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https://hdl.handle.net/1959.11/9048
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DC Field | Value | Language |
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dc.contributor.author | McPhee, Malcolm John | en |
dc.contributor.author | Hegarty, Roger | en |
dc.date.accessioned | 2011-12-13T16:31:00Z | - |
dc.date.issued | 2008 | - |
dc.identifier.citation | The Journal of Agricultural Science, 146(6), p. 643-654 | en |
dc.identifier.issn | 1469-5146 | en |
dc.identifier.issn | 0021-8596 | en |
dc.identifier.uri | https://hdl.handle.net/1959.11/9048 | - |
dc.description.abstract | Obtaining 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.language | en | en |
dc.publisher | Cambridge University Press | en |
dc.relation.ispartof | The Journal of Agricultural Science | en |
dc.title | Predicting the metabolizable energy intake of ruminants using digestibility, ruminal methane production and fermentation data | en |
dc.type | Journal Article | en |
dc.identifier.doi | 10.1017/S0021859608008149 | en |
dc.subject.keywords | Animal Nutrition | en |
local.contributor.firstname | Malcolm John | en |
local.contributor.firstname | Roger | en |
local.subject.for2008 | 070204 Animal Nutrition | en |
local.subject.seo2008 | 830301 Beef Cattle | en |
local.subject.seo2008 | 830310 Sheep - Meat | en |
local.profile.school | School of Environmental and Rural Science | en |
local.profile.school | School of Environmental and Rural Science | en |
local.profile.email | mmcphee2@une.edu.au | en |
local.profile.email | rhegart3@une.edu.au | en |
local.output.category | C1 | en |
local.record.place | au | en |
local.record.institution | University of New England | en |
local.identifier.epublicationsrecord | une-20111204-140024 | en |
local.publisher.place | United Kingdom | en |
local.format.startpage | 643 | en |
local.format.endpage | 654 | en |
local.identifier.scopusid | 56749097107 | en |
local.peerreviewed | Yes | en |
local.identifier.volume | 146 | en |
local.identifier.issue | 6 | en |
local.contributor.lastname | McPhee | en |
local.contributor.lastname | Hegarty | en |
dc.identifier.staff | une-id:mmcphee2 | en |
dc.identifier.staff | une-id:rhegart3 | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.identifier.unepublicationid | une:9238 | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
local.title.maintitle | Predicting the metabolizable energy intake of ruminants using digestibility, ruminal methane production and fermentation data | en |
local.output.categorydescription | C1 Refereed Article in a Scholarly Journal | en |
local.search.author | McPhee, Malcolm John | en |
local.search.author | Hegarty, Roger | en |
local.uneassociation | Unknown | en |
local.year.published | 2008 | en |
Appears in Collections: | Journal Article |
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