Effective genetic improvement in finfish aquaculture begins with choosing the right breeding strategy, whether based on mass selection, family-based selection, or genomic selection. Each strategy varies in cost, complexity, and potential genetic gain, and selecting among them requires balancing breeding objectives, operational capacity, and expected commercial outcomes. Straightforward traits such as growth can be improved with simpler strategies, whereas complex traits - such as robustness, disease resistance, and correlated traits - benefit from more advanced strategies supported by modern genetic tools.
Within these strategies, genotyping, germ cell transfer (GCT), and genome editing (GE) serve as powerful tools to accelerate or enhance breeding outcomes. Genotyping enables accurate estimation of breeding values, improves selection intensity, and supports genomic selection programs for traits that are difficult or costly to measure. GCT offers a reproductive tool to boost efficiency by allowing sterilized surrogate hosts to produce donor-derived gametes. This is particularly useful for species with long generation intervals or challenging reproductive biology, enabling faster turnover of elite genetics and expanding breeding capacity. GE provides a precision tool that can introduce targeted modifications within a single generation, complementing the broader selective breeding strategy rather than replacing it.
Robust genetic progress ultimately relies on integrating phenotypic data, genotypic data, and operationally feasible breeding structures. This presentation evaluates how various genetic tools - genotyping technologies, germ cell transfer, and genome editing - can be embedded within well-designed breeding strategies to deliver sustainable, long-term improvements across multiple species. By aligning tools with strategy and commercial priorities, producers can build resilient breeding programs that strengthen husbandry foundations, enhance performance traits, and maximize returns on investment throughout the production cycle.