Research Article Open Access

Simulation of Soybean Growth under Sowing Date Management by CROPGRO Model

Farzad Paknejad1, Pouria Farahani Pad2, Mohammad Nabi Ilkaee1 and Faezeh Fazeli3
  • 1 Department of Agronomy and Agriculture Research Center, Karaj Branch, Islamic Azad University, Karaj, Iran
  • 2 Young Researcher Club Roudehen Branch, Islamic Azad University, Roudehen, Iran
  • 3 Department of Environment, Faculty of Civil Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran


Problem statement: Always because of weather change, determine of optimum sowing date in each zone is difficult. Dynamic models can help us for solving this problem. In order to evaluation of soybean simulation by using of CROPGRO-Soybean model at four sowing date in field research of Azad university of Karaj branch a field experiment conducted in form of split plot in based on randomize complete block design with four replication in 2009s. Approach: At this experiment simulation of some traits such Leaf Area Index (LAI), Leaf Dry Weight (LDW), Stem Dry Weight (SDW) and Biomass (B) evaluated for cv. Williams using of CROPGRO-Soybean. According to results, model was successful in the traits simulation, because of high Wilmot coefficient produced (0.6), 20 days after planting to the end of the growth duration. Results: Model explained well stem dry weight, as correlation coefficient in each sowing date was significant (p<0.01). Simulation precision for biomass was suitable, as coefficient differentiation was significant (p<0.01) for first to fourth sowing date (S1-S4) 0.889, 0.986, 0.909 and 0. 796, respectively. These statistic parameters designated high ability of model for simulation of some traits measured in soybean for four sowing date management. Conclusion: We can use by model for sowing date management of soybean in Karaj climate condition, of course after repetitions of experiment and doing of model calibration. We proposed that soil and weather data measured in each place of experience and also plant morphology parameter measured precisely because this help to us for obtaining of objects.

American Journal of Agricultural and Biological Sciences
Volume 7 No. 2, 2012, 143-149


Submitted On: 26 October 2011 Published On: 14 March 2012

How to Cite: Paknejad, F., Pad, P. F., Ilkaee, M. N. & Fazeli, F. (2012). Simulation of Soybean Growth under Sowing Date Management by CROPGRO Model. American Journal of Agricultural and Biological Sciences, 7(2), 143-149.

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  • CROPGRO-Soybean
  • simulation
  • LAI
  • leaf
  • stem and total dry weight
  • soybean
  • sowing date