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Evaluation of the AquaCrop model for barley production under deficit irrigation and rainfed condition in Iran

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  • Tavakoli, Ali Reza
  • Mahdavi Moghadam, Mehran
  • Sepaskhah, Ali Reza

Abstract

The AquaCrop simulation model which has been developed by Food and Agricultural Organization (FAO) has the ability to assess the crop production under different irrigation water management. In this research, 2-year data of rainfed barley (2005–2007) from a research project at upstream of Karkheh river basin (Lorestan Province) were used to evaluate the accuracy of the AquaCrop model. The experimental treatments included: rainfed, one irrigation event at sowing time and one irrigation event at spring, that were performed in farmers’ fields. The AquaCrop model was evaluated to predict the effect of deficit irrigation and rainfed conditions on yield, soil water content and percentage of green canopy cover. The mean normalized mean root square error for comparison between the measured and predicted values for canopy cover percentage, soil water content, and grain yield were 8.7, 12.4 and 9.2%, respectively, that showed good model accuracy. Efficiency of the model in yield estimation, soil water content and green canopy cover percentage were 0.91, 0.8 and 0.98, respectively. Agreement index for yield was close to 1.0 that showed compatibility of these predicted values with actual values. The results showed that the AquaCrop model is appropriate tool to simulate barley yield under rainfed and deficit irrigation conditions in the study area. This model is a suitable tool to determine sowing date in rainfed conditions based on first effective rain.

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  • 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.
    • Handle: RePEc:eee:agiwat:v:161:y:2015:i:c:p:136-146
    DOI: 10.1016/j.agwat.2015.07.020
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    1. Singh, Anil Kumar & Tripathy, Rojalin & Chopra, Usha Kiran, 2008. "Evaluation of CERES-Wheat and CropSyst models for water-nitrogen interactions in wheat crop," Agricultural Water Management, Elsevier, vol. 95(7), pages 776-786, July.
    2. 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.
    3. 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.
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