National Academy of Agricultural Sciences (NAAS)
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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 |
Pre harvest crop yield forecast is required for storage, pricing, marketing, import, export etc. Weather is the main factor which affects crop yield. Variability in weather causes the losses in the yield. Use of weather can be done for crop production forecast. Weather plays an important role in crop growth. Therefore model based on weather parameters can be provide reliable forecast in advance for crop yield. In this study, the focus was on the development crop yield forecast (CYF) model through stepwise linear regression technique using weather variables and historic crop yield. The model use, maximum and minimum temperature, rainfall, relative humidity and sunshine hours during crop growing period and long term yield data of wheat crop. Yield prediction was carried out for Wheat (Triticum aestivum) in 8 districts of Chhattisgarh state during 2015-16. The rabi wheat yield and weather data from 1971 to 2012 for 8 districts of Chhattisgarh state were used to develop wheat yield forecast model. From the CYF models it can be inferred that among all the weather variables, temperature (maximum & minimum) and relative humidity play key role as predictor in all the districts. The models were validated with the actual yield for the 2013 and 2014. Accuracy of these models tested with coefficient of determination (R2).
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