Open Access
Subscription or Fee Access
CERES-Wheat Crop Simulation Model Application for Nitrogen Management of Wheat Varieties under Environmental Conditions of Sargodha
Abstract
Abstract
CERES-Wheat model was calibrated and evaluated by using the observed data from a trail conducted during the year 2018-19, at experimental area of Agriculture College Sargodha, Pakistan to simulate different nitrogen levels effects on three wheat cultivars. Wheat varieties (AARI-2011, AAS-2011 and FSD-2008) were sown in main plots, while, nitrogen rates (0, 55, 110 and 165 kg ha-1) were allocated in sub plots. The Phonological events like flowering i.e. anthesis and physiological maturity phase were very close to the practical date as predicted by DSSAT model, however, prediction was more for leaf area index than actually observed in the field and d-index values were in the range of 0.934 to 0.991 for all the treatments. Model simulated economic production very close to the observed values obtained from the filed which illustrate the validation of the model under climatic conditions of Sargodha.
Keywords: AARI-2011, Calibration, Fisher’s analysis, RMSE, DSSAT
Cite this Article
Nadeem Munawar, Shahwar-Ibne-Aslam, Abubakar Siddique, Atta-ur-Rehman. CERES-Wheat Crop Simulation Model Application for Nitrogen Management of Wheat Varieties under Environmental Conditions of Sargodha. Research & Reviews: Journal of Crop Science and Technology. 2020; 9(1): 23–26p.
References
Monteith, J.L., 1981. Climatic variation and the growth of crops. Quarterly Journal of the Royal Meteorological Society, 107(454), pp.749-774.
Jones, J.W., Tsuji, G.Y., Hoogenboom, G., Hunt, L.A., Thornton, P.K., Wilkens, P.W., Imamura, D.T., Bowen, W.T. and Singh, U., 1998. Decision support system for agrotechnology transfer: DSSAT v3. In Understanding options for agricultural production (pp. 157-177). Springer, Dordrecht.
Jones, J.W., Hoogenboom, G., Porter, C.H., Boote, K.J., Batchelor, W.D., Hunt, L.A., Wilkens, P.W., Singh, U., Gijsman, A.J. and Ritchie, J.T., 2003. The DSSAT cropping system model. European journal of agronomy, 18(3-4), pp.235-265.
W. Nasim, “Modeling the growth, development, radiation use efficiency and yield of different wheat cultivars,” M. Sc (Hons.) Thesis. Department of Agronomy, University of Agriculture, Faisalabad, Pakistan, 2007.
Tsvetsinskaya, E.A., Mearns, L.O., Mavromatis, T., Gao, W., McDaniel, L. and Downton, M.W., 2003. The effect of spatial scale of climatic change scenarios on simulated maize, winter wheat, and rice production in the southeastern United States. In Issues in the Impacts of Climate Variability and Change on Agriculture (pp. 37-71). Springer, Dordrecht.
Carbone, G.J., Mearns, L.O., Mavromatis, T., Sadler, E.J. and Stooksbury, D., 2003. Evaluating CROPGRO-soybean performance for use in climate impact studies. Agronomy Journal, 95(3), pp.537-544.
Hoogenboom, G., 2000. Contribution of agrometeorology to the simulation of crop production and its applications. Agricultural and forest meteorology, 103(1-2), pp.137-157.
Wise, R. and Cacho, O., 2005. Tree–crop interactions and their environmental and economic implications in the presence of carbon-sequestration payments. Environmental Modelling & Software, 20(9), pp.1139-1148.
Pathak, H., Li, C., Wassmann, R. and Ladha, J.K., 2006. Simulation of nitrogen balance in rice–wheat systems of the Indo-Gangetic Plains. Soil Science Society of America Journal, 70(5), pp.1612-1622.
Ostlie, M.H. and Howatt, K.A., 2013. Downy brome (Bromus tectorum) competition and control in no-till spring wheat. Weed Technology, 27(3), pp.502-508.
Willmott, C. J., & Matsuura, K. (2005). Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance. Climate research, 30(1), 79-82.
Refbacks
- There are currently no refbacks.
Copyright (c) 2020 Research & Reviews: Journal of Crop Science and Technology