DOI number: 10.5027/jnrd.v4i0.07

[stag_toggle style=”stroke” title=”Authors” state=”open”]

Prabhakaran T. Raghu a, Varghese Manaloor b, V. Arivudai Nambi a

a M.S. Swaminathan Research Foundation, Biodiversity Department, Chennai, India
b University of Alberta, Augustana Campus, Department of Social Sciences, Camrose, Canada

* Corresponding author: tr.prabha@mssrf.res.in [stag_icon icon=”envelope-o” url=”” size=”15px” new_window=”no”]
[/stag_toggle]

[stag_toggle style=”stroke” title=”Abstract” state=”open”]

Sustainable agricultural practices require, among other factors, adoption of improved nutrient management techniques, pest mitigation technology and soil conservation measures. Such improved management practices can be tools for enhancing crop productivity. Data on micro-level farm management practices from developing countries is either scarce or unavailable, despite the importance of their policy implications with regard to resource allocation. The present study investigates adoption of some farm management practices and factors influencing the adoption behavior of farm households in three agrobiodiversity hotspots in India: Kundra block in the Koraput district of Odisha, Meenangadi panchayat in the Wayanad district of Kerala and Kolli Hills in the Namakkal district of Tamil Nadu. Information on farm management practices was collected from November 2011 to February 2012 from 3845 households, of which the data from 2726 farm households was used for analysis. The three most popular farm management practices adopted by farmers include: application of chemical fertilizers, farm yard manure and green manure for managing nutrients; application of chemical pesticides, inter-cropping and mixed cropping for mitigating pests; and contour bunds, grass bunds and trenches for soil conservation. A Negative Binomial count data regression model was used to estimate factors influencing decision-making by farmers on farm management practices. The regression results indicate that farmers who received information from agricultural extension are statistically significant and positively related to the adoption of farm management practices. Another key finding shows the negative relationship between cultivation of local varieties and adoption of farm management practices.

[/stag_toggle]

[stag_toggle style=”stroke” title=”References” state=”closed”]

Abdulai A., Huffman W.E., 2005. The diffusion of new agricultural technologies: the case of crossbred-cow technology in Tanzania. American Journal of Agricultural Economics. 87, 645-659.

Akinola A., Owombo P., 2012. Economic Analysis of Adoption of Mulching Technology in Yam Production in Osun State, Nigeria. International Journal of Agriculture and Forestry. 2(1), 1-6.

Anderson J.R., Feder G., 2003. Rural Extension Services. Agriculture and Rural Development Department, World Bank Policy Research Working Paper 2976, February 2003, World Bank, Washington, DC.

Arif M., Ali S., Khan A., Jan T., Akdar M., 2006. Influence of farm yard manure application on various wheat cultivars. Sarhad Journal of Agriculture. 22, 27-29.

Arunachalam V., Panda A.K., Thomas A., Shanthi G., Sathya C.K., Nambi V.A., 2008. Knowledge and impact of participation: Technical Analysis of a Knowledge Survey. M.S.Swamination Research Foundation, Chennai, India.188 _ viii pp.

Cameron A., Trivedi P., 2005. Microeconometrics: Methods and Applications. Cambridge University Press, Cambridge. Cameron A., Trivedi P., 1998. Regression Analysis of Count Data. Cambridge University Press, New York.

Cameron A., Trivedi P., 1990. Regression-Based Tests of Overdispersion in the Poisson Regression Model. Journal of Econometrics. 46, 347-364.

Chaves B., Riley J., 2001. Determination of factors influencing integrated pest management adoption in coffee berry borer in Columbian farms. Agriculture, Ecosystems and Environment. 87, 159-177.

Cooper J.C., 2003. A joint framework for analysis of agri-environmental payment programs. American Journal of Agricultural Economics. 85, 976-987.

Deressa T.T., Hassan R.M., Ringler C., Alemu T., Yesuf M., 2009. Determinants of farmers’ choice of adaptation methods to climate change in the Nile Basin of Ethiopia. Global Environment Change. 19, 248-255.

