IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v130y2014icp1-12.html
   My bibliography  Save this article

Optimizing diet and pasture management to improve sustainability of U.S. beef production

Author

Listed:
  • White, Robin R.
  • Brady, Michael
  • Capper, Judith L.
  • Johnson, Kristen A.

Abstract

System sustainability balances environmental impact, economic viability and social acceptability. Assessment methods to investigate impacts of enterprise management and consumer decisions on sustainability of beef cattle operations are critically needed. Tools of this nature are especially important given the predictions of climate variability and the dependence of beef production systems on forage availability. A model optimizing nutritional and pasture management was created to examine the environmental impact of beef production. The model integrated modules calculating cradle-to-farm gate environmental impact, diet cost, pasture growth and willingness to pay (WTP). Least-cost diet and pasture management options served as a baseline to which environmental-impact reducing scenarios were compared. Economic viability was ensured by a constraint limiting change in diet cost to less than consumer WTP. Increased WTP was associated with improved social acceptability. Model outputs were evaluated by comparing to published data. Sensitivity analysis of the WTP constraint was conducted. A series of scenarios then examined how forecasted changes in precipitation patterns might alter forage supply and opportunities to reduce environmental impact in three regions in the United States. On a national scale, single-objective optimization indicated individual reductions in greenhouse gases (GHG), land use and water use of 3.6%, 5.4% and 4.3% were possible by changing diets. Multi-objective optimization demonstrated that GHG, land and water use could be simultaneously reduced by 2.3%. To achieve this change, cow–calf diets relied on grass hay, continuously- or rotationally-grazed irrigated and fertilized pasture as well as rotationally-grazed pasture. Stocker diets used rotationally-grazed, irrigated and fertilized pasture and feedlot diets used grass hay as a forage source. The model was sensitive to consumer WTP. When alternative precipitation patterns were simulated, opportunities to decrease the environmental impact of beef production in the Pacific Northwest and Texas were reduced by precipitation changes; whereas opportunities in the Midwest improved. Economic viability, rather than biological limitations, reduced the potential to improve environmental impact under future precipitation scenarios. Decreased spring rainfall resulted in lower pasture yields and required greater use of stored forages. Related increases in diet cost reduced opportunities to appropriate funds toward investment in environmental-impact reducing pasture management strategies. The model developed in this study is a robust tool that can be used to assess the impacts of enterprise management and consumer decisions on beef production sustainability.

