Estimation of Stock Composition and Individual Identification of Chinook Salmon across the Pacific Rim by Use of Microsatellite Variation

By T. Beacham, J. Candy, Kim Jonsen, J. Supernault, M. Wetklo, Langtuo Deng, K. Miller, R. Withler, N. Varnavskaya. 2006

100 citations recorded by the source corpus.

Subfields: Genetics, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/64bb2ace2b3b8657b29952bfabe7869dcd43fe25

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In Genetics

In Nature and Landscape Conservation

Citations in the corpus

Genetic and otolith isotopic markers identify salmon populations in the Columbia River at broad and fine geographic scales (2010, background): “Molecular markers have previously been used to identify the genetic origins of Chinook salmon in mixed-stock ocean fisheries at broad scales with great success (Winans et al 2001; Beacham et al. 2006).”
When is bigger better? Early marine residence of middle and upper Columbia River spring Chinook salmon (2012, background): “Prog Oceanogr 83: 49−64 Cross AD, Beauchamp DA, Myers KW, Moss JH (2008) Early marine growth of pink salmon in Prince William Sound and the coastal Gulf of Alaska during years of low and high survival.”
Species and stock identification of prey consumed by endangered southern resident killer whales in their summer range (2010, methodology): “larly using the coast-wide baseline described in Beacham et al. (2006). The 2 baseline databases are similar, each consisting of genotypes from >20000 Chinook salmon sampled from >150 populations ranging from central California to Alaska.”
Pacific Rim Population Structure of Chinook Salmon as Determined from Microsatellite Analysis (2006, background): “The ease of laboratory processing enabled large numbers of fish to be surveyed, and supported a technique that is powerful in elucidating population structure, as well as providing the capability of accurate stock identification in fishery management applications (Beacham et al. 2006a).”
An improved method for predicting the accuracy of genetic stock identification (2008, methodology): “Baseline and mixture genotypes are then simulated from these allele frequencies in the same manner as they are when parametric allele frequencies are known (Fournier et al. 1984; Beacham et al. 2006 ).”