Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/52466
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dc.contributor.authorWaters, Dominic Len
dc.contributor.authorClark, Sam Aen
dc.contributor.authorMoghaddar, Nasiren
dc.contributor.authorvan der Werf, Julius Hen
dc.date.accessioned2022-06-10T01:47:51Z-
dc.date.available2022-06-10T01:47:51Z-
dc.date.issued2022-06-03-
dc.identifier.citationGenetics Selection Evolution, 54(1), p. 1-12en
dc.identifier.issn1297-9686en
dc.identifier.issn0999-193Xen
dc.identifier.urihttps://hdl.handle.net/1959.11/52466-
dc.description.abstract<p><b>Background:</b> Selection of livestock based on their robustness or sensitivity to environmental variation could help improve the efficiency of production systems, particularly in the light of climate change. Genetic variation in robustness arises from genotype-by-environment (G × E) interactions, with genotypes performing differently when animals are raised in contrasted environments. Understanding the nature of this genetic variation is essential to implement strategies to improve robustness. In this study, our aim was to explore the genetics of robustness in Australian sheep to different growth environments using linear reaction norm models (RNM), with post-weaning weight records of 22,513 lambs and 60 k single nucleotide polymorphisms (SNPs). The use of scale-corrected genomic estimated breeding values (GEBV) for the slope to account for scale-type G × E interactions was also investigated.<br/> <b>Results:</b> Additive genetic variance was observed for the slope of the RNM, with genetic correlations between low- and high-growth environments indicating substantial re-ranking of genotypes (0.44-0.49). The genetic variance increased from low- to high-growth environments. The heritability of post-weaning body weight ranged from 0.28 to 0.39. The genetic correlation between intercept and slope of the reaction norm for post-weaning body weight was low to moderate when based on the estimated (co)variance components but was much higher when based on back-solved SNP effects. An initial analysis suggested that a region on chromosome 11 affected both the intercept and the slope, but when the GEBV for the slope were conditioned on the GEBV for the intercept to remove the effect of scale-type G × E interactions on SNP effects for robustness, a single genomic region on chromosome 7 was found to be associated with robustness. This region included genes previously associated with growth traits and disease susceptibility in livestock.<br/> <b>Conclusions</b> This study shows a significant genetic variation in the slope of RNM that could be used for selecting for increased robustness of sheep. Both scale-type and rank-type G × E interactions contributed to variation in the slope. The correction for scale effects of GEBV for the slope should be considered when analysing robustness using RNM. Overall, robustness appears to be a highly polygenic trait.</p>en
dc.languageenen
dc.publisherBioMed Central Ltden
dc.relation.ispartofGenetics Selection Evolutionen
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleGenomic analysis of the slope of the reaction norm for body weight in Australian sheepen
dc.typeJournal Articleen
dc.identifier.doi10.1186/s12711-022-00734-6en
dcterms.accessRightsUNE Greenen
local.contributor.firstnameDominic Len
local.contributor.firstnameSam Aen
local.contributor.firstnameNasiren
local.contributor.firstnameJulius Hen
local.subject.for2008060412 Quantitative Genetics (incl. Disease and Trait Mapping Genetics)en
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emaildwater21@une.edu.auen
local.profile.emailsclark37@une.edu.auen
local.profile.emailnmoghad4@une.edu.auen
local.profile.emailjvanderw@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeUnited Kingdomen
local.identifier.runningnumber40en
local.format.startpage1en
local.format.endpage12en
local.identifier.scopusid85131184994en
local.peerreviewedYesen
local.identifier.volume54en
local.identifier.issue1en
local.access.fulltextYesen
local.contributor.lastnameWatersen
local.contributor.lastnameClarken
local.contributor.lastnameMoghaddaren
local.contributor.lastnamevan der Werfen
dc.identifier.staffune-id:sclark37en
dc.identifier.staffune-id:nmoghad4en
dc.identifier.staffune-id:jvanderwen
local.profile.orcid0000-0003-4697-1243en
local.profile.orcid0000-0001-8605-1738en
local.profile.orcid0000-0002-3600-7752en
local.profile.orcid0000-0003-2512-1696en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/52466en
dc.identifier.academiclevelStudenten
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleGenomic analysis of the slope of the reaction norm for body weight in Australian sheepen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorWaters, Dominic Len
local.search.authorClark, Sam Aen
local.search.authorMoghaddar, Nasiren
local.search.authorvan der Werf, Julius Hen
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/fd374e46-66c6-4766-827b-56d86ddb789ben
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.identifier.wosid000805816600003en
local.year.published2022en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/fd374e46-66c6-4766-827b-56d86ddb789ben
local.fileurl.openpublishedhttps://rune.une.edu.au/web/retrieve/fd374e46-66c6-4766-827b-56d86ddb789ben
local.subject.for2020310207 Statistical and quantitative geneticsen
local.subject.seo2020100412 Sheep for meaten
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School of Environmental and Rural Science
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