Suggested Citation

  • White, Robin R. & Brady, Michael & Capper, Judith L. & Johnson, Kristen A., 2014. "Optimizing diet and pasture management to improve sustainability of U.S. beef production," Agricultural Systems, Elsevier, vol. 130(C), pages 1-12.
  • Handle: RePEc:eee:agisys:v:130:y:2014:i:c:p:1-12
    DOI: 10.1016/j.agsy.2014.06.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308521X14000766
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agsy.2014.06.004?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hurley, Sean P. & Miller, Douglas J. & Kliebenstein, James B., 2006. "Estimating Willingness to Pay Using a Polychotomous Choice Function: An Application to Pork Products with Environmental Attributes," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 31(2), pages 1-17, August.
    2. Veysset, P. & Lherm, M. & Bébin, D., 2010. "Energy consumption, greenhouse gas emissions and economic performance assessments in French Charolais suckler cattle farms: Model-based analysis and forecasts," Agricultural Systems, Elsevier, vol. 103(1), pages 41-50, January.
    3. McCall, D. G. & Bishop-Hurley, G. J., 2003. "A pasture growth model for use in a whole-farm dairy production model," Agricultural Systems, Elsevier, vol. 76(3), pages 1183-1205, June.
    4. Gillespie, Jeffrey M. & Wyatt, Wayne & Venuto, Brad & Blouin, David & Boucher, Robert W., 2008. "The Roles of Labor and Profitability in Choosing a Grazing Strategy for Beef Production in the U.S. Gulf Coast Region," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 40(1), pages 1-13, April.
    5. Bradley G. Ridoutt & Peerasak Sanguansri & Gregory S. Harper, 2011. "Comparing Carbon and Water Footprints for Beef Cattle Production in Southern Australia," Sustainability, MDPI, vol. 3(12), pages 1-13, December.
    6. Moore, A. D. & Donnelly, J. R. & Freer, M., 1997. "GRAZPLAN: Decision support systems for Australian grazing enterprises. III. Pasture growth and soil moisture submodels, and the GrassGro DSS," Agricultural Systems, Elsevier, vol. 55(4), pages 535-582, December.
    7. Beauchemin, Karen A. & Henry Janzen, H. & Little, Shannan M. & McAllister, Tim A. & McGinn, Sean M., 2010. "Life cycle assessment of greenhouse gas emissions from beef production in western Canada: A case study," Agricultural Systems, Elsevier, vol. 103(6), pages 371-379, July.
    8. Tonsor, Glynn T. & Shupp, Robert, 2009. "Valuations of ‘Sustainably Produced’ Labels on Beef, Tomato, and Apple Products," Agricultural and Resource Economics Review, Cambridge University Press, vol. 38(3), pages 371-383, December.
    9. Glynn T. Tonsor & Ted C. Schroeder & Joost M. E. Pennings & James Mintert, 2009. "Consumer Valuations of Beef Steak Food Safety Enhancement in Canada, Japan, Mexico, and the United States," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 57(3), pages 395-416, September.
    10. Jayson L. Lusk & Jutta Roosen & John A. Fox, 2003. "Demand for Beef from Cattle Administered Growth Hormones or Fed Genetically Modified Corn: A Comparison of Consumers in France, Germany, the United Kingdom, and the United States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(1), pages 16-29.
    11. Ken Belcher & Andrea Germann & Josef Schmutz, 2007. "Beef with environmental and quality attributes: Preferences of environmental group and general population consumers in Saskatchewan, Canada," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 24(3), pages 333-342, September.
