Document Type : Research Paper


1 M.Tech. Student, Department of Water Sciences and Engineering, Faculty of Agriculture and Natural Resources, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran

2 Assist. Professor, Department of Water Sciences and Engineering, Faculty of Agriculture and Natural Resources, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran

3 Assist. Professor, Agricultural Engineering Research Institute (AERI), Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran


The importance of the corn plant has led to the widespread cultivation of different cultivars of this crop in many parts of Iran. Since the study of environmental and managerial factors such as planting density, irrigation amount and plant cultivar on grain yield, biomass and water use efficiency of crops requires costly and time-consuming field experiments, it seems that the effect of various factors on the crop yield can be stimulated using plant models. The present study was performed to evaluate the AquaCrop plant model for two maize cultivars,  mid cultivar SC500 and early cultivar SC302, under 75000, 85000 and 95000 and 80000, 90000 and 100000 plant/ha densities, respectively, with different irrigation values of 75, 100 and 125%. The results showed that the AquaCrop model had good accuracy (RSME = 0.89 ton/ha and NRSME = 0.10) in simulating grain yield and maize water use efficiency (EF and d = 0.99). In simulation of corn biomass, this plant model had acceptable accuracy (RSME = 2.47 ton/haand NRSME: = 0.14) and good performance (EF = 0.98 and d = 0.99). AquaCrop model also had good accuracy (RSME = 0.07 kg/m3 and NRSME = 0.07) and efficiency (EF and d = 0.99) in simulating corn water use efficiency. Based on these results, the AquaCrop model is proposed to simulate corn cultivars under the mentioned conditions..


Main Subjects

Ahmadee M., Khashei Siuki, A. and Sayyari, M. H. (2015). Comparison of efficiency of different equations to estimate the water requirement of saffron (crocus sativus L.) (Case study: Birjand plain, Iran). J. Agronom., 8(4), 505-520 [In Persian].
Araya A., Habtu, S., Hadgu, K.M., Kebede, A., and Dejene, T. (2010). Test of AquaCrop model in simulating biomass and yield of water deficit and irrigated barely. J. Agricultural Water Management., 97, 1838–1846.
Cheong Y. H., Kim, K. N., Pandey, G. K., Gupta, R., Grant, J. J., and Luan, S. (2003). A calcium sensor that differentially regulates salt, drought and cold responses in Arabidopsis. J. The Plant Cell., 15, 1833-1845.
De Juan Valero J. A. M., Maturano, A., Artigao, J. M., Ramirez,T. M. B., and Ortega, A. J. F. (2005). Growth and nitrogen use efficiency of irrigated maize in a semiarid region as affected by nitrogen fertilization. J. Spanish Journal of Agricultural Research., 3(1), 134-144.
Ebrahimipak N., Ahmadee, M., Egdernezhad, A., Khashei Siuki, A. (2018). Evaluation of AquaCrop to simulate saffron (crocus sativus L.) yield under different water management scenarios and zeolite amount. J. Water and Soil Resources Conservation., 8(1), 117-132 [In Persian].
Ebrahimipak N., Egdernezhad, A., Tafteh, A., and Ahmadee, M. (2019). Evaluation of AquaCrop, WOFOST, and CropSyst to Simulate Rapeseed Yield. J. Irrigation and Drainage., 13(3-75), 715-726 [In Persian].
Egdernezhad A., Ebrahimipak, N., Tafteh, A., Ahmadee, M. (2019). Canola Irrigation Scheduling using AquaCrop Model in Qazvin Plain. J. Water Management in Agriculture., 5(2), 53-64 [In Persian].
Geerts S., and Raes, D. (2009). Defecit irrigation as on-farm strategy to maximize crop water productivity in dry areas. J. Agricultural Water Management., 96: 1275-1284.
Heng L. k., Hsiao, T. C., Evett, S., Howell, T. and P. Steduto. (2009). Validating the FAO AquaCrop model for Irrigated and Water Deficient field maize. J. Agronomy., 101(3), 488-498.
Hsiao T. C., Heng, L K., Steduto, P., Raes, D. and E. Fereres. (2009). AquaCrop-Model parameterization and testing for maize. J. Agronomy., 101, 448-459.
Katerji N., Campi, P., and Mastrorilli, M. (2013). Productivity, evapotranspiration, and water use efficiency of corn and tomato crops simulated by AquaCrop under contrasting water stress conditions in the Mediterranean region. J. Agricultural Water Management., 130, 14-26.
Masanganise J., Basira, K., Chipindu, B., Mashonjowa, E., and Mhizha, T. (2013). Testing the utility of a crop growth simulation model in predicting maize yield in a changing climate in Zimbabwe. J. Agricultural and Food Science., 3(4), 157-163.
Nakhjavani Moghaddam M. M., Farhadi, E., Sadreghaen, S. H., Najafi, E. (2013). Effects of Water and Plant Density on Grain Yield and Morphological Characteristics of New Maize Hybrid (CN. KSC.500) in Karaj Region. J. Field Crops Research., 11(1), 13-22 [In Persian].
Nakhjavanimoghadam M. M., Dehghanisanij, H., Akbari, M., Sadreghaen, (2011). The Effects of Deficit Irrigation on Water Use Efficiency of New Early Maize Variety (CN. KSC.302) Using Sprinkler System. J. Water and Soil., 24(6), 1236-1245 [In Persian].
Raes D., Steduto, P., Hsiao, T.C. and Fereres, E. (2009). AquaCrop— the FAO crop model to simulate yield response to water II. Main algorithms and software description. J. Agronomy., 101, 438–447.
Stricevic R., Cosic, M., Djurovic, N., Pejic, B., and Maksimovic, L. (2011). Assessment of the FAO AquaCrop model in the simulation of rainfed and supplementally irrigated maize sugar beet and sunflower. J. Agricultural Water Management., 98, 1615-1621.
Todorovic M., Albrizio, R., Zivotic, L., Abi, S., Stockle, C. and Steduto, P. (2009). Asswssment of AQUACROP, cropsyst, and wofost models in the simulation of sunflower growth under different water regimes. J. Agronomy., 101, 509-521.
Xiong L., Schumaker, K. S., and Zhu, J. K. (2002). Cell signaling during cold, drought and salt stress. J. The plant Cell., 14, 165-183.