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International Journal of Pure & Applied Bioscience (IJPAB)
Year : 2017, Volume : 5, Issue : 6
First page : (1229) Last page : (1237)
Article doi: http://dx.doi.org/10.18782/2320-7051.4031

Seasonal Irrigation Analysis of Maize Using CERES Maize Model in DSSAT under Temperate Kashmir

B. A. Lone*, K. N. Singh, Zahoor Ahmad Dar, Sameera Qayoom, Purshotam Singh, Asma Fayaz, Sandeep Kumar, and Gurdeep Singh
Shere - Kashmir University Of Agricultural Sciences And Technology, Kashmir
*Corresponding Author E-mail: alonebilal127@gmail.com
Received: 12.06.2017  |  Revised: 22.07.2017   |  Accepted: 25.07.2017  


Seasonal analysis experiments were conducted at Shalimar Campus of Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir which is situated 16 Km away from city center that lies between 34.08 o N latitude and 74.83 o E longitude at an altitude of 1587 meters above the mean sea level. The experiment was conducted on maize with different levels of irrigation %age.  Genetic coefficients of maize variety C6 were verified/generated for calibration and validation of model CERES-Maize (DSSAT v 4.6). Six treatments were studied using this model comprising i) Unirrigated ii) 90% irrigation iii) 70% irrigation iv)50% irrigation iv) 30% irrigation and 10% irrigation. The model was run using long term weather data of Srinagar (SKUAST-K, Shalimar). To see the impact of irrigation levels on maize behavior with respect to yield and attributes on long term basis. For every treatment in treatment matrix rest of the information was kept same all the input management files. While in simulation we use different treatments by changing the percentage of irrigation applied. The model was run for biophysical analysis with respect to 30 years’ weather data for the same location. The CERES-Maize simulation model was calibrated and validated data was used. Simulated studies indicated that Irrigation plays a very important role as far as maize cultivation is concerned. It was observed that irrigated maize with 70 % irrigation provided gives the maximum growth and yield and yield attributes followed by 90 %, 50 %, 30 % and 10 %. However least tops weight was recorded in unirrigated conditions throught out the 30 years’ weather data. Harvest and maturity yield in simulation mean 30 years’ data showed that the maximum harvest yield of 33.39 qntls ha-1 with 70 % automatic irrigated which was closely followed by the treatments 30 %, 10 %   and 70 % automatic with mean values of 33.22, 33.20 and 33.20 qtls ha-1 respectively. While least value of 2.99 qtls ha-1 was recorded under rainfed maize. the magnitude of decrease was around 90 % as compared to all other irrigation levels, thus we can say that water plays a vital role in maize crop production however we can also save it to some extent.

Key words: CERES maize, DSSAT, Seasonal analysis, Irrigation, Simulation, Yield attributes, Yield. Kg ha-1

Full Text : PDF; Journal doi : http://dx.doi.org/10.18782

Cite this article: Lone, B.A., Singh, K.N., Dar, Z.A., Qayoom, S., Singh, P., Fayaz, A., Kumar, S. and Singh, G., Seasonal Irrigation Analysis of Maize Using CERES Maize Model in DSSAT under Temperate Kashmir, Int. J. Pure App. Biosci.5(6): 1229-1237 (2017). doi: http://dx.doi.org/10.18782/2320-7051.4031