Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/29240
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dc.contributor.authorDougherty, H Cen
dc.contributor.authorKebreab, Een
dc.contributor.authorEvered, Men
dc.contributor.authorLittle, B Aen
dc.contributor.authorIngham, A Ben
dc.contributor.authorHegarty, R Sen
dc.contributor.authorPacheco, Den
dc.contributor.authorMcPhee, M Jen
dc.date.accessioned2020-08-17T05:59:52Z-
dc.date.available2020-08-17T05:59:52Z-
dc.date.issued2017-
dc.identifier.citationCalifornia Animal Nutrition Conference Proceedings, p. 277-277en
dc.identifier.urihttps://hdl.handle.net/1959.11/29240-
dc.description.abstractAs demand for animal products such as meat and milk increases, and concern over environmental impact grows, mechanistic models can be useful tools to better represent and understand ruminant systems and evaluate mitigation options to reduce greenhouse gas emissions without compromising productivity. AusBeef is a whole-animal, dynamic, mechanistic model of beef production that calculates methane emissions from net ruminal hydrogen balance. AusBeef incorporates a unique fermentation stoichiometry that represents four different microbial groups, as well as the effects of ruminal pH on microbial degradation of feed. The objectives of this study were to evaluate the performance of the AusBeef model of beef production with regard to predicting daily methane production (DMP, g/d), dry matter intake (DMI, kg/d), gross energy intake (GEI, MJ/d) and methane yield (MY, %GEI), using independent data derived from the literature. AusBeef predictions were compared for the full dataset (n=37) as well as for high-forage diets (n=21) and mixed diets (n=16) using a root mean square predicted error expressed as a percentage of the observed mean (RMSPE%). AusBeef predicted DMP with RMSPE% of 26.6, 30.1, and 21.3% for the full dataset, high-forage, and mixed diets, respectively. AusBeef predicted MY, DMI, and GEI with a RMSPE% of 38.5, 8.91, and 9.86% for the full dataset, respectively. There were prediction differences between forage and mixed diets with a RMSPE% of 9.32 and 8.43% for DMI; 6.38 and 11.1% for GEI and 41.7 and 28.4% for MY. AusBeef prediction errors for DMI ranged from -18 to +42%, with AusBeef underpredicting DMI 76% of the time. AusBeef underpredicted methane emissions 65% of the time, with prediction error ranging from - 51 to +59%, and underpredicted GEI 90% of the time, with prediction error ranging from -1 to +30%. Further studies are required to improve the prediction of methane on forage only diets.en
dc.languageenen
dc.publisherCalifornia Grain & Feed Associationen
dc.relation.ispartofCalifornia Animal Nutrition Conference Proceedingsen
dc.titleDescription and evaluation of the AusBeef model of beef productionen
dc.typeConference Publicationen
dc.relation.conferenceCalifornia Animal Nutrition Conference 2017en
dcterms.accessRightsBronzeen
local.contributor.firstnameH Cen
local.contributor.firstnameEen
local.contributor.firstnameMen
local.contributor.firstnameB Aen
local.contributor.firstnameA Ben
local.contributor.firstnameR Sen
local.contributor.firstnameDen
local.contributor.firstnameM Jen
local.subject.for2008070103 Agricultural Production Systems Simulationen
local.subject.for2008070204 Animal Nutritionen
local.subject.for2008050204 Environmental Impact Assessmenten
local.subject.seo2008830301 Beef Cattleen
local.subject.seo2008839802 Management of Greenhouse Gas Emissions from Animal Productionen
local.profile.schoolEnvironmental and Rural Scienceen
local.profile.schoolSchool of Science and Technologyen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailhdoughe2@une.edu.auen
local.profile.emailmevered@une.edu.auen
local.profile.emailrhegart3@une.edu.auen
local.profile.emailmmcphee2@une.edu.auen
local.output.categoryE3en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.date.conference10th - 11th May, 2017en
local.conference.placeFresno, United States of Americaen
local.publisher.placeUnited States of Americaen
local.format.startpage277en
local.format.endpage277en
local.url.openhttps://animalnutr-ansci.faculty.ucdavis.edu/wp-content/uploads/sites/342/2017/05/2017-CANC-Conference_DIGITAL.pdfen
local.access.fulltextYesen
local.contributor.lastnameDoughertyen
local.contributor.lastnameKebreaben
local.contributor.lastnameEvereden
local.contributor.lastnameLittleen
local.contributor.lastnameInghamen
local.contributor.lastnameHegartyen
local.contributor.lastnamePachecoen
local.contributor.lastnameMcPheeen
dc.identifier.staffune-id:hdoughe2en
dc.identifier.staffune-id:mevereden
dc.identifier.staffune-id:rhegart3en
dc.identifier.staffune-id:mmcphee2en
local.profile.orcid0000-0001-9918-4986en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
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local.profile.roleauthoren
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local.identifier.unepublicationidune:1959.11/29240en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleDescription and evaluation of the AusBeef model of beef productionen
local.output.categorydescriptionE3 Extract of Scholarly Conference Publicationen
local.relation.urlhttps://animalnutr-ansci.faculty.ucdavis.edu/wp-content/uploads/sites/342/2017/05/2017-CANC-Conference_DIGITAL.pdfen
local.conference.detailsCalifornia Animal Nutrition Conference 2017, Fresno, United States of America, 10th - 11th May, 2017en
local.search.authorDougherty, H Cen
local.search.authorKebreab, Een
local.search.authorEvered, Men
local.search.authorLittle, B Aen
local.search.authorIngham, A Ben
local.search.authorHegarty, R Sen
local.search.authorPacheco, Den
local.search.authorMcPhee, M Jen
local.uneassociationYesen
dc.date.presented2017-05-
local.atsiresearchNoen
local.conference.venueDoubletree by Hilton Fresno Convention Centeren
local.sensitive.culturalNoen
local.year.published2017en
local.year.presented2017en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/1b511c9c-4153-40e5-9471-1acec8b6ca9fen
local.subject.for2020300205 Agricultural production systems simulationen
local.subject.for2020300303 Animal nutritionen
local.subject.for2020410402 Environmental assessment and monitoringen
local.subject.seo2020100401 Beef cattleen
local.subject.seo2020190302 Management of greenhouse gas emissions from animal productionen
local.date.start2010-05-11-
Appears in Collections:Conference Publication
School of Environmental and Rural Science
School of Science and Technology
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