Evaluation of Hashtgerd area land for major crops production ability by FAO method

Document Type : Research Paper

Authors

1 Ph.D. Candidate, University College of Agriculture & Natural Resources, University of Tehran, Karaj, Iran

2 Professor in Crop Ecology, University College of Agriculture & Natural Resources, University of Tehran, Karaj, Iran

3 Professor in Agricultural Economics, University College of Agriculture & Natural Resources, University of Tehran, Karaj, Iran

Abstract

The first step in determining the optimal cropping pattern for crops and increase the yield in unit area is land use ability and production potential evaluation. Hashtgerd study area with an area of about 1170 square km because of the proximity to the metropolis of Tehran and focus a large number of agricultural, industrial and service units has an important economic and political position. According to importance of land capability studies at sustainable use of land and lack of sufficient information about potential Hashtgerd area for cultivation of crops, the purpose of this research is determination Hashtgerd area land capability and estimated four major crops yield by World Food Organization (FAO) method and the calculation of net income for per cubic meter of water used at per crops. The results showed area soil downstream for irrigated cropping has salinity and alkalinity restrictions. Production potential  for wheat, barley, forage maize and alfalfa  by FAO method at Hashtgerd area are in order as follows 12.3, 8.3, 75 and 26.8 ton/ha and given the small difference to field operation by favorite farmers it shows this method has High Performance in  crops yield estimate. In Hashtgerd area for per cubic meter of used water produce 1.25 kg wheat, 1.1kg barley, 6.6 kg forage maize and 1.2 kg alfalfa. Also check of NBPD index it shows the most valuable environmental resource (water in area) is waste.

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History

  • Receive Date: 16 September 2015
  • Revise Date: 04 April 2016
  • Accept Date: 09 April 2016
  • Publish Date: 22 May 2017

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