# AFRPS Maintenance

> **NIH FDA U18** · MICHIGAN STATE DEPT OF AGRICULTURE · 2022 · $225,000

## Abstract

The Michigan Department of Agriculture and Rural Development (MDARD) Animal Feed
Program (AFP) will enhance animal feed safety through the Animal Feed Regulatory Program
Standards (AFRPS) Maintenance Track. The AFRPS cooperative agreement will maintain best
practices, enhance animal feed safety and better direct regulatory activities aimed at reducing
foodborne illness attributed to animal feed safety hazards. Additionally, maintaining and
improving the eleven standards will provide greater efficiency, acceptance by FDA of MDARD
AFP field inspections and laboratory data, improve data quality and response time.
In this cooperative agreement proposal, MDARD AFP outlines goals and objectives on how it
will maintain a comprehensive strategic plan to continue significant conformance to the AFRPS.
In this proposal, MDARD AFP also establishes its ability to continue working with the state
laboratory in order to guarantee valid and defensible laboratory testing data to protect human
and animal health.
The continuous improvement of MDARD’s AFP through the AFRPS will assist both Michigan
and the FDA to better direct regulatory activities toward increasing food safety in the United
States and move closer to the goal of creating a national, fully integrated food safety system.

## Key facts

- **NIH application ID:** 10572007
- **Project number:** 1U18FD007645-01
- **Recipient organization:** MICHIGAN STATE DEPT OF AGRICULTURE
- **Principal Investigator:** Carrie L. Andrich
- **Activity code:** U18 (R01, R21, SBIR, etc.)
- **Funding institute:** FDA
- **Fiscal year:** 2022
- **Award amount:** $225,000
- **Award type:** 1
- **Project period:** 2022-07-01 → 2025-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10572007

## Citation

> US National Institutes of Health, RePORTER application 10572007, AFRPS Maintenance (1U18FD007645-01). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10572007. Licensed CC0.

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