ابراهیمیراد، حسن؛ بابازاده، حسین، امیری، ابراهیم و صدقی، حسین (1398) ارزیابی بیلان و بهرهوری آب برنج تحت مدیریتهای آبیاری و تراکم کاشت با استفاده از مدلهای Ceres-Rice و ORYZA2000. نشریه آبیاری و زهکشی ایران. 13(1)، 165-176.
Agricultural Ministry. (2022). Report of Agricultural Ministry. Iran Data Portal. https://irandataportal.syr.edu/ministry-of-agriculture.
Amiri, E., Rezaei, M., Rezaei, E. E., & Bannayan, M. (2014). Evaluation of Ceres-Rice, Aquacrop and Oryza2000 models in simulation of rice yield response to different irrigation and nitrogen management strategies. Journal of Plant Nutrition, 37(11), 1749-1769.
Artacho, P., Meza, F., & Alcalde, J. A. (2011). Evaluation of the Oryza2000 rice growth model under nitrogen-limited conditions in an irrigated Mediterranean environment. Chilean Journal of Agricultural Research, 71(1), 23.
Azarpour, E., Moraditochaee, M., & Bozorgi, H. R. (2014). Assessment examine of the modeling ability of ORYZA2000 for rice cultivars in Guilan province (Iran). Journal of Biodiversfity and Environmental Sciences, 4(2), 195-204.
Boling, A. A., Bouman, B. A. M., Tuong, T. P., Murty, M. V. R., & Jatmiko, S. Y. (2007). Modelling the effect of groundwater depth on yield-increasing interventions in rainfed lowland rice in Central Java, Indonesia. Agricultural Systems, 92(1-3), 115-139.
Bouman, B. A. M., & Van Laar, H. H. (2006). Description and evaluation of the rice growth model ORYZA2000 under nitrogen-limited conditions. Agricultural Systems, 87(3), 249-273.
Bouman, B. A. M., Kropff, M. J., Tuong, T. P., Wopereis, M. C. S., ten Berge, H. F. M., & Van Laar, H. H. (2001). ORYZA2000: Modeling Lowland Rice. Los Banos: International Rice Research Institute.
Cao, B., Hua, S., Ma, Y., Li, B., & Sun, C. (2017). Evaluation of ORYZA2000 for simulating rice growth of different genotypes at two latitudes. Agronomy Journal, 109(6), 2613-2629.
Ebrahimirad, H., Babazadeh, H., Amiri, E., & Sedghi, H. (2019). Evaluation of water balance and water productivity in rice under water-management and different plant density with use Ceres-Rice and ORYZA2000 models. Iranian Journal of Irrigation & Drainage, 13(1), 165-176. (In Persian).
Galeriu, D., & Melintescu, A. (2014). Carbon-14 dynamics in rice: an extension of the ORYZA2000 model. Radiation and Environmental Biophysics, 53(1), 187-202.
Gutaker, R. M., Groen, S. C., Bellis, E. S., Choi, J. Y., Pires, I. S., Bocinsky, R. K., Slaton, R. A., Wilkins, O., Castillo, C. C., Negrao, S., Oliveira, M. M., Fuller, D. Q., Gueds, J. A., Lasky, J. R & Purugganan, M. D. (2020). Genomic history and ecology of the geographic spread of rice. Nature Plants, 6(5), 492-502.
Iqbal, M., Alom, M. A. M. S. F., & Rana, M. M. (2014). Response of modern and hybrid rice varieties to different levels of nitrogen under rice–rice cropping pattern. Eco-friendly Agriculture Journal, 7(10), 105-109.
Larijani, B. A., Sarvestani, Z. T., Nematzadeh, G. H., Manschadi, A. M., & Amiri, E. (2011). Simulating phenology, growth and yield of transplanted rice at different seedling ages in northern Iran using ORYZA2000. Rice Science, 18(4), 321-334.
Li, T., Raman, A. K., Marcaida III, M., Kumar, A., Angeles, O., & Radanielson, A. M. (2013). Simulation of genotype performances across a larger number of environments for rice breeding using ORYZA2000. Field Crops Research, 149, 312-321.
Limoudehi, M. E., Amiri, E., Rezaei, M., & Hoseini, A. (2014). Rice growth and yield simulation under irrigation and N fertilizer regimes by ORYZA2000 model. Agrochimica Research, 58(1s), 30-40.
Majumder, D., & Das, L. (2018). Simulating the yield attributes of Boro rice under nitrogen and irrigation management at Mohanpur, West Bengal using ORYZA2000. Journal of Agrometeorology, 20(1), 72-74.
Sailaja, B., Voleti, S. R., Subrahmanyam, D., Nathawat, M. S., & Rao, N. H. (2013). Validation of Oryza2000 model under combined nitrogen and water limited situations. Indian Journal of Plant Physiology, 18(1), 31-40.
Soundharajan, B., & Sudheer, K. P. (2013). Sensitivity analysis and auto-calibration of ORYZA2000 using simulation-optimization framework. Paddy and Water Environment, 11(1), 59-71.
Tari, D. B., Amiri, E., & Daneshian, J. (2017). Simulating the impact of nitrogen management on rice yield and nitrogen uptake in irrigated lowland by ORYZA2000 Model. Communications in Soil Science and Plant Analysis, 48(2), 201-213.
Tayefe, M. (2013). Calibration and evaluation of ORYZA2000 model under different N options in irrigated rice in Iran. Journal of Biodivers Environment Science, 3, 77-82.
Tayefe, M., Amiri, E., Nasrollahzade, A., & Hashemi, S. A. (2013). Testing the modeling capability of ORYZA2000 under nitrogen limit conditions in Northern Iran. International Journal of Biosciences (IJB), 3(11), 1-7.
Wikarmpapraharn, C., & Kositsakulchai, E. (2010). Evaluation of ORYZA2000 and CERES-Rice models under potential growth condition in the Central Plain of Thailand. Thai Journal of Agricultural Science, 43(1), 17-29.
Zhang, J., Feng, L., Zou, H., & Li Liu, D. (2015). Using ORYZA2000 to model cold rice yield response to climate change in the Heilongjiang province, China. The Crop Journal, 3(4), 317-327.
Zhao, L., Meng, B., & Feng, X. (2020). Mercury methylation in rice paddy and accumulation in rice plant: A review. Ecotoxicology and Environmental Safety, 195, 110462.