Abbasi, F., Akbari, M., Nasseri, A., Abbassi, N., Baghani, J., Joleini, M., Shahrokhnia, M.A., Nakhjavanimoghaddam, M.M., Sepehri Sadeghian, S., Moayeri, M., Hassanoghli, A., Haghayeghi, A., Ghadami Firouzabadi, A., Mousavifazl, S.H. & Yazdani, M. (2024). A Review of water consumption management indicators of different crops in Iran. Irrigation and Drainage Structures Engineering Research, 25(94), 1-16. doi: 10.22092/idser.2024.364605.1569. (In Persian)
Abbassi, F., Nasseri, A., Nakhjavani Moghaddam, M.M., Salamati, N., Joleini, M., Khorramian, M., Dehghanian, S.E., Gomrokchi, A.Y., Eslami, A., Akhavan, K., Farzamnnia, M., Baghani, J. & Akbari, M. (2019). Comparison of irrigation water management indices of silage maize in modern and conventional irrigation networks. Irrigation and Drainage Structures Engineering Research, 19(73), 143-156. doi: 10.22092/idser.2018.121427.1313. (In Persian)
Amiri, E., & Khorsand, A. (2018). Evaluation of Aquacrop model to predict maize total biomass and grain yield under different water regimes and fertilizer. Plant Ecophysiology, 10(33), 174-185. (In Persian)
Amiri, E., Bahrani, A., Khorsand, A., & Haghjoo, M. (2016). Evaluating AquaCrop Model Performance to Predict Grain Yield and Wheat Biomass, Under Water Stress. Water and Soil Science, 25(4/2), 217-229. (In Persian)
Amiri, E., Khorsand, A., Daneshian, J., & Yousefi, M. (2018). Predicting biomass and grain yield in canola under different water regimes and fertilizers using AquaCrop model. Irrigation Sciences and Engineering, 41(1), 57-72. (In Persian)
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. Agriculture Water Management, 100 (1), 1-8.
Bahrami, C., Rezaverdinejad, V., Khorsand, A., Besharat, S., & Majnooni-Heris, A. (2019). Assessment of AquaCrop model for simulating spring canola yield and soil water under water stresses. Journal of Plant Ecophysiology, 36(11), 53-66. (In Persian)
Bazaneh, M., Khorsand, A., Zeinalzadeh, K., & Besharat, S. (2016). Evaluation of HYDRUS 2D software to estimate stored water and wetting pattern of surface drip irrigation. Water and Soil Science, 26(1-2), 287-301. (In Persian)
Boulange, J., Nizamov, S., Nurbekov, A., Ziyatov, M., Kamilov, B., Nizamov, S., ... & Watanabe, H. (2025). Calibration and validation of the AquaCrop model for simulating cotton growth under a semi-arid climate in Uzbekistan. Agricultural Water Management, 310, 109360. https://doi.org/10.1016/j.agwat.2025.109360
Eskandaripour, R., Khorsand, A., Rezaverdinejad, V., Zeinalzadeh, K., & Norjoo, A. (2020). Investigation of polyethylene mulch on improvement of tomato water use efficiency using AquaCrop model. Journal of Plant Ecophysiology, 11(39), 71-85. (In Persian)
Fang, Q., Ma, L., Ahuja, L.R., Trout, T.J., Malone, R., Zhang, H., & Yu, Q. (2017). Long-term simulation of growth stage-based irrigation scheduling in maize under various water constraints in Colorado, USA. Frontiers of Agricultural Science and Engineering (FASE), 4(2), 172.
Feng, D., Li, G., Wang, D., Wulazibieke, M., Cai, M., Kang, J., Yuan, Z., & Xu, H. (2022). Evaluation of AquaCrop model performance under mulched drip irrigation for maize in Northeast China. Agricultural Water Management, 261, 107372.
Garofalo, P., Riccardi, M., Di Tommasi, P., Tedeschi, A., Rinaldi, M., & De Lorenzi, F. (2025). AquaCrop model to optimize water supply for a sustainable processing tomato cultivation in the Mediterranean area: A multi-objective approach. Agricultural Systems, 223, 104198. https://doi.org/10.1016/j.agsy.2024.104198
Ghorbanian Kurdabadi, M., Liaghat, A.M, Vatankhah, E., & Noori, H. (2013). Simulation of yield and evapotranpiration of forage maize using AquaCrop model. Journal of Soil and Water Resources Conservation, 4(1), 48-64. (In Persian)
He, Q., Li, S., Hu, D., Wang, Y., & Cong, X. (2021). Performance assessment of the AquaCrop model for film-mulched maize with full drip irrigation in Northwest China. Irrigation Science, 39(2), 277-292.
Hsiao, T. C., Heng, L., Steduto, P., Rojas‐Lara, B., Raes, D., & Fereres, E. (2009). AquaCrop—the FAO crop model to simulate yield response to water: III. Parameterization and testing for maize. Agronomy Journal, 101(3), 448-459.
Khajehpour, M.R. (2014). Public Agriculture. Jahad Daneshgahi Publications (Isfahan University of Technology), Third edition. 658 p. (In Persian)
Khorsand, A., Dehghanisanij, H., Heris, A.M., Asgarzadeh, H., & Rezaverdinejad, V. (2024). Calibration and evaluation of the FAO AquaCrop model for canola (Brassica napus) under full and deficit irrigation in a semi-arid region. Applied Water Science, 14(3), 56.
