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ارزیابی مدل های گیاهی ORYZA2000، SWAP وWOFOST در مدیریت های مختلف آبیاری | ||
| تحقیقات مهندسی صنایع غذایی | ||
| مقاله 2، دوره 10، شماره 3، آذر 1388، صفحه 13-28 اصل مقاله (394.23 K) | ||
| نوع مقاله: مقاله پژوهشی | ||
| نویسندگان | ||
| ابراهیم امیری* 1؛ مسعود کاوسی2؛ فریدون کاوه3 | ||
| 1استادیار دانشگاه آزاد اسلامی واحد لاهیجان | ||
| 2استادیار پژوهش مؤسسه تحقیقات برنج کشور | ||
| 3دانشیار دانشگاه آزاد اسلامی واحد علوم تحقیقات تهران | ||
| چکیده | ||
| مدلهای ORYZA2000، SWAP، و WOFOST رشد و توسعة برنج را در شرایط تولید پتانسیل و کمبود آب شبیهسازی می‌کنند. برای ارزیابی مدلها، تحقیقی در مزرعة تحقیقاتی مؤسسه تحقیقات برنج کشور، در قالب طرح بلوک کامل تصادفی با 6 مدیریت آبیاری به عنوان تیمار، در سه تکرار طی سال زراعی 84 روی رقم هاشمی اجرا شد. مدیریتهای آبیاری شامل غرقاب دایم، آبیاری پس از 1، 3، و 5 روز محو شدن آب از سطح زمین و آبیاری با دورهای 5 و 8 روز بود. مقادیر شبیهسازی و اندازهگیری شده بیوماس کل، بیوماس پانیکول، شاخص سطح برگ، و عملکرد نهایی با استفاده از پارامترهای ضریب تبیین، جذر میانگین مجذور خطا و جذر میانگین مجذور خطای نرمال شده ارزیابی شد. به طور میانگین، مقدار جذر میانگین مجذور خطای بیوماس کل سه مدل ORYZA2000، SWAP و WOFOSTبه‌ترتیب 653، 458 و 589 و بیوماس پانیکول 375، 284 و 335 کیلوگرم بر هکتار و شاخص سطح برگ 41/0، 53/0 و 50/0 محاسبه شد. در بررسی شبیهسازی مقدار عملکرد نهایی با این سه مدل مشخص شد که مدل ORYZA2000 نسبت به دو مدل دیگر دقت بیشتری دارد. | ||
| عنوان مقاله [English] | ||
| Evaluation of Crop Growth Models ORYZA2000, SWAP and WOFOST under Different Types of Irrigation Management | ||
| چکیده [English] | ||
| The models ORYZA2000, SWAP and WOFOST simulate the growth and development of rice under conditions of potential production and water limitation. The models were evaluated against a data set of field experiments. The study was laid out in RCBD with three replications for one traditional landrace, Hashemi, carried out in 2005 at the Rice Research Institute of Iran in Rasht. The irrigation managements were: I1 (continuous irrigation); I2, I3, and I4 (irrigation at 1, 3 and 5 days, respectively, after disappearance of ponded water) and I5 and I6 (irrigation at 5 and 8 day intervals, respectively). In this paper, simulated and measured leaf area index (LAI), biomass panicles, total aboveground biomass and yield by adjusted coefficient of correlation (R2), and absolute and normalized root mean square errors (RMSE) were compared. On average, RMSE total aboveground biomass was 653 kg/ha for ORYZA2000, 458 kg/ha for WOFOST and 589 kg/ha for SWAP. RMSE biomass panicles biomass was 375 kg/ha for ORYZA2000, 284 kg/ha for WOFOST and 335 kg/ha for SWAP. RMSE LAI was 0.41(-) for ORYZA2000, 0.53(-) for WOFOST and 0.5(-) for SWAP. ORYZA2000, in contrast to WOFOST and SWAP, simulated the yield of rice well. | ||
| کلیدواژه‌ها [English] | ||
| biomass, Evaluation, model, rice, simulation | ||
| مراجع | ||
|
Anon. 1985. CWFS. Potential food production increases from fertilizer aid: a case study of Burkina Faso. Ghana and Kenya. Wageningen.
Belder, P., Bouman, B. A. M., Spiertz, J. H. J. 2007. Exploring options for water savings in lowland rice using a modeling approach. Agric. Sys. 92, 91-114.
Boling, A., Bouman, B. A. M. Tuong, T. P., Murty, M. V. R. and Jatmiko, S. Y. 2007. Increasing rainfed rice productivity in Central Java, Indonesia: a modeling approach using ORYZA2000. Agric. Sys. 92, 115-139.
Boogaard, H. L., Diepen, C. A. van Rötter, R. P., Cabrera, J. M. C. A. and van Laar, H. H. 1998. User’s guide for the WOFOST 7.1 crop growth simulation model and WOFOST control center 1.5. Technical Document 52. DLO Winand Staring Centre. Wageningen. Netherlands.
Boogaard, H. L., Diepen, C. A., van Eerens, H., Kempeneers, P., Piccard, I., Verheijen, Y. and Supit, I. 2002. Description of the MARS Crop Yield Forecasting System (MCYFS). METAMP (Methodology Assessment of MARS Predictions) Report 1/3, Alterra. Vlaamse Instelling voor Technologisch Onderzoek (VITO). Supit Consultancy. Wageningen. Mol. Houten.
Bouman, B. A. M. and van Laar, H. H. 2006. Description and evaluation of the rice growth model ORYZA2000 under nitrogen-limited conditions. Agric. Sys. 87, 249-273.
