STATISTICAL ANALYSIS OF MILK PRODUCTION FOR FUTURE PLANNING WITH SPECIAL REFERENCE TO RAJASTHAN
Abstract
Every Government department has an Official Statistics, even then the Government do not provide the data. Rajasthan has desert of 55% of total area. Livestock of Rajasthan is one of the main source of livelihood. Livestock is also a provider for food security and insurance against poverty. Livestock is the main source of protein for the population. Milk production is also an important part of livestock products. Contribution of animal husbandry sector to the GDP of the State has been estimated to be around 10.21%. About 35% of the income of small and marginal farmers come from dairy and animal husbandry. Milk production plays a prominent role for protein in routine life. The State contributed 12 percent of milk to the nation’s production in the year 2016-17. Rajasthan is at second rank in production of milk in india. In this paper, best fitted regression model for production of milk is obtained by considering artificial insemination and medical facility as independent variables. By using time series data the forcasted value of milk production from year 2020 to 2030 is obtained.
Keyword : Livestock, Regression analysis, Milk production, Time series analysis and Forecasting.
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References
Abdurehman, A. and N. Ameha (2018). Prospects of Climate Change on Livestock Production. In Journal of Scientific and Innovative Research, 7(4), 100-105. Tayeb. A., Alene A. A., Nega A. K. and Yirsaw (2021). Time series analysis of cow milk production at Andassa dairy farm, west Gojam zone, Amhara Region, Ethiopia. Modeling Earth Systems and Environment, 7, 181-189. Chakravorty, D. (2018). Livestock Marketing in India: A Case Study. New Horizon International Journal of Management and Research, 1(1), 1-10. Chauhan, Nikulsingh, M. (2012). Contribution of the tribal women in livestock management. Agriculture Research and Training Institute. Gashaw, Temesgen, Asresie Aleme and Haylom Mulata (2014). Climate change and livestock production in Ethiopia. Academia Journal of Environment Sciences, 2(4), 59-62. Dostain, A., A.A. Mengal and S.H. Alizai (2018). A time series analysis regarding livestock management for future planning: A case study of balochistan province, Pakistan. Int. J. Adv. Res. Biol. Sci., 5(5), 176-184. Grigors, Mircea Adrian (2017). Research on the trends in animal production in the last decade in Romania. Scientific papers series Management, Economic Engineering in Agriculture and Rural Development, 17(4), 131-142. Iqubal, Md. Asif (2013). Livestock Husbandry and Environmental Problems. International Journal of scientific and Research Publication, 3(5), 2250-3153. Singh, J.P. and Jharna Banerjie (2020). Optimum farming plans for marginal farmers with restriction on livestock enterprises using liner programming problem. International Journal of Agricultural and Statistical Sciences. 16(2), 791-731. Macciotta, N.P.P., A. Cacchinato, M. Mele and G. Bittante (2012). Use of multivariate factor analysis to design new indicator variables for milk composition and coagulation properties in Brown Swiss cows. J. Dairy Sci., 95(12), 7346-7354. Patel, S.J., M.D. Patel, J.H. Patel, A.S. Patel and R.N. Gelani (2016). Role of women gender in livestock sector: A review. Journal of Livestock Science, 7, 92-96. Shah, Deepak (2016). Assessing current Status and Future vision for Animal Husbandary and Dairy Sector: A case study of Jalna District of Maharashtra. Indian Journal of Agricultural Marketing, 30(3), 117-130. Soju, Shwetha and Girdhari Lal Meena (2017). Dynamic of livestock population and output in Rajasthan: A Dynamic Analysis. Journal of Animal Research, 7(2), 345-354. Tabrez, zafar and Nizamuddin Khan (2014). Livestock Husbandary in Devi patan plain, Uttar Pradesh: A Geographical Study. ISOR journal of Agriculture and veterinary Science, 7(10), 19-28. Thornton, Philip K. (2010). Livestock stock Production: Recent trends, Future prospects, Philos Trans R Soc Lond B Biol Sci, 365(1554), 2853-2867.DOI: 10.1098/ rstb.2010.0134