Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/31263
Title: Is there genetic variation in foetal loss after pregnancy scanning in sheep?
Contributor(s): Brown, D J  (author)orcid ; Bunter, K L  (author)orcid ; Swan, A A  (author)orcid 
Publication Date: 2021
Open Access: Yes
Handle Link: https://hdl.handle.net/1959.11/31263
Related DOI: 10.1071/ANv61n3abs
Abstract: Pregnancy scanning in sheep has become an important management tool for the Australian sheep industry. Industry statistics suggest significant losses from pregnancy scanning to lamb marking, ranging from 10% for singles and 28%for twins (Allworth et al. 2016). This difference is a combination of loss (foetal and lamb) and also errors in the data and/or incomplete recording. This also means that it is not always loss when a ewe has more lambs born than scanned and this could be a combination of scanning error and/or lamb identification error. The expectation is that most foetal loss occurs early in pregnancy. Pregnancy loss after pregnancy diagnosis (typically mid-pregnancy) in healthy sheep is normally low (<5%) and is influenced by litter size (Dixon et al, 2007).
Publication Type: Conference Publication
Conference Details: AAAS 2021: 33rd Biennial Conference of the Australian Association of Animal Sciences, Fremantle, Australia, 1st - 3rd February, 2021
Source of Publication: Animal Production Science, 61(3), p. cxlviii-cxlviii
Publisher: CSIRO Publishing
Place of Publication: Australia
ISSN: 0728-5965
Fields of Research (FoR) 2020: 300305 Animal reproduction and breeding
Socio-Economic Objective (SEO) 2020: 100412 Sheep for meat
100413 Sheep for wool
HERDC Category Description: E3 Extract of Scholarly Conference Publication
Description: Publication also known as Animal Production in Australia, volume 33
Appears in Collections:Animal Genetics and Breeding Unit (AGBU)
Conference Publication

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

Page view(s)

1,738
checked on Nov 5, 2023

Download(s)

6
checked on Nov 5, 2023
Google Media

Google ScholarTM

Check


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