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 |
Forecasting of fibre yield of jute (Corchorus spp.) is required for storage, marketing, import, export strategy. Weather is the main factor which affects crop growth and yield. Variability in weather causes the losses in the yield. Forecasting fibre yield of jute can be done with the help of weather parameters. Therefore model based on weather parameters can be provide reliable forecast for jute yield. In this study, the focus was on the development of crop yield forecasting model through stepwise linear regression technique using weather variables and historic yield data from 1995 to 2017 of Nadia district, West Bengal. The model use 24 original parameters, 24 generated weather variables, 18 interaction weather variables, 18 generated interaction weather variables and Time trend (T) during growing period and yield data of jute. Model development was carried out from 1995 to 2013. From the models it can be inferred that among the different variables, total rainfall, afternoon vapour pressure, afternoon soil temperature at 30cm depth and interactive value between temperature range with rainfall, rainy days and morning relative humidity were the most influencing predictors for fibre yield of jute for the districts. The models were validated with the actual yield for the period 2014 to 2017. Accuracy of these models tested with coefficient of determination (R2).
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