علایی بازکیایی، پ.، کامکار، ب.، امیری، ا.، کاظمی، ح. و رضایی، م. 1399. ارزیابی مدل ORYZA2000 در شبیهسازی عملکرد و بهرهوری تولید برنج تحت مدیریتهای زراعی. پژوهشهای حفاظت آب و خاک (علوم کشاورزی و منابع طبیعی). 27 (1): 69-49.
امیری، ا.، رضایی، م. و بنایان اول، م. 1390. ارزیابی مدل رشد گیاهی برنج ORYZA2000 در شرایط محدودیت آبیاری و کود نیتروژن (واسنجی و اعتباریابی). آب و خاک (علوم و صنایع کشاورزی). 25 (4): 757-769.
امیری لاریجانی، ب.، طهماسبی سروستانی، ز. و نعمتزاده، ق. 1392. شبیهسازی شاخص سطح برگ, زیستتوده و عملکرد دانه ارقام برنج در سنین مختلف گیاهچهای با استفاده از مدل ORYZA2000. مجله به زراعی نهال و بذر (نهال و بذر). 29-2(3): 302-283.
تقیزاده، م.، اصفهانی، م.، دواتگر، ن. و مدنی، ح. 1387. تأثیر دور آبیاری و مقادیر مختلف نیتروژن بر عملکرد و اجزای عملکرد برنج رقم طارم هاشمی در رشت. یافتههای نوین کشاورزی. 2(4): 364-353.
توکلی، ع. و موسوی، ف. 1385، اصول کاربردی کمآبیاری، انتشارات کمیته ملی آبیاری و زهکشی ایران، 294 صفحه.
سید جلیلی، س. 1400. بررسی تلفیق روشهای آبیاری کرتی و قطرهای در دو سطح کود نیتروژن بر بهرهوری آب، عملکرد و اجزای عملکرد برنج رقم هاشمی در منطقه رشت. پایاننامه کارشناسی ارشد، دانشکده علوم کشاورزی دانشگاه گیلان.
شبان، م.، هزارجریبی، ا.، اسدی، م.ا. و قربانی، خ. 1402. ارزیابی مدلهای ORYZA2000 و VSM در شبیهسازی عملکرد برنج تحت مدیریتهای آبیاری. پژوهش آب ایران. 17(1): 23-11.
شعاعی پرچین، ن.، بیگلوئی، م.، محسنآبادی، غ. و فرهنگی، م.ب. 1401. تأثیر تلفیق روشهای آبیاری غرقابی و قطرهای در سطوح مختلف کود نیتروژن و تعداد نشا بر عملکرد و بهرهوری آب برنج. مدیریت آب در کشاورزی. 9(1): 135-148.
مدیری، ا.، براری تاری، د.، امیری، ا.، نیک نژاد، ی. و فلاح آملی، ه. 1403. شبیهسازی سطح برگ، عملکرد و مقدار نیتروژن برنج در مدیریت مختلف مصرف نیتروژن با استفاده از مدل ORYZA2000، بهزراعی کشاورزی. 26 (2): 252-235.
مؤمنزاده، س.ف، قلیپوری، ع.، آلابراهیم، م. و امیری، ا. 1401. ارزیابی مدل ORYZA2000 برای پیشبینی تولید ارقام برنج تحت مدیریت آبیاری غرقاب و تنش خشکی. مجله آبیاری و زهکشی ایران. 16(1 ): 217-229.
Arora, V.K. 2006. Application of a rice growth and water balance model in an irrigated semi-arid subtropical environment, Agricultural Water Management. 83(1–2): 51-57.
Azarpour, E., Moraditochaee, M. and Bozorgi, H. R. 2014. Calibration and evaluation of the rice growth ORYZA 2000 model under nitrogen fertilizer Management in paddy fields of Iran. Bulletin of Environment, Pharmacology and Life Sciences. 3: 184-193.
Bouman, B.A.M. and Kropff, M.J. 2001 Tuong, T.P., Wopereis, M.C.S., ten Berge, H.F.M. and van Laar, H.H., 2001. ORYZA2000: Modeling Lowland Rice. Los Banos, Philippines.
Bouman, B.A.M. and Van Laar, H.H. 2006. Description and evaluation of the rice growth model ORYZA2000 under nitrogen-limited conditions. Agricultural Systems. 87(3): 249-273.
