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Published on: February 11, 2020
Kinship-based management strategies for captive breeding programs when pedigrees are unknown or uncertain
1the Department of Life Sciences, San Diego Zoo Global, PO Box 120551, San Diego, CA 92112-0551.
Accurate pedigrees are crucial for zoo breeding programs. For Arabian oryx (Oryx leucoryx), recording multiple potential parents in pedigrees, rather than excluding unknown genetic information, better maintains genetic diversity and avoids inbreeding.
Area of Science:
- Conservation genetics
- Population management
- Wildlife biology
Background:
- Zoo-based captive breeding programs require accurate pedigrees for genetic diversity and inbreeding avoidance.
- Assigning parentage in mixed-sex captive populations can be challenging without DNA analysis.
Purpose of the Study:
- To model and compare kinship-based and nonkinship-based breeding-pair selection strategies for Arabian oryx (Oryx leucoryx).
- To evaluate the performance of these strategies in managing pedigrees with parentage uncertainty.
- To assess the long-term ability to maintain gene diversity (GD) and avoid inbreeding.
Main Methods:
- Simulated demographic parameters of a North American captive Arabian oryx population.
- Modeled two kinship-based and two nonkinship-based breeding-pair selection strategies.
- Compared simulated pedigrees under different management strategies for GD and inbreeding.
Main Results:
- Kinship-based strategies significantly outperformed nonkinship-based strategies.
- Recording multiple possible parents, instead of excluding unknown genomic portions, improved breeding efficiency.
- The chosen strategies effectively utilized all available animals without compromising GD and inbreeding avoidance.
Conclusions:
- For Arabian oryx, managing pedigrees by including potential parents is more effective than excluding uncertain genetic information.
- Kinship-based selection strategies are superior for maintaining genetic health in captive populations with uncertain parentage.
- These findings offer valuable insights for optimizing conservation breeding programs.
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