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Evaluation of Aquacrop model for a potato crop under different irrigation conditions

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  • Montoya, F.
  • Camargo, D.
  • Ortega, J.F.
  • Córcoles, J.I.
  • Domínguez, A.

Abstract

The processes of calibration and validation of the Aquacrop model for the simulation of the growth and development of a potato crop (Agria cultivar) that was irrigated with a center pivot system are described in this study. The field experiments were conducted during 2011 (calibration) and 2012 (validation) in a semiarid region in southeastern Spain. The potatoes were irrigated with four treatments (120%, 100%, 80%, and 60% of the water requirement). The Aquacrop model was suitable for the simulation of the growth and development of potatoes in the climatic conditions of the study area. The canopy cover, total dry matter, dry matter of tubers and evapotranspiration were the primary variables analyzed. An acceptable goodness of fit was found between observed and simulated values. So, statistical indicators such as the Willmott index of agreement (d) and the coefficient of determination (R2) showed good values (d and R2>0.90) for the primary variables analyzed. Both the model and the observed data found that 80% and 60% of the water requirements were the treatments that were most efficient in the use of water. A high temperature stress coefficient affecting the harvest index is recommended to be incorporated in the model for avoiding overestimations of yield.

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  • 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.
    • Handle: RePEc:eee:agiwat:v:164:y:2016:i:p2:p:267-280
    DOI: 10.1016/j.agwat.2015.10.019
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    11. 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.
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    13. Serra, J. & Paredes, P. & Cordovil, CMdS & Cruz, S. & Hutchings, NJ & Cameira, MR, 2023. "Is irrigation water an overlooked source of nitrogen in agriculture?," Agricultural Water Management, Elsevier, vol. 278(C).
    14. 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.
    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. 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.
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    18. Woli, Prem & Hoogenboom, Gerrit, 2018. "Simulating weather effects on potato yield, nitrate leaching, and profit margin in the US Pacific Northwest," Agricultural Water Management, Elsevier, vol. 201(C), pages 177-187.

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