Baygene.
Breeding for resilience.
Faster growth is no longer enough. Baygene helps breeding programs find the shrimp that hold survival, growth and feed efficiency under real-world disease and environmental pressure — and select them faster.
From observation to predictive selection.
Conventional selection leans on growth and survival observed across many generations. Baygene turns phenotypic, genotypic and environmental data into one continuous loop: capture, analyze, identify, predict, select, validate.
Capture
Photo-based evidence turns phenotypic observations — growth, survival, health, behaviour, stress response — into consistent, structured data.
Integrate
Genotypic data from breeding and genetic-supply partners is combined with pond, creek and disease conditions.
Predict and select
AI surfaces relationships between genotype, phenotype and environment, so breeders can select for resilience in fewer generations.
Validate
The next generation goes back into the loop. Every cycle shortens the gap between genetic input and real-world performance.
Not the fastest shrimp. The shrimp that keeps performing.
The objective is shrimp that perform reliably in the environments where they are actually farmed. Baygene is in development; these are the dimensions it is built to select against.
Under disease pressure
Persistent pathogen load, not clean-tank conditions.
Under environmental stress
Rising organic loads, shifting pond and creek conditions.
Efficiency that holds
Consistent conversion when conditions are no longer ideal.
A shorter feedback loop
Genetic input → performance → analysis → selection → next generation.