Indian Journal of Animal Research

  • Chief EditorK.M.L. Pathak

  • Print ISSN 0367-6722

  • Online ISSN 0976-0555

  • NAAS Rating 6.50

  • SJR 0.263

  • Impact Factor 0.5 (2023)

Frequency :
Monthly (January, February, March, April, May, June, July, August, September, October, November and December)
Indexing Services :
Science Citation Index Expanded, BIOSIS Preview, ISI Citation Index, Biological Abstracts, Scopus, AGRICOLA, Google Scholar, CrossRef, CAB Abstracting Journals, Chemical Abstracts, Indian Science Abstracts, EBSCO Indexing Services, Index Copernicus
Submit

Research Article

Indian Journal of Animal Research, volume 51 issue 2 (april 2017) : 350-357

Assessing the potential of beef cattle farming as contributor to income of communal households of Chief Albert Luthuli municipality in Mpumalanga province, South Africa

S.H Molefi, C.A Mbajiorgu*
1<p>Department of Agriculture and Animal Health,&nbsp;College of Agriculture and Environmental Science, UNISA, South Africa.</p>
Cite article:- Molefi S.H, Mbajiorgu* C.A (2016). Assessing the potential of beef cattle farming as contributor to income of communal households of Chief Albert Luthuli municipality inMpumalanga province, South Africa . Indian Journal of Animal Research. 51(2): 350-357. doi: 10.18805/ijar.9552.

ABSTRACT

The study was conducted across four rural communities of Chief Albert Luthuli municipality in the Mpumalanga province of South Africa. The objective of the study was to assess the contribution of beef cattle farming to household income in Chief Albert Luthuli municipality of Mpumalanga Province, South Africa. Data were analyzed descriptively. Simultaneously, multiple regression analysis was used to determine the factors affecting the contribution of beef cattle in household income in the study area. Results showed that 50% each of both the male and female farmers were engaged in beef cattle farming. 50.5% of respondents were more than 51 years old and therefore not in productive age with 40% of respondents aged between 41 - 50 years old. 7% of respondents have 1 - 2 dependents, while 11.5% of respondents have 3 - 4 dependents and 35.5% have more than 4 dependents. However, 46% of respondents have other dependents which they did not specify. 22.5% of respondents have 1-10 years of beef cattle farming experience while 14% have 11 - 12 years of experience. However, 21% of respondents have more than 20 years of experience and 39.5% have 50 - 60 years of experience on beef cattle farming. 40.5% of respondents acquired grade 11 or below and 45% of respondents had no school education, elementary school, junior high school, and senior high school. The contribution of beef cattle farming to household’s income in communal areas of Chief Albert Luthuli is 19%. Also, number of beef cattle and age of mortality hold significant influence on the farmer’s income from beef cattle. 

REFERENCES


  1. Amimo, J.O., Thumbi, S., Inyangala, B.O., Junga, J.O. and Mosi, R. O. (2011). Socio-economic characteristics and perceptions of cattle keepers and constraints to cattle production in Western Kenya. Livestock Research for Rural Development, 23.

  2. Balarane, A. and Oladele, O.I. (2014). The impact of irrigation farming on livelihood strategies among smallholder farmers in North West Province, South Africa. https://books.google.co.za/books?isbn=1845647882.

  3. Covarrubias, K., Nsiima, L., and Zezza, A. (2012). “Livestock and livelihoods in rural Tanzania: A descriptive analysis of the 2009 National Panel Survey”. joint paper of the World Bank, FAO, AUI-BAR, ILRI, and the Tanzania Ministry of Livestock and Fisheries Development, July 2012

  4. De Cock, K. M., Simone, P. M., Davison, V., and Slutsker, L. (2013). The new global health. Emerging Infectious Diseases, 19: 1192.

  5. Drimie, S., and Casale, M. (2009). Multiple stressors in Southern Africa: the link between HIV/AIDS, food insecurity, poverty and children’s vulnerability now and in the future. Aids Care, 21: 28-33.

  6. FAO.(2009b). The role of education, training and capacity development in poverty reduction and food security. United Nation. Rome. www.fao.org/3/a-i0760e.pdf.

  7. Hartono, B. and Rohaeni, E, S. (2014). Contribution to income of traditional beef cattle farmers household in Tonah Laut Regency, South Kalimantan, Indonesia. www.Irrd.org/irrd 26/8/hart 26141.htm.

  8. Katiyatiya, C. L. F., Muchenje, V., and Mushunje, A. (2014). Farmers’ Perceptions and Knowledge of Cattle Adaptation to Heat Stress and Tick Resistance in the Eastern Cape, South Africa. Asian-Australasian Journal of Animal Sciences, 27: 1663.

