A.R.S. BhatSuresh Babu K.C.2016-11-232016-11-232013http://krishikosh.egranth.ac.in/handle/1/87224The statistical investigation of impact of climate on chilli yield in Dharwad, Gadag and Haveri districts was conducted based on secondary data of Chilli yield (1998-2010), obtained from Directorate of Economics and Statistics, Government of Karnataka, Bangalore and the weather parameters (1995-2012) were obtained from Assistant executive water gauge office sub-division-2, Dharwad. Different statistical techniques such as, correlation analysis, trend analysis, Mann-Kendall test, stepwise regression analysis and spatial lag models were employed for drawing inference. An effort is made to build the suitable models for the trend of weather parameters by using different statistical models. The cubic model was found to be significant and best suited for the trends of rainfall, temperature and relative humidity of selected districts, followed by quadratic model. The results of Mann-Kendall test indicated that most of the months showed no trend for rainfall, temperature and relative humidity of Dharwad district, whereas relative humidity of Gadag and Haveri districts, showed an increasing and decreasing trend respectively in most of the months. Stepwise regression models have been employed to know the association between Chilli yield and weather parameters. There was a positive significant effect of rainfall on chilli yield in Dharwad district. In case of Gadag district, the minimum temperature had negative significant impact on yield, whereas in Haveri district, the maximum temperature and minimum relative humidity had negative significant impact. The spatial dependence of the Chilli yield on weather parameters of Dharwad, Gadag and Haveri districts were observed and concluded that neighboring district weather parameters were directly or indirectly affect the yield of Chilli in the selected districts. In the present scenario of climate change the spatial analysis would serve as a strategic tool for predicting the yield levels of targeted crops.Thesis