نوع مقاله : مقاله پژوهشی
نویسندگان
1 فارغ التحصیل از دانشگاه جرفت
2 هیئت علمی دانشگاه جیرفت
3 استادیار گروه زراعت و باغبانی دانشگاه جیرفت-هیات علمی
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Crop models are the major tools which help to understand how the interactions factors including soil, plant and atmosphere affecting plant growth. This study was conducted in order to evaluate WOFOST model for estimate maize (Zeo maize) yield production of summer cropping system of maize in tropical conditions in Jiroft region. Model input data base includes the Climate data (daily parameters of solar radiation, temperature and rainfall), plant data (time of germination, flowering and maturity, grain yield and dry matter) and soil data (physical and chemical properties). Plant variables of model includes of time of phenological stages, dry matter production, yield and biomass which collected from field experiment which performed in different planting dates and genotype. At the next step model was calibrated and evaluated with observed field data. The results showed RMSE, for grain yield, biomass and harvest index were respectively 9.06, 4.24 and 10.11. The model efficiency coefficient (E) for grain yield, biomass and harvest index was respectively 0.99, 0.87, and 0.82. So this results presented high precision of model simulation results. The results of WOFOST evaluation showed that the efficiency of model is good for maize summer cropping system under tropical climatic conditions of Jiroft region.
کلیدواژهها [English]
10. Hammer, G. L. & Muchow, R. C. (1994). Assessing climatic risk to sorghum production in water limited subtropical environments. I. Development and testing of a simulation model. Field Crops Research, 36, 221-234.
11. Hammer, G. L., Carberry, P. S. & Muchow, R. C. (1993). Modeling genotype and environmental control of leaf area dynamics in grain sorghum. I. Whole plant level. Field Crops Research, 33, 293-310.
12. Hayes, M. J. & Decker, W. L. (1996). Using NOAA AVHRR data to estimate maize production in the United States Corn Belt. International Journal of Remote Sensing, 17, 3189–3200.
13. Kalra, N., Chander, S., Pathak, H., Aggarwal, P. K., Gupta, N. C., Sehgal, M. & Chakarborty, D. (2008). Impact of climate change on agriculture. Outlook on Agriculture, 36, 109-118
14. Kassi, B. T., Van Ittersum, M. K., Hengsdijk, H., Asseng, S., Wolf, J. & Rötter, R. P. (2014). Climate-induced yield variability and yield gaps of maize (Zea mays L.) in the Central Rift Valley of Ethiopia. Field Crops Research, 160, 41–53.
15. Marletto, V., Ventura, F., Fontana, G. & Tomei, F. (2007).Wheat growth simulation and yield prediction with seasonal forecasts and numerical model. Agriculture and Forest Meteorology, 147(1), 71-79.
16. Monteith, J. L. (1981). Climatic variation and the growth of crops. Meteorological Science, 107 (546), 749–774.
17. Nassiri Mahalati, M., Koocheki, A., Kamali, G. A. & Shahandeh, H. (2006). Potential impact of climate change on rain fed wheat production in Iran. Agronomy and Soil Science, 52, 113-124.
18. Nasiri Mahallati, M. (2008). Modeling potential crop growth process. Mashhad University Press. 280pp (In Farsi).
19. Rinaldy M. L., Losavio, N. g, E. & Flagella, Z. (2003). Evaluation of OILCROP-SUN model for sunflower in southern Italy.Agricultural Systems. 78, 17-30.
20. Singh, A. K., Tripathy, R. & Chopra, U. K. (2008). Evaluation of CERES Wheat and Crop System models for water-nitrogen interactions in wheat crop. Agricultural Water Management, 95, 776-786.
21. Taei Semiromi, J., Ghanbari, A., Amiri, E., Ghaffari, A. A., Syahsar, B. & Ayoubi, Sh. (2013). Agro ecological zoning of wheat in the Borujen Watershed: Rianfed and irrigated wheat cropping System Evaluation. Journal of Sustainable agriculture and Production Science, 22 (4), 1-12. (In Farsi)
22. Van Keulen, H. & Wolf, J. (1986). Modelling of agricultural production: weather, soils and crops. Simulation Monographs. Wageningen. The Netherlands. 479pp.
23. Walpole, R. E., Myers, R. M. & Myers, S. L. (1998). Probability and Statistics for Engineers and Scientists. (6th ed) New Jersey: Prentice Hall International.823pp.
24. Willmott, C. J. (1982). Some comments on the evaluation of model performance. American Meteorology Society. 63: 1309-1313.
25. Wolf, J. & Van Diepen, C. A. (1994). Effects of climate change on silage maize production potential in the European Community. Agriculture and Forest Meteorology, 71 (1/2), 33-60.
26. Wolf, J., Mandryk, M., Kanellopoulos, A., Oort, P.V., Schaap, B., Reidsma, P. & Ittersum, M. V. (2010). Methodologies for analyzing future farming systems and climate change impacts in Flevoland as applied within the AgriAdapt project. Wageningen University and Research Centre, Wageningen. 108pp.
27. Wolfram, S. (1991). Mathematica: a system for doing mathematics by computer (2nd Ed.). Addison Wesley Longman Publishing Co., Redwood City, CA, USA. 961pp.
28. Wu, D., (2008). Impact of spatial- temporal variations of climatic variables on summer maize yield in North China Plain. European Journal of Agronomy, 24 (3), 226-235.
)
