Training Needs of Arable Crop Farmers on Climate- Smart Agricultural Practices in Ekiti State, Nigeria


Authors : Obabire, I. E.; Adeleye, I. A.

Volume/Issue : Volume 9 - 2024, Issue 5 - May

Google Scholar : https://tinyurl.com/muurnnpr

Scribd : https://tinyurl.com/ytd8jp4e

DOI : https://doi.org/10.38124/ijisrt/IJISRT24MAY2326

Abstract : This study examined the training needs of arable crop farmers on climate-smart agricultural practices CSAP in Ekiti State. A three-stage sampling procedure was used to select one hundred and eighty respondents from whom data were elicited using questionnaire, interview schedule and Focus Group Discussions. Data were analyzed using descriptive statistics, Pearson product moment correlation and regression model. The study revealed that majority (72.6%) of the respondents were male farmers, with the mean age of 46.37±12.54 years. They were mostly married (88.8%) and educated (93.9%). The mean household size and annual income were 9.68±8.09 persons and NGN701,550.28±861,081.78, respectively. More than half (53.6%) of the respondents belong to cooperative societies. They mostly accessed information on CSAP through radio (x̄=2.17). Financial constraints (x̄=2.69) was the most severe constraint militating against CSAP. The training need was high among the majority (52.5%) of the farmers. Sources of information (r=0.182, p=0.015), and constraints (r=0.270, p=0.000) were significantly correlated with the training needs of the farmers on CSAP. The regression analysis revealed that farmers’ sources of information (β=0.194 p=0.008) and the constraints militating against CSAP among them (β=0.261, p=0.000) had significant relationships with their training needs. Conclusively, the need for training on climate-smart agricultural practices was high among the arable crop farmers, most especially on integrated pest management and disease control system. Sources of information and constraints significantly predicted the training needs of the arable crop farmers on climate- smart agricultural practices in the study area.

Keywords : Arable Crop Farmers, Climate-Smart Agriculture, Focus Group Discussion, Training Need.

References :

