An analysis of socio demographic and agronomic factors associated with adoption of improved mango varieties among small scale farmers in Alego Usonga sub-county

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Research Paper 01/12/2016
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An analysis of socio demographic and agronomic factors associated with adoption of improved mango varieties among small scale farmers in Alego Usonga sub-county

M. O. Oganyo, D. O. Andika, A. O. Watako
J. Bio. Env. Sci.9( 6), 121-134, December 2016.
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Abstract

The adoption of improved mango in Alego Usonga was still low covering an area of 12 Ha out of 47800 Ha of the arable land constituting only 0.025 %. The objective of this study was to determine the agronomic and demographic factors that influence adoption of improved mango varieties in Alego Usonga Sub County. The study adopted a cross sectional design to interview selected mango farmers who adopted planting of improved varieties. The study population was 320 famers witha sample size of 178. The collected data was analyzed using descriptive statistics, binomial regression analysis and chi-square test for inferential statistics at the 5% level of significance to determine differences with the aid of SPSS version 20.0 computer software. These results that were statistically significant and positively influenced improved mango adoption included, The Gender of respondents (OR=2.4;95% CI=(1.3-4.0), p=0.006) occupation(OR=2.5;95%CI=(1.1-5.7),p=0.028), education levels (OR=0.2;95% CI=(0.4-0.9), p=0.043), land ownership type (OR=4.35;95% CI=(2.16-8.78),p=0.010), household size (OR=2.26;95% CI=(1.22-4.21), p=0.0001), soil fertility improvement measures (OR=7.09; 95% CI=[3.5-14.3], p=0.0001), use of manure and inorganic fertilizers (OR=4.4;95% CI=(2.27-8.53), p≤0.0001), location (OR=10;95% CI= (1.6-63.0), p=0.043), (OR=5.8;95% CI=(1.7-20.6), p=0.006) and (OR=3.6;95% CI= (1.3-10.2), p=0.01), time of holes preparation (OR=3.53; 95% CI= [1.87-6.68], p=0.0001) and spacing (OR=5.63; 95% CI= [2.88-11.0], p=0.0001) and source of seedlings (OR=7.82; 95% CI= [1.78-34.45], p=0.007) The study recommends that the stakeholders in mango industry in Siaya County should have a Programme in place focusing on the females farmers; households with young families’ and assist farmers in acquiring land title deeds to increase mango adoption.

VIEWS 17

Alego Usonga Ministry of Agriculture, livestock and Fisheries. 2014. Annual reports, the area of land covered by improved mango variety.

Damisa MA, Samdi R. Yohanna M. 2007. Women participation in Agricultural production in Nigeria.

Farm Management guideline Siaya District. 2012. Gross margin analysis on mango, pgs 36-38.

Farm management handbook of Kenya. 2011, Natural conditions and Farm Management information, vol. 11, 2nd Edition pgs 367-377.

Fashola OO, Oladele OI., Alabi MO, Tologbonse D, Wakatsuki T. 2007. Socioeconomic factors influencing the adoption of sawah rice production technology in Nigeria. Journal of Food, Agriculture & Environment 5(1), 239-242.

Goswan A, Sagar RL. 1994. Factors related with knowledge about feeding of green fodder and concentrates in relation nutritional status Indiana J. Animal health.

IFPRI. 2005. The future of small farms. Proceedings of a research workshop, Wye, UK. International Food Policy Research Institute: Washington DC.

Israel GD. 2009. Determining Sample Size. Program Evaluation and Organizational Development, Institute of Food and Agricultural Sciences (IFAS), University of Florida, Gainesville 32611.

Jama B, Swinkels AR, Buresh JR. 1999. Agronomic and economic evaluation of organic and inorganic resources of phosphorus in Western Kenya.

Josephine Mogere. 2012. Diversification, the way to adapt to climate change, kilimo News.

Kothari-Gaurav R. 2014. Research. Methodology, methods and techniques, 3rd Edition 11. Pg. 127.

Mafuru JR, Kileso H, erkuijl V, Mwangi W, Anandajayaseketram P, Moshi A. 1999. Adoption of maize production of maize technologies in the Lake zone of Tanzania. México D.F international maize and wheat improvement Centre (CIMMYT),the United republic of Tanzania, and the South Africa Centre for cooperation in Agricultural Research (SACCAR).

Maingi. 2008. Kenya Soil Survey, Agro-Ecological Zoning of land.

Ministry of Agriculture annual report. 2014. Alego Usonga Sub County.

Mugenda OM, Mugenda AG. 1999. Research Methods – Quantitative and Qualitative Approaches.

Ndiema AC. 2002. Factors influencing adoption of selected wheat production technologies by farmers in Njoro and Rongai Divisions of Nakuru District, Kenya Msc Thesis, Njoro Kenya: Egerton University.

Orodho JA. 1996. Environmental Education, Children and Women on Focus of Sustainable Development in Kenya. Bureau of Education Research, Kenyatta University. Kenya Journal of Education 6(1), 60-67.

Quaim M. 2000. Women’s Groups in Kenyan Agriculture. Agriculture and Rural Development Journal Vol.7 No.1, April 2000. P. 44-46.

Ralph J, Helmut S, Berthold H, Shisanya C. 1982. Farm management handbook of kenya, volII, Natural Conditions and Farm Management Information, 2nd edition,part A Western Kenya, subpart A2 Nyanza Province.

Rudulp A, Polson and Dunstan S, Spencer C. 1991. ”The Technology Adoption process in subsistence agriculture; the case of cassava southern Nigeria, “in agricultural systems.

Siaya County ministry of Agriculture Livestock and Fisheries. 2013. Annual reports.

Singh LB. 1960. The mango: botany, cultivation and utilization, London: L. Hill.

Singha AK, Baruah MJ, Bordoloi R, Dutta and Saikia US. 2012. Analysis on influencing factors of technology adoption of different land based enterprises of farmers under diversified farming system. Journal of Agricultural Science 4(2), 139-146.

The Siaya County, County Integrated Development Plan. 2013-2017. demographic features pgs 9-10.