Khorsand, A., Rezaverdinejad, V., Asgarzadeh, H., Majnooni-Heris, A., Rahimi, A. & Besharat, S. (2019). Irrigation scheduling of maize based on plant and soil indices with surface drip irrigation subjected to different irrigation regimes. Agricultural Water Management, 224(105740), 1-11.
Khorsand, A., Rezaverdinejad, V., Shahidi, A. (2014a). Comparison of Food and Agriculture Organization AquaCrop and SWAP agrohydrological models to simulate water and salt transport during growing season of winter wheat. International Journal of Biosciences (IJB), 4(11), 223-233.
Khorsand, A., Verdinejad, V.R., & Shahidi, A. (2014b). Performance evaluation of AquaCrop model to predict yield production of wheat, soil water and solute transport under water and salinity stresses. Water and Irrigation Management, 4(1), 89-104. (In Persian)
Liu, C., Qi, Z., Gu, Z., Gui, D., & Zeng, F. (2017). Optimizing irrigation rates for cotton production in an extremely arid area using RZWQM2-simulated water stress. Transactions of the ASABE, 60(6), 2041-2052.
Mabhaudhi, T., Modi, A.T., & Beletse, Y.G. (2014). Parameterisation and evaluation of the FAO-AquaCrop model for a South African taro (Colocasia esculenta L. Schott) landrace. Agricultural and Forest Meteorology, 192, 132-139.
Mahrokh, A., Golzardi, F., Azizi, F., mofidian, S.M.A., Zamanian, M., Rahjoo, V., Torabi, M. & soltani, E. (2021). Agronomical factors analysis on grain maize yield decreasing in Iran with meta-analysis method. Journal of Crops Improvement, 23(1), 73-86. doi: 10.22059/jci.2020.292889.2299
Molden, D.J., Sakthivadivel, R., Perry, C.J., & De Fraiture, C. (1998). Indicators for comparing performance of irrigated agricultural systems. Research Report No. 20, Colombo, Sri Lanka: International Water Management Institute.
Nouri, M., Homaee, M., Pereira, L.S., & Bybordi, M. (2023). Water management dilemma in the agricultural sector of Iran: A review focusing on water governance. Agricultural Water Management, 288, 108480. https://doi.org/10.1016/j.agwat.2023.108480
Raes, D., Steduto, P., Hsiao, T.C. & Freres, E. (2012). Refrence Manual Aquacrop, FAO, Land and Water Division, Rome Italy.
Raes, D., Steduto, P., Hsiao, T.C., & Fereres. E. (2009). AquaCrop-The FAO crop model for predicting yield response to water: II. Main algorithms and software description. Agron. J. 101, 438–447.
Raja, O., & Parsinejad, M. (2023). Cost-effective strategies to improve crop water productivity—case study: Bakhtegan and Maharloo, Iran. International Journal of Environmental Science and Technology, 20(1), 883-894.
Raja, O., Parsinejad, M., & Sohrabi, T. (2019). Evaluation of managment strategies to reduce water use in Marvdasht-Kharameh study area, Journal of Soil and Water Resources Conservation, 8(4), 67-86. (In Persian)
Raja, O., Veysi, S. and Barzegar, A. (2024). Evaluation the effectiveness of management strategies to reduce agricultural water use by using the AquaCrop model (case study: Hashtgerd plain). Irrigation and Drainage Structures Engineering Research, 25(96), 26-1. doi: 10.22092/idser.2024.367320.1595
Rawls, W.J., Brakensiek, D.L., & Saxtonn, K.E. (1982). Estimation of soil water properties. Transactions of the ASAE, 25(5), 1316-1320.
Rezaverdinejad, V., Khorsand, A., & Shahidi, A. (2014). Evaluation and comparison of AquaCrop and FAO models for yield prediction of winter wheat under environmental stresses. Journal of Biodiversity and Environmental Sciences (JBES), 4(6), 438-449.
Sandhu, R., & Irmak, S. (2019). Performance of AquaCrop model in simulating maize growth, yield, and evapotranspiration under rainfed, limited and full irrigation. Agricultural Water Management, 223, 105687.
Steduto, P., Hsiao, T.C., Raes, D., & Fereres, E. (2009). AquaCrop—the FAO crop model to simulate yield response to water: I. Concepts and underlying principles. Agronomy journal, 101(3), 426-437.
Terán-Chaves, C.A., García-Prats, A., & Polo-Murcia, S.M. (2022). Calibration and validation of the FAO aquaCrop water productivity model for perennial ryegrass (Lolium perenne L.). Water, 14(23), 3933. https://doi.org/10.3390/w14233933
Vatankhah, I., & Ebrahimian, H. (2016). Assessment of AquaCrop model for simulating forage maize yield along the furrow. Iranian Journal of Soil and Water Research, 47(3), 495-504. (In Persian)
Wallach, D., Makowski D., Jones, J.W., & Brun, F. (2019). Working with Dynamic Crop Models, Chapter 6: Uncertainty and Sensitivity Analysis.