ANALYSIS OF ADOPTION OF THE N2AFRICA/IITA IMPROVED SOYBEAN PRODUCTION TECHNOLOGIES IN KANO STATE, NIGERIA
PDF

Keywords

Improved Soybean
N2Africa/IITA
Production
Socio-economic Characteristics
Technology Adoption

How to Cite

Tafida, I., & Musa, M. U. (2021). ANALYSIS OF ADOPTION OF THE N2AFRICA/IITA IMPROVED SOYBEAN PRODUCTION TECHNOLOGIES IN KANO STATE, NIGERIA. Journal of Agricultural Economics, Environment and Social Sciences, 7(1), 202-217. Retrieved from http://jaeess.com.ng/index.php/jaeess/article/view/93

Abstract

The study analyzes the adoption of N2AFRICA/IITA improved soybean production
technologies in Kano State, Nigeria. Multi-stage sampling technique was employed to select
142 soybean farmers drawn randomly from the study area. Structured interview schedule was
used for data collection. Data were analyzed using descriptive statistics, logit regression and
Technology Acceptance Model (TAM). The results revealed that majority (82%) of the
respondents were male. The average age and years of farming experience of the respondents
were 47 and 16 years respectively, with mean household size of 12 persons. The logit
regression analysis reveals that age and household size had positive and significant influence
on adoption at 1% (P<0.1). Meanwhile marital status and frequency of extension contact had
positive and significant influence on adoption at 5% (P<0.05). Participation in demonstration
and farming experience had positive and significant influence on adoption at 10% (P<0.01).
The result further revealed that about 67% of the improved soybean production technologies
were adopted by the respondents. Almost all (97.89% and 97.18%) of the respondents had
positive perception that improved soybean production technologies were easy to used and the
technologies were useful as revealed by a mean score of 4.89 and 4.88 respectively. While,
more than half (58.46%) of the respondents indicated positive attitude towards using the
technologies as shown by a mean score of 2.56. Also, all the seven practices demonstrated were
proved to be highly effective with mean score of 4.86. All constraints to adoption were
perceived as highly severe except non-availability of seed, complexity of the technologies, low
yield potential of the varieties and high cost of seed. The study concluded that although, most
of the technologies diffused in the study area were adopted, but there was poor adoption of
phosphate fertilizer inoculants due to non-availability of the inputs. Therefore, provisions of
those inputs are needed for effective technology adoption.

PDF

References

Adebayo, C.O., Coker, A. A. and Tsavhemba, S. (2018). Adoption of Improved Soybean

Production Technologies in Benue State, Nigeria. Nigerian Agricultural Journal,49

(1):65-70.

Adedapo, K.D and Ajibefun, I. A. (2008), Agricultural Economics in the Tropics. International

Journal of Agricultural Economics and Rural Development Oyo State (IJAERD), 70-75

Akpoko, J.G (2015). Development Extension Materials. Department of Agricultural Economics

and Rural Sociology, Ahmadu Bello University Zaria. Unpublished

Bamire, S., Abdoulaye, T., Amaza, P., Tegbaru, A., Alene, A. D. and Kamara, A. Y. (2010).

Impact of Promoting Sustainable Agriculture in Borno (PROSAB) Program on Adoption

of improved Crop Varieties in Borno State of Nigeria. Journal of Food, Agriculture and

Environment,8 (3):391-398

Chikaire, J., Ejiogu-Okereke F. N., &Anyoha N.O (2011). Agricultural Extension: key to

Implementing the Millenium Development Goals in Developing Countries. Continental

Journal of Agricultural Sciences,5(2):36-49.

Dugje, I.Y., L.O. Omoigui, F. Ekeleme, R. Bandyopadhyay, P. Lava Kumar, and A.Y. Kamara.

(2009). Farmers’ Guide to Soybean Production in Northern Nigeria. International

Institute of Tropical Agriculture, Ibadan, Nigeria. 21 pp.

Franke, L. and de Wolf, J. (2011). N2Africa Baseline Report (Milestone Report 1. 4. 2). N2Africa

Report No. 32. www.n2africa.org (cited in Sections 1 and 2).

