Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/23580
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dc.contributor.authorVelazco, Jose Ignacioen
dc.contributor.authorHegarty, Rogeren
dc.contributor.authorCottle, Daviden
dc.contributor.authorLi, Lilyen
dc.date.accessioned2018-08-21T10:44:00Z-
dc.date.created2015-
dc.date.issued2016-
dc.identifier.urihttps://hdl.handle.net/1959.11/23580-
dc.description.abstractOn-farm CH₄ emissions have been identified as the largest contributors to the carbon footprint of livestock production systems. A requirement to quantify on-farm mitigation under commercial production conditions and a desire to establish the phenotype of thousands of ruminants for breeding programs, has fueled the development of techniques to estimate daily methane production (DMP) from short-term measures of methane concentration or methane flux.The accuracy, precision and applicability of these methods has been largely untested and forms the susbtance of this thesis. In assessing the accuracy of short-term emissions measures to estimate DMP, a high level of concordance was observed between DMP measured over 24h in a respiration chamber (RC) and estimated from multiple short-term measurement estimates using the GreenFeed Emission Monitoring system (GEM). Three independent experiments comparing DMP confirmed that estimates between methods differ by 5% to 8% (P>0.05). This implies that multiple short-term measures of emission rates are complementary to and consistent with respiration chamber-derived measures, providing capability to measure a greater number of animals, potentially in their production environment over extended periods of time. Methane yields (MY; g CH₄/kg DMI) were also derived based on multiple short-term emission measures, with results consistently within 10% of those calculated based on 24h RC data. The overall MY of animals consuming roughages was 21.8g CH₄/kg DMI using GEM data, in keeping with the 22.3g CH₄/kg DMI average in the literature. That implies that GEM units can not only accurately estimate DMP of cattle but also support accurate MY estimates that can be used in quantifying livestock emissions for national greenhouse inventory calculations.en
dc.languageenen
dc.titleQuantifying daily methane production of beef cattle from multiple short-term measures using the GreenFeed systemen
dc.typeThesis Doctoralen
dcterms.accessRightsUNE Greenen
dc.subject.keywordsEnvironmental Monitoringen
dc.subject.keywordsEnvironmental Science and Managementen
dc.subject.keywordsAnimal Nutritionen
local.contributor.firstnameJose Ignacioen
local.contributor.firstnameRogeren
local.contributor.firstnameDaviden
local.contributor.firstnameLilyen
local.subject.for2008050206 Environmental Monitoringen
local.subject.for2008070204 Animal Nutritionen
local.subject.for2008050299 Environmental Science and Management not elsewhere classifieden
local.subject.seo2008839802 Management of Greenhouse Gas Emissions from Animal Productionen
local.subject.seo2008830301 Beef Cattleen
local.subject.seo2008839899 Environmentally Sustainable Animal Production not elsewhere classifieden
dcterms.RightsStatementCopyright 2015 - Jose Ignacio Velazcoen
dc.date.conferred2016en
local.hos.emailhoshass@une.edu.auen
local.thesis.degreelevelDoctoralen
local.thesis.degreenameDoctor of Philosophyen
local.contributor.grantorUniversity of New Englanden
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.emailjvelazco@myune.edu.auen
local.profile.emailrhegart3@une.edu.auen
local.profile.emaildcottle2@une.edu.auen
local.profile.emaillli3@une.edu.auen
local.output.categoryT2en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune_thesis-20150310-140842en
local.access.fulltextYesen
local.contributor.lastnameVelazcoen
local.contributor.lastnameHegartyen
local.contributor.lastnameCottleen
local.contributor.lastnameLien
dc.identifier.staffune-id:jvelazcoen
dc.identifier.staffune-id:rhegart3en
dc.identifier.staffune-id:dcottle2en
dc.identifier.staffune-id:lli3en
local.profile.orcid0000-0003-3875-3465en
local.profile.roleauthoren
local.profile.rolesupervisoren
local.profile.rolesupervisoren
local.profile.rolesupervisoren
local.identifier.unepublicationidune:23762en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleQuantifying daily methane production of beef cattle from multiple short-term measures using the GreenFeed systemen
local.output.categorydescriptionT2 Thesis - Doctorate by Researchen
local.school.graduationSchool of Humanities, Arts & Social Sciencesen
local.thesis.borndigitalyesen
local.search.authorVelazco, Jose Ignacioen
local.search.supervisorHegarty, Rogeren
local.search.supervisorCottle, Daviden
local.search.supervisorLi, Lilyen
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/1c59224f-8351-4017-8166-1846e628bda9en
local.uneassociationYesen
local.year.conferred2016en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/1c59224f-8351-4017-8166-1846e628bda9en
local.subject.for2020410599 Pollution and contamination not elsewhere classifieden
local.subject.for2020300303 Animal nutritionen
local.subject.for2020410199 Climate change impacts and adaptation not elsewhere classifieden
local.subject.seo2020190302 Management of greenhouse gas emissions from animal productionen
local.subject.seo2020100401 Beef cattleen
Appears in Collections:Animal Genetics and Breeding Unit (AGBU)
School of Environmental and Rural Science
Thesis Doctoral
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