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Journal of Pharmacognosy and Phytochemistry

Journal of Pharmacognosy and Phytochemistry

Vol. 7, Issue 5 (2018)

Simulation of wheat (Triticum aestivum L.) yield using WOFOST model under different management levels

Author(s):

Vivesh Singh, SR Mishra, AK Singh, Rajan Chaudhari, Nitish Kumar and AN Mishra

Abstract:
A field experiment was conducted at Agrometeorology Research Farm, Narendra Deva University of Agriculture & Technology, Narendra Nagar (Kumarganj), Faizabad (U.P.) during Rabi season 2012 and 2013 to study the “Simulation of wheat (Triticum aestivum L.) Yield using WOFOST model under different management levels”. The experiment consisted of 12 treatment combinations in tested Split plot design with three replications. Experiment consisted of three irrigations at different stage i.e. First Irrigations (CRI+ Tillering+ Ear Head Emergence +Milking, Second irrigation (CRI+ Ear Head Emergence + Milking) and Third irrigation (CRI+ Milking) and two date of sowing i.e. first is normal sowing (15 November) and second is delayed sowing (15 December) and two fertilizer doses higher dose (150:75:75 NPK kg ha-1) and optimum dose (120:60:60 NPK kg ha-1). Sensitivity of WOFOST model simulated grain yield to incremental units of maximum air temperature showed a gradual decrease in yield while, the down scaled maximum temperature increased the yield. The wheat yield increased due to decreased temperature ranged 5.7 to 25.4. While the reduction of yield due to increase of temperature from -8.8 to 26.3.Every 10C decrease in the minimum temperature increased the grain yield of wheat was 5.6, 12.1, 19.4, 23.9 and 26.8 respectively while increase in temperature from 10C to 50C wheat yield decrease from -11.0 to 37.9 percent.

Pages: 1425-1428  |  942 Views  242 Downloads


Journal of Pharmacognosy and Phytochemistry Journal of Pharmacognosy and Phytochemistry
How to cite this article:
Vivesh Singh, SR Mishra, AK Singh, Rajan Chaudhari, Nitish Kumar and AN Mishra. Simulation of wheat (Triticum aestivum L.) yield using WOFOST model under different management levels. J Pharmacogn Phytochem 2018;7(5):1425-1428.

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