Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/23065
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dc.contributor.authorStrucken, Evaen
dc.contributor.authorde Koning, D Jen
dc.contributor.authorBrockmann, Gudrun Aen
dc.date.accessioned2018-05-22T16:48:00Z
dc.date.issued2010en
dc.identifier.citationProceedings of the 9th World Congress on Genetics Applied to Livestock Production, v.Genetics of trait complexes: Lactation - Lecture Sessions, p. 0451-0454en
dc.identifier.urihttps://hdl.handle.net/1959.11/23065en
dc.description.abstractHigh throughput methods have been recently developed to genotype individuals for 50,000 or more single nucleotide polymorphisms (SNPs) in a cost effective way. However, besides increasing the power of association studies by using dense marker maps the importance of the accurate selection of the phenotypic data should not be disregarded. The level of milk production differs between parities and shows a decrease for higher parities. Moreover, differences in milk yield can be observed between different lactations as well as within a single lactation. A lactation curve shows the peak production between day 35 and 50 after which production slowly decreases until the end of the lactation (Stanton et al. 1992, Dematawewa et al. 2007). This study aims to locate genetic effects underlying variation in milk production over time. In order to estimate genetic effects between lactations the average production level for each cow was considered. To estimate genetic effects within a lactation, lactation curve parameters were estimated.en
dc.languageenen
dc.publisherWCGALP 2010en
dc.relation.ispartofProceedings of the 9th World Congress on Genetics Applied to Livestock Productionen
dc.titleSNP-Chip analysis for investigating genetic effects over a timelineen
dc.typeConference Publicationen
dc.relation.conferenceWorld Congress on Genetics Applied to Livestock Production (WCGALP), Leipzig, Germany, 1st - 6th August, 2010en
dcterms.accessRightsGolden
dc.subject.keywordsAnimal Breedingen
local.contributor.firstnameEvaen
local.contributor.firstnameD Jen
local.contributor.firstnameGudrun Aen
local.subject.for2008070201 Animal Breedingen
local.subject.seo2008970107 Expanding Knowledge in the Agricultural and Veterinary Sciencesen
local.subject.seo2008830507 Unprocessed or Minimally Processed Milken
local.subject.seo2008830302 Dairy Cattleen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailestrucke@une.edu.auen
local.output.categoryE1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20180503-163929en
local.publisher.placeLeipzig, Germanyen
local.format.startpage0451en
local.format.endpage0454en
local.url.openhttp://www.wcgalp.org/proceedings/2010/snp-chip-analysis-investigating-genetic-effects-over-timelineen
local.peerreviewedYesen
local.identifier.volumeGenetics of trait complexes: Lactation - Lecture Sessionsen
local.access.fulltextYesen
local.contributor.lastnameStruckenen
local.contributor.lastnamede Koningen
local.contributor.lastnameBrockmannen
dc.identifier.staffune-id:estruckeen
local.profile.orcid0000-0002-2715-0733en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:23249en
dc.identifier.academiclevelAcademicen
local.title.maintitleSNP-Chip analysis for investigating genetic effects over a timelineen
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.conference.detailsWorld Congress on Genetics Applied to Livestock Production (WCGALP), Leipzig, Germany, 1st - 6th August, 2010en
local.description.statisticsepubsVisitors: 1<br />Views: 1<br />Downloads: 0en
local.search.authorStrucken, Evaen
local.search.authorde Koning, D Jen
local.search.authorBrockmann, Gudrun Aen
local.uneassociationUnknownen
local.year.published2010en
Appears in Collections:Conference Publication
School of Environmental and Rural Science
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