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Mitigation Measures Adopted by Small Scale Maize Farmers to the Effects of Rainfall Variability on Maize Production

Maiyo Jonah Kiprono Daniel Nyantika George Tom Ekisa

Subject area: Science,Engineering and Technology  ·  Area of research: Geography

Abstract

Small-scale maize farmers often face challenges due to rainfall variability, which can impact maize production. To mitigate the effects of such variability, farmers adopt various measures to enhance resilience and improve overall productivity. It is on this premise that this study sought to establish the intervention strategies among the small-scale farmers in Endebess Sub County between 2008-2018. The study was based on 330 maize farmers in wards namely; Chepchoina, Matumbei and Endebess. Primary data was obtained from randomly selected farmers through questionnaires, while secondary data on rainfalls and maize production yields was collected from Kitale Meteorological Departments and Endebess Sub-County Ministry of Agriculture offices respectively between 2008-2018. The data collected was analyzed using Statistical Package for Social Sciences version 22 and Precipitations Concentration Index (PCI) values. The finding found that there was a positive relationship between rainfall variability and maize yields. The County government should put measures and policies that are aimed at protecting the forest cover. Forests help reduce the amount of carbon gas in the atmosphere, which is the main cause of climate change that normally led to rainfall variability effects. The related problems of rainfall anomalies are food insecurity, reduction of yield and increase of pest and diseases.

Keywords

Intervention Measure, Maize Production

References

[1] Adger, W. N. (2006). Vulnerability. Global Environmental Change, 16, 268-281. http://dx.doi.org/10.1016/j.gloenvcha.2006.02.006

[2] Baethgen, Walter & Meinke, Holger & Giménez, Agustin. (2003). Adaptation of agricultural production systems to climate variability and climate change: lessons learned and proposed research approach.

[3] Bryan E (2013) Adaptating Agriculture to climate change in Kenya, Household and strategies and determine journal environment manage 114”26-35 htt//dolorg/10:1016

[4] FAO (2014). The state of food and Agriculture; climate change, Agriculture and food security Food and Agriculture of the United Nations.

[5] FAO, (2008). Climate Change Adaptations and mitigation challenges and opportunities for food security high level of conferences proceedings Rome 3-5 June 2008.

[6] Hoang M.S., & Van Noordimjk, D. Catacutans; L.Obora, A, (2014).Farmers portfolios Strategies Diversity Managements and Climate Change Adaptations: Implications for policy in Vietnam and Kenya. Climate and Development, 6(3), 26 - 225.

[7] Huho, J. M., Ngaira, J. K. Ogindo, H. O., & Masayi. W. (2012). The changing rainfall patterns and associated impacts on Subsistence Agriculture in Laikipia East District Kenya.Journal of Geography and Regional Planning, 5 (7), 198 – 206.

[8] Idrisa, Y. L. Ogun Bameru, B. O., Amaza, P. S. (2010). Influence of farmers socio-economic and technology characteristic on Soya beans seeds technology adaptation in Southern Borno State. Nigeria African journal of Africa Research, 5(12) 1934 -1938.

[9] IPCC, (2001). Climate Changes Synthesis report on Assessments of intergovernmental Panel on Climate Change. Cambridge University Press. Cambridge

[10] Lema, M.A. and Majule, A.E. (2009) Impacts of Climate Change, Variability and Adaptation Strategies on Agriculture in Semi-Arid Areas of Tanzania: The Case of Manyoni District in Singida Region, Tanzania. African Journal of Environmental Science and Technology, 3, 206-218.

[11] Low, P. (2005). Climate Change in Africa. New York. Cambridge University.

[12] Majule A. E. Mary, & A. L. (2009). Impacts of Climate Changes variability and Adaptations. Strategies on Agriculture in Semi-arid of Tanzania. The Case of Mayoni District Insingida Region Tanzania Africa. Journal of Environmental Science Technology, (8) 206 – 218.

[13] Mendelsohn, R, (2008). The impact of climate change on Agriculture in Developing countries Yale University, New Haven, CT USA

[14] Muga, M. (2010). Climate change. A major challenge and Revelations for E.A. National. Journal on resources, reflection and discourse for sustainable development, 32, 2016.

