IDEAS home Printed from https://ideas.repec.org/a/ags/ijamad/163371.html
   My bibliography  Save this article

Livestock Farming Systems and Cattle Production Orientation in Eastern High Plains of Algeria, Cattle Farming System in Algerian Semi Arid Region

Author

Listed:
  • Semara, Lounis
  • Mouffok, Charefeddine
  • Madani, Toufik

Abstract

This study was an attempt to devise productive orientations of cattle herds in eastern high plains of Algeria. In this regard, 165 farms randomly identified were investigated. The selection of breeders was based to existence of cattle on the farm, and the farmer proposed to investigation must have at least two cows. The approach taken was to identify all systems adopted by farmers in a region through the analysis of the relationship between the maintenance of different types of cattle and preferred marketing policies. The model has been emerged as a result of functional typology established using the procedure categorical principal components analysis (CATPCA) of optimal coding in SPSS [19. 2010]. Following this approach, five types of cattle productive orientation have been identified, the balanced mixed system (dairy-beef), beef mixed system, dairy mixed system, dairy system and beef system. These results showed that the breeders were oriented towards specialization (dairy or beef) in less than 20% of situations. Farmers in our context prefer mixed systems when beef mixed system was the model type frequently encountered in the region (over than 50% of farms).

Suggested Citation

  • Semara, Lounis & Mouffok, Charefeddine & Madani, Toufik, 2013. "Livestock Farming Systems and Cattle Production Orientation in Eastern High Plains of Algeria, Cattle Farming System in Algerian Semi Arid Region," International Journal of Agricultural Management and Development (IJAMAD), Iranian Association of Agricultural Economics, vol. 3(4), pages 1-8, December.
    • Handle: RePEc:ags:ijamad:163371
    DOI: 10.22004/ag.econ.163371
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/163371/files/IJAMADDecember2013P237.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.163371?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Chapman, D.F. & Kenny, S.N. & Beca, D. & Johnson, I.R., 2008. "Pasture and forage crop systems for non-irrigated dairy farms in southern Australia. 1. Physical production and economic performance," Agricultural Systems, Elsevier, vol. 97(3), pages 108-125, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Stirling, Sofía & Fariña, Santiago & Pacheco, David & Vibart, Ronaldo, 2021. "Whole-farm modelling of grazing dairy systems in Uruguay," Agricultural Systems, Elsevier, vol. 193(C).
    2. Christie, Karen M. & Smith, Andrew P. & Rawnsley, Richard P. & Harrison, Matthew T. & Eckard, Richard J., 2018. "Simulated seasonal responses of grazed dairy pastures to nitrogen fertilizer in SE Australia: Pasture production," Agricultural Systems, Elsevier, vol. 166(C), pages 36-47.
    3. Tarrant, Katherine A. & Armstrong, Dan P. & Ho, Christie K.M. & Wales, W.J. & Malcolm, Bill, 2010. "An economic analysis of options for utilising additional land on a high rainfall Gippsland dairy farm," 2010 Conference (54th), February 10-12, 2010, Adelaide, Australia 59164, Australian Agricultural and Resource Economics Society.
    4. Fariña, S.R. & Alford, A. & Garcia, S.C. & Fulkerson, W.J., 2013. "An integrated assessment of business risk for pasture-based dairy farm systems intensification," Agricultural Systems, Elsevier, vol. 115(C), pages 10-20.
    5. Chapman, D.F. & Kenny, S.N. & Lane, N., 2011. "Pasture and forage crop systems for non-irrigated dairy farms in southern Australia: 3. Estimated economic value of additional home-grown feed," Agricultural Systems, Elsevier, vol. 104(8), pages 589-599, October.
    6. Vogeler, Iris & Vibart, Ronaldo & Cichota, Rogerio, 2017. "Potential benefits of diverse pasture swards for sheep and beef farming," Agricultural Systems, Elsevier, vol. 154(C), pages 78-89.
    7. Bilotto, Franco & Vibart, Ronaldo & Wall, Andrew & Machado, Claudio F., 2021. "Estimation of the inter-annual marginal value of additional feed and its replacement cost for beef cattle systems in the Flooding Pampas of Argentina," Agricultural Systems, Elsevier, vol. 187(C).
    8. Berger, Horacio & Bilotto, Franco & Bell, Lindsay W. & Machado, Claudio F., 2017. "Feedbase intervention in a cow-calf system in the flooding pampas of Argentina: 2. Estimation of the marginal value of additional feed," Agricultural Systems, Elsevier, vol. 158(C), pages 68-77.
    9. Lewis, Claire D. & Smith, Kevin F. & Jacobs, Joe L. & Ho, Christie K.M. & Leddin, Clare M. & Malcolm, Bill, 2020. "Using a two-price market value method to value extra pasture DM in different seasons," Agricultural Systems, Elsevier, vol. 178(C).
    10. Smith, Andrew P. & Western, Andrew W., 2013. "Predicting nitrogen dynamics in a dairy farming catchment using systems synthesis modelling," Agricultural Systems, Elsevier, vol. 115(C), pages 144-154.
    11. Chapman, D.F. & Kenny, S.N. & Beca, D. & Johnson, I.R., 2008. "Pasture and forage crop systems for non-irrigated dairy farms in southern Australia. 2. Inter-annual variation in forage supply, and business risk," Agricultural Systems, Elsevier, vol. 97(3), pages 126-138, June.
    12. Bilotto, Franco & Recavarren, Paulo & Vibart, Ronaldo & Machado, Claudio F., 2019. "Backgrounding strategy effects on farm productivity, profitability and greenhouse gas emissions of cow-calf systems in the Flooding Pampas of Argentina," Agricultural Systems, Elsevier, vol. 176(C).
    13. Piotr Goliński & Patrycja Sobolewska & Barbara Stefańska & Barbara Golińska, 2022. "Virtual Fencing Technology for Cattle Management in the Pasture Feeding System—A Review," Agriculture, MDPI, vol. 13(1), pages 1-14, December.
    14. Ojeda, J.J. & Pembleton, K.G. & Islam, M.R. & Agnusdei, M.G. & Garcia, S.C., 2016. "Evaluation of the agricultural production systems simulator simulating Lucerne and annual ryegrass dry matter yield in the Argentine Pampas and south-eastern Australia," Agricultural Systems, Elsevier, vol. 143(C), pages 61-75.
    15. Eastwood, C.R. & Chapman, D.F. & Paine, M.S., 2012. "Networks of practice for co-construction of agricultural decision support systems: Case studies of precision dairy farms in Australia," Agricultural Systems, Elsevier, vol. 108(C), pages 10-18.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:ijamad:163371. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/iraesea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.