Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/53675
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMiller, Stephenen
dc.date.accessioned2022-11-15T00:19:31Z-
dc.date.available2022-11-15T00:19:31Z-
dc.date.issued2022-
dc.identifier.citationReproduction, Fertility and Development, 35(2), p. 98-105en
dc.identifier.issn1448-5990en
dc.identifier.issn1031-3613en
dc.identifier.urihttps://hdl.handle.net/1959.11/53675-
dc.description.abstractThe use of genotype information to improve the predictability of Expected Progeny Difference was first implemented in American Angus cattle in 2009 and has now grown to where over 50% of all registered calves are genotyped. Animals with only a genotype now have genetic prediction accuracy equivalent to eight or more progeny records across all traits. Reproductive technologies have also been widely adopted with approximately 50% of all calves born being the result of artificial insemination. Non-surgical embryo transfer started increasing in the mid 1990s with just over 10% of calves born being the result of embryo transfer since 2005. The number of embryos created with in vitro technologies has risen sharply since 2015 and now accounts for close to 30% of all ET calves. Genomics has enabled embryo technologies to be more impactful, as females can be selected with greater accuracy and sires can be used at earlier ages with moderate accuracy. Large numbers of females genotyped each year also increases the number of selection candidates, increasing the selection intensity. Genomics, combined with increased recording, also provides more information on females. This increases the spread in the estimated index values of current dams, identifying more elite dams for selection as embryo donors. The greater scope of female selection also contributes to better inbreeding management. Commercial animals genotyped could be targeted for oocyte harvesting at slaughter, creating opportunities for low cost high value beef embryos to be used in the beef on dairy segment of the industry.en
dc.languageenen
dc.publisherCSIRO Publishingen
dc.relation.ispartofReproduction, Fertility and Developmenten
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleGenomic selection in beef cattle creates additional opportunities for embryo technologies to meet industry needsen
dc.typeJournal Articleen
dc.identifier.doi10.1071/RD22233en
dcterms.accessRightsGolden
local.contributor.firstnameStephenen
local.profile.schoolAnimal Genetics and Breeding Uniten
local.profile.emailsmille66@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeAustraliaen
local.format.startpage98en
local.format.endpage105en
local.peerreviewedYesen
local.identifier.volume35en
local.identifier.issue2en
local.access.fulltextYesen
local.contributor.lastnameMilleren
dc.identifier.staffune-id:smille66en
local.profile.orcid0000-0001-5273-352Xen
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/53675en
local.date.onlineversion2022-11-09-
dc.identifier.academiclevelAcademicen
local.title.maintitleGenomic selection in beef cattle creates additional opportunities for embryo technologies to meet industry needsen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorMiller, Stephenen
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.available2022en
local.year.published2022en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/bcda54c2-92db-425f-842c-ce000e8807cden
local.subject.for2020300305 Animal reproduction and breedingen
local.subject.seo2020100401 Beef cattleen
Appears in Collections:Animal Genetics and Breeding Unit (AGBU)
Journal Article
Files in This Item:
3 files
File Description SizeFormat 
Show simple item record

SCOPUSTM   
Citations

5
checked on Sep 28, 2024

Page view(s)

394
checked on Mar 9, 2023

Download(s)

6
checked on Mar 9, 2023
Google Media

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons