Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/60220
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dc.contributor.authorHerd, R Men
dc.contributor.authorArthur, P Fen
dc.contributor.authorHegarty, R Sen
dc.contributor.authorBird-gardiner, Ten
dc.contributor.authorDonoghue, K Aen
dc.contributor.authorVelazco, J Ien
dc.date.accessioned2024-05-29T07:57:12Z-
dc.date.available2024-05-29T07:57:12Z-
dc.date.issued2021-
dc.identifier.citationAnimal Production Science, 61(4), p. 381-389en
dc.identifier.issn1836-5787en
dc.identifier.issn1836-0939en
dc.identifier.urihttps://hdl.handle.net/1959.11/60220-
dc.description.abstract<p><b><i>Context:</i></b> Research into improving feed efficiency by ruminant animals grazing pastures has historically been restrained by an inability to measure feed intake by large numbers of individual animals. Recent advances in portable breath measurement technology could be useful for this purpose but methodologies need to be developed.</p><p><b><i>Aims:</i></b> To evaluate predictive models for metabolisable energy intake (MEI) by free-ranging cattle using multiple short-term breath samples and then apply these to predict MEI by free-ranging cattle in a historic grazing experiment with cattle genetically divergent for residual feed intake (feed efficiency).</p><p><b><i>Methods:</i></b> Predictive models for MEI were developed using bodyweight (BW) data, and carbon dioxide production rate (CPR) and methane production rate (MPR) from multiple short-term breath measurements, from an experiment with long-fed Angus steers on a grain-based diet, and an experiment with short-fed Angus heifers on a roughage diet. Heat production was calculated using CPR and MPR. Energy retained (ER) in body tissue gain by steers was calculated from BW, ADG, initial and final subcutaneous fat depths, and for both groups using feeding-standards equations.</p><p><b><i>Key results:</i></b> Metabolic mid-test BW (MBW) explained 49 and 47% of the variation in MEI in the steer and heifer experiment, respectively, and for the steers adding ADG and then subcutaneous fat gain resulted in the models accounting for 60 and then 65% of the variation in MEI. In the steer experiment, MBW with CPR explained 57% of the variation in MEI, and including MPR did not account for any additional variation. In the heifer experiment, MBW with CPR explained 50%, and with MPR accounted for 52% of the variation in MEI. Heat production plus ER explained 60, 35 and 85% of the variation in MEI in the steer and the heifer experiments, and in the pooled data from both experiments, respectively.</p><p><b><i>Conclusions:</i></b> Multiple short-term breath measurements, together simple BW data, can be used to predict MEI by free-ranging cattle in studies in which animals do not have feed-intake or ADG recorded.</p><p><b><i>Implications:</i></b> This methodology can be used for research into improving feed efficiency by farm animals grazing pastures.</p>en
dc.languageenen
dc.publisherCSIRO Publishingen
dc.relation.ispartofAnimal Production Scienceen
dc.titlePredicting metabolisable energy intake by free-ranging cattle using multiple short-term breath samples and applied to a pasture case-studyen
dc.typeJournal Articleen
dc.identifier.doi10.1071/AN20162en
dc.subject.keywordspastureen
dc.subject.keywordsmetabolisable energy intakeen
dc.subject.keywordsmethaneen
dc.subject.keywordsmethane production rateen
dc.subject.keywordsoxygenen
dc.subject.keywordsAgriculture, Dairy & Animal Scienceen
dc.subject.keywordsAgricultureen
dc.subject.keywordsaverage daily gainen
dc.subject.keywordscarbon dioxideen
dc.subject.keywordsfeed efficiencyen
dc.subject.keywordsfeed intakeen
dc.subject.keywordsgrazingen
local.contributor.firstnameR Men
local.contributor.firstnameP Fen
local.contributor.firstnameR Sen
local.contributor.firstnameTen
local.contributor.firstnameK Aen
local.contributor.firstnameJ Ien
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolAdministrationen
local.profile.emailrherd3@une.edu.auen
local.profile.emailrhegart3@une.edu.auen
local.profile.emailtbirdgar@myune.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeAustraliaen
local.identifier.runningnumberAN20162en
local.format.startpage381en
local.format.endpage389en
local.peerreviewedYesen
local.identifier.volume61en
local.identifier.issue4en
local.contributor.lastnameHerden
local.contributor.lastnameArthuren
local.contributor.lastnameHegartyen
local.contributor.lastnameBird-gardineren
local.contributor.lastnameDonoghueen
local.contributor.lastnameVelazcoen
dc.identifier.staffune-id:rherd3en
dc.identifier.staffune-id:rhegart3en
dc.identifier.staffune-id:tbirdgaren
local.profile.orcid0000-0003-4689-5519en
local.profile.roleauthoren
local.profile.roleauthoren
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local.identifier.unepublicationidune:1959.11/60220en
local.date.onlineversion2020-11-04-
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitlePredicting metabolisable energy intake by free-ranging cattle using multiple short-term breath samples and applied to a pasture case-studyen
local.relation.fundingsourcenoteThis work was funded by NSW Department of Primary Industries, University of New England, Meat & Livestock Australia, the former Australian Department of Agriculture and Water Resources, and the Angus Society of Australia.en
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorHerd, R Men
local.search.authorArthur, P Fen
local.search.authorHegarty, R Sen
local.search.authorBird-gardiner, Ten
local.search.authorDonoghue, K Aen
local.search.authorVelazco, J Ien
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.available2020en
local.year.published2021en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/af69681b-474c-488b-aaca-d15532b5add3en
local.subject.for2020300399en
local.subject.for2020300303en
local.subject.seo2020TBDen
local.codeupdate.date2024-07-02T13:39:36.386en
local.codeupdate.epersonrherd3@une.edu.auen
local.codeupdate.finalisedtrueen
local.original.for20203003 Animal productionen
local.original.seo2020TBDen
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
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