IDEAS home Printed from https://ideas.repec.org/a/ags/jlaare/168264.html
   My bibliography  Save this article

Value of Genetic Information for Management and Selection of Feedlot Cattle

Author

Listed:
  • Thompson, Nathanael M.
  • DeVuyst, Eric A.
  • Brorsen, B. Wade
  • Lusk, Jayson L.

Abstract

We estimate the value of using information from genetic marker panels for seven economically relevant feedlot cattle traits. The values of using genetic information to sort cattle by optimal days-on-feed are less than $1/head for each of the traits evaluated. However, the values associated with using genetic information to select cattle for placement are as much as $38/head. The most economically relevant genetic traits are average daily gain and marbling. It would not be profitable at the current testing cost of $38/head to sort cattle by optimal days-on-feed, but it could be profitable to use the genetic tests for breeding cattle selection.

Suggested Citation

  • Thompson, Nathanael M. & DeVuyst, Eric A. & Brorsen, B. Wade & Lusk, Jayson L., 2014. "Value of Genetic Information for Management and Selection of Feedlot Cattle," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(1), pages 1-17, April.
  • Handle: RePEc:ags:jlaare:168264
    DOI: 10.22004/ag.econ.168264
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/168264/files/JARE_Apr2014__9_Thompson_pp139-155.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.168264?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. John A. Miranowski & Bruce A. Babcock, 2004. "Genetic Information in Agricultural Productivity and Product Development," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 73-87.
    2. Bruce A. Babcock, 1990. "The Value of Weather Information in Market Equilibrium," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(1), pages 63-72.
    3. Jay Mitchell & Eric A. DeVuyst & Marc L. Bauer & Daniel L. Larson, 2009. "Cow‐calf profitability and leptin genotyping," Agricultural Economics, International Association of Agricultural Economists, vol. 40(1), pages 113-118, January.
    4. Kathryn A. Boys & Ning Li & Paul V. Preckel & Allan P. Schinckel & Kenneth A. Foster, 2007. "Economic Replacement of a Heterogeneous Herd," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(1), pages 24-35.
    5. Lambert, David K., 2008. "The expected utility of genetic information in beef cattle production," Agricultural Systems, Elsevier, vol. 99(1), pages 44-52, December.
    6. David J. Pannell, 2006. "Flat Earth Economics: The Far-reaching Consequences of Flat Payoff Functions in Economic Decision Making," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 28(4), pages 553-566.
    7. Robert L. Weaber & Jayson L. Lusk, 2010. "The Economic Value of Improvements in Beef Tenderness by Genetic Marker Selection," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(5), pages 1456-1471.
    8. Lusk, Jayson L., 2007. "Economic Value of Selecting and Marketing Cattle by Leptin Genotype," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 32(2), pages 1-24, August.
    9. DeVuyst, Eric A. & Bullinger, Jared R. & Bauer, Marc L. & Berg, Paul T. & Larson, Daniel M., 2007. "An Economic Analysis of Genetic Information: Leptin Genotyping in Fed Cattle," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 32(2), pages 1-15, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Thompson, Nathanael M. & DeVuyst, Eric A. & Brorsen, B. Wade & Lusk, Jayson L., 2016. "Using Genetic Testing to Improve Fed Cattle Marketing Decisions," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 41(2), May.
    2. Thompson, Nathanael M. & Brorsen, B. Wade & DeVuyst, Eric A. & Lusk, Jayson L., 2016. "Random Sampling of Beef Cattle for Genetic Testing: Optimal Sample Size Determination," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 229195, Southern Agricultural Economics Association.
    3. Maples, Joshua G. & Lusk, Jayson L. & Peel, Derrell S., 2019. "Technology and evolving supply chains in the beef and pork industries," Food Policy, Elsevier, vol. 83(C), pages 346-354.
    4. Ibragimov, Timur & Bastian, Christopher & Hansen, Kristiana & Paisley, Steven & Ballenger, Nicole, 2020. "Potential for Genomics to Improve Feed Efficiency and Ranch Profitability," Journal of the ASFMRA, American Society of Farm Managers and Rural Appraisers, vol. 2020.
    5. Popp, Michael P. & Crystal, Josh C. & Tester, Colson A. & Gbur, Edward E. & Rosenkrans, Charles F., 2020. "Economic evaluation of genetic markers for cow-calf operations differentiated by forage type and breed," Agricultural Systems, Elsevier, vol. 177(C).