Directorate of Economics and Statistics, Department of Agriculture and Cooperation, Ministry of Agriculture, Government of India. ‘Agricultural statistics at a glance 2011’, http://eands.dacnet.nic.in/latest_20011.htm. Accessed September 20, 2013.

Feder G., Just R.E., Zilberman D., 1986. Adoption of Agricultural Innovations in Developing Countries: A Survey. Economic Development and Cultural Change, 35(1), 255-98.

Gautam M., 2000. Agricultural Extension: The Kenya Experience: An Impact Evaluation, Operations Evaluation Department, World Bank, Washington, DC. Greene W., 2008. Functional forms for the negative binomial model for count data. Economics Letter. 99, 585-590.

Greene W., 2007. LIMDEP 9.0 Reference Guide, Econometric Software, Inc. Plainview. Gruere G., Nagarajan L., King, E.D.I.O., 2009. The role of collective action in the marketing of underutilized plant species: lessons from a case study on minor millets in South India. Food Policy. 34, 39-45.

Harper J.K., Rister M.E., Mjelde J.W., Dress B.M., Way M., 1990. Factors influencing the adoption of insect management technology. American Journal of Agricultural Economics. 73, 860-866.

Holloway G.J., Ehui S.K., 2001. Demand, Supply and Willingness-to-Pay for Extension Services in an Emerging Market Setting. American Journal of Agricultural Economics. 83(3), 764-8.

Howley P., Donoghue C.O., Heanue K., 2011. Factors Affecting Farmers’ Adoption of Agricultural Innovations: A Panel Data Analysis of the Use of Artificial Insemination among Dairy Farmers in Ireland. Journal of Agricultural Sciences. 4, 171-179.

Hussain M.Z., Rehman N., Khan M.A., Roohullah, Ahmed S.R., 2006. Micronutrients status of Bannubasen soils. Sarhad Journal of Agriculture. 22, 283-285.

Isgin T., Bilgic A., Forster D.L., Batte, M.T. (2008). Using cont data models to determine the factors affecting farmers’ quantity decisions of precision farming technology adoption. Computers and Electronics in Agriculture. 62, 231-242.

Jahiruddin M., Ali M.S., Hossain M.A., Ahmed M.U., Hoque M.M., 1995. Effect of Boron on grain set, yield and some others of wheat cultivars. Bangladesh Journal of Agricultural Sciences. 22, 179-184.

Jayakumar S., Arockiasamy D.I., Britto S.J., 2002. Conserving forests in the Eastern Ghats through remote sensing and GIS: a case study in Kolli Hills. Current Science. 82(10), 1259-1267.

Josephat M., 1997. Wayanad – District Handbooks of Kerala, India, in: Natarajan L., I.A.S., (Eds.), Department of Public Relations, Government of Kerala, India.

Kara E., Ribaudo M., Johansson R.C., 2008. On how environmental stringency influences adoption of best management practices in agriculture. Journal of Environmental Management. 88, 1530-1537.

Kerr J.M., Sanghi N.K., 1992. Indigenous soil and water conservation in India’s semi-arid tropics. Gatekeeper Series No. 34, Sustainable Agriculture Program. International Institute of Environment and Development, London.

King E.D.I.O., Nambi V.A., Nagarajan, L., 2008. Integrated approaches in small millet conservation: a case from Kolli Hills, India, in: Jaenicke H., Ganry J., Hoeschle- Zeledon I, Kahane R. (Eds.), Proceedings of the International Symposium on Underutilized Plants for Food Safety, Nutrition, Income and Sustainability Development: Vol. 1: International Society for Horticultural Sciences.

Kumar A., Girigian G., Venugopal R., 2003. A report on agri-export zone: prospects of Wayanad District, Kerala, India, in: Wayanad Agriculture Development Committee and Community Agrobiodiversity Centre, M.S.Swaminathan Research Foundation, India.

Kumaran M., 2004. Assessment of development interventions of M.S.Swaminathan Research Foundation in Kolli Hills using geographical information systems. Dissertation, Department of Rural Development, Gandhigram Rural Institute, Gandhigram Deemed University, Tamil Nadu, India.

