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Constraints Affecting Growth of Dairying Under Mixed Farming Systems : Scientists Perception
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The future growth of agricultural production systems (including dairy) is likely to be knowledge intensive. Therefore, a continued support in the form of increasingly improved production technology will prove crucial to achieve higher productivity. Such support is possible only if sustained and focused efforts are made on research and development front. It is only logical to suggest here that a realistic appreciation of the constraints affecting the production systems on part of scientists will be vital to the development of improved technology. Ascertaining the constraint perception of the scientists about the factors affecting the growth of mixed dairy farming systems will be helpful in streamlining the research and development efforts. The study was conducted in Hisar district of Haryana state to document the constraints affecting the growth of mixed dairy farming systems. Thirty scientists working in the College of Veterinary Sciences, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar were selected randomly by simple random sampling. Constraints like ‘young generation does not like animal husbandry related work’, ‘non-availability of pasture and fellow land’, ‘non-availability of green fodder’, ‘farmers lack of knowledge about improved animal husbandry practices’, ‘high cost of animal feeds’, etc were perceived as most serious by the scientists. On the other hand, items like ‘there is perception that animals cause diseases’, ‘changing milk consumption patterns’, ‘more time is required for agriculture leaving less for animal husbandry’, ‘lack of market for dairy products’ etc. were perceived as least serious.
Keywords
Constraints Affecting Growth, Dairying under Mixed Farming Systems.
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- Ayele, S., Duncan, A., Larbi, A. and Khanh, T.T. (2012). Enhancing innovation in livestock value chains through networks: Lessons from fodder innovation case studies in developing countries. Science and Public Policy first Published online April 23, 2012 doi:10.1093/scipol/scs022.
- Bernues, A. and Herrero, M. (2008). Farm intensification and drivers of technology adoption in mixed crop-dairy systems in Santa Cruz, Bolivia. Spanish J. Agric. Res., 6 (2) : 279-293.
- Delgado, C., Rosegrant, M., Steinfield, H., Ehui, S. and Courbois, C. (1999). Livestock to 2020; The next food revolution, IFPRI, food, agriculture and environment dicussion Paper 28, International Food Policy Research Institute, Washington DC, USA.
- Devendra, C. (2000). Animal production and rain-fed agriculture in Asia: potential opportunities for productivity enhancement. Outlook Agric., 29: 161–175.
- Erenstein, O. and Thorpe, W. (2009). Crop–livestock interactions along agro-ecological gradients: a meso-level analysis in the Indo-Gangetic Plains, India. Environment, Development and Sustainability. Available at http://dx.doi.org/10.1007/s10668-009-9218-z accessed on May 6, 2012.
- Gautam, Dalal, R.S. and Pathak, V. (2010). Indian dairy sector: Time to revisit operation flood. Livestock Sci., 127: 164–175.
- GOI (2012). Report of the working group on animal husbandry and dairying for the eleventh five year plan (2007-2012).
- Herrero, M., Gonzalez-Estrada, E., Thornton, P.K., Quiros, C., Waithaka, M.M., Ruiz, R. and Hoogenboom, G. (2007). IMPACT: Generic household-level databases and diagnostics tool for integrated crop-livestock system analysis. Agric. Syst., 92: 240-265.
- IFAD (2012). Youth in agriculture: Special session of the farmers’ Forum Global Meeting, 18 February 2012, IFAD, Rome.
- Iiyama, M.,Maitima, J. and Kariuki, P. (2007). Crop-livestock diversification patterns in relation to income and manure use: A case study from a Rift Valley Community, Kenya. African J. Agric. Res., 2 (3) : 58-66.
- Khan, A.A. and Bidabadi, F.S. (2004). Livestock revolution in India: Its impact and policy response. South Asia Res., 24 (2): 99–122.
- Kristjanson, P.M. and Thornton, P.K. (2004). Methodological challenges in evaluating impact of crop-livestock interventions. In: Sustainable crop-livestock production for improved livelihoods and natural resource management in West Africa (Eds. Williams). International Livestock Research Institute, Nairobi: 160-172pp.
- McDermott, J., Staal, S.J., Freeman, H.A., Herrero, M. and Van de Steeg, J.A. (2010). Sustaining intensification of smallholder livestock systems in the tropics. Livestock Sci., 130: 95–109.
- McIntire, J., Bourzat, D. and Pingali, P. (1992). Crop-livestock interaction in sub-saharan Africa. World Bank Regional and Sectoral Studies, the World Bank, Washington, D.C.
- Pell, A.N. (1999). Integrated crop-livestock management systems in Sub-Saharan Africa. Environ., Develop. & Sustain., 1: 337-248.
- Rao, N.H. (2006). A framework for implementing information and communication technologies in agricultural development in India. Technological Forecast. & Social Change, 74 (4): 491-518.
- Rao, P.P., Birthal, P.S. and Ndjeunga, J. (2005). Crop livestock economies in the semi-arid tropics: facts, trends and outlook. ICRISAT, Patancheru, India: 68.
- Sere, C. and Steinfeld, H. (1996). World livestock production systems: Current status, Issues and Trends. FAO Animal Production and Health Paper 127. FAO, Rome.
- Sere, C., Ayantunde, A., Duncan, A., Freeman, A., Herrero, M., Tarawali, S. and Wright, I. (2008). Livestock production and poverty alleviation - challenges and opportunities in arid and semi-arid tropical rangeland based systems. Proc. Internat. IGC–IRC 2008 Congress, China & Mongolia., 1: 19-26.
- Thornton, P.K. and Herrero, M. (2001). Integrated crop-livestock simulation models for scenario analysis and impact assessment. Agric. Syst., 70: 581-602.
- Van Keulen, H. and Schiere, H. (2004). Crop-livestock systems: Old wine in new bottles? In: New directions for a diverse planet. Proceedings of the 4th International Crop Science Congress, Brisbane, Australia, 26 September-October 2004.
- Chander, Mahesh (2013). Youth: Potential target for agricultural extension.http://aesagfras.net/images/youth.pdf/ accessed on 24.4.2015.
- IFAD (2006). Technical agreement grant: Enhancing livelihoods of poor livestock keepers through increasing use of fodder. accessed 14 July 2011.
- NSSO (National Sample Survey Organisation) (2005). Situation assessment survey of farmers. Government of India, New Delhi. http://planningcommission.gov.in/sectors/agri_html/access%20to%20modern%20technology %20for%20 farming%2059%20round%202003.pdf.
- Paisley, Courtney (2013). Engaging youth in agriculture: Investing in our future. Global Food for thought. The official blog of the global Agricultural Development Initiative. http://globalfoodforthought.typepad.com/global-food-for-thought/2013/02/commentaryengaging-youth-in-agriculture-investing-in-our-future.html/ / accessed on 21/4/2015.
- Planning Commmission (2012) Working group on agricultural extension for agriculture and allied sectors, The 12th five year plan (2012-17), Planning Commission, Government of India.http://planningcommission.gov.in/aboutus/committee/wrkgrp12/agri/wg_agriextn.pdf.
- Sainath, P. (2013). Over 2,000 fewer farmers every day. The Hindu, May 2. http://www.thehindu.com/opinion/columns/sainath/over-2000-fewer-farmers-everyday/article 4674190.ece>
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