Journal of Applied and Natural Science 7 (1): 404–409 (2015)
Evaluation of CSM-CERES-wheat in simulating wheat yield and its attributes with different sowing environments in Tarai region of Uttarakhand
R. K. Pal1*, K. S. Rawat2, J. Singh3 and N. S. Murty4
1*Punjab Agricultural University, Regional Research Station, Bathinda-151 001, INDIA
2Centre for Remote Sensing and Geo-Informatics, Sathyabama University, Chennai-600119, INDIA
3Department of Agricultural Physics, Indian Agriculture. Research Institute, New Delhi-110 016, INDIA
4Department of Agrometeorology, G.B. Pant Uni. of Agri. & Technol., Pantnagar-263 145, INDIA
*Corresponding author. E-mail firstname.lastname@example.org
Abstract : Crop Environment Resource Synthesis (CSM-CERES)-Wheat model was used to simulate responses
of two wheat varieties with various sowing environments. In this context, during the year 2007-08 and 2008-09, experiments
on three sowing dates viz. November 20, December 15, and January 9 and two varieties (PBW-343 and WH-542) with three replications
were conducted at the Norman E. Borlaug Crop Research Centre of G.B. Pant University of Agriculture & Technology, Pantnagar
(29°N, 79.29°E with 243.80 m above msl). Soil, plant, management and climatic data were collected from the experimental field.
The data of 2007-08 and 2008-09 were used for model calibration and validation, respectively. Results revealed that the for model
outputs were in good agreement with their corresponding observed values with 20th November sown crop than other sowings of crop in
terms of phenological events, biomass accumulation and grain yields. However, variety PBW-343 showed close proximity between simulated
and observed outcomes with all sowing dates. The percent root mean square error (% RMSE) values ranged from 5.9 – 15.6%, 2.2 – 7.6% for
days to attain anthesis and physiological maturity, respectively. Moreover, %RMSE and t-value ranged from 5.7 – 12.2% (t= -4.5 to 1.8),
1.6 – 3.3% (t= -4.1 to 4.5) and 1.9 – 5.8% (t= -3.7 to 1.5) for product weight, vegetative weight and product harvest index, respectively.
Inspite of that, model fails to simulate maximum leaf area index having % RMSE from 53.2 – 62.9%. These results indicate that CERES-Wheat
model can be used as a tool to support decision-making for wheat production in Tarai region of Uttarakhand.
Keywords :CERES-Wheat, Sowing dates, Wheat varieties