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The Impact of the Kansas Wheat Breeding Program on Wheat Yields, 1911-2006

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  • Nalley, Lawton Lanier
  • Barkley, Andrew
  • Chumley, Forrest

Abstract

This paper quantifies advances of the Kansas Agricultural Experiment Station (KAES) wheat breeding program for two time periods: (1) 1911 to 2006 and (2) 1977 to 2006. Using multiple regression, increases in yields of wheat varieties grown in Kansas are quantified, holding growing conditions and other improvements in productivity constant. Differences in KAES variety yields and those released by other public and private breeders are quantified. During the “new age” of wheat breeding (1977-2006), wheat breeding alone is found to have increased yields by 6.182 bushels per acre, or an average increase of 0.206 bushels per year.

Suggested Citation

  • Nalley, Lawton Lanier & Barkley, Andrew & Chumley, Forrest, 2008. "The Impact of the Kansas Wheat Breeding Program on Wheat Yields, 1911-2006," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 40(3), pages 913-925, December.
  • Handle: RePEc:cup:jagaec:v:40:y:2008:i:03:p:913-925_00
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    1. K. J. Arrow, 1971. "The Economic Implications of Learning by Doing," Palgrave Macmillan Books, in: F. H. Hahn (ed.), Readings in the Theory of Growth, chapter 11, pages 131-149, Palgrave Macmillan.
    2. Foster, William E. & Babcock, Bruce A., 1993. "Commodity Policy, Price Incentives, And The Growth In Per-Acre Yields," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 25(01), pages 1-13, July.
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    1. Barkley, Andrew P. & Chumley, Forrest G., 2012. "A Doubled Haploid Laboratory for Kansas Wheat Breeding: An Economic Analysis of Biotechnology Adoption," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 15(2), pages 1-22, May.
    2. Aaron Michael Shew & Alvaro Durand‐Morat & Lawton Lanier Nalley & Karen Ann‐Kuenzel Moldenhauer, 2018. "Estimating the benefits of public plant breeding: beyond profits," Agricultural Economics, International Association of Agricultural Economists, vol. 49(6), pages 753-764, November.
    3. Durai Sundaramoorthi & Lingxiu Dong, 2024. "Machine learning and optimization based decision-support tool for seed variety selection," Annals of Operations Research, Springer, vol. 341(1), pages 5-39, October.
    4. Ko, Minkyong & Ramsey, Austin F., 2022. "Warming Temperatures and Potential Adaptation through Breeding: Evidence from U.S. Soft Winter Wheat," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322102, Agricultural and Applied Economics Association.
    5. Nolan, Elizabeth & Santos, Paulo, 2010. "Measuring the Contribution of Genetic Characteristics as an Indicator of Innovation: The Case of Corn in the USA, 1990-2009," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61333, Agricultural and Applied Economics Association.

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