    12. Dickinson, David L. & Bailey, DeeVon, 2005. "Experimental Evidence on Willingness to Pay for Red Meat Traceability in the United States, Canada, the United Kingdom, and Japan," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 37(3), pages 1-12, December.
    13. Subak, Susan, 1999. "Global environmental costs of beef production," Ecological Economics, Elsevier, vol. 30(1), pages 79-91, July.
    14. Tozer, P. R. & Stokes, J. R., 2001. "A multi-objective programming approach to feed ration balancing and nutrient management," Agricultural Systems, Elsevier, vol. 67(3), pages 201-215, March.
    15. Rosen, Sherwin, 1974. "Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 34-55, Jan.-Feb..
    16. Vergé, X.P.C. & Dyer, J.A. & Desjardins, R.L. & Worth, D., 2008. "Greenhouse gas emissions from the Canadian beef industry," Agricultural Systems, Elsevier, vol. 98(2), pages 126-134, September.
    17. Pelletier, Nathan & Pirog, Rich & Rasmussen, Rebecca, 2010. "Comparative life cycle environmental impacts of three beef production strategies in the Upper Midwestern United States," Agricultural Systems, Elsevier, vol. 103(6), pages 380-389, July.
    18. Capper, Judith L. & Hayes, Dermot J., 2012. "The environmental and economic impact of removing growth-enhancing technologies from U.S. beef production," ISU General Staff Papers 201210010700001001, Iowa State University, Department of Economics.
    19. Umberger, Wendy J. & Boxall, Peter C. & Lacy, R. Curt, 2009. "Role of credence and health information in determining US consumers’ willingness-to-pay for grass-finished beef," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(4), pages 1-21.
    20. Hurley, Sean P. & Miller, Douglas & Kliebenstein, James, 2006. "Estimating Willingness to Pay Using a Polychotomous Choice Function: An Application to Pork Products with Environmental Attributes," Staff General Research Papers Archive 12674, Iowa State University, Department of Economics.
    21. Tonsor, Glynn T. & Shupp, Robert S., 2009. "Valuations of ‘Sustainably Produced’ Labels on Beef, Tomato, and Apple Products," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 38(3), pages 1-13, December.
    22. A. Hoekstra & A. Chapagain, 2007. "Water footprints of nations: Water use by people as a function of their consumption pattern," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(1), pages 35-48, January.
    23. M. Falkenmark & J. Rockström & L. Karlberg, 2009. "Present and future water requirements for feeding humanity," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 1(1), pages 59-69, February.
    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. Pedro Henrique Presumido & Fernando Sousa & Artur Gonçalves & Tatiane Cristina Dal Bosco & Manuel Feliciano, 2018. "Environmental Impacts of the Beef Production Chain in the Northeast of Portugal Using Life Cycle Assessment," Agriculture, MDPI, vol. 8(10), pages 1-19, October.
    2. Pereira, Carolina H. & Patino, Harold O. & Hoshide, Aaron K. & Abreu, Daniel C. & Alan Rotz, C. & Nabinger, Carlos, 2018. "Grazing supplementation and crop diversification benefits for southern Brazil beef: A case study," Agricultural Systems, Elsevier, vol. 162(C), pages 1-9.
    3. Fang, Q.X. & Harmel, R.D. & Ma, L. & Bartling, P.N.S. & Derner, J.D. & Jeong, J. & Williams, J.R. & Boone, R.B., 2022. "Evaluating the APEX model for alternative cow-calf grazing management strategies in Central Texas," Agricultural Systems, Elsevier, vol. 195(C).
    4. White, Robin R., 2016. "Increasing energy and protein use efficiency improves opportunities to decrease land use, water use, and greenhouse gas emissions from dairy production," Agricultural Systems, Elsevier, vol. 146(C), pages 20-29.

