Simulation of Wheat Yield under Different Irrigation Management by CropSyst in ZARAGHAN, FARS Province

Document Type : Original Article

Authors

Assistant Professor ,Department of Water Engineering, Faculty of Agriculture, Arak University

Abstract

 
 
Abstract
Water is a limited and also essential source for the human societies and ecological systems which depend on it. This valuable source is decreasing rapidly because of population growth and economic development in many countries and regions of the world. In such situation, it is needed to increase water productivity. Plant models are used for optimization of management operations in variable environment. The model acts as an analyst tool on the fertility of the product and the environment. Crop growth model CropSyst is a comprehensive sample of a simulated model which is used in many region of the world so far. Due to the need reduction of visits and direct measurements in field, crop growth models can become effective in optimisation of water irrigation management and fertilization. This study is performed in the form of split plot plan based on RCB with two main factors, cultivar with 3 levels and irrigation regimes with 4 levels and 3 repetitions. Cultivars are commercial cultivars named Falat, Shiraz and Chamran. Irrigation regimes were set based on the distance to the lateral pipe. In this study 3 meter distances are considered for Irrigation regimes. Accordingly, moisture regimes were 5, 8, 11, 14 meter distances from lateral pipe. The experiment was done in the crop years 2013, 2014 and 2015. The data of the year 2013 and 2014 was used for calibration and 2015 for the validation of the model. nRMSE and Crm for the grain performance in calibration years was obtained 9.3 and 0.06 percent respectively and for the validation year 9.7 and 0.11 percent respectively. According to nRMSE statistic for simulation of grain performance, Crop growth model CropSyst works in the best performance

Keywords

References

دهقانیان و همکاران.1393. ارزیابی بازدهی مصرف آب بعنوان معیارهای انتخاب در تولید ارقام متحمل به خشکی گندم. طرح تحقیقاتی در استان فارس.
دستمالچی، ع. سلطانی، ا. لطیفی ن. و زینلی، ا. 1390. برآورد پارامترها و ارزیابی مدل CropSyst-Wheat برای ارقام استان گلستان. مجله الکترونیک تولید گیاهان زراعی. (2)4. ص80-63.
هنر، ت. ثابت سروستانی، ع. کامگار حقیقی، ع. و شمس، ش. 1390. واسنجی مدل گیاهی CropSyst جهت تخمین عملکرد و شبیه­سازی رشد گیاه کلزا. نشریه آب و خاک (علوم و صنایع کشاورزی). دانشگاه فردوسی مشهد. (3)25. ص 605-593.
Abraha, M.G., and Savage M.J. 2007. The soil water balance of rainfed and irrigated oats, Italian rye grass and rye using the CropSystmodel.Irrigation Science, 26:203-212.
Bannayan, M., Hoogenboom G. 2006. Using pattern recognition for estimating cultivar coefficients of a crop simulation model.Field Crops Research, 111:290–302.
  Bonfante, A., A. Basile, M. Acutis, R. De. Mascellis, P. Manna, A. Perego and F. Terrible. 2010. SWAP, CropSyst and MACRO comparison in two contrasting soils cropped with maize in northern italy. Agricultural Water Management  97: 1051-1062.
Confalonieri, R., Bellocchi G., BregaglioS., Donatelli M., and Acutis M. 2010. Comparison of sensitivity analysis techniques: A case study with the rice model WARM. Ecological Modelling, 221:1897-1906.
Jamieson, P.D., Porter J.R., and Wilson D.R. 1991. A test of the computer simulation model ARC-WHEAT1 on wheat crops grown in New Zealand. Field Crops Research, 27:337–350.
Kato, Y., Kamoshita A., Yamagishi J., and Abe J. 2006. Growth of three rice (Oryza sativa L.) cultivars under upland conditions with different levels of water supply. I. Nitrogen content and dry matter production. Plant Production Science. 9 (4):422-434.
Khaledian, M.R., J.C. Mailhol, P. Ruelle and P. Rosique. 2009. Adapting PILOTE model for water and yield management under direct seeding system: The case of corn and durum wheat in a Mediterranean context. Agricultural Water Management 96: 757–770.
Loomis, R.S., and Ng, N. 1984. Simulation of Growth and Yield for the Potato Crop. Simulation Monographs. Pudoc (Centre for Agricultural Publishing and Documentation), Wageningen, 147 pp
Stockle, C.O., Donatelli M., and Nelson R. 2003. CropSyst, A cropping system simulation model. European Journal of Agronomy, 18(3-4):289-307.Stockle, C.O., Martin S., and Campbell G.S. 2014. CropSyst, a cropping systems simulation model: water/nitrogen budgets and crop yield. Agricultural Systems. 46:335-339.Ventrella, D., and Rinalda M. 1999. Comparison between two simulation models to evaluate cropping systems in Southern Italy: yield response and soil water dynamics. AgricolturalMediterranea, 129:99-110.
Irrigation and Water Engineering
Volume 8, Issue 1 - Serial Number 29
October 2017
Pages 165-175

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