Havaldar, Y.N.Hanabar, Siddu2021-12-292021-12-292017-07https://krishikosh.egranth.ac.in/handle/1/5810180056ABSTRACT The study was conducted during 2016 at Department of Agricultural Statistics, University of Agricultural Sciences, Dharwad. In Karnataka, Belagavi occupies first place in the sugarcane production. Sugarcane is a renewable natural agriculture resource as it provides sugar, biofuel, fibre, fertilizer and by-products or co-products with ecological sustainability. Both primary and secondary data was collected to satisfy the specific objectives. The secondary data was collected from 1990-91 to 2014-15 and the primary data was collected from 100 farmers randomly in selected taluks of Belagavi district. The statistical tools used to analyse the collected data were Non-linear regression models, Path analysis and Garrette’s ranking. In case of both area and production, exponential model showed best fit because of highest R2, lowest standard error and least mean square error. In case of multiple regression, rainfall and relative humidity (morning) were highly significant but negatively contributing. Whereas, minimum temperature is significant and positively contributing to sugarcane production with R2 value 66 per cent and minimum temperature was positive and significantly contributing to yield of sugarcane with R2 value 27 per cent. Minimum temperature had highest direct effect on production followed by maximum temperature and relative humidity (evening). Relative humidity (morning) followed by rainfall had negative direct effect on production of sugarcane. In case of sugarcane yield, except relative humidity (morning) all the weather parameters had positive direct effect. In order to rank the production and marketing constraints, Garrett’s ranking technique was carried out. Non-availability of water for irrigation ranked first in case of production constraints and low price in local market ranked first in case of marketing constraints.EnglishThesis