Evidence map›Paper›PMID 38183016›Full record

ArticleGenetics, selection, evolution : GSE2024

Validation of reaction norm breeding values for robustness in Australian sheep.

Dominic L Waters, Sam A Clark, Daniel J Brown, Samuel F Walkom, Julius H J van der Werf

Erratum issuedAbstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Dominic L WatersSchool of Environmental & Rural Science, University of New England, Armidale, NSW, 2351, Australia. dwater21@une.edu.au.ORCID http://orcid.org/0000-0003-4697-1243
Sam A ClarkSchool of Environmental & Rural Science, University of New England, Armidale, NSW, 2351, Australia.
Daniel J BrownAnimal Genetics and Breeding Unit, University of New England, Armidale, NSW, 2351, Australia.
Samuel F WalkomAnimal Genetics and Breeding Unit, University of New England, Armidale, NSW, 2351, Australia.
Julius H J van der WerfSchool of Environmental & Rural Science, University of New England, Armidale, NSW, 2351, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere can be variation between animals in how stable their genetic merit is across different environments due to genotype-by-environment (G×E) interactions. This variation could be used in breeding programs to select robust genotypes that combine high overall performance with stable genetic ranking across environments. There have been few attempts to validate breeding values for robustness in livestock, although this is a necessary step towards their implementation in selection decisions. The objective of this study was to validate breeding values for the robustness of body weight across different growth environments that were estimated using reaction norm models in sheep data.

resultsUsing threefold cross-validation for the progeny of 337 sires, the average correlation between single-step breeding values for the reaction norm slope and the realised robustness of progeny across different growth environments was 0.21. The correlation between breeding values for the reaction slope estimated independently in two different datasets linked by common sires was close to the expected correlation based on theory.

conclusionsSlope estimated breeding values (EBV) obtained using reaction norm models were predictive of the phenotypic robustness of progeny across different environments and were consistent for sires with progeny in two different datasets. Selection based on reaction norm EBV could be used to increase the robustness of a population to environmental variation.

Indexed as

LivestockAnimalsAustraliaBody WeightGenotypeReference ValuesSheep

Identifiers

PMID38183016
PMCPMC10768286

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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.