Evaluating the Effect of Farmers’ Training on Rice Production in Sierra Leone: A Case Study of Rice Cultivation in Lowland Ecology
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32807
Evaluating the Effect of Farmers’ Training on Rice Production in Sierra Leone: A Case Study of Rice Cultivation in Lowland Ecology

Authors: Alhaji M. H. Conteh, Xiangbin Yan, M. E. S. Mvodo

Abstract:

This study endeavors to evaluate the effects of farmers’ training program on the adoption of improved farming practices, the output of rice farming, and the income as well as the profit from rice farming by employing an ex-post non-experimental data in Sierra Leone. It was established that participating in farmers’ training program increased the possibility of adoption of the improved farming activities that were implemented in the study area. Through the training program also, the proceeds from rice production was also established to have increased considerably. These results were in line with the assumption that one of the main constraints on the growth in agricultural output particularly rice cultivation in most African states is the lack of efficient extension programs.

Keywords: Dissemination of information, improved farming practices, rice ecologies, Sierra Leone.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1086915

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2432

References:


[1] D. Hongmin, L. Yue, D. Kemp, D. Michalk, N. Renhua, T. Takahashi, and Y. Yubo, Reducing methane production from livestock: can more efficient livestock systems help? Development of sustainable livestock systems on grasslands in north-western china, 2011, pp. 115.
[2] M.L. Burgoyne, Factors affecting housing delivery in South Africa: a case study of the Fisantekraal housing development project, Western Cape (Doctoral dissertation, Stellenbosch: University of Stellenbosch), 2008.
[3] O. O. Ogundele, and V. Okoruwa, Technical efficiency differentials in rice production technologies in Nigeria (No. RP_154). African Economic Research Consortium, 2006.
[4] E. L. Molua, Rice production response to trade liberalization in Cameroon. Research Journal of Agriculture and Biological Sciences, vol. 6, no.2, pp.118-129, 2010.
[5] D. Mitchell, A note on rising food prices. World Bank Policy Research Working Paper Series, Vol, 2008.
[6] S. V. Self-reporting, Derek Headey was the global food crisis really a crisis? Simulations versus self-reporting, 2012.
[7] T. Atinmo, P. Mirmiran, O. E. Oyewole, R. Belahsen, and L. Serra‐Majem, Breaking the poverty/malnutrition cycle in Africa and the Middle East. Nutrition reviews, vol, 67(s1), S40-S46, 2009.
[8] B. M. Mati, R. Wanjogu, B. Odongo, and P. G. Home, Introduction of the system of rice intensification in Kenya: experiences from Mwea Irrigation Scheme. J.Paddy and Water Environment, vol. 9, no. 1, pp.145-154, 2011.
[9] M., Mallory, and K. Baylis, The Food Corporation of India and the Public Distribution System: Impacts on Market Integration in Wheat, Rice, and Pearl Millet, 2012.
[10] United Nations. Economic Commission for Africa. Sub regional Office for Southern Africa; United Nations. Economic Commission for Africa. (2007). Impact of food aid and developed countries' agricultural subsidies on long-term sustainability of food security in Southern Africa.
[11] S. Pandey, and D. Van Minh, A socio-economic analysis of rice production systems in the uplands of northern Vietnam. J. Agriculture, ecosystems & environment, vol.70, no., pp.249-258, 1998.
[12] D. Van Tran, Closing the rice yield gap for food security. International Rice Commission. Food and Agricultural Organization, 2001.
[13] A. Doberman, and T.Fairhurst, Rice: Nutrient disorders & nutrient management. Int. Rice Res. Inst, 2000.
[14] A. Ferrero & A. Tinarelli, Rice cultivation in the EU ecological conditions and agronomical practices. Pesticide Risk Assessment in Rice Paddies: Theory and Practice: Theory and Practice, vol.1, 2011.
[15] K. S. Fischer, S. Fukai, A. Kumar, H., Leung, and, B. Jongdee, Field phenotyping strategies and breeding for adaptation of rice to drought. Frontiers in Physiology, vol.3, 2012.
[16] S. O. Adigbo, T. Wakatsuki, J. N. Odedina, T. O. Fabunmi, and V. B. Adigbo, Exploiting the Potentials of Inland Valleys of Nigeria for Poverty Alleviation. COLERM Proceedings, vol.2, pp.464-477, 2012.
[17] M., Demont, J., Rodenburg, M., Diagne, and S.Diallo, The impact assessment of herbicide resistant rice in the Sahel. J. Crop Protection, vol.28, no.9, pp.728-736, 2009.
[18] M. L. McNeely, S. A., Olivo, and D. J. Magee, A systematic review of the effectiveness of physical therapy interventions for temporomandibular disorders. J. Physical Therapy, vol.86, no.5, pp.710- 725, 2006.
[19] E. Duguet, Are R&D subsidies a substitute or a complement to privately funded R&D? Evidence from France using propensity score methods for non-experimental data. Evidence from France using Propensity Score Methods for Non-Experimental Data (July 2003). University of Paris I Cahier de la MSE EUREQua Working Paper, (2003.75), 2003.
[20] B. Melly, Estimation of counterfactual distributions using quantile regression. Review of Labor Economics, vol.68, pp.543-572, 2006.
[21] M. P. McCartney, and M. C. ACREMAN, 17 Wetlands and Water Resources. The Wetlands Handbook, 2 Volume Set, pp.357, 2009.
[22] P. A. Seck, E. Tollens, M., Wopereis, A., Diagne, and I. Bamba, Rising trends and variability of rice prices: Threats and opportunities for sub- Saharan Africa. J.Food Policy, vol.35, no. 5, pp.403-411, 2010.
[23] R. S. Zeigler, and A. Barclay, The relevance of rice. Rice, vol.1, no1, pp.3-10, 2008.
[24] P. C. Austin, Optimal caliper widths for propensity‐score matching when estimating differences in means and differences in proportions in observational studies. Pharmaceutical statistics, vol.10, no.2, pp.150- 161, 2011.
[25] J. Mensah, J. R., Oppong, and C. M. Schmidt, Ghana's National Health Insurance Scheme in the context of the health MDGs: An empirical evaluation using propensity score matching. Health economics, vol 19. (S1), pp.95-106.
[26] I. Matuschke, and Qaim, M. The impact of social networks on hybrid seed adoption in India. J. Agricultural Economics, pp.40, no.5, pp.493- 505, 2009.
[27] V. Anosike, and M. Fasona, Gender dimensions of urban commercial farming in Lagos, Nigeria. J.Urban Agriculture Magazine, vol.12, pp.27- 28, 2004
[28] M. Buyinza, and N. Wambede, Extension for agroforestry technology adoption: mixed intercropping of crotolaria (Crotolaria grahamiana) and maize (Zea mays L.) in Kabale district, Uganda. Environmental Research Journal, vol.2.no.3, pp.131-137, 2008.