Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/54620
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Su, H | en |
dc.contributor.author | Bijma, P | en |
dc.contributor.author | Van Der Werf, J | en |
dc.contributor.author | Dekkers, J C M | en |
dc.date.accessioned | 2023-04-28T03:26:06Z | - |
dc.date.available | 2023-04-28T03:26:06Z | - |
dc.date.issued | 2018-04 | - |
dc.identifier.citation | Journal of Animal Science, 96(Supplement 2), p. 19-19 | en |
dc.identifier.issn | 1525-3163 | en |
dc.identifier.issn | 0021-8812 | en |
dc.identifier.uri | https://hdl.handle.net/1959.11/54620 | - |
dc.description.abstract | <p> Theory to predict selection response in traditional livestock breeding programs has been well developed, validated and implemented in software in the past decades, for example in SelAction (Rutten et al. 2002), which has been successful as a tool to predict selection response in traditional livestock breeding programs for a wide range of population structures and selection strategies. This software used standard quantitative genetics theory and selection index theory to develop deterministic recursive equations, which model changes of trait means and variance-covariance structures to predict asymptotic response to multiple trait selection using best linear unbiased prediction (BLUP) estimated breeding values (EBV). Nowadays genetic improvement can further be enhanced by genomic predictions, which provide more accurate estimates of breeding values of animals in their earlier life and can improve the efficiency of breeding programs. While statistical methods to estimate genomic breeding values are now widely available, optimizing the use of genomics in practical livestock breeding programs is limited due to the lack of computer software that implements available theories. We’re hereby to present a computer program that extends SelAction. Genomic information is included as the average phenotype of groups of individuals with both genotypic and phenotypic information following Wientjes et al. (2016). The heterogeneity of genomic information is considered in terms of the degree of relationship between selection candidates and the individuals that are both genotyped and phenotyped (van der Werf et al., 2015). This software can be used by breeders to reliably compare alternative breeding programs and for investment decisions for breeding programs that include genomic information. Funded by USDA-NIFA grant #2017-67015-26299. </p> | en |
dc.language | en | en |
dc.publisher | American Society of Animal Science | en |
dc.relation.ispartof | Journal of Animal Science | en |
dc.title | Software Development for Deterministic Prediction of Selection Response in Livestock Breeding Programs Using Genomic Information | en |
dc.type | Conference Publication | en |
dc.relation.conference | ASAS-CSAS 2018: 2018 American Society of Animal Science and Canadian Society of Animal Science Annual Meeting and Trade Show | en |
dc.identifier.doi | 10.1093/jas/sky073.033 | en |
local.contributor.firstname | H | en |
local.contributor.firstname | P | en |
local.contributor.firstname | J | en |
local.contributor.firstname | J C M | en |
local.profile.school | School of Environmental and Rural Science | en |
local.profile.email | jvanderw@une.edu.au | en |
local.output.category | E3 | en |
local.record.place | au | en |
local.record.institution | University of New England | en |
local.date.conference | 8th - 12th July, 2018 | en |
local.conference.place | Vancouver, Canada | en |
local.publisher.place | United States of America | en |
local.identifier.runningnumber | 35 | en |
local.format.startpage | 19 | en |
local.format.endpage | 19 | en |
local.identifier.volume | 96 | en |
local.identifier.issue | Supplement 2 | en |
local.contributor.lastname | Su | en |
local.contributor.lastname | Bijma | en |
local.contributor.lastname | Van Der Werf | en |
local.contributor.lastname | Dekkers | en |
dc.identifier.staff | une-id:jvanderw | en |
local.profile.orcid | 0000-0003-2512-1696 | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.identifier.unepublicationid | une:1959.11/54620 | en |
local.date.onlineversion | 2018-04-10 | - |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
local.title.maintitle | Software Development for Deterministic Prediction of Selection Response in Livestock Breeding Programs Using Genomic Information | en |
local.relation.fundingsourcenote | USDA-NIFA grant #2017-67015-26299 | en |
local.output.categorydescription | E3 Extract of Scholarly Conference Publication | en |
local.conference.details | ASAS-CSAS 2018: 2018 American Society of Animal Science and Canadian Society of Animal Science Annual Meeting and Trade Show, Vancouver, Canada, 8th - 12th July, 2018 | en |
local.search.author | Su, H | en |
local.search.author | Bijma, P | en |
local.search.author | Van Der Werf, J | en |
local.search.author | Dekkers, J C M | en |
local.uneassociation | Yes | en |
dc.date.presented | 2018 | - |
local.atsiresearch | No | en |
local.conference.venue | Vancouver Convention Centre | en |
local.sensitive.cultural | No | en |
local.identifier.wosid | 000452635300031 | en |
local.year.available | 2018 | en |
local.year.published | 2018 | en |
local.year.presented | 2018 | en |
local.fileurl.closedpublished | https://rune.une.edu.au/web/retrieve/641c0865-f73e-4fa2-bac7-9efcc389e27c | en |
local.subject.for2020 | 310207 Statistical and quantitative genetics | en |
local.subject.seo2020 | 100401 Beef cattle | en |
local.date.start | 2018-07-08 | - |
local.date.end | 2018-07-12 | - |
local.profile.affiliationtype | External Affiliation | en |
local.profile.affiliationtype | External Affiliation | en |
local.profile.affiliationtype | UNE Affiliation | en |
local.profile.affiliationtype | External Affiliation | en |
Appears in Collections: | Conference Publication School of Environmental and Rural Science |
Files in This Item:
File | Size | Format |
---|
Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.