Mariano M.J., Villano R., Fleming E., 2012. Factors influencing farmers’ adoption of modern rice technologies and good management practices in the Philippines. Agricultural Systems. 110, 41-53.

Mishra C.S., Taraputia, T., 2013. Customized Row Markers: An Innovation Enhancing Food Security and Reducing Drudgery in Tribal Communities of Koraput Tract, Odisha. International Journal of Sustainable Development. 6(1), 77-82.

Mishra S., Chaudhury S.S., 2012. Ethnobotanical flora used by four major tribes of Koraput, Odhisa, India. Genetic Resources and Crop Evolution. 59(5), 793-804.

Mishra S., Chaudhury S.S., Nambi V.A., 2012. Strengthening of traditional paddy seed selection practices of tribal farm families with improved knowledge and skills in Koraput district, Odisha. Indian Journal of Traditional Knowledge. 11(3), 461-470.

Mohanti K.K., Mohapatro P.C., Samal J., 2006. Tribes of Koraput. Council of Analytical Tribal Studies, Koraput, Orissa, India.Total pages 538.

MSSRF, FAO, 2002. Rural and Tribal Women in Agrobiodiversity Conservation. M.S. Swaminathan Research Foundation at Chennai, India & Food and Agriculture Organization for Asia and Pacific at Bangkok, Thailand.

Nayar M.P., Singh A.K., Nair K.N., 2009a. Agrobiodiversity Hotspots in India: Conservation and Benefit Sharing. Vol. (1), i-xii + total pages 217.

Nayar M.P., Singh A.K., Nair K.N., 2009b. Agrobiodiversity Hotspots in India: Conservation and Benefit Sharing. Vol. (II), i-xii + total pages 309.

Norris P.E., Batie S.S., 1987. Virginia farmers’ soil conservation decisions: an application of Tobit analysis. Southern Journal of Agricultural Economics. 19, 79-89.

Pathak K.A., 2002. Insect pests of agri-horticultural crops and their management in NEH region, in: Satapathy K.K., Dutta K.K. (Eds.). Integrated Watershed Management for Sustainable Development, ICAR Research Complex for NEH Region, Umiam, Meghalaya – 793 103, India, pp. 160.

Pitt M.M., Sumodiningrat G., 1991. Risk, schooling and the choice of seed technology in developing countries: a meta-profit function approach. International Economics Review. 32, 457-473.

Polson R.A., Spencer, D.S.C., 1991. The technology adoption process in subsistence agriculture: the case of cassava in South Western Nigeria. Agricultural Systems. 36, 65-77.

Ramirez O.A., Shultz S.D., 2000. Poisson count model to explain the adoption of natural resource management technologies by small farmers in Cental American countries. Journal of Agricultural and Applied Economics. 32, 21-33.

Sharma A., Bailey A., Fraser I., 2011. Technology adoption and pest control strategies among UK cereal farmers: Evidence from parametric and nonparametric count data models. Journal of Agricultural Economics. 62, 73-92.

Sharma Y.P., Prasad M.S., Prasad, A.S.L., 2002. Disease problems of important crops of NEH region and their management, in: Satapathy K.K., Dutta K.K. (Eds.). Integrated Watershed Management for Sustainable Development, ICAR Research Complex for NEH Region, Umiam, Meghalaya – 793 103, India, pp. 166.

Siljal V.P., Varmal K.S., Mohanan K.V., 2008. Ethnomedicinal plant knowledge of the MulluKuruma tribe of Wayanad district, Kerala. Indian Journal of Traditional Knowledge. 7(4), 604-612.

Smale M., Heisey, P.W., 1993. Simultaneous estimation of seed-fertilizer adoption decision: an application of hybrid maize in Malawi. Technological Forecasting and Social Change. 43, 353-368.

Umali D.L., Schwartz L., 1994. Public and Private Agricultural Extension: Beyond Traditional Frontiers. World Bank Discussion Paper 236, World Bank, Washington, DC.

Van den Ban A.W., Hawkins H.S., 1996. Agricultural Extension, 2nd edn., Blackwell, Oxford.

[/stag_toggle]

GDE Error: Error retrieving file - if necessary turn off error checking (404:Not Found)

Read More