Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/29523
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dc.contributor.authorSimanungkalit, Gen
dc.contributor.authorHegarty, R Sen
dc.contributor.authorCowley, F Cen
dc.contributor.authorMcPhee, M Jen
dc.date.accessioned2020-10-07T06:42:34Z-
dc.date.available2020-10-07T06:42:34Z-
dc.date.issued2020-08-
dc.identifier.citationAnimal, 14(S2), p. s332-s340en
dc.identifier.issn1751-732Xen
dc.identifier.issn1751-7311en
dc.identifier.urihttps://hdl.handle.net/1959.11/29523-
dc.description.abstract<p>Automated weighing systems to monitor BW and supplement intake (<b>SI</b>) of individual grazing cattle are being developed to better understand the seasonal nutrition and performance of grazing livestock. This study established (1) the accuracy and repeatability of a commercial walk-over weighing (<b>WoW</b>) system for estimating BW and (2) the accuracy of an automatic supplement weighing (<b>ASW</b>) unit for estimating SI based on measuring time spent at the unit. The WoW and ASW units monitored BW and SI of 112 cattle consisting of 55 cows and 57 calves grazed on a 32.5 ha paddock for 41 days, with an average of 258 BW records collected per day. Static BWs were recorded at each mustering event (<i>n</i> = 7) and were compared to repeated measurements collected by the WoW on the day of each mustering event. Body weight was overestimated by the WoW, with the predicted BW of calves and cows averaging 10 and 21 kg heavier, respectively, than actual, and root MS prediction errors (<b>RMSPE</b>) of 5.1% and 5.5% of the static BW, respectively. For both calves and cows, 38% of the MS prediction errors (MSPE) was mean bias (<b>MB</b>) error and 9% of MSPE was slope bias error. The concordance correlation coefficient (<b>CCC</b>; 0.90 v. 0.80) and modelling efficiency (<b>MEF</b>; 0.78 v. 0.62) of WoW BW for calves were higher than for cows, indicating that the predicted values were deviating from a 1 : 1 relationship and in particular as weight increases. A rolling average across five or more consecutive BW measures improved the accuracy of the WoW BW estimates. Regarding estimates of SI, the aggregated time the herd spent at the ASW unit was strongly associated with total SI (<i>R</i><sup>2</sup> = 0.92; <i>P</i> < 0.001). Further, positive linear relationships (<i>P</i> < 0.001) existed between cumulative weighted time spent at the ASW unit (min) and concentration of fenbendazole (<b>FBZ</b>) used as an intake marker and its derivatives (oxfendazole and oxfendazole sulfone) in the plasma of individual cows, with <i>R</i><sup>2</sup> of 0.54, 0.73 and 0.75, respectively. Although the WoW overestimated static BW, the low bias in the slope indicated that a linear regression model could be developed to adjust the WoW BW to reduce the MB and improve the estimate of WoW BW. The significant positive relationship between time spent at the ASW unit and individual blood FBZ concentration identified the suitability of the ASW unit for estimating SI by grazing cattle.</p>en
dc.languageenen
dc.publisherCambridge University Pressen
dc.relation.ispartofAnimalen
dc.titleEvaluation of remote monitoring units for estimating body weight and supplement intake of grazing cattleen
dc.typeJournal Articleen
dc.identifier.doi10.1017/S1751731120000282en
dc.identifier.pmid32122426en
local.contributor.firstnameGen
local.contributor.firstnameR Sen
local.contributor.firstnameF Cen
local.contributor.firstnameM Jen
local.subject.for2008070203 Animal Managementen
local.subject.for2008070204 Animal Nutritionen
local.subject.seo2008830301 Beef Cattleen
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.schoolSchool of Environmental and Rural Scienceen
local.profile.emailgsimanu2@une.edu.auen
local.profile.emailrhegart3@une.edu.auen
local.profile.emailfcowley@une.edu.auen
local.profile.emailmmcphee2@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeUnited Kingdomen
local.format.startpages332en
local.format.endpages340en
local.identifier.scopusid85081350392en
local.peerreviewedYesen
local.identifier.volume14en
local.identifier.issueS2en
local.contributor.lastnameSimanungkaliten
local.contributor.lastnameHegartyen
local.contributor.lastnameCowleyen
local.contributor.lastnameMcPheeen
dc.identifier.staffune-id:gsimanu2en
dc.identifier.staffune-id:rhegart3en
dc.identifier.staffune-id:fcowleyen
dc.identifier.staffune-id:mmcphee2en
local.profile.orcid0000-0002-6475-1503en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/29523en
local.date.onlineversion2020-03-03-
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleEvaluation of remote monitoring units for estimating body weight and supplement intake of grazing cattleen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorSimanungkalit, Gen
local.search.authorHegarty, R Sen
local.search.authorCowley, F Cen
local.search.authorMcPhee, M Jen
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.identifier.wosid000553453300014en
local.year.available2020en
local.year.published2020en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/e29cdbbe-9ee4-4649-a2a8-535769fca477en
local.subject.for2020300302 Animal managementen
local.subject.for2020300303 Animal nutritionen
local.subject.seo2020100401 Beef cattleen
Appears in Collections:Journal Article
School of Environmental and Rural Science
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