Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/11448
Full metadata record
DC FieldValueLanguage
dc.contributor.authorFleming, Euanen
dc.contributor.authorFleming, Pauline Aen
dc.contributor.authorGriffith, Garryen
dc.contributor.authorJohnston, Daviden
dc.date.accessioned2012-10-16T13:42:00Z
dc.date.issued2010en
dc.identifier.citationAustralasian Agribusiness Review, v.18, p. 43-65en
dc.identifier.issn1442-6951en
dc.identifier.urihttps://hdl.handle.net/1959.11/11448en
dc.description.abstractIntensive livestock systems differ from most pasture-based systems in that managers exert much greater control over the production cycle and the quality of animals entering the system. Consequently, technical inefficiencies among animals tend to be much more easily eradicated. Nevertheless, a range of factors could still cause both technical inefficiency and variations in productivity between animals. These factors are the focus of analysis in this study of a beef cattle feedlot system operating under experimental conditions. Technical efficiency and productivity analyses usually focus on the activities of firms or institutions using inputs to produce outputs, and the differences between them (Fleming et al. 2006). In this paper, we report on the efficiency with which physical characteristics of individual lot-fed beef cattle are combined with conventional inputs to produce a final product with several attributes. Data on 214 animals across seven breeds were used to estimate a stochastic input distance function with multiple inputs and multiple outputs. Estimates were obtained after controlling for differences between breeds, years and sex. A high mean technical efficiency was estimated for the cattle as a group but it was found that different breeds have significantly different output frontiers and inefficiency levels. These differences are most likely associated with variation in genetic merit between sires within and between breeds and the different farming and climatic backgrounds of the animals' cohorts. Results are reported on the input-output relationships as well as the relationships between the outputs. Important findings in respect of output relationships in this sample are that the proportion of meat weight retained after cooking is positively associated with the meat quality sensory score, and carcass weight is negatively associated with the meat quality sensory score. No relationship was discerned between carcass weight and the proportion of meat weight retained after cooking. It is expected that the further application of these technical efficiency and productivity analysis methods to physical cattle data will lead to improvements in the valuation of different animal attributes in genetic selection software packages.en
dc.languageenen
dc.publisherUniversity of Melbourneen
dc.relation.ispartofAustralasian Agribusiness Reviewen
dc.titleMeasuring Beef Cattle Efficiency in Australian Feedlots: Applying Technical Efficiency and Productivity Analysis Methodsen
dc.typeJournal Articleen
dc.subject.keywordsAnimal Breedingen
dc.subject.keywordsAgricultural Economicsen
local.contributor.firstnameEuanen
local.contributor.firstnamePauline Aen
local.contributor.firstnameGarryen
local.contributor.firstnameDaviden
local.subject.for2008140201 Agricultural Economicsen
local.subject.for2008070201 Animal Breedingen
local.subject.seo2008910404 Productivity (excl. Public Sector)en
local.subject.seo2008860103 Carcass Meat (incl. Fish and Seafood)en
local.profile.schoolUNE Business Schoolen
local.profile.schoolEconomicsen
local.profile.schoolUNE Business Schoolen
local.profile.schoolAnimal Genetics and Breeding Uniten
local.profile.emailefleming@une.edu.auen
local.profile.emailpfleming@une.edu.auen
local.profile.emailggriffit@une.edu.auen
local.profile.emaildjohnsto@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20120927-110644en
local.publisher.placeAustraliaen
local.identifier.runningnumberPaper 4en
local.format.startpage43en
local.format.endpage65en
local.peerreviewedYesen
local.identifier.volume18en
local.title.subtitleApplying Technical Efficiency and Productivity Analysis Methodsen
local.contributor.lastnameFlemingen
local.contributor.lastnameFlemingen
local.contributor.lastnameGriffithen
local.contributor.lastnameJohnstonen
dc.identifier.staffune-id:eflemingen
dc.identifier.staffune-id:pflemingen
dc.identifier.staffune-id:ggriffiten
dc.identifier.staffune-id:djohnstoen
local.profile.orcid0000-0002-5276-6222en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:11647en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleMeasuring Beef Cattle Efficiency in Australian Feedlotsen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.relation.urlhttp://www.agrifood.info/review/2010/Fleming_el_al.pdfen
local.description.statisticsepubsVisitors: 155<br />Views: 160<br />Downloads: 0en
local.search.authorFleming, Euanen
local.search.authorFleming, Pauline Aen
local.search.authorGriffith, Garryen
local.search.authorJohnston, Daviden
Appears in Collections:Animal Genetics and Breeding Unit (AGBU)
Journal Article
UNE Business School
Files in This Item:
2 files
File Description SizeFormat 
Show simple item record

Page view(s)

186
checked on Mar 4, 2019
Google Media

Google ScholarTM

Check


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.