Bouman, B. A. M., van Keulen, H., van Laar, H. H. and Rabbinge, R. 1996. The ‘School of de Wit’ crop growth simulation models: pedigree and historical overview. Agric. Sys. 52, 171-198.
Bouman, B. A. M., Krop, M. J., Tuong, T. P., Wopereis, M. C. S., Ten Berge, H. F. M. and van Laar, H. H. 2001. ORYZA2000: Modelling Lowland Rice. International Rice Research Institute, Wageningen University and Research Centre. Los Ban os. Philippines. Wageningen. The Netherlands.
Brooks, R. H. and Corey, A. T. 1964. Hydraulic properties of porous media. Colorado State Univ., Hydrology Paper No. 3.
De Wit, C. T. 1965. Photosynthesis of Leaf Canopies. Agricultural Research Report No. 663. Pudoc.Wageningen. The Netherlands.
De Wit, C. T., Brouwer, R. and Penning de Vries, F. W. T. 1970. The simulation of photosynthetic systems. In: Setlik, I. (Ed.) Prediction and Measurement of Photosynthetic Productivity. Proceedings IBP/PP Technical Meeting Trebon 1969. Pudoc. Wageningen. The Netherlands.
De Wit, C. T., Goudriaan, J., van Laar, H. H., Penning de Vries, F. W. T., Rabbinge, R., van Keulen, H., Louwerse, W., Sibma, L. and De Jonge, C. 1978. Simulation of Assimilation, Respiration and Translocation of Crops. Simulation Monographs. Pudoc. Wageningen. The Netherlands.
Doherty, 2005. PEST: Software for Model-Independent Parameter Estimation. Watermark Numerical Computing, Australia.
Doorenbos, J. and Kassam, A. H. 1979. Yield response to water. Irrigation and Drainage Paper No. 33. FAO. Rome. Italy.
Drenth, H., ten Berge F. F. M. and Riethoven, J. J. M. 1994. ORYZA simulation modules for potential and nitrogen limited rice production. SARP Research Proceedings. Wageningen. The Netherlands.
Driessen, P. M. 1986. The water balance of the soil. In: van Keulen, H. and Wolf, J. (Eds.) Modelling of agricultural production: weather, soils and crop. Simulation Monographs. Pudoc. Wageningen. The Netherlands.
Feddes, R. A., Kowalik, P. J. and Zaradny, H. 1978. Simulation of field water use and crop yield. Simulation Monographs. Pudoc. Wageningen.
Huygen, J. (Ed.). 1990. Simulation studies on the limitations to maize production in Zambia. Report No. 27. DLO Winand Staring Centre. Wageningen.
Khani Ghariegapi, M. Davari, K., Alizadeh, A., Hasheminia, S. and Zolfagharian, A. 2007. SWAP model assessment for simulating suger beet yield under different irrigation water quantities and Qualities. Iranian J. Irrig. Drain. 2, 107-117.
Kropff, M. J., van Laar, H. H. and Matthews R. B. (Eds.). 1994. ORYZA1: an ecophysiological model for irrigated rice production. SARP Research Proceedings. Wageningen. The Netherlands.
Mualem, Y. 1976. A new model for predicting the hydraulic conductivity of unsaturated porous media. Water Resour. Res. 12, 513-522.
Neut, D., van der Dam, J. C. van. and Feddes, R. A. 1995. Effects of higher surface water levels in ‘De Hoeksche Waard’. An evaluation of yield reductions of potatoes and sugar beets at 4 drainage depths during 42 years. Report No. 48. Subdep. Water Resour. Wageningen University Pub.
Rabbinge, R. and van Latesteijn, H. C. 1992. Long-term options for land use in the European Community. Agric. Sys. 40, 195-210.
Roetter, R., Hoanh, C. T. and Teng, P. S. 1998. A systems approach to analyzing land use options for sustainable rural development in South and Southeast Asia. IRRI Discussion Paper Series 28. International Rice Research Institute. Los Banos. Philippines.
Singh, R. 2005. Water productivity analysis from field to regional Scale- Integration of crop and soil modeling, remote sensing and geographical information. Ph.D. Thesis. Wageningen University Pub.
van Dam, J. C. 2000. Field-scale water flow and solute transport. SWAP model concepts. Parameter estimation, and case studies. PhD Thesis. Wageningen University. Wageningen. The Netherlands.
van Dam, J. C. and Malik, R. S. (Eds.). 2003. Water productivity of irrigated crops in Sirsa district, India. Integration of remote sensing, crop and soil models and geographical information systems. WATPRO Final Report.
van Dam, J. C., Huygen, J., Wesseling, J. G., Feddes, R. A., Kabat, P., van Walsum, P. E. V., Groenendijk, P. and van Diepen, C. A. 1997. Theory of SWAP version 2.0. Simulation of water Flow, solute transport and plant growth in the Soil-Water-Atmosphere-Plant Environment. Technical Document 45. DLO Winand Staring Centre. Wageningen.
van Genuchten, M. T. 1980. A closed form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Sci. Soc. Am. J. 44, 892-898.
van Genuchten, M. T., Leij, F. J. and Yates, S. R. 1991. The RETC code for quantifying the hydraulic functions for unsaturated soils. U.S. Salinity Laboratory. Riverside. California.
Wopereis, M. C. S. Bouman, B. A. M., Tuong, T. P., ten Berge, H. F. M. and Kropff, M. J. 1996. ORYZA_W: rice growth model for irrigated and rainfed environments. SARP Research Proceedings. Wageningen. The Netherlands.
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