  9. Lemke, S. (2001) Food security in African ‘households’: an interdisciplinary approach of social factors and gender relations. Phd, Pretoria University.

  10. Mngomezulu, S. (2010). Formal Marketing of Cattle by Communal Farmers in the Eastern Cape Province of South Africa. Can They Take Part (Doctoral dissertation, M. Sc Dissertation, The Netherlands: Wageningen University).

  11. Modirwa, S., and Oladele, O. I. (2012). Food security among male and female-headed households in Eden District Municipality of the Western Cape, South Africa. Journal of Human Ecology, 37 : 29-35.

  12. Moyo, S. and Swanepoel, F. J. C.(2010). “Multifuncionality of livestock in developing communities” in The Role of Livestock in Developing Communities:Enhancing Multifunctionality, edited by FransSwanepoel, Aldo Stroebel and Siboniso Moyo, Co-published by The Technical Centre for Agricultural and Rural Cooperation (CTA) and University of the Free State. 

  13. Mpumalanga, DACE. (2003): Mpumalanga State of the Environment Report. MpumalangaDepartment of Agriculture, Conservation and Environment. Nelspruit: Mpumalanga.

  14. Mpumalanga, DALA. (2006): Integrated Resource Information Report: Albert Luthuli. Mpumalanga Provincial Government: DALA.

  15. Munyai, F. R. (2012). An Evaluation of Socio-economic and Biophysical Aspects of Small-scale Livestock Systems Based on a Case Study from Limpopo Province: Muduluni Village (Doctoral Dissertation, University of the Free State). South Africa

  16. Musemwa, L. A., Mushunje, M., Chimoyo, (2010). Low Cattle Market Off-take Rates in Communal Production Systems of South Africa: Cause and Mitigation Strategies. Journal of Sustainable Development in Africa 12.5: 209-26

  17. Nqeno, N., Chimonyo, M. and Mapiye, C.(2011). Farmers’ perceptions of the causes of low reproductive performance in cows kept under low-input communal production systems in South Africa. Tropical Animal Health Production 43:315–321.

  18. Ogunkoya, F.T. (2014). Socio-economic factors that affect livestock numbers: a case study of smallholder cattle and sheep farmers in the Free State province of South Africa, MSc Thesis. University of South Africa. , Pretoria, South Africa

  19. Ouma, E. A., Gideon, A. O. and Steven, J. S. (2003). “Cattle as assets: assessment of non-market benefits from cattle in smallholder kenyan crop- livestock systems”, Proceedings of the 25th International Conference of Agricultural Economists (IAAE), 16-.22 August, Durban, South Africa. Pretoria, SouthAfrica.

  20. Sakyi, P. (2012). Determinants of food accessibility of rural households in the Limpopo Province, South Africa. Unpublished MSc dissertation. : Gent University.

  21. Scholtz, M. M., and Bester, J. (2010). The effect of stock theft and mortalities on the livestock industry in South Africa. Appl. Anim. Husb. Rural Develop, 3: 15-18.

  22. Sekoto, K. S., and Oladele, O. I. (2012). Analysis of Support Service Needs and Constraints facing Farmers Under Land Reform Agricultural Projects in North West Province, South Africa. Life Science Journal, 9: 1444-1452.

  23. Sibanda, B. S. (2014). Beef cattle development initiatives: a case of Matobo A2 Resettlement farms in Zimbabwe. Global Journal of Animal Scientific Research, 2: 197-204.

  24. Sikhweni, N. P., and Hassan, R. (2014). Opportunities and challenges facing small-scale cattle farmers living adjacent to Kruger National Park, Limpopo Province. Journal of Emerging Trends in Economics and Management Sciences, 5: 38-43.

  25. SPSS Inc. (2015). SPSS version 22.0 for Windows User’s Guide. SPSS Inc. Chicago IL.

  26. Statistics South Africa (SSA) (2013). Mid-year population estimates 2013. Statistics South Africa, Pretoria.

  27. Statistics South Africa (SSA). (2011). Republic South Africa www.statssa.gov.za/?page_id=993&id=albert-luthuli-    municipality

  28. Tada, O., Muchenje, V., and Dzama, K. (2012). Monetary value, current roles, marketing options, and farmer concerns of communal Nguni cattle in the Eastern Cape Province, South Africa. Afr. J. Bus. Manag, 6: 11304-11311.

     
Reviewed By

Download Article
In this Article
    Contact us
    Follow us

    Editorial Board

    View all (0)