Impact of Global Warming on Rainfall, And Cotton Lint With Vulnerability Profiles of Five Districts In Vidarbha, India
Deshmukh D. T., Lunge H. S.
Keywords:- Agriculture, Climate Variables, Correlation, Regression, t-test, Vulnerability Index.
Abstract:- India is an agriculture based country and sixty five per cent of agriculture is heavily dependent on natural factors such as rainfall and temperature. India is an important grower of cotton on a global scale. Vidarbha is the eastern region of Maharashtra State. Nearly 89% of cultivated area of Vidarbha is under rain fed farming.Now a day's global warming has become a great challenge for the agrarian economy of India. This paper analyses the agriculture productivity of cotton lint, average maximum and minimum temperatures and total rainfall data for twenty two years obtained from IMD, Pune for five districts of Vidarbha. Regression and correlation analysis is obtained and their significance is tested. It is observed that 4 month average total mean rainfall shows decreasing trend for all the study districts except Wardha district. Global warming vulnerability profiles are developed at the district level for agriculture for these districts of Vidarbha region and Wardha observed as the most vulnerable district.
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