Global Advanced Research Journal of Agricultural Science (GARJAS) ISSN: 2315-5094
May 2018 Vol. 7(5): pp. 151-162
Copyright © 2018 Global Advanced Research Journals


Full Length Research Paper

Evaluating of Production Functions for Simulation Rapeseed Yield in Deficit Irrigations with Monthly Intervals

Arash Tafteh1, Niazali Ebrahimipak2


1- Assistant professor of Department of irrigation and soil physics, Soil and Water Research Institute, Agricultural Research Education and Extension Organization (AREEO), Karaj, Iran.

*Corresponding Author's Email:

Accepted 20 May, 2018



With a rapid irrigation growth, the amount of irrigation water needed for food production is putting a burden on limited water resources in the developing countries. In order to optimize water consumption for crops in these regions, we must have appropriate production functions. This study was conducted in Esmaeil Abad region of Qazvin plain near Tehran with deficit irrigation at various growth stages of rapeseed crop for two years. Maximum of observed grain yield for a maximum evapotranspiration of 820 mm was 2750 kg/ha. Various production functions similar to, Doorenbos, Minimum, Average, Raes and Tafteh  were applied in order to calculate grain and oil yield response factor (Ky) for each month by first year data. After calibration, the acceptable production functions were validated by second year data. The  results showed that the  Tafteh et al. (2013) function with 10% NRMSE  for grain yield and 8% NRMSE for oil yield in monthly interval has lowest error. Therefore this method for estimating yield in deficit irrigation for rapeseed in Qazvin Plain  was recommended. The value of grain yield response factors for initial, plant development, middle and finally growth were respectively, equal to 0.35, 0.63, 0.75 ,0.52 and the value of grain yield response factors for initial, plant development, middle and finally growth were respectively, equal to 0.5, 0.8, 0.91 and 0.7. The results showed that oil yield response factors is more than grain yield response factors in each stage of rapeseed growth and the value of oil yield are much more sensitive to value of water especially in full pod formation stage. Therefore among applied treatments in this study, T9treatment without any tension in full pod formation stage is recommended.

Keywords: Production Function, Yield response factor (Ky), Deficit irrigation, Rapeseed.






Allen RG (1994). Memorandum on application of FAO-33 yield functions. Department of Biol. & Irrig. Eng., Utah State University, Logan, Utah, 3 pp.

Batchelor WD, Basso B, Paz JO (2002). Examples of strategies to analyze spatial and temporal yield variability using crop models. Euro. J. Agron. 18, 141–158.

Borg H, Grimes DW (1986). Depth development of roots with time: An empirical description. Trans of the ASAE. Vol. 29,pp: 194-197.

Debaeke p, Aboudrare A (2004). "Adaptation of crop management to water – limited environmental." Europ.J. Agron. Vol. 21, pp. 433-446.

Doorenbos J, Kassam AH (1979)."Yield response to Water." irrigation and drainage. paper No. 33, Food  and Agric. Org. Rome. Italy.

Ghobadi M, Bakhshandeh M, Fathi G, Gharineh MH, Alami-said K, Naderi A, Ghobadi ME (2006). Short and long periods of water stress during different growth stages of canola (Brassica napus L.): effect on yield, yield components, seed oil and protein contents. J. Agron. 5 (2), 336-341.

Jensen JW (1968). Water consumption by agricultural plants. In: Kozlowski, T. (Ed.), Water Deficit and Plant Growth, vol. 2 . Academic Press, New York, pp. 1–22.

Jensen ME (1973). Consumptive Use of Water and Irrigation Water Requirements. ASCE, p. 215.                                                 

Kipkorir EC (2002). Optimal planning of deficit irrigation for multiple crop systems according t o user specified strategy. Dissertationes de Agricultura No. 514. Fac. of Agr. Sciences. K.U.Leuven University, Belgium.

Mubeen M, Ahmad A, Wajid A, Khaliq T,  Bakhsh A (2013). Evaluating CSM-CERES-Maize model for irrigation scheduling in semi-arid conditions of Punjab, Pakistan. Int. J. Agric. Biol., 15: 1- 10.

Raes D (2004). Budjet: a soil water and salt balance model. Reference Manual. Version 6.0 ( and select downloads and next software. last updated June 2004).

Raes D, Geerts S, Kipkorir E, Wellens J, Sahli A (2006). Simulation of yield decline as a result of water stress with robust soil water balance model. Agric.Water. Manage. Vol. 81, pp: 335-357.

Rao NH, Sarma PBS, Chander S (1988). A simple dated water production function for use inirrigated agriculture. Agricultural Water Management, 13, 25–32.

Robertson MJ, Carberry PS, Chauhan YS, Ranganathan R, O’Leary GJ (2001). Predicting growth and development of pigeonpea: a simulation model. Field Crops Res. 71, 195–210.

Sepaskhah A, Tafteh A (2012). Yield and nitrogen leaching in rapeseed field under different nitrogen rates and water saving irrigation. Agric. Water. Manage. Vol.112, pp: 55-62.

Shabani A,  Sepaskhah AR, Kamgar-Haghighi AA (2013). Responses of agronomic components of rapeseed (Brassica napus L.) as influenced by deficit irrigation, water salinity and planting method. Int. J. Plant. Prod. 7 (2). 313-340.

Shirani-rad AH, Sharghi Y (2011). Effects of drought stress treatments on agronomic traits of rapeseed cultivars. Adv. Environ. Bio. 5(13): 3756-3760.

Smith M (2000). The application of climatic data for planning and management of sustainable rain fed and irrigated crop production. Agric. Forest. Meteorology. 103, 99–108.

Stewart J, Cuenca RH, Pruitt WO, Hagan RM Tosso J (1977). Determination and Utilization of water production functions for principal California Crops. In: W-67 California Contribution ProjectReport. Univercity of California, Davis





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