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: nebrahimipak@yahoo.com

Accepted 20 May, 2018

Abstract

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 (K_y) 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 (K_y), Deficit irrigation, Rapeseed.

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