[15] Ndathi, A., Nyangito, M., Musimba, N., & Mitaru, B. N. (2011). Climate variability and dry season ruminant livestock feeding strategies in South Eastern Kenya. Livestock Research for Rural Development. 23.

[16] Ngigi, S. N. (2009). Climate variability adaptations strategies. water resources managements option for smallholders farming systems in Sub-Saharan Africa. The MDG Centre for East and Southern Africa. The earth institutes at Columbia University. New York.

[17] Nhemachena, C., & Hassan, R. (2007). Micro-level Analysis of Farmers Adaptation to Climate change in Southern Africa. IFPRI Discussion Paper 00714.

[18] Orindi, V. A. & Erikseen S. (2005). Main streaming Adaptations to Climate Change in the development Process in Uganda. Eco policy series No. 15 African Centre of Technology Studies, Nairobi Kenya.

[19] Parry, M. L., Caniziani, O. R., Palutikof, J. P. (2007). Impacts adaptations and vulnerability contributions working groups 11 to the fourth assessment reports of Intergovernmental Report 7 on panel on climate change concept issue, Assessment method.

[20] Selvanju, R., Subbiah A. R. Baas. S. & Nergens. L. (2006). Livelihood adaptations to climate variability and change in drought – prone areas of Bangladesh, Food and Agriculture Organization (FAO).

[21] UNEP (2009). Global environmental outlook; United Nation Africa Environmental Programme, Nairobi, Kenya.

[22] UNEP, (2010). Climate change Adaptation and mitigation; What organization are doing institute for law and environment. Governance Nairobi- Kenya.

How to cite this paper

Maiyo Jonah Kiprono, Daniel Nyantika, George Tom Ekisa "Mitigation Measures Adopted by Small Scale Maize Farmers to the Effects of Rainfall Variability on Maize Production" Iconic Research And Engineering Journals Volume 8 Issue 3 2024 Page 8-12
Maiyo Jonah Kiprono, Daniel Nyantika, George Tom Ekisa "Mitigation Measures Adopted by Small Scale Maize Farmers to the Effects of Rainfall Variability on Maize Production" Iconic Research And Engineering Journals, vol. 8, no. 3, Sep. 2024
Maiyo Jonah Kiprono, Daniel Nyantika, George Tom Ekisa (2024). Mitigation Measures Adopted by Small Scale Maize Farmers to the Effects of Rainfall Variability on Maize Production. Iconic Research And Engineering Journals, 8(3).
Maiyo Jonah Kiprono, Daniel Nyantika, George Tom Ekisa "Mitigation Measures Adopted by Small Scale Maize Farmers to the Effects of Rainfall Variability on Maize Production" Iconic Research And Engineering Journals, vol. 8, no. 3, Sep. 2024.
@article{1706228,
      author = {Maiyo Jonah Kiprono, Daniel Nyantika, George Tom Ekisa},
      title = {Mitigation Measures Adopted by Small Scale Maize Farmers to the Effects of Rainfall Variability on Maize Production},
      journal = {Iconic Research And Engineering Journals},
      year = {2024},
      volume = {8},
      number = {3},
      pages = {8-12},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1706228.pdf},
      abstract = {Small-scale maize farmers often face challenges due to rainfall variability, which can impact maize production. To mitigate the effects of such variability, farmers adopt various measures to enhance resilience and improve overall productivity.  It is on this premise that this study sought to establish the intervention strategies among the small-scale farmers in Endebess Sub County between 2008-2018. The study was based on 330 maize farmers in wards namely; Chepchoina, Matumbei and Endebess. Primary data was obtained from randomly selected farmers through questionnaires, while secondary data on rainfalls and maize production yields was collected from Kitale Meteorological Departments and Endebess Sub-County Ministry of Agriculture offices respectively between 2008-2018. The data collected was analyzed using Statistical Package for Social Sciences version 22 and Precipitations Concentration Index (PCI) values. The finding found that there was a positive relationship between rainfall variability and maize yields. The County government should put measures and policies that are aimed at protecting the forest cover. Forests help reduce the amount of carbon gas in the atmosphere, which is the main cause of climate change that normally led to rainfall variability effects. The related problems of rainfall anomalies are food insecurity, reduction of yield and increase of pest and diseases.},
      keywords = {Intervention Measure, Maize Production},
      month = {September},
  }