  1. Ayinde, O. E. (2010). Empirical Analysis of Agricultural Production and Climate Change: A Case Study of Nigeria. Journal of Sustainable Development in Africa, 12(6): 345 - 253
  2. Bahn, R.A., Yehya, A. A. K., and Zurayk, R. (2021). Digitalization for sustainable agri-food systems: Potential, status, and risks for the MENA Region. Sustainability 13, 3223. https://doi.org/10.3390/ su13063223
  3. Chitakira, M. and Ngcobo, N.Z.P. (2021). Uptake of climate-smart agriculture in peri-urban areas of South Africa’s economic hub requires up-scaling. Frontier in Sustainable Food Systems. 5 (706738). doi: 10.3389/fsufs.2021.706738.
  4. Cohn, A.S., Newton, P., Gil, J. D. B., Kuhl, L., Samberg, L., Ricciardi V., Manly, J. R., Northrop, S. (2017). Smallholder agriculture and climate change. Annu Rev Environ Resour. 42(1):347–75. https://doi.org/10.1146/annurev-environ-102016-060946.
  5. Cudjoe, G.P.; Antwi-Agyei, P.; Gyampoh, B. A. (2021).The Effect of Climate Variability on Maize Production in the Ejura-Sekyedumase Municipality, Ghana. Climate 9, 145. https://doi.org/10.3390/ cli9100145.
  6. Elum, Z.A., Modise, D.M., Marr, A. (2017). Farmer’s perception of climate change and responsive strategies in three selected provinces of South Africa.  Clim. Risk Manage. 16, 246–257.
  7. Eta, H. C., Idiku, F. O. and Elemi, G. F. (2023). Crop Farmers’ Access to E-information for Climate Smart Agriculture Production, in Cross River State, Nigeria. Journal of Agricultural Extension Vol. 27 (3): 26 – 34.
  8. FAO. The future of food and agriculture – Alternative pathways to 2050. 2018.(p. 228). 
  9. Gabriel, I., Olajuwon, F., Klauser, D., Michael, B. and Renn, M. (2023).  State of climate smart agriculture (CSA) practices in the North Central and Northwest zones Nigeria. CABI Agric Biosci , 4, 33. https://doi.org/10.1186/s43170-023-00156-4.
  10. Ibitoye, O., Ogunyemi, A.I., Ajayi, J.O. (2014). Constraints to climate variability adaption among arable crop farmers in Ekiti state, Nigeria. Paper presented at the annual national conference of Nigerian Association of Agricultural Economists (NAAE). Theme: climate change, agriculture and food security in Nigeria. The Federal University of Technology, Akure. 24th – 27th, February, 2014
  11. Ige, G.O., Akinnagbe, O.M., Odefadehan, O.O., Ogunbusuyi, O.P. (2021). Constraints to Farmers’ Choice of Climate Change Adaptation Strategies in Ondo State of Nigeria. In: Oguge, N., Ayal, D., Adeleke, L., da Silva, I. (eds) African Handbook of Climate Change Adaptation. Springer, Cham. https://doi.org/10.1007/978-3-030-45106-6_103.
  12. IPCC (2019). Climate Change and Land: An IPCC special report on climate change, desertification, land degradation, sustainable land management, food security, and greenhouse gas fluxes in terrestrial ecosystems. 2019. (p. 906).
  13. Musafiri, C.M., Kiboi, M., JMacharia, J., Ng'etich, O.N., David K. Kosgei, D.K., Mulianga, B., Michael Okoti, M. and Ngetich, F.K. (2022). Adoption of climate-smart agricultural 34 practices among smallholder farmers in Western Kenya: Do socioeconomic, institutional, and biophysical factors matter? https://doi.org/10.1016/j.heliyon.2021.e08677
  14. Obabire, I. E., Jimoh, A. S., Oyewusi, I. K., Omotayo, F. S. and Koyenika, O. O.(2021). Adaptation Strategies to Mitigate the Effects of Climate Variability on the Production Practices of Maize Farmers in Ikole Local Government Area of Ekiti State, Nigeria. Proceedings of 13th Engineering Forum, held at the School of Engineering, the Federal Polytechnic, Ado-Ekiti, Nigeria between 11th – 14th October, 2021. Pp 366-373.
  15. Onoja, A.O., Abraha, A. A., Girma, A., Achike, A. I. (2019). Climate-Smart Agricultural Practices (CSA) adoption by Crop Farmers in semi-arid regions of West and East Africa: evidence from Nigeria and Ethiopia. In: Castro P, Azul A, Leal Filho W, Azeiteiro U, editors. Climate change-resilient agriculture and agroforestry. Berlin: Springer; 2019.
  16. Opeyemi, G., Opaluwa, H.I., Adeleke, A.O., and Ugbaje, B. (2021). Effect of climate smart agricultural practices on farming householdsʹ food security status in Ika north east local government area, Delta State,Nigeria. Journal of Agriculture and Food Sciences,19 (2):30-42.
  17. Waaswa, A., Nkurumwa, A. O., Kibe, A.M., and Kipkemoi, N .J. (2021). Communicating climate change adaptation strategies: Climate-smart agriculture information dissemination pathways among smallholder potato farmers in Gilgil Sub-County, Kenya. Heliyon. 7(8):e07873. Doi:10.1016/j.heliyon.2021.e07873.
  18. World Bank (2021). Climate-smart agriculture. http://www.worldbank.org/en/topic/climate-smartagriculture.

This study examined the training needs of arable crop farmers on climate-smart agricultural practices CSAP in Ekiti State. A three-stage sampling procedure was used to select one hundred and eighty respondents from whom data were elicited using questionnaire, interview schedule and Focus Group Discussions. Data were analyzed using descriptive statistics, Pearson product moment correlation and regression model. The study revealed that majority (72.6%) of the respondents were male farmers, with the mean age of 46.37±12.54 years. They were mostly married (88.8%) and educated (93.9%). The mean household size and annual income were 9.68±8.09 persons and NGN701,550.28±861,081.78, respectively. More than half (53.6%) of the respondents belong to cooperative societies. They mostly accessed information on CSAP through radio (x̄=2.17). Financial constraints (x̄=2.69) was the most severe constraint militating against CSAP. The training need was high among the majority (52.5%) of the farmers. Sources of information (r=0.182, p=0.015), and constraints (r=0.270, p=0.000) were significantly correlated with the training needs of the farmers on CSAP. The regression analysis revealed that farmers’ sources of information (β=0.194 p=0.008) and the constraints militating against CSAP among them (β=0.261, p=0.000) had significant relationships with their training needs. Conclusively, the need for training on climate-smart agricultural practices was high among the arable crop farmers, most especially on integrated pest management and disease control system. Sources of information and constraints significantly predicted the training needs of the arable crop farmers on climate- smart agricultural practices in the study area.

Keywords : Arable Crop Farmers, Climate-Smart Agriculture, Focus Group Discussion, Training Need.

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe