Evidence map›Paper›PMID 39687575›Full record

ArticleEvolutionary applications2024

Complications of Estimating Hatchery Introgression in the Face of Rapid Divergence: A Case Study in Brook Trout (

Bradley Erdman, Wesley Larson, Matthew G Mitro, Joanna D T Griffin, David Rowe, Justin Haglund, Kirk Olson, Michael T Kinnison

Abstract read
In one paragraph

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Bradley ErdmanSchool of Biology and Ecology, Ecology and Environmental Sciences Program University of Maine Orono Maine USA.ORCID https://orcid.org/0009-0003-6771-2184
Wesley LarsonAuke Bay Laboratories, Alaska Fisheries Science Center, National Marine Fisheries Service National Oceanic and Atmospheric Administration Juneau Alaska USA.
Matthew G MitroWisconsin Department of Natural Resources Office of Applied Science Madison Wisconsin USA.
Joanna D T GriffinWisconsin Department of Natural Resources Bureau of Watershed Management Madison Wisconsin USA.
David RoweWisconsin Department of Natural Resources Bureau of Fisheries Management Fitchburg Wisconsin USA.
Justin HaglundWisconsin Department of Natural Resources Bureau of Fisheries Management Dodgeville Wisconsin USA.
Kirk OlsonWisconsin Department of Natural Resources Bureau of Fisheries Management La Crosse Wisconsin USA.
Michael T KinnisonSchool of Biology and Ecology, Ecology and Environmental Sciences Program University of Maine Orono Maine USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fish stocking has been utilized for over a century to offset extirpations or declines in abundance of many native species. These historical declines and hatchery contributions have led to uncertainty surrounding whether many contemporary populations are native, introgressed with hatchery sources, or entirely of hatchery origin. Such uncertainty is problematic for the conservation of native biodiversity as it hampers management agencies' ability to prioritize the conservation of indigenous locally adapted populations. Fortunately, genetic and genomic tools have allowed researchers to investigate these questions, often through the use of clustering or assignment approaches that are predicated on identifiable and consistent divergence between native populations and hatchery sources. Here, we apply these methods to restriction-site associated DNA (RAD) data from 643 brook trout (

Indexed as

brook troutfisheries managementgenomicshatchery introgressionsalmonidsimulation

Identifiers

PMID39687575
PMCPMC11648973

What OpenQuestion holds

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LicenceCC BY
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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.