Breeds and breed selection
- Meat, dual-purpose, decorative, show, fur, giant, dwarf, maternal, and commercial-cross categories are covered.
- Selection logic includes fertility, mothering, growth rate, temperament, hardiness, and operational fit.
Research summary
What was actually researched for RabbitBreeder
The product model was not based on guesses. It was built from a structured NotebookLM research pass across breeds, breeding cycles, care, vaccination, reminder logic, and welfare constraints.
Reproduction lifecycle
- The model covers mating, pregnancy check windows, nest preparation, kindling, litter check, weaning, and rebreeding eligibility.
- Reminder timing is derived from breeding-cycle settings instead of ad hoc manual notes.
Care and vaccination
- Doe, buck, and kit care are separated by role and by lifecycle stage.
- Vaccination guidance is stored as a global baseline with explicit country-specific overlays where schedules and legal requirements differ.
Welfare, meat workflow, and reminders
- The slaughter section stays at welfare, readiness, withdrawal, and compliance level only.
- The reminder engine translates research into actionable farmer tasks, alerts, and escalations.
Research outputs used by the product
- RabbitBreeder Knowledge Base — Breeds, Reproduction, Care, Vaccination
- RabbitBreeder Product Spec — Reminder Algorithms and Farm Workflows
- RabbitBreeder Risk Register — Gaps, Regional Variance, and Conflicting Guidance
Important boundary
Vaccination schedules, slaughter compliance, transport rules, and withdrawal requirements are not globally uniform. The system treats them as baseline guidance plus jurisdiction-specific overlays instead of pretending one rule fits every country.