The Impact of the Adoption of Dixon Cassava Variety on the Poverty Status and Sustainable Welfare of Smallholder Farmers in Oyo State, Nigeria
Year 2025,
Volume: 8 Issue: 6, 861 - 867, 15.11.2025
Oluwaseun Joseph Taiwo
,
Olumide Abiodun Olasupo
,
Eniola Elijah Akindele
,
Samuel Igbatayo
,
Olufemi Gabriel Dayo-Olagbende
Abstract
This study evaluates the impact of the adoption of the Dixon cassava variety on the poverty and sustainable welfare of smallholder farmers in Oyo State, Nigeria. Using the multi-stage sampling procedure, a total of 240 respondents were selected, and responses were collected in 2024 using primary data The descriptive statisitics, probit regression, Foster-Greer-Thorberke (FGT), and the Endogenous Switching Regression (ESR) models were used in the analytical stage. Determinants such as contact with extension agents, cost of planting, household size, and years of education positively inflences the adoption of the Dixon cassava variety while farm size and farm experience negatively influences its adoption. Results of the Endogenous Switching regression model at a significant level of 1% shows that the Dixon cassava variety reduces poverty by a 10.72% point in adopters compared to non-adopters. To improve cassava farmers’ welfare, the study recommends enhancing extension services, providing subsidies for planting materials, and implementing education and awareness programs to promote adoption benefits.
Ethical Statement
Ethics committee approval was not required for this study because there was no study on animals or humans.
References
-
Adesina A, Baidu-Forson A.1995. Farmers’ perception and adoption of new agricultural technology: Evidence from analysis in Burkina Faso and Guinea, West Africa. Agric Econ, 13: 1-9.
-
Adetula AI, Amos TT, Oparinde LO. 2020. Analysis of improved cassava varieties’ cultivation and downside risk exposure among farmers in Ondo State, Sci Paper Ser Manag Econ Eng Argi Rural Devel, 20(3): 33-44.
-
Adewole OS, Falusi AO, Adebiyi OT, Ayinde OE. 2019. Impact of adoption of improved cassava variety (TMS 01/1412) on household food security in Oyo State, Nigeria. 6th African Conference of Agricultural Economists, September 23-26, Abuja, Nigeria, pp: 1-17.
-
Adjognon SG, Liverpool-Tasie LSO, Reardon TA. 2017. Agricultural input credit in Sub-Saharan Africa: Telling myths from facts. Food policy, 67: 93-105.
-
Akintayo JB, Olomojobi OT, Adetola AS. 2024. Perceived influence of communication strategies on agricultural technologies utilization among farmers in Nigeria: A study of Nihort adopted village and school. NIU J Social Sci, 10(1): 135-142.
-
Bakker T, Dugué P, De Tourdonnet S. 2021. Assessing the effects of farmer field schools on farmers’ trajectories of change in practices. Agron Sustainable Dev, 41(2): 18.
-
Bello LO, Baiyegunhi LJ, Danso-Abbeam G. 2021. Productivity impact of improved rice varieties’ adoption: case of smallholder rice farmers in Nigeria. Econ Innovation New Technol, 30(7): 750-766.
-
De Rosa M, Bartoli L, Charatsari C, Lioutas E. 2020. Knowledge transfer and innovation adoption in women farmers. British Food J, 123(1): 317-336.
-
Eze EU, Osuji EE, Enyia CO, Nwose RN, Ugochukwu GU, Tim-Ashama AC, Nwaizuzu-Daniel JC. 2023. Efficiency of marketing systems of cassava in Southeast, Nigeria. Emerging Issues Agri Sci, 6: 45-50.
-
Fadeyi OA, Ariyawardana A, Aziz AA. 2022. Factors influencing technology adoption among smallholder farmers: a systematic review in Africa. J Agric Rural Dev Trop Subtrop, 123(1): 13-30.
-
FAO. 2022. Data on cassava production. URL: https://www.fao.org/faostat/en/#data/QCL/visualize (accessed date: April 16, 2025).
-
FAO. 2024. Agricultural production statistics 2020-2023. URL: https://www.fao.org/statistics/en (accessed date: May 02, 2025)
-
Köcke S. 2019. The perception of cassava in Malawi: A literature study about a root crop’s implication on food security in the past and the present. MSc Thesis, Uppsala Univ, Archaeol Ancient History, Upsala, Sweden, pp:77.
-
Kolapo A, Didunyemi AJ. 2024. Effects of exposure on adoption of agricultural smartphone apps among smallholder farmers in Southwest, Nigeria: Implications on farm-level-efficiency. Agric Food Secur, 13(1): 31.
