Evidence map›Paper›PMID 41158441›Full record

ArticleEvolutionary applications2025

Applying Genomic Offsets to Breeding Programmes: Bridging Evolutionary Insights With Practical Applications.

Samantha V Beck, Samuel A May, Tony Kess, Ian R Bradbury, Emmanuel A Lozada-Soto, Maren Wellenreuther

Abstract read
In one paragraph

Article in Evolutionary applications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. 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

6 authors.

Samantha V BeckInstitute of Freshwater and Biodiversity Conservation, UHI Inverness Inverness Scotland UK.
Samuel A MayUSDA-ARS, National Cold Water Marine Aquaculture Center Orono Maine USA.ORCID https://orcid.org/0000-0002-5312-140X
Tony KessFisheries and Oceans Canada Northwest Atlantic Fisheries Centre St. John's Newfoundland Canada.
Ian R BradburyFisheries and Oceans Canada Northwest Atlantic Fisheries Centre St. John's Newfoundland Canada.
Emmanuel A Lozada-SotoUSDA-ARS, National Animal Germplasm Program Fort Collins Colorado USA.
Maren WellenreutherThe New Zealand Institute for Plant and Food Research Ltd Auckland New Zealand.ORCID https://orcid.org/0000-0002-2764-8291

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As global temperatures rise and become more variable, the capacity of domestic species to adapt, while maintaining production efficiency, is becoming a pressing concern. In this context, genotype-by-environment (GxE) interactions pose a significant challenge for selective breeding, as traits that perform well in one environment may not in another. These interactions complicate the design of breeding programmes that aim to ensure long-term resilience while optimising short-term productivity. Genomic Offsets-a metric that can quantify the mismatch between current and future genotype-environment associations, predicting potential genetic mismatch to environmental change-may offer a promising solution. In this perspective piece, we explore potential applications of genomic offsets in agriculture and aquaculture, including their use as tools for risk assessment, selective breeding and cryopreservation. We discuss how genomic offsets can overcome hurdles posed by GxE interactions, addressing practical considerations such as data requirements and methodological frameworks, and needed validation efforts. By predicting genetic mismatches and guiding the selection of individuals best suited for changing environmental conditions, our proposed

Indexed as

adaptationadaptive breeding frameworkclimate changegenomic selectionoptimum contribution selectionselective breeding

Identifiers

PMID41158441
PMCPMC12557460

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.