🏛️ USDA-ARS · USMARC, Clay Center NE — Dr. Tommy L. Wheeler, Ph.D., Research Leader, MSQRU

🥩 Meat Safety & Quality Research

Research-grade calculators for Salmonella dose-response risk, MicroTally® sampling efficacy, HPS virulence classification, and antimicrobial log-reduction validation — grounded in USDA-ARS MSQRU peer-reviewed science from Dr. Tommy L. Wheeler, Ph.D., Research Leader at USMARC, Clay Center, NE.

📡 USDA Live Data LIVE DATA
Select a source → auto-populate calculators
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AMS LMPR: not loaded | FSIS NARMS: not loaded | Gap analysis: pending
🥩 AMS LMPR
🗩 FSIS NARMS
⚖ Detection vs Prevalence
🥩 USDA AMS LMPR — Carcass & Species Data

Live wholesale meat prices and carcass weight data by species. Auto-populates Carcass Type (SF12-S.004) with USDA average dressed weights for antimicrobial intervention modeling — Beef ~925 lb, Pork ~215 lb, Poultry ~6.3 lb.

Select a species and click Fetch for carcass weights and wholesale prices.

Source: USDA AMS Livestock Mandatory Price Reporting. Reference data used as fallback.

🗩 FSIS NARMS — Pathogen Prevalence Benchmarks

USDA FSIS Salmonella Verification Testing Program — national baseline prevalence and concentration data by species and product category. Auto-populates SF12-S.001 concentration, SF12-S.002 prevalence %, SF12-S.003 log CFU/g by serotype, and SF12-S.004 initial carcass load.

Select species and serotype to load FSIS NARMS baseline prevalence data.

Source: USDA FSIS Salmonella Verification Testing Program. Quarterly updated reference data (2023 annual report).

⚖ Detection Capability vs Prevalence Baseline

Compares FSIS NARMS baseline prevalence against MicroTally® and traditional detection probabilities from SF12-S.002. Shows the gap between what USDA reports is present vs what your current sampling program would actually detect.

Load AMS LMPR and FSIS NARMS first, then click Build Gap Analysis.

Tip: A large gap between NARMS prevalence and your detection probability is the core ROI argument for MicroTally® adoption — use results in SF12-E.001.

🦠 Salmonella Dose-Response Risk Calculator

Model SF12-S.001

Quantitative microbial risk assessment (QMRA) — estimates infection probability from Salmonella exposure in meat products using the Beta-Poisson dose-response model validated by USDA-ARS MSQRU research.

🧪 MicroTally® vs. Traditional Sampling Efficacy

Model SF12-S.002

Compares pathogen detection probability between MicroTally® cloth-based samplers (commercialized by FREMONTA Corp) and traditional sponge/swab methods using binomial detection models — based on USDA-ARS MSQRU validation data.

⚠️ HPS Assay — Virulence Classification Model

Model SF12-S.003

Estimates probability of illness from Highly Pathogenic Salmonella (HPS) strains vs. non-HPS strains using serotype-specific severity weighting — based on the HPS Assay commercialized with Hygiena LLC from USDA-ARS MSQRU research.

🧫 Antimicrobial Intervention Log Reduction

Model SF12-S.004

Calculates expected log reduction of Salmonella from antimicrobial interventions at slaughter (lactic acid, peracetic acid, hot water, SCC) using USDA-FSIS validated performance parameters and USDA-ARS MSQRU decontamination research.

Why AgrStak 🌾 Meat Safety Science Tools?

Built on USDA-ARS MSQRU research from Dr. Tommy L. Wheeler, Ph.D., Research Leader at USMARC, Clay Center, NE — including the science behind MicroTally® cloth-based sampling (commercialized by FREMONTA Corp), Salmonella PiLOT/CAT threshold testing, and the HPS Assay (commercialized by Hygiena LLC). These 4 scientific models translate federal meat safety research into quantitative risk assessments: from QMRA dose-response modeling to antimicrobial log-reduction validation. Part of AgrStak's 431-model platform — patent pending.

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Ask me about MicroTally® ROI, Salmonella risk modeling, HPS virulence, HACCP economics, or antimicrobial interventions.