Research-grade models for Varroa mite resistance, amitraz synergist efficacy, treatment optimization, colony survival, and pollination value. Based on ARS/UC Davis ABC transporter resistance research.
Model SF5-S.001 · Scientific
Assess amitraz resistance risk in your colony based on treatment history, mite load, and monitoring data. Outputs 0–100 risk score.
Model SF5-S.002 · Scientific
Model amitraz efficacy with and without ABC transporter inhibitor synergists. Based on Fine et al. (2025) ARS/UC Davis resistance mechanism research.
Model SF5-S.003 · Scientific
Compare amitraz, oxalic acid, formic acid, and thymol across efficacy, resistance impact, and benefit-cost ratio for your colony profile.
Model SF5-S.004 · Scientific
Determine the optimal number of Varroa treatments per year based on mite population dynamics, colony goals, and reinfestation pressure.
Model SF5-S.005 · Scientific
Multi-factor colony survival model incorporating mite load, DWV status, colony strength, seasonal factors, and virus-vectoring risk.
Model SF5-S.006 · Scientific
Quantify crop revenue at risk from Varroa-induced forager impairment. Models the cascade from mite load → DWV → colony deficit → yield loss.
Aligned with USDA Secretary Rollins' Priority #3: Protecting Agriculture from Invasive Species. These 6 scientific calculators translate Dr. Julia Fine's ARS Pollinator Health Research Laboratory (Davis, CA) and UC Davis collaborative research on ABC transporter-mediated amitraz tolerance into actionable farm-level models.
For economic analysis, revenue protection, and ROI calculations, see the 💰 Economics Calculators →