IDEAS home Printed from https://ideas.repec.org/a/ags/agreko/347721.html
   My bibliography  Save this article

The profit-maximising feeding period for different breeds of beef cattle

Author

Listed:
  • Oosthuizen, P. L.
  • Maré, F. A.

Abstract

The objective of this study was to determine the profit-maximising feeding period (PMFP) of different breeds of beef cattle. The differentiation between breeds according to their genetic growth potential was identified and used to increase feedlot profitability and sustainability. The unique growth and feed intake data of different breeds was generated through a feedlot feeding experiment. The PMFP model was developed to incorporate the variable economic value and the unique production data of each breed into a model. The PMFP model can determine alternative PMFPs for any price scenario. The results indicate that breeds can be differentiated in terms of genetic production potential. The seven breeds used in this study can be divided into three groups in terms of their estimated PMFPs for the specific scenario. The Brahman, Bonsmara, and Afrikaner can be grouped together with a PMFP of 16 weeks for the Brahman and Bonsmara, and 15 weeks for the Afrikaner. The second group included the Simbra and the Angus, which have a PMFP of 21 and 22 weeks respectively. The Simmentaler and Limousin have a PMFP of 27 and 26 weeks respectively, which groups them together in the final group. In conclusion, additional Gπ can be generated by each breed by feeding them according to their unique PMFP. According to the case study the additional gross profit that can be generated by the implication of the PMFP-model was 6%.

Suggested Citation

  • Oosthuizen, P. L. & Maré, F. A., 2018. "The profit-maximising feeding period for different breeds of beef cattle," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 57(2), June.
    • Handle: RePEc:ags:agreko:347721
    DOI: 10.22004/ag.econ.347721
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/347721/files/The%20profit-maximising%20feeding%20period%20for%20different%20breeds%20of%20beef%20cattle.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.347721?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. repec:ags:agsaem:158320 is not listed on IDEAS
    2. Tedeschi, Luis Orlindo & Fox, Danny G. & Guiroy, Pablo J., 2004. "A decision support system to improve individual cattle management. 1. A mechanistic, dynamic model for animal growth," Agricultural Systems, Elsevier, vol. 79(2), pages 171-204, February.
    3. repec:ags:agsaem:158319 is not listed on IDEAS
    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. Rahman, Shaikh Mahfuzur, 2006. "Optimal Incentive Structure in Cattle Feeding Contracts Under Alternative Fed Cattle Pricing Methods," Working Papers 28549, University of Maryland, Department of Agricultural and Resource Economics.
    2. Link, David J. & Almas, Lal K. & Brown, Michael S. & Lawrence, Ty E., 2011. "The Beneficial Impact of Sorting Heavy Cattle at Re-Implant," 2011 Annual Meeting, February 5-8, 2011, Corpus Christi, Texas 98732, Southern Agricultural Economics Association.
    3. Oosthuizen, P.L. & Maré, F.A., 2017. "Increase feedlot profitability by differentiating between beef breeds," 21st Congress, Edinburgh, Scotland, July 2-7, 2017 345800, International Farm Management Association.
    4. Tedeschi, Luis Orlindo, 2006. "Assessment of the adequacy of mathematical models," Agricultural Systems, Elsevier, vol. 89(2-3), pages 225-247, September.
    5. Ilva Trapina & Daina Kairisa & Natalia Paramonova, 2024. "Analysing the Cost of Concentrated Feed and Income from Meat in Relation to Relative Growth Rate and Kleiber’s Ratio in Intensive Fattening of Latvian Dark-Headed Lambs," Agriculture, MDPI, vol. 14(4), pages 1-13, April.
    6. Heflin, K.R. & Parker, D.B. & Marek, G.W. & Auvermann, B.W. & Marek, T.H., 2019. "Greenhouse-gas emissions of beef finishing systems in the Southern High Plains," Agricultural Systems, Elsevier, vol. 176(C).
    7. Turner, B.L. & Rhoades, R.D. & Tedeschi, L.O. & Hanagriff, R.D. & McCuistion, K.C. & Dunn, B.H., 2013. "Analyzing ranch profitability from varying cow sales and heifer replacement rates for beef cow-calf production using system dynamics," Agricultural Systems, Elsevier, vol. 114(C), pages 6-14.
    8. van der Linden, Aart & Oosting, Simon J. & van de Ven, Gerrie W.J. & de Boer, Imke J.M. & van Ittersum, Martin K., 2015. "A framework for quantitative analysis of livestock systems using theoretical concepts of production ecology," Agricultural Systems, Elsevier, vol. 139(C), pages 100-109.
    9. Rahman, Shaikh Mahfuzur, 2006. "Optimal Incentive Structure in Cattle Feeding Contracts under Alternative Fed Cattle Pricing Methods," 2006 Annual meeting, July 23-26, Long Beach, CA 21404, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:agreko:347721. 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/aeasaea.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.