    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. Thompson, Nathanael M. & DeVuyst, Eric A. & Brorsen, B. Wade & Lusk, Jayson L., 2014. "Value of Genetic Information for Beef Cattle at the Feedlot Stage," 2014 Annual Meeting, February 1-4, 2014, Dallas, Texas 162431, Southern Agricultural Economics Association.
    2. Thompson, Nathanael M. & DeVuyst, Eric A. & Brorsen, B. Wade & Lusk, Jayson L., 2016. "Using Genetic Testing to Improve Fed Cattle Marketing Decisions," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 41(2), May.
    3. Lambert, David K., 2008. "The expected utility of genetic information in beef cattle production," Agricultural Systems, Elsevier, vol. 99(1), pages 44-52, December.
    4. Parcell, Joseph L. & Schaefer, Daniel & Patterson, David J. & John, Mike & Kerley, Monty S. & Haden, Kent, 2008. "Assessing the Value of Coordinated Sire Genetics in a Synchronized AI Program," 2008 Conference, April 21-22, 2008, St. Louis, Missouri 37618, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    5. Thompson, Nathanael M. & Brorsen, B. Wade & DeVuyst, Eric A. & Lusk, Jayson L., 2016. "Random Sampling of Beef Cattle for Genetic Testing: Optimal Sample Size Determination," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 229195, Southern Agricultural Economics Association.
    6. Parcell, Joseph L. & Franken, Jason R.V. & Schafer, Daniel & Patterson, David J. & John, Mike & Kerley, Monty S. & Haden, Kent, 2011. "Coordinating Sire Genetics in a Synchronized AI Program," Journal of the ASFMRA, American Society of Farm Managers and Rural Appraisers, vol. 2011, pages 1-12, June.
    7. Maples, Joshua G. & Lusk, Jayson L. & Peel, Derrell S., 2019. "Technology and evolving supply chains in the beef and pork industries," Food Policy, Elsevier, vol. 83(C), pages 346-354.
    8. Leen, Frederik & Van den Broeke, Alice & Aluwé, Marijke & Ludwig, Lauwers & Sam, Millet & Jef, Van Meensel, 2017. "Simulation Modelling To Provide Insights Into The Optimization Of Delivery Weights Of Finisher Pigs," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 261272, European Association of Agricultural Economists.
    9. Leen, Frederik & Van den Broeke, Alice & Aluwé, Marijke & Lauwers, Ludwig & Millet, Sam & Van Meensel, Jef, 2018. "Stakeholder-driven modelling the impact of animal profile and market conditions on optimal delivery weight in growing-finishing pig production," Agricultural Systems, Elsevier, vol. 162(C), pages 34-45.
    10. Scott W. Fausti & Zhiguang Wang & Bashir A. Qasmi & Matthew A. Diersen, 2014. "Risk and marketing behavior: pricing fed cattle on a grid," Agricultural Economics, International Association of Agricultural Economists, vol. 45(5), pages 601-612, September.
    11. Jay Mitchell & Eric A. DeVuyst & Marc L. Bauer & Daniel L. Larson, 2009. "Cow‐calf profitability and leptin genotyping," Agricultural Economics, International Association of Agricultural Economists, vol. 40(1), pages 113-118, January.
    12. Belasco, Eric J., 2008. "The Role of Price Risk Management in Mitigating Fed Cattle Profit Exposure," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 33(3), pages 1-17.
    13. Alberto Chong & Virgilio Galdo & Máximo Torero, 2005. "Does Privatization Deliver? Access to Telephone Services and Household Income in Poor Rural Areas Using a Quasi-Natural Experiment in Peru," Research Department Publications 4417, Inter-American Development Bank, Research Department.
    14. Asci, Serhat & Borisova, Tatiana & VanSickle, John J., 2015. "Role of economics in developing fertilizer best management practices," Agricultural Water Management, Elsevier, vol. 152(C), pages 251-261.
    15. Sapino, Francesco & Pérez-Blanco, C. Dionisio & Gutiérrez-Martín, Carlos & García-Prats, Alberto & Pulido-Velazquez, Manuel, 2022. "Influence of crop-water production functions on the expected performance of water pricing policies in irrigated agriculture," Agricultural Water Management, Elsevier, vol. 259(C).
    16. Mandrini, German & Pittelkow, Cameron M. & Archontoulis, Sotirios V. & Mieno, Taro & Martin, Nicolas F., 2021. "Understanding differences between static and dynamic nitrogen fertilizer tools using simulation modeling," Agricultural Systems, Elsevier, vol. 194(C).
    17. Kerry J. Stott & Brendan Christy & Malcolm McCaskill & Kurt K. Benke & Penny Riffkin & Garry J. O'Leary & Robert Norton, 2020. "Integrating crop modelling and production economics to investigate multiple nutrient deficiencies and yield gaps," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(3), pages 655-676, July.
    18. MacAuley, Molly K., 2005. "The Value of Information: A Background Paper on Measuring the Contribution of Space-Derived Earth Science Data to National Resource Management," Discussion Papers 10839, Resources for the Future.
    19. Graeme J. Doole & David J. Pannell & Clinton K. Revell, 2009. "Economic contribution of French serradella (Ornithopus sativus Brot.) pasture to integrated weed management in Western Australian mixed-farming systems: an application of compressed annealing ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(2), pages 193-212, April.
    20. Lybbert, Travis J. & Magnan, Nicholas & Gubler, W. Douglas, 2012. "Multi-Dimensional Responses to Risk Information: How do Winegrape Growers Respond to Disease Forecasts and to What Environmental Effect?," Working Papers 162521, Robert Mondavi Institute Center for Wine Economics.

    More about this item

    Keywords

    Livestock Production/Industries;

    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:jlaare:168264. 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/waeaaea.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.