FOOD ANIMAL RESIDUE AVOIDANCE DATABANK (FARAD)

  • Jaberi-douraki, M M. (Investigador principal)

Detalles del proyecto

Descripción

The Food Animal Residue Avoidance Databank (FARAD) program is a national food safety program funded since 1982 by USDA and is a collaborative effort with five regional centers: Kansas State University (KSU), North Carolina State University, University of California, Davis, University of Florida, and Virginia-Maryland College of Veterinary Medicine. The goal of FARAD is to provide the most updated information and scientific tools to help the production of safe foods of animal origin. The program accomplishes this goal through its objectives: (1) to identify, extract, assemble, evaluate and distribute reviewed information about residue avoidance and mitigation to people involved in residue avoidance programs; (2) to develop tools that allow people to predict proper withdrawal intervals after extralabel drug use. To continue to fulfill the mission of FARAD, during 2019-2020, the specific objectives at KSU include: (1) to develop a Physiological Parameter Database in several food animal species, including cattle, swine, goats, sheep, chickens, and turkeys, (2) to develop a centralized physiologically-based pharmacokinetic (PBPK) platform for drugs in food animals, (3) to continue optimizng a PBPK model for flunixin in cattle, (4) to expand FARAD databases to develop global connection, and (5) to develop a HTML webpage and an artificial intelligence system for global FARAD program. The proposed research is important as it will provide tools for FARAD responders to calculate withdrawal intervals after extralabel drug use in different food animal species, which is needed because AMDUCA permits extralabel drug use in food animals by veterinarians.

EstadoFinalizado
Fecha de inicio/Fecha fin1/9/1931/8/22

Financiación

  • National Institute of Food and Agriculture: USD340,000.00

!!!ASJC Scopus Subject Areas

  • Alimentación
  • Alimentación animal
  • Agricultura y biología (todo)

Huella digital

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