IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Enhancing Farm Profitability through Portfolio Analysis: The Case of Spatial Rice Variety Selection

  • Nalley, Lawton Lanier
  • Barkley, Andrew P.
  • Brad, Watkins
  • Hignight, Jeffrey A.

The objectives of this paper is to use the large depth of existing literature on portfolio theory and apply it to rice varietal selection for 6 counties in the Arkansas Delta. Results based on 1999-2006 data suggests that combining available varieties using portfolio theory could have increased profits from 3 to 26% (dependent on location) in the Arkansas Delta. The major implication of this research is that data and statistical tools are available to improve the choice of rice varieties to plant each year in specific locations within Arkansas. Specifically, there are large potential gains from combining varieties that are characterized by inverse yield responses to growing conditions such as drought, pest infestation, or the presence of a specific disease.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://purl.umn.edu/45648
Download Restriction: no

Paper provided by Southern Agricultural Economics Association in its series 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia with number 45648.

as
in new window

Length:
Date of creation: Jan 2009
Date of revision:
Handle: RePEc:ags:saeana:45648
Contact details of provider: Web page: http://www.saea.org/

More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Annou, Mamane Malam & Thomsen, Michael R. & Hansen, James M. & Wailes, Eric J. & Cramer, Gail L., 2001. "Implications Of Rice Biotechnology On Optimal Rice Crop Rotation In The Mississippi River Delta Region," Staff Papers 15774, University of Arkansas, Department of Agricultural Economics and Agribusiness.
  2. Andrew P. Barkley & Lori L. Porter, 1996. "The Determinants of Wheat Variety Selection in Kansas, 1974 to 1993," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(1), pages 202-211.
  3. Barkley, Andrew P. & Peterson, Hikaru Hanawa, 2008. "Wheat Variety Selection: An Application of Portfolio Theory to Improve Returns," 2008 Conference, April 21-22, 2008, St. Louis, Missouri 37597, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:ags:saeana:45648. 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)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.