Using Pig Genomic Sequence to Determine Underlying Mutations Affecting a Pig SSC17 Meat Quality QTL: New Developments

dc.contributor.author Fan, Bin
dc.contributor.author Rothschild, Max
dc.contributor.author Rothschild, Max
dc.date 2018-08-25T22:48:35.000
dc.date.accessioned 2020-06-29T23:30:33Z
dc.date.available 2020-06-29T23:30:33Z
dc.date.copyright Mon Jan 01 00:00:00 UTC 2007
dc.date.issued 2007-01-01
dc.description.abstract <p>Improving pork quality is a high priority and a challenging task for the current pig industry. Because of the complicated properties of meat quality, breeding innovations for improved meat quality meat traits requires more knowledge of modern molecular and quantitative genetics than traditional breeding approaches. On the basis of previous quantitative trait loci (QTL) mapping results of our research group, additional SNPs markers were further mined and QTL fine mapping was implemented. We continue to search for additional markers to explain the meat quality effects seen on chromosome 17.</p>
dc.identifier archive/lib.dr.iastate.edu/ans_air/vol653/iss1/58/
dc.identifier.articleid 1270
dc.identifier.contextkey 3327101
dc.identifier.doi https://doi.org/10.31274/ans_air-180814-86
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath ans_air/vol653/iss1/58
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/8403
dc.language.iso en
dc.relation.ispartofseries Animal Science Research Reports
dc.source.bitstream archive/lib.dr.iastate.edu/ans_air/vol653/iss1/58/R2232.pdf|||Sat Jan 15 01:00:37 UTC 2022
dc.subject.disciplines Agriculture
dc.subject.disciplines Animal Sciences
dc.subject.keywords ASL R2232
dc.title Using Pig Genomic Sequence to Determine Underlying Mutations Affecting a Pig SSC17 Meat Quality QTL: New Developments
dc.type article
dc.type.genre swine
dspace.entity.type Publication
relation.isAuthorOfPublication a5915699-0c8a-411e-a601-1564d7090ab9
relation.isJournalIssueOfPublication 70de9dc8-be88-49a2-93ca-08fadeb8478d
relation.isSeriesOfPublication 7f3839b7-b833-4418-a6fa-adda2b23950a
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