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🧬 Genetic Health Monitoring in Bee Breeding Programs

A 3D breeding-population model showing how the number of breeder queens and drone fathers drives inbreeding coefficient, effective population size and genetic diversity across generations.

Genetics & Evolution3DAdvanced60 FPS

A 3D apiary breeding population where the number of selected breeder queens and drone fathers, plus the mating scheme, drive effective population size, inbreeding coefficient and genetic diversity over simulated generations.

🔬 What It Demonstrates

Effective population size (Nₑ) depends on both breeder queen and drone father numbers; small Nₑ compounds inbreeding each generation (ΔF = 1/2Nₑ), visibly eroding the allele-diversity cloud above the drone congregation area.

🎮 How to Use

Adjust breeder queens, drone fathers and mating scheme, then scrub the generation slider or press ▶ to auto-advance. Watch hive colour shift from green toward red as inbreeding coefficient F climbs.

💡 Did You Know?

Modern queen-breeding programmes now use SNP genotyping panels to estimate real pedigree-based relatedness directly from DNA, catching inbreeding trends years before symptoms like spotty brood patterns appear.

⚙ Under the hood

A 3D breeding-population model showing how the number of breeder queens and drone fathers drives inbreeding coefficient, effective population size and genetic diversity across generations.

breedingbee geneticspopulation modelinginbreedinggenetic diversitydnaqueensThree.js

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install