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Economic Threshold for Dynamically Optimal Late Blight Management

Author

Listed:
  • Liu, Yangxuan
  • Langemeier, Michael
  • Gramig, Benjamin
  • Preckel, Paul
  • Small, Ian
  • Joseph, Laura
  • Fry, William

Abstract

This study evaluates economic thresholds for a new web-based decision support system developed for precision fungicide management for potato production. We extend previous work (Zhang and Swinton, 2009), by developing an intra-seasonal dynamic economic optimization model. This model allows us to evaluate economic thresholds for disease control. The suggested model is applied to the problem of controlling potato late blight disease in 152 locations for 5 major potato producing states in the United States. The empirical results show that the economic thresholds improved disease suppression and farming profit relative to the previous critical thresholds while maintaining fungicide use efficiency.

Suggested Citation

  • Liu, Yangxuan & Langemeier, Michael & Gramig, Benjamin & Preckel, Paul & Small, Ian & Joseph, Laura & Fry, William, 2016. "Economic Threshold for Dynamically Optimal Late Blight Management," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230080, Southern Agricultural Economics Association.
    • Handle: RePEc:ags:saea16:230080
    DOI: 10.22004/ag.econ.230080
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    References listed on IDEAS

    as
    1. Zhang, Wei & Swinton, Scott M., 2009. "Incorporating natural enemies in an economic threshold for dynamically optimal pest management," Ecological Modelling, Elsevier, vol. 220(9), pages 1315-1324.
    2. Liu, Yangxuan & Langemeier, Michael & Small, Ian & Joseph, Laura & Fry, William, 2015. "Risk management strategies using potato precision farming technology," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205417, Agricultural and Applied Economics Association.
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