Determinants of the Adoption of Quality Protein Maize among Farming Households in Niger State, Nigeria

Author:

Ayinde Opeyemi E.1,Abdoulaye Tahirou2,Ambali Olatunji Y.3,Akinsola Grace O.3

Affiliation:

1. Department of Agricultural Economics and Farm Management , University of Ilorin

2. International Institute of Tropical Agriculture (IITA) , Ibadan

3. Department of Agricultural Economics and Extension Services , Kwara State University

Abstract

Abstract The study was conducted to examine the determinants of quality protein maize (QPM) adoption among farming households in Niger State, Nigeria. A twostage random sampling procedure was employed to obtain data from selected 120 maize farming households. Descriptive statistics, logistic and tobit regression models were used for the analysis. Results of the analysis show that the awareness and adoption level of QPM production in the study area were 95% and 87% respectively. Among the determinants of QPM adoption status, the coefficient of age (-0.12734) and primary occupation (-1.38295) of the respondents were negative and significant at 5% level of probability while the tenancy attribute’s coefficient (2.62533) was positively significant at 10%. The level of adoption of QPM was positively and significantly influenced by household size (0.00729) and years of schooling (0.01148) at 10% and 5% level of significant respectively. The study recommends intensification of information dissemination on the adoption of QPM in the study area.

Publisher

Walter de Gruyter GmbH

Reference9 articles.

1. Ayinde, O.E, Abduolaye T., Olaoye, G., Akangbe, J.A., 2013, Gender and Innovation in Agriculture: A Case Study of Farmers’ Varietal Preference of Drought Tolerant Maize in Southern Guinea Savannah Region of Nigeria. Albanian J. Agric. Sci. (12) 4: 617-625.

2. Emeson, R.O., Nwabu, G. 2006. Extension on FarmYields in Kenya-Center. Discussion paper No.798. (Yale, Economic Growth Centre, Yale University).

3. Graham, G.G., Lembcke, J., Morales, E., 1990, Quality-protein maize as the sole source of dietary protein and fat for rapidly growing young children. Pediatrics 85, 85-91.10.1542/peds.85.1.85

4. Makama, S.D. 2010. 2006 Population and Housing Census, Priority table, NPC, ed. (Abuja, Federal Republic of Nigeria), p. 64.

5. Mwangi M., Kariuki S., 2015, Factors Determining Adoption of New Agricultural Technology by Smallholder Farmers in Developing Countries. Journal of Economics and Sustainable Development 6 (5): 208-216

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