Cai, X. and Rosegrant, M.W., 2003. World water productivity: Current situation and future options. In Water Productivity in Agriculture: Limits and Opportunities for Improvement Kijne, J.W., Barker, R., Molden, D., (Eds.), CABI: Wallingford, UK; International Water Management Institute (IWMI): Colombo, Sri Lanka. 163–178.
Dai, J., Li, R., Li, C., Lu, Y. and Zou, C. 2021. Simulation of Effects of Different Water and Fertilizer Treatments on Maize Growth with AquaCrop in Hetao Irrigated Area. Journal of Soil and Water Conservation. 35(3): 312-319.
Dehghan Moroozeh, A., Bansouleh, B.F., Ghobadi, M. and Ahmadpour, A. 2023. Assessment of DSSAT and AquaCrop models to simulate soybean and maize yield under water stress conditions. Spanish Journal of Agricultural Research, 21(3): e1201.
Fatimah, K. 2018. Evaluation of Agricultural Subsidies and the Welfare of Farmers; Malaysia Agricultural Subsidies Report; IDEAS Policy Research Berhad: Kuala Lumpur, Malaysia. 1–64.
Feng, L., Bouman, B.A.M., Tuong, T.P., Cabangon, R. J., Li, Y., Lu, G. and Feng, Y. 2007. Exploring options to grow rice using less water in northern China using a modelling approach: I. Field experiments and model evaluation. Agricultural Water Management. 88(1-3): 1-13.
Hashemi, M., Zadeh, H. M., Arasteh, P. D. and Zarghami, M. 2019. Economic and environmental impacts of cropping pattern elements using systems dynamics. Civil Engineering Journal. 5(5): 1020-1032. doi:10.28991/CEJ-2019-03091308
Huai, H., Zhang, Q., Li, Z., Liang, L. and Tang, X., 2024.Analysis of Crop Irrigation Water Requirements and Water Scarcity Footprint in the Beijing–Tianjin–Hebei Region Based on the GeoSim–AquaCrop Model. Agronomy. 14(192): 1-12.
IRRI. 2008. Background Paper: The Rice Crisis: What Needs to Be Done? IRRI, Los Baños, Philippines, www.irri.org/12pp
Ishfaq, M., Farooq, M., Zulfiqar, U., Hussain, S., Akbar, N., Nawaz, A., and Anjum, S. A. 2020. Alternate wetting and drying: A water-saving and ecofriendly rice production system. Agricultural Water Management, 241: 106363.
Jin, L., Wei, D., and Yin, D. 2023. Research progress on greenhouse microclimate simulation and greenhouse crop growth modeling. J.Shanxi Agric. Univ. (Nat. Sci. Ed.). 43: 55–64.
Kawakita, S., Yamasaki, M., Teratani, R., Yabe, S., Kajiya-Kanegae, H., Yoshida, H., Fushimi, E. and Nakagawa, H. 2023. Dual ensemble approach to predict rice heading date by integrating multiple rice phenology models and machine learning-based genetic parameter regression models. Agricultural and Forest Meteorology. 334: 109821.
Li, T., Angeles, O., Marcaida III, M., Manalo, E., Manalili, M. P., Radanielson, A. and Mohanty, S. 2017. From ORYZA2000 to ORYZA (v3): An improved simulation model for rice in drought and nitrogen-deficient environments. Agricultural and forest meteorology. 237: 246-256.
Li, T., Humphreys, E., Gill, G. and Kukal, S. S. 2011. Evaluation and application of ORYZA2000 for irrigation scheduling of puddled transplanted rice in North West India. Field Crops Research. 122(2): 104-117.
Li, T., Raman, A.K., Marcaida III, M., Kumar, A., Angeles, O. and 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.
Mojid, M.A. and Mainuddin, M. 2021. Water-saving agricultural technologies: Regional hydrology outcomes and knowledge gaps in the eastern gangetic plains-a review. Water, 13(5): 636. 10.3390/w13050636
Nabipour, R., Yazdani, M.R., Mirzaei, F., Ebrahimian, H., and Mobaraki, F.A. 2024. Water productivity and yield characteristics of transplanted rice in puddled soil under drip tape irrigation. Agricultural Water Management. 295: 108753.
Najafi, S., Khaledian, M. and Rezaei, M. 2021. Evaluation of water productivity with three rice genotypes under different irrigation regimes and nitrogen fertilizer treatments in Rasht, northern Iran. Irrigation and Drainage. 70(4): 679-689.
