Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/57921
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DC Field | Value | Language |
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dc.contributor.author | Redfearn, Amellia | en |
dc.contributor.author | McNally, Jody | en |
dc.contributor.author | Brewer, Heather | en |
dc.contributor.author | Doyle, Emma | en |
dc.contributor.author | Schmoelzl, Sabine | en |
dc.date.accessioned | 2024-03-26T05:24:33Z | - |
dc.date.available | 2024-03-26T05:24:33Z | - |
dc.date.issued | 2022-02 | - |
dc.identifier.citation | Biology, 11(2), p. 1-13 | en |
dc.identifier.issn | 2079-7737 | en |
dc.identifier.uri | https://hdl.handle.net/1959.11/57921 | - |
dc.description.abstract | <p>Dystocia is the greatest contributor to neonatal lamb mortality in Australia and poses significant welfare and economic concerns worldwide. In this study, we set out to investigate whether pen-side analysis technology could be employed to detect blood parameters predictive of dystocic labour events in sheep. In a pilot trial, we collected and analysed blood samples in pen-side assays for glucose, lactate, pH, pCO<sub>2</sub>, pO<sub>2</sub>, base excess, HCO<sub>3</sub>, TCO<sub>2</sub>, sO<sub>2</sub>, lactate, sodium, potassium, chloride, calcium, urea nitrogen, creatinine, haematocrit, haemoglobin and anion gap. From the pilot data, we identified creatinine, TCO<sub>2</sub>, chloride and calcium as potentially useful markers. To develop a time course and to establish variability of the selected blood parameters, a time series of samples was collected from 12 ewes, from mid-gestation to 48 h after birth. For the main trial, blood samples were collected at mid- and late gestation for glucose determination and for the full set of blood parameters at three time points before, at and after birth. Possible predictors of lambing difficulty were chloride, haematocrit and haemoglobin, sampled one week before birth; creatinine, sampled at birth; and blood pH and base excess after birth. In conclusion, we found that pen-side analysis of blood markers showed promise in identifying dystocic lambing events.</p> | en |
dc.language | en | en |
dc.publisher | MDPI AG | en |
dc.relation.ispartof | Biology | en |
dc.rights | Attribution 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.title | Using Pen-Side Measurable Blood Parameters to Predict or Identify Dystocic Lambing Events | en |
dc.type | Journal Article | en |
dc.identifier.doi | 10.3390/biology11020206 | en |
dcterms.accessRights | UNE Green | en |
dc.subject.keywords | time course | en |
dc.subject.keywords | reproduction | en |
dc.subject.keywords | production | en |
dc.subject.keywords | physiology | en |
dc.subject.keywords | rapid testing | en |
dc.subject.keywords | Biology | en |
dc.subject.keywords | Life Sciences & Biomedicine - Other Topics | en |
dc.subject.keywords | sheep | en |
dc.subject.keywords | ewe | en |
local.contributor.firstname | Amellia | en |
local.contributor.firstname | Jody | en |
local.contributor.firstname | Heather | en |
local.contributor.firstname | Emma | en |
local.contributor.firstname | Sabine | en |
local.profile.school | School of Science and Technology | en |
local.profile.school | School of Environmental and Rural Science | en |
local.profile.school | School of Environmental and Rural Science | en |
local.profile.email | aredfea2@une.edu.au | en |
local.profile.email | edoyle3@une.edu.au | en |
local.profile.email | sschmoel@une.edu.au | en |
local.output.category | C1 | en |
local.record.place | au | en |
local.record.institution | University of New England | en |
local.publisher.place | Switzerland | en |
local.identifier.runningnumber | 206 | en |
local.format.startpage | 1 | en |
local.format.endpage | 13 | en |
local.peerreviewed | Yes | en |
local.identifier.volume | 11 | en |
local.identifier.issue | 2 | en |
local.access.fulltext | Yes | en |
local.contributor.lastname | Redfearn | en |
local.contributor.lastname | McNally | en |
local.contributor.lastname | Brewer | en |
local.contributor.lastname | Doyle | en |
local.contributor.lastname | Schmoelzl | en |
dc.identifier.staff | une-id:aredfea2 | en |
dc.identifier.staff | une-id:edoyle3 | en |
dc.identifier.staff | une-id:sschmoel | en |
local.profile.orcid | 0000-0002-5255-2187 | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.identifier.unepublicationid | une:1959.11/57921 | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
local.title.maintitle | Using Pen-Side Measurable Blood Parameters to Predict or Identify Dystocic Lambing Events | en |
local.relation.fundingsourcenote | This work was supported by Meat & Livestock Australia (PSH.0808 'New approaches to the understanding of underlying causes for neonatal lamb mortality') with co-contribution from the CSIRO. Amellia Redfearn was supported by an Australian Government Research Training Program stipend scholarship through The University of New England. | en |
local.output.categorydescription | C1 Refereed Article in a Scholarly Journal | en |
local.search.author | Redfearn, Amellia | en |
local.search.author | McNally, Jody | en |
local.search.author | Brewer, Heather | en |
local.search.author | Doyle, Emma | en |
local.open.fileurl | https://rune.une.edu.au/web/retrieve/0a928366-bdda-45a3-8662-3f6bc126cb69 | en |
local.uneassociation | Yes | en |
local.atsiresearch | No | en |
local.sensitive.cultural | No | en |
local.year.published | 2022 | en |
local.fileurl.open | https://rune.une.edu.au/web/retrieve/0a928366-bdda-45a3-8662-3f6bc126cb69 | en |
local.fileurl.openpublished | https://rune.une.edu.au/web/retrieve/0a928366-bdda-45a3-8662-3f6bc126cb69 | en |
local.subject.for2020 | 3003 Animal production | en |
local.subject.seo2020 | TBD | en |
local.original.for2020 | 3003 Animal production | en |
local.original.seo2020 | TBD | en |
local.profile.affiliationtype | UNE Affiliation | en |
local.profile.affiliationtype | External Affiliation | en |
local.profile.affiliationtype | External Affiliation | en |
local.profile.affiliationtype | UNE Affiliation | en |
Appears in Collections: | Journal Article School of Environmental and Rural Science School of Science and Technology |
Files in This Item:
File | Description | Size | Format | |
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openpublished/UsingRedfearn2022JournalArticle.pdf | Published Version | 307.4 kB | Adobe PDF Download Adobe | View/Open |
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