IDEAS home Printed from
   My bibliography  Save this article

Stochastic Dominance in Wheat Variety Development and Release Strategies


  • Dahl, Bruce L.
  • Wilson, William W.
  • Nganje, William E.


Variety development and release decisions involve tradeoffs between yields and characteristics valued by end-users, as well as uncertainties about agronomic, quality, and economic variables. In this study, methods are developed to determine the value of varieties to growers and end-users including the effects of variability in economic, agronomic, and quality variables. The application is to hard red spring (HRS) wheat, a class of wheat for which these tradeoffs and risks are particularly apparent. Results indicate two experimental varieties provide improvements in grower and end-user value, relative to incumbents. Stochastic dominance techniques and statistical tests are applied to determine efficient sets and robustness of the results. A risk-adjusted portfolio model, which simultaneously incorporates correlations between grower and end-use characteristics, is also developed to compare the portfolio value of varieties.

Suggested Citation

  • Dahl, Bruce L. & Wilson, William W. & Nganje, William E., 2004. "Stochastic Dominance in Wheat Variety Development and Release Strategies," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 29(1), pages 1-18, April.
  • Handle: RePEc:ags:jlaare:31141
    DOI: 10.22004/ag.econ.31141

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. Y.K. Tse & Xibin Zhang, 2003. "A Monte Carlo Investigation of Some Tests for Stochastic Dominance," Monash Econometrics and Business Statistics Working Papers 7/03, Monash University, Department of Econometrics and Business Statistics.
    2. Wilson, William W. & Dahl, Bruce L., 2001. "Evaluation Of Changes In Grade Specifications For Dockage In Wheat," Agribusiness & Applied Economics Report 23624, North Dakota State University, Department of Agribusiness and Applied Economics.
    3. Robinson, Stephen D., 1995. "Selecting wheat varieties in a stochastic environment," 1995 Conference (39th), February 14-16, 1995, Perth, Australia 171091, Australian Agricultural and Resource Economics Society.
    4. Nganje, William E. & Kaitibie, Simeon & Wilson, William W. & Leistritz, F. Larry & Bangsund, Dean A., 2004. "Economic Impacts Of Fusarium Head Blight In Wheat And Barley: 1993-2001," Agribusiness & Applied Economics Report 23627, North Dakota State University, Department of Agribusiness and Applied Economics.
    5. Charles Moss & Grigorios Livanis, 2009. "Implementation of stochastic dominance: a nonparametric kernel approach," Applied Economics Letters, Taylor & Francis Journals, vol. 16(15), pages 1517-1522.
    Full references (including those not matched with items on IDEAS)


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

    Cited by:

    1. repec:eee:agisys:v:162:y:2018:i:c:p:145-153 is not listed on IDEAS
    2. Park, Seong Cheol & Vitale, Jeffrey D. & Turner, Jason Clemn & Stoecker, Arthur L. & Hattey, Jeffory A., 2011. "Economic Potential of Swine Effluent in Intensified Forage Systems in the Southern Plains," Journal of the ASFMRA, American Society of Farm Managers and Rural Appraisers, vol. 2011, pages 1-22, June.
    3. William W. Wilson & Wesley Wilson & Bruce Dahl, 2009. "Protein and the demand for hard wheats ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(2), pages 285-303, April.
    4. Wilson, William W. & McKee, Greg & Nganje, William & Dahl, Bruce & Bangsund, Dean, 2017. "Economic Impact of USWBSI’s Scab Initiative to Reduce FHB," Agribusiness & Applied Economics Report 264672, North Dakota State University, Department of Agribusiness and Applied Economics.
    5. Chang, Hung-Hao & Wen, Fang-I, 2008. "Off-farm Work, Technical Efficiency, and Production Risk: Empirical Evidence from a National Farmer Survey in Taiwan," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6164, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Park, Seong Cheol & Cho, Jaesung & Bevers, Stanley J. & Amosson, Stephen H. & Rudd, Jackie C., 2012. "Dryland Wheat variety selection in the Texas High Plain," 2012 Annual Meeting, February 4-7, 2012, Birmingham, Alabama 119658, Southern Agricultural Economics Association.

    More about this item


    Crop Production/Industries;


    Access and download statistics


    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:31141. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search). General contact details of provider: .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.