International Journal of Pure & Applied Bioscience (IJPAB)
Year : 2017, Volume : 5, Issue : 5
First page : (1594) Last page : (1598)
Article doi: http://dx.doi.org/10.18782/2320-7051.5790
Effect of Climatic Variable on Wheat at Its Different Stages with the Help of Regression Analysis
Subhash Kumar*, S. P. Singh and Nidhi
Department of SMCA, Dr. Rajendra Prasad Central Agricultural University, Pusa, Samastipur, Bihar -848125
*Corresponding Author E-mail: subhashkr97@gmail.com
Received: 25.09.2017 | Revised: 4.11.2017 | Accepted: 7.11.2017
ABSTRACT
This study examines the effect of climatic factor e.g. Temperature (Maximum and Minimum), Relative humidity (Morning and Evening), Evaporation and Rainfall variation on the yield of different stages of wheat in Samastipur district of Bihar by using regression analysis statistical method. The data of wheat yield of 29 Years (1984-2013) was taken from Department of Agricultural Economics, RAU, Pusa and Weather Variables (1984-2013) was taken from Agro-metrology Unit, RAU, Pusa. regression model approaches will have used to estimate the impact of climate variables on the stages of wheat yield. The whole crop season was divided into eight stages and at each stage the contribution of each weather variable was assessed using regression model. Model VII was used to study effects of weather variables on the crop yield at different growth stages. It can be concluded that per unit increase in the magnitude of most of the weather variables has made adverse effect on the yield during the entire crop season except during certain phases of crop growth. For example, the beneficial effect on the yield has been generally obtained during boot stage due to unit increase in minimum temperature.
Key words: Climate change, Wheat yield, weather variable, Regression model.
Full Text : PDF; Journal doi : http://dx.doi.org/10.18782
Cite this article: Kumar, S., Singh, S. P. and Nidhi, Effect of Climatic Variable on Wheat at Its Different Stages with The Help of Regression Analysis, Int. J. Pure App. Biosci.5(5): 1594-1598 (2017). doi: http://dx.doi.org/10.18782/2320-7051.5790
