scholarly journals Stock composition and ocean spatial distribution inference from California recreational Chinook salmon fisheries using genetic stock identification

2015 ◽  
Vol 170 ◽  
pp. 166-178 ◽  
Author(s):  
William H. Satterthwaite ◽  
Javier Ciancio ◽  
Eric Crandall ◽  
Melodie L. Palmer-Zwahlen ◽  
Allen M. Grover ◽  
...  
2008 ◽  
Vol 65 (7) ◽  
pp. 1475-1486 ◽  
Author(s):  
Eric C. Anderson ◽  
Robin S. Waples ◽  
Steven T. Kalinowski

Estimating the accuracy of genetic stock identification (GSI) that can be expected given a previously collected baseline requires simulation. The conventional method involves repeatedly simulating mixtures by resampling from the baseline, simulating new baselines by resampling from the baseline, and analyzing the simulated mixtures with the simulated baselines. We show that this overestimates the predicted accuracy of GSI. The bias is profound for closely related populations and increases as more genetic data (loci and (or) alleles) are added to the analysis. We develop a new method based on leave-one-out cross validation and show that it yields essentially unbiased estimates of GSI accuracy. Applying both our method and the conventional method to a coastwide baseline of 166 Chinook salmon ( Oncorhynchus tshawytscha ) populations shows that the conventional method provides severely biased predictions of accuracy for some individual populations. The bias for reporting units (aggregations of closely related populations) is moderate, but still present.


2020 ◽  
Vol 77 (9) ◽  
pp. 1505-1517
Author(s):  
Terry D. Beacham ◽  
Kim Jonsen ◽  
Brenda McIntosh ◽  
Ben J.G. Sutherland ◽  
David Willis ◽  
...  

Direct DNA sequencing is powering a revolution in the application of genetics to resource management, with parentage-based tagging (PBT) increasingly applied to salmon fisheries and hatchery brood stock management and assessment. Genetic stock identification (GSI) and PBT were applied to assessment of 2018 coho salmon (Oncorhynchus kisutch) ocean fisheries and hatchery brood stocks in British Columbia (BC), Canada, with 6391 individuals successfully genotyped in fishery samples and 7805 individuals genotyped in 40 hatchery brood stocks. Population-specific contributions to mixed-stock fisheries and exploitation rates were estimated with coded-wire tags (CWTs) and GSI–PBT technologies for six populations. PBT assignments, verified by CWTs, were 100% accurate for 308 individuals with respect to population of origin and age. There was generally reasonably close agreement of estimated population-specific exploitation rates between CWT and genetic methods. We conclude that a genetic approach can improve upon the results available from the current CWT program for assessment and management of coho salmon fisheries and hatchery brood stocks in BC and provide information critical to aid in implementation of Canada’s Policy for Conservation of Wild Pacific Salmon.


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