Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/55410
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dc.contributor.authorNel, C Len
dc.contributor.authorSteyn, Yen
dc.contributor.authorGilmour, A Ren
dc.contributor.authorWaters, Den
dc.contributor.authorClark, S Aen
dc.contributor.authorvan der Werf, J H Jen
dc.contributor.authorSwan, A Aen
dc.contributor.authorDzama, Ken
dc.contributor.authorCloete, S W Pen
dc.date.accessioned2023-07-25T05:00:29Z-
dc.date.available2023-07-25T05:00:29Z-
dc.date.issued2023-04-13-
dc.identifier.citationAnimal Production Science, 63(11), p. 1017-1030en
dc.identifier.issn1836-5787en
dc.identifier.issn1836-0939en
dc.identifier.urihttps://hdl.handle.net/1959.11/55410-
dc.description.abstract<p><b>Context.</b> Coping with high levels of cold stress should be beneficial to survival of lambs, given the high mortality rate associated with severe winter storms. The Elsenburg Merino selection experiment involved divergent selection for reproduction. Phenotypic results comparing the positively selected H-Lines and negatively selected L-Lines suggested that cold-stress adaption could have contributed to the favourable genetic trends for survival of H-Line lambs. However, observing the genetic merit of better adapted animals depends on the presence of cold stress at the time of recording. A genotype by environment component (G × E) could, thus, be important when assessing survival/mortality phenotypes. <b>Aim.</b> This study proposed the genetic analysis of this possible G × E component and compared the H- and L-Lines in this regard. <b>Methods.</b> The sire model allowed the use of progeny phenotypes for neonatal mortality recorded during different levels of cold stress, and the possible G × E could be investigated through the reaction-norm approach. Genetic parameters were evaluated as random regression components by implementing a Gibbs sampling approach. A data set of 5723 individual lamb records was analysed as the progeny of 213 sires. <b>Results.</b> A modelled G × E component played an important role in mortality outcomes, with the mean estimate (and 95% confidence interval) for the slope (σ<sup>2</sup><sub>sb</sub> = 0.113[0.0019–0.28]) only marginally smaller than the corresponding estimate for the intercept (σ<sup>2 </sup><sub>sa</sub> = 0.124[0.003–0.26]). The reaction-norm model showed a higher heritability (h<sup>2 </sup>± posterior standard deviation) for mortality at 3 days of age during high cold-stress (0.22 ± 0.16 at ~1100 KJm<sup>−2</sup>h<sup>−1</sup>) than during mild (0.13 ± 0.10 at ~960 KJm<sup>−2</sup>h<sup>−1</sup>) conditions, suggesting a greater ability to discriminate between sires at increasing stress levels. <b>Conclusions.</b> Failure to account for this G × E component putatively contributes to the low <i>h</i><sup>2</sup> commonly reported for survival traits. The higher <i>h</i><sup>2</sup> at increased levels of cold stress could have played an important part in the higher survival of the H-Line progeny, who were better at coping with cold, wet and windy conditions. <b>Implications.</b> Larger studies representing a wider environmental trajectory are recommended. This should be very feasible since cold stress can be derived from commonly available weather-station data.</p>en
dc.languageenen
dc.publisherCSIRO Publishingen
dc.relation.ispartofAnimal Production Scienceen
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleReaction-norm analysis of neonatal lamb mortality suggests heritability varies with cold-stress: an example in the Elsenburg Merino selection linesen
dc.typeJournal Articleen
dc.identifier.doi10.1071/AN22464en
dcterms.accessRightsUNE Greenen
local.contributor.firstnameC Len
local.contributor.firstnameYen
local.contributor.firstnameA Ren
local.contributor.firstnameDen
local.contributor.firstnameS Aen
local.contributor.firstnameJ H Jen
local.contributor.firstnameA Aen
local.contributor.firstnameKen
local.contributor.firstnameS W Pen
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.schoolAnimal Genetics and Breeding Uniten
local.profile.emaildwater21@une.edu.auen
local.profile.emailsclark37@une.edu.auen
local.profile.emailjvanderw@une.edu.auen
local.profile.emailaswan@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeAustraliaen
local.format.startpage1017en
local.format.endpage1030en
local.peerreviewedYesen
local.identifier.volume63en
local.identifier.issue11en
local.title.subtitlean example in the Elsenburg Merino selection linesen
local.access.fulltextYesen
local.contributor.lastnameNelen
local.contributor.lastnameSteynen
local.contributor.lastnameGilmouren
local.contributor.lastnameWatersen
local.contributor.lastnameClarken
local.contributor.lastnamevan der Werfen
local.contributor.lastnameSwanen
local.contributor.lastnameDzamaen
local.contributor.lastnameCloeteen
dc.identifier.staffune-id:dwater21en
dc.identifier.staffune-id:sclark37en
dc.identifier.staffune-id:jvanderwen
dc.identifier.staffune-id:aswanen
local.profile.orcid0000-0003-4697-1243en
local.profile.orcid0000-0001-8605-1738en
local.profile.orcid0000-0003-2512-1696en
local.profile.orcid0000-0001-8048-3169en
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local.identifier.unepublicationidune:1959.11/55410en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleReaction-norm analysis of neonatal lamb mortality suggests heritability varies with cold-stressen
local.relation.fundingsourcenoteFinancial support for this study hinged on contributions by various external funders, including the South African Wool Industry (Cape Wools SA), the Western Cape Agricultural Research Trust (WCART) and the Technology and Human Resources for Industry Program (THRIP) of the South African National Research Foundation (NRF).en
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorNel, C Len
local.search.authorSteyn, Yen
local.search.authorGilmour, A Ren
local.search.authorWaters, Den
local.search.authorClark, S Aen
local.search.authorvan der Werf, J H Jen
local.search.authorSwan, A Aen
local.search.authorDzama, Ken
local.search.authorCloete, S W Pen
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/1d357d87-0fde-4ee7-b6ba-01f0889f691aen
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2023en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/1d357d87-0fde-4ee7-b6ba-01f0889f691aen
local.fileurl.openpublishedhttps://rune.une.edu.au/web/retrieve/1d357d87-0fde-4ee7-b6ba-01f0889f691aen
local.subject.for2020300305 Animal reproduction and breedingen
local.subject.for2020300302 Animal managementen
local.subject.for2020300306 Animal welfareen
local.subject.seo2020109902 Animal welfareen
local.subject.seo2020100412 Sheep for meaten
local.subject.seo2020100499 Livestock raising not elsewhere classifieden
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
Appears in Collections:Journal Article
School of Environmental and Rural Science
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