Evidence map›Paper›PMID 34025775›Full record

ArticleEvolutionary applications2021

Mixed-stock analysis using Rapture genotyping to evaluate stock-specific exploitation of a walleye population despite weak genetic structure.

Peter T Euclide, Tom MacDougall, Jason M Robinson, Matthew D Faust, Chris C Wilson, Kuan-Yu Chen, Elizabeth A Marschall, Wesley Larson, Stuart Ludsin

Open access · goldAbstract read
In one paragraph

Article in Evolutionary applications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
7.1field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 30 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 2 countries.

Peter T EuclideWisconsin Cooperative Fishery Research Unit, College of Natural Resources University of Wisconsin-Stevens Point Stevens Point WI USA.ORCID https://orcid.org/0000-0002-1212-0435
Tom MacDougallLake Erie Management Unit Ontario Ministry of Natural Resources and Forestry Port Dover ON Canada.
Jason M RobinsonLake Erie Fisheries Research Unit New York State Department of Environmental Conservation Dunkirk NY USA.
Matthew D FaustDivision of Wildlife, Sandusky Fisheries Research Station Ohio Department of Natural Resources Sandusky OH USA.
Chris C WilsonAquatic Research and Monitoring Section Ontario Ministry of Natural Resources and Forestry Peterborough ON Canada.ORCID https://orcid.org/0000-0002-9528-0652
Kuan-Yu ChenAquatic Ecology Laboratory, Department of Evolution, Ecology, and Organismal Biology The Ohio State University Columbus OH USA.ORCID https://orcid.org/0000-0001-9904-0886
Elizabeth A MarschallAquatic Ecology Laboratory, Department of Evolution, Ecology, and Organismal Biology The Ohio State University Columbus OH USA.ORCID https://orcid.org/0000-0002-8026-4203
Wesley LarsonU.S. Geological Survey, Wisconsin Cooperative Fishery Research Unit, College of Natural Resources University of Wisconsin-Stevens Point Stevens Point WI USA.ORCID https://orcid.org/0000-0003-4473-3401
Stuart LudsinAquatic Ecology Laboratory, Department of Evolution, Ecology, and Organismal Biology The Ohio State University Columbus OH USA.ORCID https://orcid.org/0000-0002-3866-2216
The Ohio State University · USMinistry of Natural Resources and Forestry · CANew York State Department of Environmental Conservation · USOhio Department of Natural Resources · USUnited States Geological Survey · USUniversity of Wisconsin–Stevens Point · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mixed-stock analyses using genetic markers have informed fisheries management in cases where strong genetic differentiation occurs among local spawning populations, yet many fisheries are supported by multiple, weakly differentiated stocks. Freshwater fisheries exemplify this problem, with many populations supported by multiple stocks of young evolutionary age and isolated across small spatial scales. Consequently, attempts to conduct genetic mixed-stock analyses of inland fisheries have often been unsuccessful. Advances in genomic sequencing offer the ability to discriminate among populations with weak population structure, providing the necessary resolution to conduct mixed-stock assignment among previously indistinguishable stocks. We used genomic data to conduct a mixed-stock analysis of eastern Lake Erie's commercial and recreational walleye (

Indexed as

fisheries managementgenetic stock identificationGreat LakesPortfolio theoryRAD‐captureRAD‐seqstock discrimination

Identifiers

PMID34025775
PMCPMC8127713
OpenAlexW3129485032

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.