Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/20380
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dc.contributor.authorLaurenson, Yanen
dc.contributor.authorKahn, Lewisen
dc.contributor.authorBishop, Stephen Cen
dc.contributor.authorKyriazakis, Iliasen
dc.date.accessioned2017-04-10T17:03:00Z-
dc.date.issued2016-
dc.identifier.citationVeterinary Parasitology, v.226, p. 174-188en
dc.identifier.issn1873-2550en
dc.identifier.issn0304-4017en
dc.identifier.urihttps://hdl.handle.net/1959.11/20380-
dc.description.abstractTargeted selective treatment (TST) requires the ability to identify the animals for which anthelmintic treatment will result in the greatest benefit to the entire flock. Various phenotypic traits have previously been suggested as determinant criteria for TST; however, the weight gain benefit and impact on anthelmintic efficacy for each determinant criterion is expected to be dependent upon the level of nematode challenge and the timing of anthelmintic treatment. A mathematical model was used to simulate a population of 10,000 parasitologically naïve Scottish Blackface lambs (with heritable variation in host-parasite interactions) grazing on medium-quality pasture (grazing density = 30 lambs/ha, crude protein = 140 g/kg DM, metabolisable energy = 10 MJ/kg DM) with an initial larval contamination of 1000, 3000 or 5000 Teladorsagia circumcincta L₃/kg DM. Anthelmintic drenches were administered to 0, 50 or 100% of the population on a single occasion. The day of anthelmintic treatment was independently modelled for every day within the 121 day simulation. Where TST scenarios were simulated (50% treated), lambs were either chosen by random selection or according to highest faecal egg count (FEC, eggs/g DM faeces), lowest live weight (LW, kg) or lowest growth rate (kg/day). Average lamb empty body weight (kg) and the resistance (R) allele frequency amongst the parasite population on pasture were recorded at slaughter (day 121) for each scenario. Average weight gain benefit and increase in R allele frequency for each determinant criterion, level of initial larval contamination and day of anthelmintic treatment were calculated by comparison to a non-treated population. Determinant criteria were evaluated according to average weight gain benefit divided by increase in R allele frequency to determine the benefit per R. Whilst positive phenotypic correlations were predicted between worm burden and FEC; using LW as the determinant criterion provided the greatest benefit per R for all levels of initial larval contamination and day of anthelmintic treatment. Hence, LW was identified as the best determinant criterion for use in a TST regime. This study supports the use of TST strategies as benefit per R predictions for all determinant criteria were greater than those predicted for the 100% treatment group, representing an increased longterm productive benefit resulting from the maintenance of anthelmintic efficacy. Whilst not included in this study, the model could be extended to consider other parasite species and host breed parameters, variation in climatic influences on larval availability and grass growth, repeated anthelmintic treatments and variable proportional flock treatments.en
dc.languageenen
dc.publisherElsevier BVen
dc.relation.ispartofVeterinary Parasitologyen
dc.titleWhich is the best phenotypic trait for use in a targeted selective treatment strategy for growing lambs in temperate climates?en
dc.typeJournal Articleen
dc.identifier.doi10.1016/j.vetpar.2016.07.010en
dc.subject.keywordsAgricultural Production Systems Simulationen
dc.subject.keywordsVeterinary Parasitologyen
dc.subject.keywordsAnimal Growth and Developmenten
local.contributor.firstnameYanen
local.contributor.firstnameLewisen
local.contributor.firstnameStephen Cen
local.contributor.firstnameIliasen
local.subject.for2008070103 Agricultural Production Systems Simulationen
local.subject.for2008070708 Veterinary Parasitologyen
local.subject.for2008070202 Animal Growth and Developmenten
local.subject.seo2008970107 Expanding Knowledge in the Agricultural and Veterinary Sciencesen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailylaurens@une.edu.auen
local.profile.emaillkahn3@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20170316-162127en
local.publisher.placeNetherlandsen
local.format.startpage174en
local.format.endpage188en
local.identifier.scopusid84978757564en
local.peerreviewedYesen
local.identifier.volume226en
local.contributor.lastnameLaurensonen
local.contributor.lastnameKahnen
local.contributor.lastnameBishopen
local.contributor.lastnameKyriazakisen
dc.identifier.staffune-id:ylaurensen
dc.identifier.staffune-id:lkahn3en
local.profile.orcid0000-0002-3679-4530en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:20576en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleWhich is the best phenotypic trait for use in a targeted selective treatment strategy for growing lambs in temperate climates?en
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorLaurenson, Yanen
local.search.authorKahn, Lewisen
local.search.authorBishop, Stephen Cen
local.search.authorKyriazakis, Iliasen
local.uneassociationUnknownen
local.identifier.wosid000382350800032en
local.year.published2016en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/6f0bc1e1-27da-447f-a0ea-2f1f433f9518en
local.subject.for2020300205 Agricultural production systems simulationen
local.subject.for2020300909 Veterinary parasitologyen
local.subject.for2020300301 Animal growth and developmenten
local.subject.seo2020280101 Expanding knowledge in the agricultural, food and veterinary sciencesen
Appears in Collections:Journal Article
School of Environmental and Rural Science
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