International Journal of Pure & Applied Bioscience (IJPAB)
Year : 2017, Volume : 5, Issue : 6
First page : (918) Last page : (925)
Article doi: http://dx.doi.org/10.18782/2320-7051.5836
Changing Pattern of Weather Variables on Wheat Yield - A Statistical Analysis
Subhash Kumar, S. P. Singh and Mahesh Kumar*
Department of Statistics, Mathematics and Computer Application
Dr. Rajendra Prasad Central Agricultural University, Pusa, Samastipur, Bihar -848125
*Corresponding Author E-mail: mahesh_smca@yahoo.co.in
Received: 5.10.2017 | Revised: 12.x11.2017 | Accepted: 16.11.2017
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 wheat in Samastipur district of Bihar by using statistical methods. 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. The time series information of yield and seasonal meteorological data e.g., Temperature (Max. and Min.), Relative humidity (Morning and Evening), Evaporation and Rainfall will have used trend to assess the using Mann Kendall Test and Theil Sen slope will have used to estimate changing pattern of weather variables on wheat yield. The resultant Mann-Kendall test statistic (S) indicates the presence of trend in weather factors like Temperature (Maximum and Minimum), Relative humidity (Morning and Evening), Evaporation and Rainfall and whether it is increasing or decreasing. Theil Sen slope estimator has been used to assess the magnitude of trend and percentage change in different variables has been calculated. Statistically significant trends are observed in all the variables. It is observed that wheat yield increases 29 % over the period (1984 - 2013). Negative trend is observed in maximum temperature and rainfall. Positive trend is observed in minimum temperature, humidity and evaporation.
Key word: Mann-Kendall test, Theil Sen slope, Weather Variables, Temperature, Relative humidity, Evaporation, Rainfall
Full Text : PDF; Journal doi : http://dx.doi.org/10.18782
Cite this article: Kumar, S., Singh, S. P. and Kumar, M., Changing Pattern of Weather Variables on Wheat Yield- A Statistical Analysis, Int. J. Pure App. Biosci.5(6): 918-925 (2017). doi: http://dx.doi.org/10.18782/2320-7051.5836
