Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/28677
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGuy, S Z Yen
dc.contributor.authorBrown, D Jen
dc.date.accessioned2020-05-11T00:33:58Z-
dc.date.available2020-05-11T00:33:58Z-
dc.date.issued2019-
dc.identifier.citationProceedings of the Association for the Advancement of Animal Breeding and Genetics, v.23, p. 584-587en
dc.identifier.issn1328-3227en
dc.identifier.urihttps://hdl.handle.net/1959.11/28677-
dc.description.abstractAustralian beef cattle and sheep breeders have made substantial and sustained genetic gains in growth and carcase yield. This has been achieved through the breeding objective traits of saleable meat yield in beef cattle, and percentage of carcase lean (also known as lean meat yield) in sheep. However, the need to also simultaneously select for eating quality is increasingly being acknowledged. While it is possible to counteract the antagonistic genetic relationships using index selection, data on both eating quality and carcase yield are required. Genomic reference populations play an essential role in obtaining these data. The aim of this paper is to summarise the measurement program of carcase and eating quality traits for Australian beef and sheep genomic reference populations, and the challenges involved in the process of data collection. The paper then discusses enhanced data capture through online objective carcase measurement technologies that will further contribute to genetic gains in eating quality and yield in red meat supply chains. The incorporation of technologies in harsh processing environments is challenging. However, if such technologies are appropriately incorporated in the processing chain, and also validated for the measurement of eating quality and yield for their respective species, this may decrease the cost and increase the efficiency of carcase data collection for genetic improvement. Combined with enhanced processor systems that allow tracking of individual carcases, as well as on-farm information collection and transmission systems, the aim is to move towards better collection and flow of accurate phenotypes to genetic evaluation systems. Enhanced data capture of disease and defect phenotypes are also important. Ultimately, a whole supply chain approach is required to increase collection of accurate carcase measures, which will lead to higher accuracies in estimated breeding values and greater genetic gains in eating quality and carcase yield.en
dc.languageenen
dc.publisherAssociation for the Advancement of Animal Breeding and Genetics (AAABG)en
dc.relation.ispartofProceedings of the Association for the Advancement of Animal Breeding and Geneticsen
dc.titleEnhanced Data Capture in Australian Red Meat Supply Chains for the Genetic Improvement of Eating Quality and Carcase Yielden
dc.typeConference Publicationen
dc.relation.conferenceAAABG 2019: 23rd Conference of the Association for the Advancement of Animal Breeding and Geneticsen
dcterms.accessRightsBronzeen
local.contributor.firstnameS Z Yen
local.contributor.firstnameD Jen
local.subject.for2008070201 Animal Breedingen
local.subject.seo2008830310 Sheep - Meaten
local.profile.schoolAnimal Genetics and Breeding Uniten
local.profile.schoolAnimal Genetics and Breeding Uniten
local.profile.emailsarita.guy@une.edu.auen
local.profile.emaildbrown2@une.edu.auen
local.output.categoryE1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.date.conference27th October - 1st November, 2019en
local.conference.placeArmidale, Australiaen
local.publisher.placeArmidale, Australiaen
local.format.startpage584en
local.format.endpage587en
local.url.openhttp://www.aaabg.org/aaabghome/fullproc23.phpen
local.peerreviewedYesen
local.identifier.volume23en
local.access.fulltextYesen
local.contributor.lastnameGuyen
local.contributor.lastnameBrownen
dc.identifier.staffune-id:sguy6en
dc.identifier.staffune-id:dbrown2en
local.profile.orcid0000-0002-5553-1808en
local.profile.orcid0000-0002-4786-7563en
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/28677en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleEnhanced Data Capture in Australian Red Meat Supply Chains for the Genetic Improvement of Eating Quality and Carcase Yielden
local.relation.fundingsourcenoteAustralian Government Department of Agriculture and Water Resources, as part of its Rural R&D for Profit programme, in partnership with Research and Development Corporations, commercial companies, state departments and universitiesen
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.relation.urlhttp://www.aaabg.org/aaabghome/en
local.conference.detailsAAABG 2019: 23rd Conference of the Association for the Advancement of Animal Breeding and Genetics, Armidale, Australia, 27 October-1 Novemberen
local.search.authorGuy, S Z Yen
local.search.authorBrown, D Jen
local.istranslatedNoen
local.uneassociationYesen
dc.date.presented2019-11-01-
local.atsiresearchNoen
local.conference.venueUniversity of New Englanden
local.sensitive.culturalNoen
local.year.published2019en
local.year.presented2019en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/41ca35f4-e76f-41d8-8385-a5929b3c1e0den
local.subject.for2020300305 Animal reproduction and breedingen
local.subject.seo2020100412 Sheep for meaten
local.date.start2019-10-27-
local.date.end2019-11-01-
Appears in Collections:Animal Genetics and Breeding Unit (AGBU)
Conference Publication
Files in This Item:
2 files
File Description SizeFormat 
Show simple item record

Page view(s)

2,252
checked on Feb 25, 2024

Download(s)

4
checked on Feb 25, 2024
Google Media

Google ScholarTM

Check


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.