Application of Genomic Information to Longitudinal Traits

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dc.contributor.author Wolc, Anna
dc.contributor.author Wolc, Anna
dc.contributor.author Arango, Jesus
dc.contributor.author Settar, Petek
dc.contributor.author Fulton, Janet
dc.contributor.author O'Sullivan, Neil
dc.contributor.author Preisinger, Rudolf
dc.contributor.author Fernando, Rohan
dc.contributor.author Garrick, Dorian
dc.contributor.author Dekkers, Jack
dc.date 2018-08-25T18:16:54.000
dc.date.accessioned 2020-06-29T23:35:16Z
dc.date.available 2020-06-29T23:35:16Z
dc.date.copyright Wed Jan 01 00:00:00 UTC 2014
dc.date.embargo 2014-02-09
dc.date.issued 2014-01-01
dc.description.abstract <p>Random regression models are commonly used for analysis of longitudinal traits measured across time such as egg production in chickens and milk production in cattle. In this study, we include genomic information for evaluation of longitudinal traits using a random regression reduced animal model with a genomic relationship matrix. Substantial increases in accuracy of estimated breeding values were observed when applying the proposed method to egg production records in chickens.</p>
dc.identifier archive/lib.dr.iastate.edu/ans_air/vol660/iss1/66/
dc.identifier.articleid 2010
dc.identifier.contextkey 5091268
dc.identifier.doi https://doi.org/10.31274/ans_air-180814-1185
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath ans_air/vol660/iss1/66
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/9076
dc.language.iso en
dc.relation.ispartofseries Animal Science Research Reports
dc.source.bitstream archive/lib.dr.iastate.edu/ans_air/vol660/iss1/66/R2901.pdf|||Sat Jan 15 01:25:04 UTC 2022
dc.subject.disciplines Agriculture
dc.subject.disciplines Animal Sciences
dc.subject.disciplines Genomics
dc.subject.keywords Animal Science
dc.title Application of Genomic Information to Longitudinal Traits
dc.type article
dc.type.genre poultry
dspace.entity.type Publication
relation.isAuthorOfPublication 7103f024-4508-422f-82ff-1d5e544596a2
relation.isJournalIssueOfPublication 7e474e6a-85cb-446c-9f53-8afe83d5a741
relation.isSeriesOfPublication 7f3839b7-b833-4418-a6fa-adda2b23950a
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