Evidence map›Paper›PMID 41039215›Full record

ArticleGenetics, selection, evolution : GSE2025

Genetic correlations of environmental sensitivity based on daily feed intake perturbations with economically important traits in a male pig line.

Tomasi Tusingwiire, Carolina Garcia-Baccino, Bruno Ligonesche, Catherine Larzul, Zulma G Vitezica

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Article in Genetics, selection, evolution : GSE, 2025. 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

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Tomasi TusingwiireGenPhySE, Université de Toulouse, INRAE, ENVT, 31326, Castanet-Tolosan, France. tomasi.tusingwiire@inrae.fr.ORCID http://orcid.org/0009-0006-2433-8884
Carolina Garcia-BaccinoSAS NUCLEUS, 35650, Le Rheu, France.
Bruno LigonescheSAS NUCLEUS, 35650, Le Rheu, France.
Catherine LarzulGenPhySE, Université de Toulouse, INRAE, ENVT, 31326, Castanet-Tolosan, France.
Zulma G VitezicaGenPhySE, Université de Toulouse, INRAE, ENVT, 31326, Castanet-Tolosan, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPigs in intensive production systems encounter various stressors that negatively impact their productivity and welfare. The primary aim of this study was to estimate the genetic correlations of the slope (indicator of sensitivity of the animals to environmental challenges) of the daily feed intake (DFI) across different environmental gradients (probability of the occurrence of a challenge on a given day) with growth, feed efficiency, carcass, and meat quality traits using a single-step reaction norm animal model (RNAM) in Piétrain pigs. In addition, genetic correlations of DFI (its total breeding value) with the same traits were also estimated. The probabilities of the occurrence of an unrecorded environmental challenge, inferred via a Gaussian mixture model, were taken as a reference and used in the genetic analysis as an environmental descriptor. Variance components were estimated via restricted maximum likelihood using the single-step genomic best linear unbiased prediction method, using a series of multivariate RNAM with two phenotypes (DFI and each of the traits of economic importance), with the probability of an unrecorded challenge on a given day included as an environmental descriptor for DFI only, because DFI is recorded daily but the other traits are not.

resultsGenetic correlations of the slope of DFI were 0.15 with age at 100 kg, 0.04 with backfat thickness, - 0.29 with loin muscle thickness, 0.05 with feed conversion ratio, - 0.07 with lean meat percentage, - 0.13 with pH of the ham at 24 h postmortem, 0.06 with drip loss percentage, and 0.15 with boneless ham weight. Complementary results showed that genetic correlations of DFI with other economic traits varied across the environmental gradients.

conclusionsEstimates of genetic correlations of DFI with other traits of economic importance varied across the environmental gradients, especially for growth rate, which suggests the presence of genotype-by-environment interactions. The slope of DFI is an indicator of sensitivity of the animals to environmental challenges. Most traits of economic importance exhibited weak genetic correlations with the slope of DFI, indicating that selection for resilience based on the environmental sensitivity (slope of DFI) can be performed without adversely affecting these other traits. Our results demonstrate the feasibility of improving resilience through genetic selection.

Indexed as

EatingGene-Environment InteractionQuantitative Trait, HeritableAnimalsBreedingEnvironmentMaleMeatModels, GeneticPhenotypeSwine

Identifiers

PMID41039215
PMCPMC12492946

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LicenceCC BY
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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.