Evidence map›Paper›PMID 30886391›Full record

ArticleHeredity2019

Genomic selection strategies for breeding adaptation and production in dairy cattle under climate change.

Ismo Strandén, Juha Kantanen, Isa-Rita M Russo, Pablo Orozco-terWengel, Michael W Bruford, Climgen Consortium

Open access · bronzeAbstract read
In one paragraph

Article in Heredity, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 50 citations in OpenAlex.

  1. Journal of animal science and technology · 2026
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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 at 2 institutions in 2 countries.

Ismo StrandénNatural Resources Institute Finland (Luke), Jokioinen, Finland. Ismo.Stranden@Luke.fi.ORCID http://orcid.org/0000-0003-0161-2618
Juha KantanenNatural Resources Institute Finland (Luke), Jokioinen, Finland.
Isa-Rita M RussoSchool of Biosciences, Cardiff University, Sir Martin Evans Building, Museum Avenue, Cardiff, CF10 3AX, Wales, UK.
Pablo Orozco-terWengelSchool of Biosciences, Cardiff University, Sir Martin Evans Building, Museum Avenue, Cardiff, CF10 3AX, Wales, UK.ORCID http://orcid.org/0000-0002-7951-4148
Michael W BrufordSchool of Biosciences, Cardiff University, Sir Martin Evans Building, Museum Avenue, Cardiff, CF10 3AX, Wales, UK.
Climgen Consortium
Cardiff University · GBNatural Resources Institute Finland · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Livestock production both contributes to and is affected by global climate change, and substantial modifications will be required to increase its climate resilience. In this context, reliance on dominant commercial livestock breeds, featuring small effective population sizes, makes current production strategies vulnerable if their production is restricted to environments, which may be too costly to support under future climate scenarios. The adaptability of animal populations to future environments will therefore become important. To help evaluate the role of genetics in climate adaptation, we compared selection strategies in dairy cattle using breeding simulations, where genomic selection was used on two negatively correlated traits for production (assumed to be moderately heritable) and adaptation (assumed to have low heritability). Compared with within-population breeding, genomic introgression produced a more positive genetic change for both production and adaptation traits. Genomic introgression from highly adapted but low production value populations into highly productive but low adaptation populations was most successful when the adaptation trait was given a lower selection weight than the production trait. Genomic introgression from highly productive population to highly adapted population was most successful when the adaptation trait was given a higher selection weight than the production trait. Both these genomic introgression schemes had the lowest risk of inbreeding. Our results suggest that both adaptation and production can potentially be improved simultaneously by genomic introgression.

Indexed as

DairyingModels, GeneticQuantitative Trait, HeritableSelection, GeneticAdaptation, PhysiologicalAnimalsBreedingCattleClimate ChangeComputer SimulationFemaleGenetic IntrogressionMalePolymorphism, Single NucleotideQuantitative Trait Loci

Identifiers

PMID30886391
PMCPMC6781144
OpenAlexW2919673687

What OpenQuestion holds

Textmetadata
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.