-
Lawal KF. 2023. Perceived effectiveness of public extension services among maize based smallholder farmers in Kwara State, Nigeria. MSc Thesis: Kwara State Univ, Kwara, Nigeria, pp: 24.
-
Lawal OM. 2022. Towards healthier staples: Yellow cassava pasta fortified with African leafy vegetables. URL: https://search.proquest.com/openview/c13e70e7831bf72800608b15c2d0d14a/1?pq origsite=gscholar&cbl=2026366&diss=y&casa_token=n7WFHiqEFFkAAAAA:7B71IzgeLFzXZe5cEhse2Ft2CHyLdqLCah5qTlQ9LJg2ZhQysQ1FXNBVc9BfVVDiDiv0TOKMbtw (accessed date: May 05, 2025).
-
Massresha SE, Lema TZ, Neway MM, Degu WA. 2021. Perception and determinants of agricultural technology adoption in north shoa zone, Amhara regional state, Ethiopia. Cogent Econ Finance, 9(1): 1956774.
-
Mutungi C, Manda J, Feleke S, Abass A, Bekunda M, Hoschle-Zeledon I, Fischer G. 2023. Adoption and impacts of improved post harvest technologies on food security and welfare of maize farming households in Tanzania: a comparative assessment. The Int Soc Plant Pathol,15(4): 1007-1023.
-
Ogunleye A, Akinloye MO, Kehinde A, Ajayi OM, Wongnaa CA 2024. Impact of credit constraints on adoption of risk management strategies and income of maize farmers in northern Nigeria. Agric Finance Rev, 84(2-3): 114-142.
-
Ojeniyi K, Ngonidzashe C, Devkota K, Madukwe D. 2024. Optimizing split-fertilizer applications for enhanced maize yield and nutrient use efficiency in Nigeria's Middle-belt. Heliyon, 10(19): 1-18.
-
Ojo TO, Baiyegunhi LJ, Adetoro AA, Ogundeji AA. 2021. Adoption of soil and water conservation technology and its effect on the productivity of smallholder rice farmers in Southwest Nigeria. Heliyon, 7(3): 6-9.
-
Ojoko EA. 2021. Climate-Smart agricultural practices. Productivity and food security status of arable farming households in North-Western Nigeria. PhD Thesis: University of Ibadan, Ibadan, Nigeria, pp:162.
-
Olusayo O, Adebayo O, Kayode SK, Olagunju K, Ayodeji I, Ogundipe AA. 2019. Small-scale farming, agricultural productivity and poverty reduction in Nigeria: The enabling role of agricultural technology adoption. J Agri Ecol Res Int, 19(1): 1-15.
-
Onyediako PO, Adiele JG. 2022. Enhanced cassava production for food security and economic development in Nigeria: a review. Nigeria Agri J, 53(3): 204-211.
-
Peprah BB. 2020. Genetic improvement of beta carotene in cassava (Manihot esculenta Crantz) landraces. PhD thesis: University of the Free State. Inst Nat Agric Sci, pp. 175.
-
Reddy R. 2022. Innovations in agricultural machinery: Assessing the impact of advanced technologies on farm efficiency. J Artif Int Big Data, 2(1): 10-18. https://doi.org/10.31586/jaibd.2022.1156
-
Sanya LN, Sseguya H, Kyazze FB, Diiro GM, Nakazi F. 2020. The role of variety attributes in the uptake of new hybrid bananas among smallholder rural farmers in central Uganda. Agri Food Secur, 9: 1-13.
-
Sasa S, Adebayo E, Maurice D. 2022. Constraints to women participation in agriculture and economic development in Nigeria: A review. Constraints, 8(5): 72-80.
-
Sinyolo S. 2020. Technology adoption and household food security among rural households in South Africa: The role of improved maize varieties. Technol Soc, 60: 101214.
-
Uzochukwu UV, Mgbedike NG, Chukwujekwu OA. 2021. Adoption of improved cassava production technologies among small-scale farmers in Anambra State, Nigeria. J Plant Sci, 9(4): 119-127.
-
Wordofa MG, Hassen JY, Endris GS, Aweke CS, Moges DK, Rorisa DT. 2021. Adoption of improved agricultural technology and its impact on household income: a propensity score matching estimation in eastern Ethiopia. Agric Food Sec, 10: 5.
-
World Population Review 2024. URL: https://worldpopulationreview.com/country-rankings/cassava-production-by-country. (accessed date: April 05, 2025)
-
Zegeye MB, Meshesha GB, Shah MI. 2022. Measuring the poverty reduction effects of adopting agricultural technologies in rural Ethiopia: findings from an endogenous switching regression approach. Heliyon, 8(5): e09495.
