Evidence map›Paper›PMID 36426130›Full record

ArticleEvolutionary applications2022

Re-evaluating Coho salmon (

Amanda Xuereb, Quentin Rougemont, Xavier Dallaire, Jean-Sébastien Moore, Eric Normandeau, Bérénice Bougas, Alysse Perreault-Payette, Ben F Koop, Ruth Withler, Terry Beacham and 1 more

Abstract read
In one paragraph

Article in Evolutionary applications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
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

22 citing papers in PubMed.

  1. Article
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  6. Conservation Units for Anadromous Arctic Char (Evolutionary applications · 2026
    Article
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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

11 authors.

Amanda XuerebDépartement de Biologie Institut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec Québec Canada.ORCID https://orcid.org/0000-0002-3975-2299
Quentin RougemontDépartement de Biologie Institut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec Québec Canada.ORCID https://orcid.org/0000-0003-2987-3801
Xavier DallaireDépartement de Biologie Institut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec Québec Canada.ORCID https://orcid.org/0000-0003-2375-561X
Jean-Sébastien MooreDépartement de Biologie Institut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec Québec Canada.ORCID https://orcid.org/0000-0002-3353-3730
Eric NormandeauDépartement de Biologie Institut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec Québec Canada.ORCID https://orcid.org/0000-0003-2841-9391
Bérénice BougasDépartement de Biologie Institut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec Québec Canada.ORCID https://orcid.org/0000-0003-4319-9016
Alysse Perreault-PayetteDépartement de Biologie Institut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec Québec Canada.ORCID https://orcid.org/0000-0002-5404-8267
Ben F KoopDepartment of Biology University of Victoria Victoria British Columbia Canada.
Ruth WithlerDepartment of Fisheries and Ocean Pacific Biological Station Nanaimo British Columbia Canada.
Terry BeachamDepartment of Fisheries and Ocean Pacific Biological Station Nanaimo British Columbia Canada.ORCID https://orcid.org/0000-0003-0987-8445
Louis BernatchezDépartement de Biologie Institut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec Québec Canada.ORCID https://orcid.org/0000-0002-8085-9709

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conservation units (CUs) are important tools for supporting the implementation of standardized management practices for exploited species. Following the adoption of the Wild Salmon Policy in Canada, CUs were defined for Pacific salmon based on characteristics related to ecotype, life history and genetic variation using microsatellite markers as indirect measures of local adaptation. Genomic data sets have the potential to improve the definition of CUs by reducing variance around estimates of population genetic parameters, thereby increasing the power to detect more subtle patterns of population genetic structure and by providing an opportunity to incorporate adaptive information more directly with the identification of variants putatively under selection. We used one of the largest genomic data sets recently published for a nonmodel species, comprising 5662 individual Coho salmon (

Indexed as

conservation genomicsconservation planninggenotype–environment associationgenotyping‐by‐sequencingsalmon

Identifiers

PMID36426130
PMCPMC9679250

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.