Iranian Journal of Field Crop Science

Iranian Journal of Field Crop Science

Optimum sowing date determination based on historical climate data using AquaCrop growth simulator model in Moghan plain Ardabil province Iran

Document Type : Research Paper

Authors
Amir Izadfard 1
Mohammad Reza Jahansouz 2
Fereydoon Sarmadian 3
Gholam Reza Peykani 4
Mohammad Reza Chaichi 2
1 Ph.D. Student in Crop Ecology, Department of Field Crop Science, University College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
2 Professor, Department of Field Crop Science, University College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
3 Professor, Department of Soil Science, University College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
4 Associate Professor, Faculty of Economics & Agricultural Development, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
10.22059/ijfcs.2017.219241.654211
Abstract
The AquaCrop model has been used for optimum sowing date determination for maximum yield production based on historical climate data in Moghan plain, Ardabil province, Iran. Based on phonological data for the eight main cultivated crop gathering from Moghan plain and thirty years climate data, the optimum sowing dates were determined after model calibration. The model used cumulative growing degree days, effective and active base temperature and calculated harvest index to perform each crop yield. Determination coefficient, normalized root mean squared and index of agreement were 0.99, 29.16 and 0.97 respectively. The statistics showed that the model could accurately perform the crop yield estimation in this region. Based on the results the simulated sowing window for winter wheat was a little bit shorter. The winter barley also performed as winter wheat. The spring maize simulated sowing window was longer than usual period. But the simulated sowing window for winter canola, cotton, soybean and maize was the same as actual sowing window. The net Irrigation requirement in the determined planting dates have been calculated by the AquaCrop and compared with the NETWAT software outputs. In this Comparison, determination coefficient, normalized root mean squared and index of agreement were 0.92, 14.07 and 0.99 respectively. The results showed the importance of using winter precipitation in crop production in the region and lower water irrigating input using winter cultivation should be noted.
Keywords
Cumulative growing degree day
Sowing window
Water Productivity
Subjects
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Iranian Journal of Field Crop Science
Volume 48, Issue 3 - Serial Number 3
Autumn 2017
Pages 799-810

  • Receive Date 01 November 2016
  • Revise Date 18 December 2016
  • Accept Date 21 December 2016
  • Publish Date 22 November 2017