Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/55413
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dc.contributor.authorMacNeil, Michael Den
dc.contributor.authorBerry, Donagh Pen
dc.contributor.authorClark, Sam Aen
dc.contributor.authorCrowley, John Jen
dc.contributor.authorScholtz, Michiel Men
dc.date.accessioned2023-07-25T05:18:57Z-
dc.date.available2023-07-25T05:18:57Z-
dc.date.issued2021-07-
dc.identifier.citationTranslational Animal Science, 5(3), p. 1-12en
dc.identifier.issn2573-2102en
dc.identifier.urihttps://hdl.handle.net/1959.11/55413-
dc.description.abstract<p>Information on body weight and average daily gain (ADG) of growing animals is key not only to monitoring performance, but also for use in genetic evaluations in the pursuit of achieving sustainable genetic gain. Accurate calculation of ADG, however, requires serial measures of body weight over at least 70 days. This can be resource intensive and thus alternative approaches to predicting individual animal ADG warrant investigation. One such approach is the use of continuously collected individual animal partial body weights. The objective of the present study was to determine the utility of partial body weights in predicting both body weight and ADG; a secondary objective was to deduce the appropriate length of test to determine ADG from partial body weight records. The dataset used consisted of partial body weights, predicted body weights and recorded body weights recorded for 8,972 growing cattle from a range of different breed types in 35 contemporary groups. The relationships among partial body weight, predicted body weight and recorded body weight at the beginning and end of the performance test were determined and calculated ADG per animal from each body weight measure were also compared. On average, partial body weight explained 90.7 ± 2.0% of the variation in recorded body weight at the beginning of the post-weaning gain test and 87.9 ± 2.9% of the variation in recorded body weight at its end. The GrowSafe proprietary algorithm to predict body weight from the partial body weight strengthened these coefficients of determination to 95.1 ± 0.9% and 94.9 ± 0.8%, respectively. The ADG calculated from the partial body weight or from the predicted body weight were very strongly correlated (<i>r</i> = 0.95); correlations between these ADG values with those calculated from the recorded body weights were weaker at 0.81 and 0.78, respectively. For some applications, ADG may be measured with sufficient accuracy with a test period of 50 days using partial body weights. The intended inference space is to individual trials which have been represented in this study by contemporary groups of growing cattle from different genotypes.</p>en
dc.languageenen
dc.publisherOxford University Pressen
dc.relation.ispartofTranslational Animal Scienceen
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleEvaluation of partial body weight for predicting body weight and average daily gain in growing beef cattleen
dc.typeJournal Articleen
dc.identifier.doi10.1093/tas/txab126en
dc.identifier.pmid34430801en
dcterms.accessRightsUNE Greenen
local.contributor.firstnameMichael Den
local.contributor.firstnameDonagh Pen
local.contributor.firstnameSam Aen
local.contributor.firstnameJohn Jen
local.contributor.firstnameMichiel Men
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailsclark37@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeUnited States of Americaen
local.identifier.runningnumbertxab126en
local.format.startpage1en
local.format.endpage12en
local.peerreviewedYesen
local.identifier.volume5en
local.identifier.issue3en
local.access.fulltextYesen
local.contributor.lastnameMacNeilen
local.contributor.lastnameBerryen
local.contributor.lastnameClarken
local.contributor.lastnameCrowleyen
local.contributor.lastnameScholtzen
dc.identifier.staffune-id:sclark37en
local.profile.orcid0000-0001-8605-1738en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/55413en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleEvaluation of partial body weight for predicting body weight and average daily gain in growing beef cattleen
local.relation.fundingsourcenoteThis work was in part funded by Vytelle LLC, a Wheatsheaf Group company.en
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorMacNeil, Michael Den
local.search.authorBerry, Donagh Pen
local.search.authorClark, Sam Aen
local.search.authorCrowley, John Jen
local.search.authorScholtz, Michiel Men
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/9ba72e4e-2c75-4cf3-80e6-05e13844a434en
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2021en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/9ba72e4e-2c75-4cf3-80e6-05e13844a434en
local.fileurl.openpublishedhttps://rune.une.edu.au/web/retrieve/9ba72e4e-2c75-4cf3-80e6-05e13844a434en
local.subject.for2020300302 Animal managementen
local.subject.for2020300305 Animal reproduction and breedingen
local.subject.for2020300399 Animal production not elsewhere classifieden
local.subject.seo2020100401 Beef cattleen
local.subject.seo2020100699 Primary products from animals not elsewhere classifieden
local.subject.seo2020100499 Livestock raising not elsewhere classifieden
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
Appears in Collections:Journal Article
School of Environmental and Rural Science
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This item is licensed under a Creative Commons License Creative Commons