Optimised parent selection and minimum inbreeding mating in small aquaculture breeding schemes: a simulation study.

Area of Science:

• Aquaculture
• Animal Breeding
• Quantitative Genetics

Background:

• Small aquaculture breeding programs face challenges in balancing genetic gain with inbreeding management.
• Traditional breeding schemes may not be cost-effective or efficient for limited populations.

Purpose of the Study:

• To assess low-cost breeding scheme designs for small aquaculture programs.
• To evaluate methods for achieving genetic gain while controlling inbreeding.

Main Methods:

• Stochastic simulation of 15 generations with selection on a single trait.
• Comparison of Optimal Parent Selection (OPS) with truncation selection (TS).
• Evaluation of random mating (RM) versus Minimum Inbreeding Mating (MIM) strategies.

Main Results:

• Combined OPS and MIM achieved similar genetic gain to TS and RM but reduced inbreeding by approximately 75% over 15 generations.
• Best Linear Unbiased Prediction (BLUP) with full genotyping increased genetic merit by 11% but also significantly raised inbreeding.
• Common environmental effects had minimal impact on small breeding scheme performance.

Conclusions:

• OPS and MIM offer a viable strategy for managing inbreeding in small aquaculture breeding programs.
• Effective inbreeding management is achievable with 30-40 males and 30-40 females.
• Genotyping strategies need careful consideration to balance genetic gain and inbreeding control.