USDA Livestock Management Regulations

USDA’s New Framework for Animal Facility Emergency Management

Understanding USDA APHIS Contingency Planning and Training Rule Implementation

The USDA’s Animal and Plant Health Inspection Service (APHIS) has mandated comprehensive emergency planning requirements for facilities handling regulated animals. This regulation impacts research institutions, animal exhibitors, dealers, and transportation services across the United States.

Key Compliance Requirements for Animal Facilities

Under the Contingency Planning and Training of Personnel Rule (APHIS 2020-0101), affected facilities must:

  • Develop documented emergency response plans
  • Implement staff training within 30 days for new hires
  • Complete annual plan reviews
  • Ensure continuous humane animal care during emergencies

Who Must Comply with USDA Animal Contingency Planning?

The regulation applies specifically to:

  • Research laboratories and facilities
  • Animal dealers and brokers
  • Zoos and animal exhibitions
  • Animal transportation providers
  • Intermediate handling facilities

Timeline and Implementation Requirements

Facilities must maintain compliance with specific deadlines:

  • Initial plans required by July 5, 2022
  • Current staff training within 60 days of plan implementation
  • New employee training within 30 days of hiring
  • Annual review and updates with 30-day notification period

Emergency Planning Best Practices

Successful implementation includes:

  • Cross-departmental collaboration
  • External partner agreements
  • Comprehensive staff training programs
  • Regular plan testing and updates
  • Documentation of all procedures

Contact our regulatory compliance experts to ensure your facility meets USDA APHIS contingency planning requirements. Our regulatory compliance experts can help your facility navigate USDA APHIS contingency planning requirements as part of our comprehensive compliance consulting services. We work with organizations to develop and implement effective regulatory frameworks across multiple domains.