Nisar, S. and Arora, V.K. 2018. Analyzing Dry-Seeded Rice Responses to Planting Time and Irrigation Regimes in a Subtropical Environment Using ORYZA2000 Model. Agricultural Research. 7(4): 424–431.
Pang, G. B., Li, Y., Xu, Z. H. and Gao, H. Z. 2014. Calibration and Evaluation of ORYZA2000 under Water and Nitrogen managements. Applied Mechanics and Materials. 641: 246-250.
Peng, J., Liu, T., Chen, J., Li, Z., Ling, Y., De Wulf, A. and De Maeyer, P. 2023. The conflicts of agricultural water supply and demand under climate change in a typical arid land watershed of Central Asia. Journal of Hydrology: Regional Studies. 47: 101384.
Piao, S., Ciais, P., Huang, Y., Shen, Z., Peng, S., Li, J. and Fang, J. 2010. The impacts of climate change on water resources and agriculture in China. Nature. 467(7311): 43-51.
Prathumchai, K., Nagai, M., Tripathi, N. K. and Sasaki, N. 2018. Forecasting transplanted rice yield at the farm scale using moderate-resolution satellite imagery and the AquaCrop model: a case study of a rice seed production community in Thailand. ISPRS International Journal of Geo-Information. 7(2): 73.
Rao, K. V. R., Gangwar, S., Keshri, R., Chourasia, L., Bajpai, A. and Soni, K. 2017. Effects of drip irrigation system for enhancing rice (Oryza sativa L.) yield under system of rice intensification management. Applied Ecology & Environmental Research. 15(4): 487-495.
Richards, M. and Sander, B. 2014. Alternate wetting and drying in irrigated rice. IRRI CCAFS and Info Notes. http://www.agritech.tnau.ac.in/agriculture/pdf/csa_pdf/Alternate_wetting_and_drying_in_irrigated_rice_InfoNote.pdf
Rinaldi, M., Losavio, N. and Flagella, Z. 2003. Evaluation and application of the OILCROP–SUN model for sunflower in southern Italy. Agricultural Systems. 78(1): 17-30.
Saadati, Z., Pirmoradian, N. and Rezaei, M. 2011. Calibration and validation of AquaCrop model in rice growth simulation under different irrigation managements. ICID 21st International Congress on Irrigation and Drainage, Tehran, Iran.
Sailaja, B., Voleti, S. R., Subrahmanyam, D., Nathawat, M. S. and Rao, N. H. 2013. Validation of Oryza2000 model under combined nitrogen and water limited situations. Indian Journal of Plant Physiology. 18: 31-40.
Sandhu, R. and 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.
Shadpour-Rashti, M., Khaledian, M., Biglouei, M. and Rezaei, M. 2017. Using the PILOTE Model to Improve Water Productivity for Rice in Rasht, North of Iran. International Journal of Agricultural Management and Development (IJAMAD). 7(4): 477-487.
Soman, P., Singh, S., Bhardwaj, A. K., Pandiaraj, T. and Bhardwaj, R. K. 2018. On-farm drip irrigation in rice for higher productivity and profitability in Haryana, India. International Journal of Current Microbiology and Applied Sciences. 7(02): 506-512.
Soundharajan, B. and Sudheer, K. P. 2013. Sensitivity analysis and auto-calibration of ORYZA2000 using simulation-optimization framework. Paddy and Water Environment. 11: 59-71.
Xue, C., Yang, X., Bouman, B. A., Deng, W., Zhang, Q., Yan, W. and Wang, H. 2008. Optimizing yield, water requirements, and water productivity of aerobic rice for the North China Plain. Irrigation Science. 26: 459-474.
Yadav, S., Li, T., Humphreys, E., Li, T., Gill, G. and Kukal S.S. 2012. Evaluation of tradeoffs in land and water productivity of dry seeded rice as affected by irrigation schedule. Field Crops Research. 128: 180-190.
Yu, Q. and Cui, Y. 2022. Improvement and testing of ORYZA model water balance modules for alternate wetting and drying irrigation. Agricultural Water Management. 271: 107802
Yuana. S., Penga. S. and Lib. T. 2017. Evaluation and application of the ORYZA rice model under different crop managements with high-yielding rice cultivars in central China. Field Crops Research. 212(1): 115-125.
Zhou, D., Wang, H., Wang, X., Wang, F., Zhang, J. and Ma, D. 2024. Evaluation of AquaCrop’s ability to simulate water stress based on 2-year case study of maize crop. Agronomy. 14(2): 354.
