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Reliable Method for Assessing Seed Germination, Dormancy, and Mortality under Field Conditions
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A Framework for Optimizing Phytosanitary Thresholds in Seed Systems.

Robin Alan Choudhury1, Karen A Garrett1, Steven J Klosterman1

  • 1First and second authors: Plant Pathology Department, Institute for Sustainable Food Systems, and Emerging Pathogens Institute, University of Florida, Gainesville 32611; third author: U.S. Department of Agriculture-Agricultural Research Service, 1636 E. Alisal St., Salinas 93905; and first, fourth, and fifth authors: Department of Plant Pathology, University of California, Davis 95616.

Phytopathology
|July 21, 2017
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Summary
This summary is machine-generated.

Optimizing phytosanitary thresholds for seedborne pathogens balances economic costs with reduced inoculum. This framework helps prevent pathogen spread in agricultural systems, demonstrated with spinach downy mildew control.

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Area of Science:

  • Agricultural Science
  • Plant Pathology
  • Biosecurity

Background:

  • Seedborne pathogens and pests significantly limit agricultural production worldwide.
  • Existing quarantine programs primarily focus on exotic pathogens, with limited regulations for endemic pathogen spread.
  • Phytosanitary thresholds are used to limit pathogen movement via seed, but high costs of rejected seed lots hinder voluntary adoption.

Purpose of the Study:

  • To develop an optimized framework for setting seedborne pathogen thresholds.
  • To balance the economic costs of rejected seed lots against the benefits of reduced pathogen inoculum.
  • To provide a robust and data-efficient method for improving seed health regulations.

Main Methods:

  • Outlined a framework for optimizing phytosanitary thresholds for seedborne pathogens.
  • Developed a method balancing seed lot rejection costs with inoculum reduction benefits.
  • Illustrated the framework with a case study on *Peronospora effusa* oospores in spinach seed.

Main Results:

  • A seed lot threshold of 0.23 oospores per seed for *Peronospora effusa* can reduce overall inoculum by 90%.
  • This threshold would result in the rejection of 8% of seed lots.
  • The proposed method requires minimal data initially, improving accuracy over time.

Conclusions:

  • The developed framework offers an effective approach to optimize seedborne pathogen thresholds.
  • Implementing optimized thresholds can significantly reduce pathogen spread in agricultural systems.
  • This method provides a cost-effective strategy for seed producers and regulatory bodies.