breeding-advisor

Sheep breeding pairings for parasite resistance are optimized by evaluating FAMACHA scores and FEC metrics alongside pedigree data. This process generates actionable mating recommendations that maximize flock health and resilience.

Evaluating sheep matings for meat quality and coat shedding uses per-animal metrics including FAMACHA, FEC, coat shedding, age, weight, and pedigree. These inputs validate data structure and compute risk-aware compatibility scores.

Breeding pipeline placement is managed by mapping stage-appropriate placements within a seven-pen breeding loop. This sustains genetic progress by recommending specific pen assignments based on computed animal scoring metrics.

Flock database breeding evaluation requires data structured in JSON format, specifically flock_database.json and breed_reference.json. These files must contain per-animal metrics like FAMACHA, FEC, weight, and pedigree for validation.

Culling or advancing sheep based on FAMACHA and FEC scores occurs when risk-aware scoring identifies animals failing parasite resistance thresholds. This data-driven evaluation guides removal or advancement decisions within the breeding pipeline.