The Impact of the Adoption of Dixon Cassava Variety on the Poverty Status and Sustainable Welfare of Smallholder Farmers in Oyo State, Nigeria
Year 2025,
Volume: 8 Issue: 6, 861 - 867, 15.11.2025
Oluwaseun Joseph Taiwo
,
Olumide Abiodun Olasupo
,
Eniola Elijah Akindele
,
Samuel Igbatayo
,
Olufemi Gabriel Dayo-Olagbende
Abstract
This study evaluates the impact of the adoption of the Dixon cassava variety on the poverty and sustainable welfare of smallholder farmers in Oyo State, Nigeria. Using the multi-stage sampling procedure, a total of 240 respondents were selected, and responses were collected in 2024 using primary data The descriptive statisitics, probit regression, Foster-Greer-Thorberke (FGT), and the Endogenous Switching Regression (ESR) models were used in the analytical stage. Determinants such as contact with extension agents, cost of planting, household size, and years of education positively inflences the adoption of the Dixon cassava variety while farm size and farm experience negatively influences its adoption. Results of the Endogenous Switching regression model at a significant level of 1% shows that the Dixon cassava variety reduces poverty by a 10.72% point in adopters compared to non-adopters. To improve cassava farmers’ welfare, the study recommends enhancing extension services, providing subsidies for planting materials, and implementing education and awareness programs to promote adoption benefits.
Ethical Statement
Ethics committee approval was not required for this study because there was no study on animals or humans.
References
-
Adesina A, Baidu-Forson A.1995. Farmers’ perception and adoption of new agricultural technology: Evidence from analysis in Burkina Faso and Guinea, West Africa. Agric Econ, 13: 1-9.
-
Adetula AI, Amos TT, Oparinde LO. 2020. Analysis of improved cassava varieties’ cultivation and downside risk exposure among farmers in Ondo State, Sci Paper Ser Manag Econ Eng Argi Rural Devel, 20(3): 33-44.
-
Adewole OS, Falusi AO, Adebiyi OT, Ayinde OE. 2019. Impact of adoption of improved cassava variety (TMS 01/1412) on household food security in Oyo State, Nigeria. 6th African Conference of Agricultural Economists, September 23-26, Abuja, Nigeria, pp: 1-17.
-
Adjognon SG, Liverpool-Tasie LSO, Reardon TA. 2017. Agricultural input credit in Sub-Saharan Africa: Telling myths from facts. Food policy, 67: 93-105.
-
Akintayo JB, Olomojobi OT, Adetola AS. 2024. Perceived influence of communication strategies on agricultural technologies utilization among farmers in Nigeria: A study of Nihort adopted village and school. NIU J Social Sci, 10(1): 135-142.
-
Bakker T, Dugué P, De Tourdonnet S. 2021. Assessing the effects of farmer field schools on farmers’ trajectories of change in practices. Agron Sustainable Dev, 41(2): 18.
-
Bello LO, Baiyegunhi LJ, Danso-Abbeam G. 2021. Productivity impact of improved rice varieties’ adoption: case of smallholder rice farmers in Nigeria. Econ Innovation New Technol, 30(7): 750-766.
-
De Rosa M, Bartoli L, Charatsari C, Lioutas E. 2020. Knowledge transfer and innovation adoption in women farmers. British Food J, 123(1): 317-336.
-
Eze EU, Osuji EE, Enyia CO, Nwose RN, Ugochukwu GU, Tim-Ashama AC, Nwaizuzu-Daniel JC. 2023. Efficiency of marketing systems of cassava in Southeast, Nigeria. Emerging Issues Agri Sci, 6: 45-50.
-
Fadeyi OA, Ariyawardana A, Aziz AA. 2022. Factors influencing technology adoption among smallholder farmers: a systematic review in Africa. J Agric Rural Dev Trop Subtrop, 123(1): 13-30.
-
FAO. 2022. Data on cassava production. URL: https://www.fao.org/faostat/en/#data/QCL/visualize (accessed date: April 16, 2025).
-
FAO. 2024. Agricultural production statistics 2020-2023. URL: https://www.fao.org/statistics/en (accessed date: May 02, 2025)
-
Köcke S. 2019. The perception of cassava in Malawi: A literature study about a root crop’s implication on food security in the past and the present. MSc Thesis, Uppsala Univ, Archaeol Ancient History, Upsala, Sweden, pp:77.
-
Kolapo A, Didunyemi AJ. 2024. Effects of exposure on adoption of agricultural smartphone apps among smallholder farmers in Southwest, Nigeria: Implications on farm-level-efficiency. Agric Food Secur, 13(1): 31.
