity under rainfed conditions for major soil types using APEX model in East Central Mississippi," Agricultural Water Management, Elsevier, vol. 177(C), pages 379-391.
    12. Kabir, Md. Jahangir & Gaydon, Donald S. & Cramb, Rob & Roth, Christian H., 2018. "Bio-economic evaluation of cropping systems for saline coastal Bangladesh: I. Biophysical simulation in historical and future environments," Agricultural Systems, Elsevier, vol. 162(C), pages 107-122.
    13. Gao, Ya & Xu, Xu & Sun, Chen & Ding, Shibo & Huo, Zailin & Huang, Guanhua, 2021. "Parameterization and modeling of paddy rice (Oryza sativa L. ssp. japonica) growth and water use in cold regions: Yield and water-saving analysis," Agricultural Water Management, Elsevier, vol. 250(C).
    14. 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).
    15. Kim, Daeha & Chun, Jong Ahn & Inthavong, Thavone, 2021. "Managing climate risks in a nutrient-deficient paddy rice field using seasonal climate forecasts and AquaCrop," Agricultural Water Management, Elsevier, vol. 256(C).
    16. Tinashe Lindel Dirwai & Aidan Senzanje & Tafadzwanashe Mabhaudhi, 2021. "Calibration and Evaluation of the FAO AquaCrop Model for Canola ( Brassica napus ) under Varied Moistube Irrigation Regimes," Agriculture, MDPI, vol. 11(5), pages 1-18, May.
    17. Mustafa, S.M.T. & Vanuytrecht, E. & Huysmans, M., 2017. "Combined deficit irrigation and soil fertility management on different soil textures to improve wheat yield in drought-prone Bangladesh," Agricultural Water Management, Elsevier, vol. 191(C), pages 124-137.
    18. Pirmoradian, Nader & Davatgar, Naser, 2019. "Simulating the effects of climatic fluctuations on rice irrigation water requirement using AquaCrop," Agricultural Water Management, Elsevier, vol. 213(C), pages 97-106.
    19. You, Yang & Wang, Yakun & Fan, Xiaodong & Dai, Qin & Yang, Guang & Wang, Wene & Chen, Dianyu & Hu, Xiaotao, 2024. "Progress in joint application of crop models and hydrological models," Agricultural Water Management, Elsevier, vol. 295(C).
    20. Prahlad Lamichhane & Michalis Hadjikakou & Kelly K. Miller & Brett A. Bryan, 2022. "Climate change adaptation in smallholder agriculture: adoption, barriers, determinants, and policy implications," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(5), pages 1-24, June.

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