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Indian Journal of Agricultural Research
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volume 43 issue 4 (december 2009) : 294 - 298
PREDICTION OF ADOPTION OF YAM MINISETT TECHNOLOGY AMONG YAM FARMERS IN RIVERS STATE, NIGERIA
1Department of Agricultural Economics and Extension, Rivers State University of Science and
Technology, P.M.B 5080, Nkpolu-Oroworukwo, Port Harcourt, Nigeria.
ABSTRACT
This study examined the predictive variables of adoption of yam minisett technology
among yam farmers in Rivers State, Nigeria. Multi-stage, cluster, purposive and simple
random sampling methods were used in selecting 252 yam farmers as the sample size
of the study. An interview schedule was used in obtaining data from the respondents.
Results showed that adoption levels were 16.7 per cent for partial adoption, 18.6 percent
for complete adoption and 64.7 per cent for none adoption. Results for test of hypothesis
indicated that, four out of the six tested variables that had significant relationship with
adoption explained about 89.3 percent (R2=0.8926) of the adoption variability of the
respondents. The best predictor of adoption was extension contact, with R2=0.3364
contribution. This was followed by educational level, with R2=0.2440, income, with
R2=0.1805 and farm size, with R2=0.1317. Efforts directed at improving extension contact,
education, income and farm sizes of yam farmers were suggested for a higher adoption
of the minisett technology among these farmers.
among yam farmers in Rivers State, Nigeria. Multi-stage, cluster, purposive and simple
random sampling methods were used in selecting 252 yam farmers as the sample size
of the study. An interview schedule was used in obtaining data from the respondents.
Results showed that adoption levels were 16.7 per cent for partial adoption, 18.6 percent
for complete adoption and 64.7 per cent for none adoption. Results for test of hypothesis
indicated that, four out of the six tested variables that had significant relationship with
adoption explained about 89.3 percent (R2=0.8926) of the adoption variability of the
respondents. The best predictor of adoption was extension contact, with R2=0.3364
contribution. This was followed by educational level, with R2=0.2440, income, with
R2=0.1805 and farm size, with R2=0.1317. Efforts directed at improving extension contact,
education, income and farm sizes of yam farmers were suggested for a higher adoption
of the minisett technology among these farmers.
REFERENCES
- Aniedu, C. (2006). “Proceedings of the 40th Annual Conference of the Agricultural Society of Nigeria, 16th -20th October, 2006, Pp. 215-218.
- Asnani, V. I. (1985). Improved Seed Yam Production Technology. A Report of the International Institute of Tropical Agricultural (IITA), Ibadan, Nigeria, 22 P.
- Benor and Baxer (1984). Training and Visit Extension. World Bank, Washington D. C, U.S.A, 202 P.
- Fliegel, F. C. (1984). In: Swanson B. E. (ed), Agricultural Extension: A Reference Manual. Food and
- Agricultural Organization of the United Nations, Rome, 262p.
- Iwueke, C. O. et al (1985). Rapid Multiplication of Seed Yam by Minisett Technology. Advisory Bulletin, National Root Crop Research Institute, Umudike, Abia State, Nigeria, 5: 98-109.
- Matthew-Njoku, E. C. (2005). “Global Approaches to Extension Practice, 1: 24-30.
- Onwueme, I. C. and Sinha T. D. (1991). Field Crop Production in Tropical Africa. Technical Centre for Agriculture and Rural Co-operation (CTA), The Netherlands, 560 P.
- Otoo, J. A. et al (1987). Improved Technology for Seed Yam Production. International Institute for Tropical Agriculture. Ibadan, Nigeria, 56P.
- Rogers, E. M. (1995). Diffusion of Innovations. The Free Press, 4th edition, New York.
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Copyright :
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In this Article
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Published In
Indian Journal of Agricultural Research