Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/9048
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMcPhee, Malcolm Johnen
dc.contributor.authorHegarty, Rogeren
dc.date.accessioned2011-12-13T16:31:00Z-
dc.date.issued2008-
dc.identifier.citationThe Journal of Agricultural Science, 146(6), p. 643-654en
dc.identifier.issn1469-5146en
dc.identifier.issn0021-8596en
dc.identifier.urihttps://hdl.handle.net/1959.11/9048-
dc.description.abstractObtaining accurate estimates of the metabolizable energy (ME) intake (MEI; MJ/day) of individual grazing ruminants is an important requirement for effective nutritional management and genetic selection of energy efficient ruminants. Diet digestibility and the daily methane production rate (MPR; MJ/day) of ruminants can be closely linked with their MEI, so published data were examined to determine whether MEI could be accurately estimated from digestibility, MPR and other parameters able to be measured on grazing animals. Four modelling approaches were assessed or developed to estimate MEI: (i) a published fixed proportional relationship between the non-metabolizable losses of MPR and urinary energy (UE; MJ/day); (ii) the proportion of energy digestibility (EngDig); (iii) MPR and the ruminal factors that influence the stoichiometric relationships between MPR and MEI; and (iv) the calculated ME arising from rumen fermentation (MEf; MJ/day). Data to develop the models (n=61) were collected across three publications (Paper) where the Paper effect was treated as a random-effect variable. Each of the models (1-4) was challenged with an independent data set (n=19). The inclusion of MEf (P=0·01) to predict MEI [MEI=0·18 (2·03)+3·42 (0·36)×sqrt(MEf) (d.f.=57; residual log likelihood=173·6)] had the lowest mean square error of prediction (MSEP) when challenged with the independent data set; mean bias of -0·42 MJ/day (P<0·05), MSEP=0·68 MJ/day and the bias, slope and random components of the MSEP were, as a proportion, 0·26, 0·13 and 0·61, respectively. None of the models estimated MEI with sufficient accuracy to be useful for identifying individual animals with above average energetic efficiency. A critical limit to any model seeking to estimate MEI from MPR and fermentation traits appears to be the variation between animals and between diets, in the proportion of digested energy which is fermented relative to that which is made available by mammalian digestion, and this is evaluated.en
dc.languageenen
dc.publisherCambridge University Pressen
dc.relation.ispartofThe Journal of Agricultural Scienceen
dc.titlePredicting the metabolizable energy intake of ruminants using digestibility, ruminal methane production and fermentation dataen
dc.typeJournal Articleen
dc.identifier.doi10.1017/S0021859608008149en
dc.subject.keywordsAnimal Nutritionen
local.contributor.firstnameMalcolm Johnen
local.contributor.firstnameRogeren
local.subject.for2008070204 Animal Nutritionen
local.subject.seo2008830301 Beef Cattleen
local.subject.seo2008830310 Sheep - Meaten
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailmmcphee2@une.edu.auen
local.profile.emailrhegart3@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20111204-140024en
local.publisher.placeUnited Kingdomen
local.format.startpage643en
local.format.endpage654en
local.identifier.scopusid56749097107en
local.peerreviewedYesen
local.identifier.volume146en
local.identifier.issue6en
local.contributor.lastnameMcPheeen
local.contributor.lastnameHegartyen
dc.identifier.staffune-id:mmcphee2en
dc.identifier.staffune-id:rhegart3en
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:9238en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitlePredicting the metabolizable energy intake of ruminants using digestibility, ruminal methane production and fermentation dataen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorMcPhee, Malcolm Johnen
local.search.authorHegarty, Rogeren
local.uneassociationUnknownen
local.year.published2008en
Appears in Collections:Journal Article
Files in This Item:
2 files
File Description SizeFormat 
Show simple item record

SCOPUSTM   
Citations

2
checked on Jan 25, 2025

Page view(s)

1,308
checked on Aug 3, 2024
Google Media

Google ScholarTM

Check

Altmetric


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