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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 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2019: 96.39
Index Copernicus ICI Journals Master List 2019 - IJCMAS--ICV 2019: 96.39
For more details click here

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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2017.6(8): 1005-1009
DOI: https://doi.org/10.20546/ijcmas.2017.608.124


Yield Forecast of Rice Crop in Eastern U.P. Using Simulation Model
Ashish Singh, A.K. Singh, A.N. Mishra and C.B. Singh*
Department of Agricultural Meteorology, N D University of Agriculture and Technology Narendra Nagar, Kumarganj, Faizabad-224229 (U.P), India
*Corresponding author
Abstract:

An experiment was conducted during kharif 2015 and 2016 at Agro met Research Farm of NDUAT as to basis the yield forecast Yield Forecast of rice crop in Eastern U.P. using simulation Model. The genetic coefficients were determined by the Decision Support System for Agro Technology Transfer (DSSAT) model using the identical management and other conditions as in the field experiment for three varieties of rice (Sarooj-52, NDR-359 and Swarna). These determined coefficients were used in the subsequent in calibration on validation and other applications. Results reveal that observed value of grain yield of rice in July 5th transplanted rice was higher over simulated value, due to higher number of days taken to anthesis and physiological maturity over simulated value. Due to delay in transplanting, the grain yield of rice decreased in accordance with observed value too. This shows the better sensitivity of DSSAT model.


Keywords: Yield, Prediction, Model, calibration, Validation, DSSAT.
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How to cite this article:

Ashish Singh, A.K. Singh, A.N. Mishra and Singh, C.B. 2017. Yield Forecast of Rice Crop in Eastern U.P. Using Simulation Model.Int.J.Curr.Microbiol.App.Sci. 6(8): 1005-1009. doi: https://doi.org/10.20546/ijcmas.2017.608.124