Halliru, M. (2015). Determinants of Inputs Demand and Adoption of Grain Legumes and

Associated Technologies of N2Africa in Kano State, Nigeria.Un published M. Sc.

Dissertation Submitted to the Department of Agricultural Economics and Extension,

Faculty of Agriculture, Bayero University Kano, Nigeria. 1-96.

Idrisa, Y. L., Ogunbameru, B.O. and Madukwe, M. C. (2012). Logit and Tobit Analysis of the

Determinants of Likelihood of Adoption and Extent of Adoption of Improved Soybean

Seed in Borno State, Nigeria. Greener Journal of Agricultural Sciences,2 (2):37-45.

International Institute of Tropical Agriculture [IITA], (2015). Soybean rust blights crop’s

promising future in Africa, review study shows.

Kamara, A. Y., Kamai, N., Kanampiu, F., Reuben, A., Jajua, M. and Kadafur, I. M. (2018). The

Adoption of Soybean in Northern Nigeria: The Case of Kaduna State. Published by

International Institute of Tropical Agriculture (IITA) Ibadan, Nigeria. ISBN 978-978-131-

-2.37PP.

Kamara, A. Y., Kamai, N., Kanampiu, F., Kamsang, L., Kamara, A. Y. (2018). Gender Analysis

of Soybean Adoption and Impact. International Institute of Tropical Agriculture (IITA),

Ibadan, Nigeria. 57pp.

Kano State Agricultural and rural development Authority (KNARDA) (2018). Annual Reports

Miller, R.L. and Brewer, J.D. (2003). A-Z of social research, SAGE Publication Ltd. London

National Agricultural Transformation [NAT] (2012).” Soybean Value Chain Action Plan”.

National Bureau of Statistics (NBS) (2010). National Manpower Stock and Employment

Generation Survey: Household and Micro-Enterprises (Informal Sector); www.nbs.org.ng.

accessed on 12th April, 2017; p51.

National Population Commission of Nigeria (NPC) (2020). Population Figure. Federal Republic

of Nigeria, National Bureau of Statistics Retrieved from http://www.npc.gov

N2Africa (2012). Nigeria Fieldbook Results 2012.docx: Putting Nitrogen Fixation to Work for

Smallholder Farmers in Africa.

N2Africa (2014) Final Report of the First Phase 2009-2013 Written by Paul Woomer, Jeroen

Huising, Ken Giller With contributions from: Freddy Baijukya, SpecioseKantengwa,

Bernard Vanlauwe, Steven Boahen, Judith de Wolf, Linus Franke, Robert Abaidoo,

MahamadiDianda, Jean Marie Sanginga, Esther Ronner, Greta van den Brand and

Charlotte Schilt

Ojiako, I. A., Manyong, V. M. and Ikpi, A. E. (2007). Determinants of Rural Farmers’ Improved

Soybean Adoption Decisions in Northern Nigeria. Journal of Food, Agriculture and

Environment,5 (2):215-223.

Olarinde, L., Binam, J., Fatunbi, A. O., Diagne, A., Adekunle, A. and Ayanwale, A. (2017).

Participatory Research Demonstration and its Impact on the Adoption of Improved

Agricultural Technologies in the Savannas of West Africa. African Crop Science Journal,

, Issue Supplement: 21 – 41. DOI: http://dx.doi.org/104314/acsj.v25i1.3s

Olofin, E. A. and Tanko, A. I. (2002). Laboratory of Arial Differentiation Metropolitan Kano in

Geographic Perspective. Department of Geography Field Studies Series 1, Bayero

University Kano, Nigeria. Pp10-45.

Saliu, L. A. (2017). Comparative Economic Analysis of Production Efficiency and Risk Attitude

among Small Scale Soybean Farmers in Kaduna and Kano State, Nigeria. Unpublished

PhD Thesis Submitted to the Department of Agricultural Economics and Extension,

Bayero University, Kano, Nigeria. Pp 1-174

United State Agency International Development [USAID] (2016). “Nigeria Early Generation Seed

Study”. Country Report. Pp 51-53.

Woomer, P. L., Huising, J., Giller, K. E. et al. (2014). N2Africa Final Report of the First Phase

-2013, www.N2Africa.org. 138pp.

Downloads

Download data is not yet available.