Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/20918
Title: Can we use genetic and genomic approaches to identify candidate animals for targeted selective treatment
Contributor(s): Laurenson, Yan  (author); Kyriazakis, Ilias (author); Bishop, Stephen C (author)
Publication Date: 2013
DOI: 10.1016/j.vetpar.2013.04.039
Handle Link: https://hdl.handle.net/1959.11/20918
Abstract: Estimated breeding values (EBV) for faecal egg count (FEC) and genetic markers for host resistance to nematodes may be used to identify resistant animals for selective breeding programmes. Similarly, targeted selective treatment (TST) requires the ability to identify the animals that will benefit most from anthelmintic treatment. A mathematical model was used to combine the concepts and evaluate the potential of using genetic-based methods to identify animals for a TST regime. EBVs obtained by genomic prediction were predicted to be the best determinant criterion for TST in terms of the impact on average empty body weight and average FEC, whereas pedigree-based EBVs for FEC were predicted to be marginally worse than using phenotypic FEC as a determinant criterion. Whilst each method has financial implications, if the identification of host resistance is incorporated into a wider genomic selection indices or selective breeding programmes, then genetic or genomic information may be plausibly included in TST regimes
Publication Type: Journal Article
Source of Publication: Veterinary Parasitology, 197(1-2), p. 379-383
Publisher: Elsevier BV
Place of Publication: Netherlands
ISSN: 1873-2550
0304-4017
Fields of Research (FoR) 2008: 070708 Veterinary Parasitology
Fields of Research (FoR) 2020: 300909 Veterinary parasitology
Socio-Economic Objective (SEO) 2008: 970107 Expanding Knowledge in the Agricultural and Veterinary Sciences
Socio-Economic Objective (SEO) 2020: 280101 Expanding knowledge in the agricultural, food and veterinary sciences
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Environmental and Rural Science

Files in This Item:
3 files
File Description SizeFormat 
Show full item record

SCOPUSTM   
Citations

5
checked on Jul 6, 2024

Page view(s)

1,214
checked on Jun 30, 2024
Google Media

Google ScholarTM

Check

Altmetric


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