Abstract: A Method to Evaluate Genetic Baselines That Use Both Diploid and Haploid Data, Which Avoids Overly Optimistic Simulations (AFS 141st Annual Meeting)

P-129 A Method to Evaluate Genetic Baselines That Use Both Diploid and Haploid Data, Which Avoids Overly Optimistic Simulations

Michael Garvin , Fisheries, University of Alaska Fairbanks, Juneau, AK

Michele M. Masuda , Auke Bay Laboratories, National Marine Fisheries Service, Alaska Fisheries Science Center, Juneau, AK

Jerome Pella , Auke Bay Laboratories, National Marine Fisheries Service, Alaska Fisheries Science Center, Juneau, AK

Rachel Riley , Division of Fisheries, University of Alaska Fairbanks, Juneau, AK

Adam Fuller , Harry K. Dupree Stuttgart National Aquaculture Research Center, Stuttgart, AR

Vladimir Brykov , Zhirmunsky Institute of Marine Biology, Russian Academy of Sciences, Vladivostock, Russia

Anthony J. Gharrett , Division of Fisheries, University of Alaska Fairbanks, Juneau, AK

Accurate genetic baselines are essential to perform mixed stock analysis, which is a major component of salmon conservation and management efforts. Current methods to evaluate the accuracy and precision of genetic baselines are either overly-optimistic, or do not accept haploid data. We developed a cross-validation procedure that accepts both haploid and diploid data, avoids overly-optimistic simulations, and can use maximum likelihood or Bayesian methods to evaluate the precision and accuracy of any genetic baseline.

P-129 A Method to Evaluate Genetic Baselines That Use Both Diploid and Haploid Data, Which Avoids Overly Optimistic Simulations

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