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Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/55583
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dc.contributor.authorSteel, Cameronen
dc.contributor.authorMcGilchrist, Peteren
dc.contributor.authorCowley, Francesen
dc.date.accessioned2023-08-07T02:31:02Z-
dc.date.available2023-08-07T02:31:02Z-
dc.date.issued2022-
dc.identifier.urihttps://hdl.handle.net/1959.11/55583-
dc.description.abstractA compilation of industry stakeholder data for the production and grading of grain-fed beef cattle across southern QLD and northern NSW. Contains 6 year retrospective MSA carcass grading data. 2011-2017. Compiled as cattle lot group data with N <10 removed. Contains BOM weather data from stations close to each of the corresponding cattle sources (Feedlots) Contains Feedlot data collected from the relative lots of cattle including, induction, health, exit and trucking records. Contains weather data captured and amalgamated from on site weather stations where available from feedlots and processors of cattle origin. Recorded in 15-minute or 30 minute increments. The files are recorded and compiled as .csv. The MSA grading feedback files as well as the relative feedlot, processor and weather data were combined and amalgamated to investigate the impacts of factors across the grain-fed cattle supply chain, to discover factors that are contributing to dark cutting beef.en
dc.format.extent.csven
dc.languageenen
dc.publisherUniversity of New Englanden
dc.relation.urihttps://hdl.handle.net/1959.11/55582en
dc.titleInvestigating the factors contributing to dark cutting in Australian Grain Fed Cattle - Dataseten
dc.typeDataseten
dc.identifier.doi10.25952/j12h-7847en
dcterms.accessRightsMediateden
dcterms.rightsHolderUniversity of New Englanden
dc.subject.keywordsDark cuttingen
dc.subject.keywordscattleen
dc.subject.keywordsfeedloten
dc.subject.keywordsWeatheren
dc.subject.keywordsbeefen
local.contributor.firstnameCameronen
local.contributor.firstnamePeteren
local.contributor.firstnameFrancesen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailcsteel5@une.edu.auen
local.profile.emailpmcgilc2@une.edu.auen
local.profile.emailfcowley@une.edu.auen
local.output.categoryXen
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeArmidale, Australiaen
local.contributor.lastnameSteelen
local.contributor.lastnameMcGilchristen
local.contributor.lastnameCowleyen
dc.identifier.staffune-id:csteel5en
dc.identifier.staffune-id:pmcgilc2en
dc.identifier.staffune-id:fcowleyen
local.profile.orcid0000-0003-3265-1134en
local.profile.orcid0000-0002-6475-1503en
local.profile.rolecreatoren
local.profile.rolesupervisoren
local.profile.rolesupervisoren
local.identifier.unepublicationidune:1959.11/55583en
dc.identifier.academiclevelStudenten
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleInvestigating the factors contributing to dark cutting in Australian Grain Fed Cattle - Dataseten
local.relation.fundingsourcenoteMeat and Livestock Australia (MLA)en
local.output.categorydescriptionX Dataseten
local.search.authorSteel, Cameronen
local.search.supervisorMcGilchrist, Peteren
local.search.supervisorCowley, Francesen
local.datasetcontact.nameCameron Steelen
local.datasetcontact.emailcamcsteel@gmail.comen
local.datasetcustodian.nameCameron Steelen
local.datasetcustodian.emailcamcsteel@gmail.comen
local.datasetcontact.detailsCameron Steel - camcsteel@gmail.comen
local.datasetcustodian.detailsCameron Steel - camcsteel@gmail.comen
dcterms.ispartof.projectBflt.0399en
dcterms.source.datasetlocationUniversity of New Englanden
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2022en
local.subject.for2020300399 Animal production not elsewhere classifieden
local.subject.seo2020241303 Carcass meat (incl. fish and seafood)en
dc.coverage.placeSouthern Qld and Northern NSWen
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeUNE Affiliationen
Appears in Collections:Dataset
School of Environmental and Rural Science
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