Fly pressure management, heat stress modeling, feed conversion analysis, zebra stripe IPM effectiveness, and livestock productivity science β powered by USDA ARS animal agriculture research.
Current USDA NASS livestock and dairy prices. Auto-populates cattle price and milk price used in THI production loss and fly pressure impact calculations (SF13-S.001, S.002).
Source: USDA NASS Animals & Products. Monthly price estimates. Reference values.
USDA ARS Knipling-Bushland Livestock Insects Laboratory economic thresholds and production impact benchmarks. Auto-populates fly count thresholds (SF13-S.002), THI stress levels (SF13-S.001), and zebra stripe effectiveness (SF13-S.003).
Source: USDA ARS Knipling-Bushland U.S. Livestock Insects Research Laboratory, Kerrville, TX.
Compares the cost of inaction (full production loss) against the cost of intervention by strategy, highlighting the economic gap. Load NASS prices first for accurate dollar values.
Tip: Use these gap values to pre-populate the Fly Control Strategy Comparison in SF13-E.001.
Calculate the Temperature Humidity Index to assess heat stress risk in livestock. Uses USDA ARS and NRC thresholds for cattle, swine, and poultry. Predicts production loss onset and severity.
Quantify biting fly (horn fly, face fly, stable fly, horse fly) pressure on livestock using USDA ARS economic threshold models. Determines intervention trigger levels based on species, fly type, and production system.
Model the fly reduction effectiveness and production benefit of zebra stripe painting on cattle. Based on Kojima et al. (2019) peer-reviewed research showing ~50% reduction in biting fly landings via visual motion disruption.
Calculate feed conversion ratio and feed efficiency relative to USDA ARS benchmarks. Identifies production efficiency gaps and quantifies the impact of heat stress or fly pressure on FCR deterioration.
Calculate herd reproductive efficiency using conception rate, pregnancy rate, and calving interval metrics. Models the impact of heat stress on reproductive performance using USDA ARS and University extension research.