SOCIO-ECONOMIC ANALYSIS OF THE ADOPTION OF SELECTED IMPROVED SOYBEAN (Glycine max) VARIETIES IN TOFA LOCAL GOVERNMENT AREA OF KANO STATE, NIGERIA
DOI:
https://doi.org/10.33003/jaat.2022.0801.079Keywords:
ADOPTION, VARIETIES, LOGIT REGRESSION, SOCIO-ECONOMIC, FARMERSAbstract
Adoption of improved production practices is the key to higher production of crops by farmers. The technical knowledge of farmers appears to be the key link to higher level of adoption. This study aimed at socio-economic analysis of the adoption of improved soybean (Glycine max) varieties in Tofa local government area of Kano state. Multistage sampling technique was used to select 98 soybean farmers; which were interviewed with the use of structured questionnaire. Descriptive statistics and logit regression model were used for data analysis. The finding of the study revealed that majority of the farmers were males (99%) and married (96.9%) that have 1hectare farm size average devoted for soybean production and 43% of them have farming as their major occupation also about 81% of them have different levels of formal education. Adoption level of soybean varieties was on the average for the two varieties in the study area, the socioeconomic factors that positively affected the adoption of the TGX-1448-2E Soybean variety were income level (P < 0.1), farm size (P < 0.05), and extension contact (P < 0.1). While for TGX-1448-2E Soybean variety none of the socio-economics factors were significant, Improved soybean variety adoption was due to the major characteristics of the variety, however major constraint’s to both varieties technology adoption include high cost of labor and inputs. Hence, improving farmer’s access to financial support or credit will enhance soybean adoption in the study area.
References
Abdullahi, A. (2004). Soybean production. Meiden edition, Raw materials research and development council (RMRDC), Nigeria pp.37
Dauda, S., Okwoche, V.S., & Adegboye, O. G. (2009). Role of youth in Agricultural development in makurdi local government area in benue state. Journal in agriculture extension. 13(2), 107-112.
FAOSTAT (2021). Food and agriculture organization of the United Nations. Production dataset. http://faost at3.fao.2021.
Idrisa, Y. I., Ogunbbameru, N. O., & Amaza, P. S. (2010). Influence of farmers socio-economic and technological characteristics on soybean seed technology adoption in southern Borno State Nigeria. Agro Science Journal of Tropical Agriculture, Food, Environment and Extension, 9(3), 209- 214
Kamara, A. Y., Oyinbo, O., Manda, J., Kamsang, L. S., & Kamai, N. (2022). Adoption of improved soybean and gender differential productivity and revenue impacts: Evidence from Nigeria. Food and Energy Security, 00, e385. https://doi.org/10.1002/fes3.385.
Kibwika, P., & Semana A.R. (2002). A challenge of supporting youth for sustainable agricultural development and rural livelihood in Elijah. An unpublished Bachelor of Agriculture degree project, Department of Agricultural economics and rural sociology, Ahmadu Bello University, Zaria.
Mahama, A., Awuni, J. A., Mabe, F. N., & Azumah, S. B. (2020). Modelling adoption intensity ofimproved soybean produc-tion technologies in Ghana: A generalized Poisson approach. Heliyon, 6(3), e03543. https://doi.org/10.1016/j.heliyon.2020.e03543.
Misari, S.S and Idowu, A. A (1995). Soybean in Nigeriaan Agriculture and strategies for sustainable production. A paper presented at 16th Annual conference of Nigeria Soybean Associaton.
Mustapha, S. B., Makinta, A. A., Zongoma, B. A., & Iwan, A. S. (2012): “Socio-Economic Factors Affecting Adoption of Soya Bean Production Technologies in Takum Local Government Area of Taraba State, Nigeria”, Asian Journal Agriculture and Rural Development, 2(2), 271-276.
Naing, K. W., & Praderm, C. (2009). Farmers adoption of improved technological knowledge on soybean production in northern shan state Area, Myanmar Kasetsart Journal of Social Science 30(1), 227-238
National Bureau of statatistics [NBS] (2017). Demographic Statistics bulletin May, 2018.
Ogundari, K., Ojo, S. O., & Ajibefun, I. A. (2006). Economies of scale and cost efficiency of small scale maize production: empirical evidence from Nigeria. Journal of Social Sciences, 13(2), 131-136.
Omotayo A. M., Olowe V. I., Fabusero, J. M., & Babajide, D. K. (2007). Commercial demand for soybean in Nigeria, ProPcom making Nigerian Agricultural Markets work for poor. Mongraph series 29 pg.
Oriole, E. C. (2009). A framework for food security and poverty reduction in Nigeria. European Journal of Social Sciences, 8(1), 37-43.
Rasaki, W. A., Olojede, M. O., Omotoso, A. B., & Sulaimon, I. O. (2020). Economic analysis of soybean production in Ibarapa Zone of Oyo State, Nigeria. Journal of Underutilized Legumes. 2 (1), 33 – 42.
Ronner, E., Franke, A. C., Vanlauwe, B., Dianda, M., Edeh, E., Ukem, B., Bala, A., Heerwaarden, J., & Giller, K. E. (2016). Understanding variability in soybean yield and response to P- fertilizer and rhizobium inoculants on farmers’ fields in northern Nigeria. Field Crops Research, 186(1), 133–145. https://doi.org/10.1016/j.fcr.2015.10.023
Shalma H. J. (2014). Economic Analysis of Soya Bean Production Under Sasakawa Global 2000 Project in Kaduna State, Nigeria. Unpublished Master’s degree Thesis, Department of Agricultural Economics and Extension Ahmadu Bello University Zaria.
Tesfay W. (2019). Analyses of Factors Determine the Rate and Level of Improved Soybean Variety Adoption Under Smallholder Farmers in North Western Ethiopia. Journal of Economics and Sustainable Development.10(23), 23-34.
Ugbabe, O. O., Abdoulaye, T., Kamara, A., Mbavai, J. , & Oyinbo, O. (2017). Profitability and technical efficiency of soybean produc-tion in Northern Nigeria. Tropicultura, 35(1), 203– 214.
USDA (1934). United State department of Agriculture, office of information , Radio Service. Housekeeperss chat 9-12-34
Vanlauwe, B., Coe, R. I. C., & Giller, K. E. (2019). Beyond averages: New approaches to understand heterogeneity and risk oftech-nology success or failure in smallholder farming. Experimental Agriculture, 55, 84– 106.
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