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Calibration and Evaluation of the FAO AquaCrop Model for Canola ( Brassica napus ) under Varied Moistube Irrigation Regimes

Author

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  • Tinashe Lindel Dirwai

    (School of Engineering, University of KwaZulu-Natal, P. Bag X01, Pietermaritzburg 3209, South Africa
    VarMac Consulting Engineers, Scottsville, Pietermaritzburg 3209, South Africa)

  • Aidan Senzanje

    (School of Engineering, University of KwaZulu-Natal, P. Bag X01, Pietermaritzburg 3209, South Africa)

  • Tafadzwanashe Mabhaudhi

    (Center for Transformative Agricultural and Food Systems, School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, P. Bag X01, Pietermaritzburg 3209, South Africa)

Abstract

The AquaCrop model was calibrated and validated for canola ( Brassica napus ) under Moistube irrigation (MTI) and various water regimes [(i) 100%, (ii) 75%, and (iii) 55% of crop water requirement ( ET c )] over two seasons, 2019 and 2020. The normalised root mean square ( nRMSE ), Model Efficiency ( EF ), R 2 , and the Willmot’s index of agreement ( d ) statistics were used to evaluate the model’s efficiency in simulating biomass ( B ), canopy cover ( CC ), yield ( Y ), and harvest index ( HI ). The calibration results indicated the model simulated with accuracy the CC (under 100% ET c R 2 = 0.99, EF = 0.92, nRMSE = 6.4%, d = 0.98) and 75% ET c ( R 2 = 0.99, EF = 0.92, nRMSE = 10.3%, d = 0.98). The model simulated CC well for validation for 100% ET c ( R 2 = 0.97, EF = 0.93, nRMSE = 22.5%, d = 0.98) and 75% ET c ( R 2 = 0.84, EF = 0.45, nRMSE = 59.2%, d = 0.86) irrigation regimes. Final biomass simulations were reasonably good under 100% ET c , 75% ET c , and 55% ET c irrigation regimes ( R 2 > 0.90, d > 0.65). The study showed the usefulness of AquaCrop for assessing yield response of canola to full and deficit irrigation scenarios under MTI.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jagris:v:11:y:2021:i:5:p:410-:d:548207
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    References listed on IDEAS

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    1. Zhang, Biao & Fu, Zetian & Wang, Jieqiong & Zhang, Lingxian, 2019. "Farmers’ adoption of water-saving irrigation technology alleviates water scarcity in metropolis suburbs: A case study of Beijing, China," Agricultural Water Management, Elsevier, vol. 212(C), pages 349-357.
    2. Hergert, G.W. & Margheim, J.F. & Pavlista, A.D. & Martin, D.L. & Supalla, R.J. & Isbell, T.A., 2016. "Yield, irrigation response, and water productivity of deficit to fully irrigated spring canola," Agricultural Water Management, Elsevier, vol. 168(C), pages 96-103.
    3. 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.
    4. Abedinpour, M. & Sarangi, A. & Rajput, T.B.S. & Singh, Man & Pathak, H. & Ahmad, T., 2012. "Performance evaluation of AquaCrop model for maize crop in a semi-arid environment," Agricultural Water Management, Elsevier, vol. 110(C), pages 55-66.
    5. Montoya, F. & Camargo, D. & Ortega, J.F. & Córcoles, J.I. & Domínguez, A., 2016. "Evaluation of Aquacrop model for a potato crop under different irrigation conditions," Agricultural Water Management, Elsevier, vol. 164(P2), pages 267-280.
    6. Katuwal, Krishna B. & Cho, Youngkoo & Singh, Sukhbir & Angadi, Sangamesh V. & Begna, Sultan & Stamm, Michael, 2020. "Soil water extraction pattern and water use efficiency of spring canola under growth-stage-based irrigation management," Agricultural Water Management, Elsevier, vol. 239(C).
    7. Hergert, G.W. & Margheim, J.F. & Pavlista, A.D. & Martin, D.L. & Isbell, T.A. & Supalla, R.J., 2016. "Irrigation response and water productivity of deficit to fully irrigated spring camelina," Agricultural Water Management, Elsevier, vol. 177(C), pages 46-53.
    8. Karandish, Fatemeh & Šimůnek, Jiří, 2019. "A comparison of the HYDRUS (2D/3D) and SALTMED models to investigate the influence of various water-saving irrigation strategies on the maize water footprint," Agricultural Water Management, Elsevier, vol. 213(C), pages 809-820.
    9. Andarzian, B. & Bannayan, M. & Steduto, P. & Mazraeh, H. & Barati, M.E. & Barati, M.A. & Rahnama, A., 2011. "Validation and testing of the AquaCrop model under full and deficit irrigated wheat production in Iran," Agricultural Water Management, Elsevier, vol. 100(1), pages 1-8.
    10. 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.
    11. 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.
    12. 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.
    13. Geerts, S. & Raes, D. & Garcia, M., 2010. "Using AquaCrop to derive deficit irrigation schedules," Agricultural Water Management, Elsevier, vol. 98(1), pages 213-216, December.
    14. Araya, A. & Habtu, Solomon & Hadgu, Kiros Meles & Kebede, Afewerk & Dejene, Taddese, 2010. "Test of AquaCrop model in simulating biomass and yield of water deficient and irrigated barley (Hordeum vulgare)," Agricultural Water Management, Elsevier, vol. 97(11), pages 1838-1846, November.
    15. 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.
    16. Yang, J.M. & Yang, J.Y. & Liu, S. & Hoogenboom, G., 2014. "An evaluation of the statistical methods for testing the performance of crop models with observed data," Agricultural Systems, Elsevier, vol. 127(C), pages 81-89.
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    1. Aleksei Dobrokhotov & Ludmila Kozyreva & Mariia Fesenko & Victoria Dubovitskaya & Sofia Sushko, 2023. "Soil Sulfur Deficiency Restricts Canola ( Brassica napus ) Productivity in Northwestern Russia Regardless of NPK Fertilization Level," Agriculture, MDPI, vol. 13(7), pages 1-13, July.

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