ArticleEvolutionary applications2024
Efficient population representation with more genetic markers increases performance of a steelhead (Oncorhynchus mykiss) genetic stock identification baseline.
Article in Evolutionary applications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- Riverscape heterogeneity shapes population diversity for a migratory fish.Ecological applications : a publication of the Ecological Society of America · 2026Article
- GT-Seq Panel Development for Species Identification and Parentage Analysis of Closely Related Hybridising Scaphirhynchus Sturgeons.Molecular ecology resources · 2026Article
- The Genomics Revolution in Nonmodel Species: Predictions vs. Reality for Salmonids.Molecular ecology · 2025Review
- A Multipurpose Microhaplotype Panel for Genetic Analysis of California Chinook Salmon.Evolutionary applications · 2025Article
- A free lunch: microhaplotype discovery in an existing amplicon panel improves parentage assignment for the highly polymorphic Pacific oyster.G3 (Bethesda, Md.) · 2025Article
- Advances in salmonid genetics-Insights from Coastwide and beyond.Evolutionary applications · 2024Article
- Efficient population representation with more genetic markers increases performance of a steelhead (Oncorhynchus mykiss) genetic stock identification baseline.Evolutionary applications · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genetic stock identification (GSI) is an important fisheries management tool to identify the origin of fish harvested in mixed stock fisheries. Periodic updates of genetic baselines can improve performance via the addition of unsampled or under-sampled populations and the inclusion of more informative markers. We used a combination of baselines to evaluate how population representation, marker number, and marker type affected the performance and accuracy of genetic stock assignments (self-assignment, bias, and holdout group tests) for steelhead (
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