-
Lawal KF. 2023. Perceived effectiveness of public extension services among maize based smallholder farmers in Kwara State, Nigeria. MSc Thesis: Kwara State Univ, Kwara, Nigeria, pp: 24.
-
Lawal OM. 2022. Towards healthier staples: Yellow cassava pasta fortified with African leafy vegetables. URL: https://search.proquest.com/openview/c13e70e7831bf72800608b15c2d0d14a/1?pq origsite=gscholar&cbl=2026366&diss=y&casa_token=n7WFHiqEFFkAAAAA:7B71IzgeLFzXZe5cEhse2Ft2CHyLdqLCah5qTlQ9LJg2ZhQysQ1FXNBVc9BfVVDiDiv0TOKMbtw (accessed date: May 05, 2025).
-
Massresha SE, Lema TZ, Neway MM, Degu WA. 2021. Perception and determinants of agricultural technology adoption in north shoa zone, Amhara regional state, Ethiopia. Cogent Econ Finance, 9(1): 1956774.
-
Mutungi C, Manda J, Feleke S, Abass A, Bekunda M, Hoschle-Zeledon I, Fischer G. 2023. Adoption and impacts of improved post harvest technologies on food security and welfare of maize farming households in Tanzania: a comparative assessment. The Int Soc Plant Pathol,15(4): 1007-1023.
-
Ogunleye A, Akinloye MO, Kehinde A, Ajayi OM, Wongnaa CA 2024. Impact of credit constraints on adoption of risk management strategies and income of maize farmers in northern Nigeria. Agric Finance Rev, 84(2-3): 114-142.
-
Ojeniyi K, Ngonidzashe C, Devkota K, Madukwe D. 2024. Optimizing split-fertilizer applications for enhanced maize yield and nutrient use efficiency in Nigeria's Middle-belt. Heliyon, 10(19): 1-18.
-
Ojo TO, Baiyegunhi LJ, Adetoro AA, Ogundeji AA. 2021. Adoption of soil and water conservation technology and its effect on the productivity of smallholder rice farmers in Southwest Nigeria. Heliyon, 7(3): 6-9.
-
Ojoko EA. 2021. Climate-Smart agricultural practices. Productivity and food security status of arable farming households in North-Western Nigeria. PhD Thesis: University of Ibadan, Ibadan, Nigeria, pp:162.
-
Olusayo O, Adebayo O, Kayode SK, Olagunju K, Ayodeji I, Ogundipe AA. 2019. Small-scale farming, agricultural productivity and poverty reduction in Nigeria: The enabling role of agricultural technology adoption. J Agri Ecol Res Int, 19(1): 1-15.
-
Onyediako PO, Adiele JG. 2022. Enhanced cassava production for food security and economic development in Nigeria: a review. Nigeria Agri J, 53(3): 204-211.
-
Peprah BB. 2020. Genetic improvement of beta carotene in cassava (Manihot esculenta Crantz) landraces. PhD thesis: University of the Free State. Inst Nat Agric Sci, pp. 175.
-
Reddy R. 2022. Innovations in agricultural machinery: Assessing the impact of advanced technologies on farm efficiency. J Artif Int Big Data, 2(1): 10-18. https://doi.org/10.31586/jaibd.2022.1156
-
Sanya LN, Sseguya H, Kyazze FB, Diiro GM, Nakazi F. 2020. The role of variety attributes in the uptake of new hybrid bananas among smallholder rural farmers in central Uganda. Agri Food Secur, 9: 1-13.
-
Sasa S, Adebayo E, Maurice D. 2022. Constraints to women participation in agriculture and economic development in Nigeria: A review. Constraints, 8(5): 72-80.
-
Sinyolo S. 2020. Technology adoption and household food security among rural households in South Africa: The role of improved maize varieties. Technol Soc, 60: 101214.
-
Uzochukwu UV, Mgbedike NG, Chukwujekwu OA. 2021. Adoption of improved cassava production technologies among small-scale farmers in Anambra State, Nigeria. J Plant Sci, 9(4): 119-127.
-
Wordofa MG, Hassen JY, Endris GS, Aweke CS, Moges DK, Rorisa DT. 2021. Adoption of improved agricultural technology and its impact on household income: a propensity score matching estimation in eastern Ethiopia. Agric Food Sec, 10: 5.
-
World Population Review 2024. URL: https://worldpopulationreview.com/country-rankings/cassava-production-by-country. (accessed date: April 05, 2025)
-
Zegeye MB, Meshesha GB, Shah MI. 2022. Measuring the poverty reduction effects of adopting agricultural technologies in rural Ethiopia: findings from an endogenous switching regression approach. Heliyon, 8(5): e09495.