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Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/23470
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dc.contributor.authorSmits, Ren
dc.contributor.authorMorley, W Cen
dc.contributor.authorBunter, Kim Len
dc.date.accessioned2018-07-10T11:38:00Z-
dc.date.issued2017-
dc.identifier.citationAnimal Production Science, 57(12), p. 2485-2485en
dc.identifier.issn1836-5787en
dc.identifier.issn1836-0939en
dc.identifier.urihttps://hdl.handle.net/1959.11/23470-
dc.description.abstractModern sow genotypes have changed considerably since body composition studies were conducted over 25 years ago on Australian genotypes. Earlier predictive equations were developed on datasets of slaughtered gilts and first-litter sows (e.g. Mullan and Williams 1990) or used genotypes from the United Kingdom (Large White × Landrace crossed with Landrace × Meishan; Gill 2006). As part of a larger project to evaluate sow lifetime performance and longevity over several parities (Smits et al. 2017), we established predictive equations based on measured live animal data for body protein and fat of sows before mating for Australian maternal genotypes. The hypothesis was that predicted and actual tissues reserves were similar.en
dc.languageenen
dc.publisherCSIRO Publishingen
dc.relation.ispartofAnimal Production Scienceen
dc.relation.ispartofseriesManipulating Pig Productionen
dc.titlePredicting body protein and body fat for breeding sows of a modern commercial genotypeen
dc.typeConference Publicationen
dc.relation.conferenceAPSA 2017: 16th Biennial Conference of the Australasian Pig Science Associationen
dc.identifier.doi10.1071/ANv57n12Ab006en
dc.subject.keywordsAnimal Breedingen
local.contributor.firstnameRen
local.contributor.firstnameW Cen
local.contributor.firstnameKim Len
local.subject.for2008070201 Animal Breedingen
local.subject.seo2008830308 Pigsen
local.profile.schoolAnimal Genetics and Breeding Uniten
local.profile.emailkbunter2@une.edu.auen
local.output.categoryE3en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20180411-120123en
local.date.conference19th - 22nd November, 2017en
local.conference.placeMelbourne, Australiaen
local.publisher.placeAustraliaen
local.format.startpage2485en
local.format.endpage2485en
local.series.issn1324-9177en
local.series.number16en
local.peerreviewedYesen
local.identifier.volume57en
local.identifier.issue12en
local.contributor.lastnameSmitsen
local.contributor.lastnameMorleyen
local.contributor.lastnameBunteren
local.seriespublisherAustralasian Pig Science Association, Incen
local.seriespublisher.placeAustraliaen
dc.identifier.staffune-id:kbunter2en
local.profile.orcid0000-0001-5587-4416en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:23652en
dc.identifier.academiclevelAcademicen
local.title.maintitlePredicting body protein and body fat for breeding sows of a modern commercial genotypeen
local.output.categorydescriptionE3 Extract of Scholarly Conference Publicationen
local.relation.urlhttp://www.apsa.asn.au/Conference2017.aspxen
local.conference.detailsAPSA 2017: 16th Biennial Conference of the Australasian Pig Science Association, Melbourne, Australia, 19th - 22nd November, 2017en
local.search.authorSmits, Ren
local.search.authorMorley, W Cen
local.search.authorBunter, Kim Len
local.uneassociationUnknownen
local.year.published2017en
local.subject.for2020300305 Animal reproduction and breedingen
local.subject.seo2020100410 Pigsen
local.date.start2017-11-19-
local.date.end2017-11-22-
Appears in Collections:Animal Genetics and Breeding Unit (AGBU)
Conference Publication
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