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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2019)
[Effective from January 1, 2019]
For more details click here

ICV 2017: 100.00
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2017: 100.00
For more details click here

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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
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Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2017: 100.00
NAAS RATING 2018: 5.38

Int.J.Curr.Microbiol.App.Sci.2017.6(12): 2480-2485
DOI: https://doi.org/10.20546/ijcmas.2017.612.288


Assessing Production Potential of Wheat Crop (Var; Kanchan) in Raipur District of Chhattisgarh Region under Projected Climate Scenarios
M.K. Beck1*, A. Jain1 and S. Mohanty2
1Department of Agrometeorology, Indira Gandhi Krishi Vishwavidyalaya, Raipur-492012, India
2Department of Agricultural Meteorology, College of Agriculture Bhubaneswar, OUAT, India
*Corresponding author
Abstract:

Crop simulation model (CERES - wheat model) was used to simulate and assessing wheat variety of Kanchan at Raipur district of Chhattisgarh. In this context, during the year 2013-14 experiments on three sowing dates viz. Nov. 25(D1), Dec. 05(D2) and Dec. 10(D3) were conducted at Department Agrometeorology, IGKV, Raipur. Results revealed that the model outputs were three dates overall maximum production found in 2050’s at projected scenarios. Maximum observed values with 25Th November sown crop than other sowings of crop in terms of phenological events, biomass accumulation and grain yields. However, under projected years (2030, 2040 and 2050) decreases the yield with increasing year. These results indicate that CERES-Wheat model can be used as a tool to support decision-making for wheat production in different three dates of sowing.


Keywords: Simulation, CERES-model, Wheat crop, Projection scenario, Yield.
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How to cite this article:

Beck, M.K., A. Jain and Mohanty, S. 2017. Assessing Production Potential of Wheat Crop (Var; Kanchan) in Raipur District of Chhattisgarh Region under Projected Climate Scenarios.Int.J.Curr.Microbiol.App.Sci. 6(12): 2480-2485. doi: https://doi.org/10.20546/ijcmas.2017.612.288