    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. White, Robin R. & Brady, Michael, 2014. "Can consumers’ willingness to pay incentivize adoption of environmental impact reducing technologies in meat animal production?," Food Policy, Elsevier, vol. 49(P1), pages 41-49.
    2. Raymond L. Desjardins & Devon E. Worth & Xavier P. C. Vergé & Dominique Maxime & Jim Dyer & Darrel Cerkowniak, 2012. "Carbon Footprint of Beef Cattle," Sustainability, MDPI, vol. 4(12), pages 1-23, December.
    3. Oishi, Kazato & Kato, Yohei & Ogino, Akifumi & Hirooka, Hiroyuki, 2013. "Economic and environmental impacts of changes in culling parity of cows and diet composition in Japanese beef cow–calf production systems," Agricultural Systems, Elsevier, vol. 115(C), pages 95-103.
    4. Modongo, Oteng & Kulshreshtha, Suren N., 2018. "Economics of mitigating greenhouse gas emissions from beef production in western Canada," Agricultural Systems, Elsevier, vol. 162(C), pages 229-238.
    5. Morel, Kevin & Farrié, Jean-Pierre & Renon, Julien & Manneville, Vincent & Agabriel, Jacques & Devun, Jean, 2016. "Environmental impacts of cow-calf beef systems with contrasted grassland management and animal production strategies in the Massif Central, France," Agricultural Systems, Elsevier, vol. 144(C), pages 133-143.
    6. Tait, Dr Peter & Saunders, Prof Caroline & Guenther, Meike & Rutherford, Paul, 2013. "Valuing environmental sustainability attributes of food products in India and China: decomposing the value of New Zealand’s ‘Clean-Green’ brand," 2013 Conference, August 28-30, 2013, Christchurch, New Zealand 187036, New Zealand Agricultural and Resource Economics Society.
    7. Britwum, Kofi & Yiannaka, Amalia, 2019. "Consumer willingness to pay for food safety interventions: The role of message framing and issue involvement," Food Policy, Elsevier, vol. 86(C), pages 1-1.
    8. María I. Nieto & Olivia Barrantes & Liliana Privitello & Ramón Reiné, 2018. "Greenhouse Gas Emissions from Beef Grazing Systems in Semi-Arid Rangelands of Central Argentina," Sustainability, MDPI, vol. 10(11), pages 1-22, November.
    9. Maples, Joshua G. & Lusk, Jayson L. & Peel, Derrell S., 2018. "Unintended consequences of the quest for increased efficiency in beef cattle: When bigger isn’t better," Food Policy, Elsevier, vol. 74(C), pages 65-73.
    10. Donatella Baiardi & Riccardo Puglisi & Simona Scabrosetti, 2012. "Individual Attitudes on Food Quality and Safety: Empirical Evidence on EU Countries," DEM Working Papers Series 014, University of Pavia, Department of Economics and Management.
    11. Forte, Annachiara & Zucaro, Amalia & De Vico, Gionata & Fierro, Angelo, 2016. "Carbon footprint of heliciculture: A case study from an Italian experimental farm," Agricultural Systems, Elsevier, vol. 142(C), pages 99-111.
    12. Pashaei Kamali, Farahnaz & van der Linden, Aart & Meuwissen, Miranda P.M. & Malafaia, Guilherme Cunha & Oude Lansink, Alfons G.J.M. & de Boer, Imke J.M., 2016. "Environmental and economic performance of beef farming systems with different feeding strategies in southern Brazil," Agricultural Systems, Elsevier, vol. 146(C), pages 70-79.
    13. Wiedemann, S.G. & Henry, B.K. & McGahan, E.J. & Grant, T. & Murphy, C.M. & Niethe, G., 2015. "Resource use and greenhouse gas intensity of Australian beef production: 1981–2010," Agricultural Systems, Elsevier, vol. 133(C), pages 109-118.
    14. Kar Ho Lim & Michael Vassalos & Michael Reed, 2018. "Point-of-Sale Specific Willingness to Pay for Quality-Differentiated Beef," Sustainability, MDPI, vol. 10(7), pages 1-13, July.
    15. Bradley G. Ridoutt & Peerasak Sanguansri & Gregory S. Harper, 2011. "Comparing Carbon and Water Footprints for Beef Cattle Production in Southern Australia," Sustainability, MDPI, vol. 3(12), pages 1-13, December.
    16. McGee, M. & Moloney, A.P. & O'Riordan, E.G. & Regan, M. & Lenehan, C. & Kelly, A.K. & Crosson, P., 2023. "Pasture-finishing of late-maturing bulls or steers in a suckler calf-to-beef system: Animal production, meat quality, economics, greenhouse gas emissions and human-edible food-feed efficiency," Agricultural Systems, Elsevier, vol. 209(C).
    17. Pereira, Carolina H. & Patino, Harold O. & Hoshide, Aaron K. & Abreu, Daniel C. & Alan Rotz, C. & Nabinger, Carlos, 2018. "Grazing supplementation and crop diversification benefits for southern Brazil beef: A case study," Agricultural Systems, Elsevier, vol. 162(C), pages 1-9.
    18. Maples, Joshua G. & Lusk, Jayson L. & Peel, Derrell S., 2016. "When Bigger Isn't Better: Steak Size and Consumer Preferences," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235432, Agricultural and Applied Economics Association.
    19. Bond, Craig A. & Thilmany, Dawn D. & Bond, Jennifer Keeling, 2008. "What to Choose? The Value of Label Claims to Fresh Produce Consumers," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 33(3), pages 1-26.
    20. Doherty, Edel & Campbell, Danny, 2011. "Demand for improved food safety and quality: a cross-regional comparison," 85th Annual Conference, April 18-20, 2011, Warwick University, Coventry, UK 108791, Agricultural Economics Society.

    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:eee:agisys:v:130:y:2014:i:c:p:1-12. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agsy .

    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.