Evidence map›Paper›PMID 40341819›Full record

ArticlePloS one2025

Validating Atlantic salmon (Salmo Salar) scale reading by genetic parent assignment and PIT-tagging.

Kjell Rong Utne, Marine Servane Ono Brieuc, Per Tommy Fjeldheim, Kurt Urdal, Gunnel Marie Østborg, Kevin A Glover, Alison Harvey, Øystein Skaala

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kjell Rong UtneDepartment of population genetics, Institute of Marine Research, Bergen, Norway.ORCID 0000-0002-6428-3690
Marine Servane Ono BrieucDepartment of population genetics, Institute of Marine Research, Bergen, Norway.
Per Tommy FjeldheimDepartment of population genetics, Institute of Marine Research, Bergen, Norway.
Kurt UrdalRådgivende Biologer AS, Bergen, Norway.
Gunnel Marie ØstborgDepartment salmonids, Norwegian Institute for Nature Research (NINA), Trondheim, Norway.
Kevin A GloverDepartment of population genetics, Institute of Marine Research, Bergen, Norway.
Alison HarveyDepartment of population genetics, Institute of Marine Research, Bergen, Norway.
Øystein SkaalaDepartment of population genetics, Institute of Marine Research, Bergen, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding changes in abundance and survival in Atlantic salmon populations requires knowledge of growth rates and age. Salmon are typically aged through scale reading, but such estimates are rarely validated against age-verified fish from the wild. Here, we present a unique dataset of scales from 254 PIT-tagged Atlantic salmon with known sea-age. In addition, the freshwater age is known for 81 of these fish, through genetic parent-offspring identification. This dataset was used to estimate precision and bias in age readings and back-calculated length, as estimated by three independent experienced salmon scale readers. Overall, readers had an accuracy of 97.1% for sea-age and 71.7% for freshwater-age. For sea-age, scale reading was less accurate for salmon that had spent 2 or more years at sea than for salmon that had spent 1 year at sea. Freshwater age did however not affect scale reading accuracy. None of the scale readers erroneously misclassified freshwater- or sea-age with more than one year, and there was no significant pattern of misclassified ages to be under- or overestimate by the scale readers. Back-calculated smolt length was significantly different to length when measured as a smolt prior to seaward migration: it was shorter than the measured body-length for small smolts and longer for large smolts. This unique dataset, including the age-validated images of all scales, is now made openly available providing an important resource for training and testing salmon scale readers globally.

Indexed as

Animal ScalesSalmo salarAnimalsFresh Water

Identifiers

PMID40341819
PMCPMC12061416

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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.