Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/215386
Title: The effects of mild prenatal stress during mid- and late-pregnancy, on lamb vigour traits
Contributor(s): Labeur, Lea  (author); Hinch, Geoffrey (supervisor)orcid ; Schmoelzl, Sabine (supervisor)orcid ; Small, Allison (supervisor)
Corporate Author: Commonwealth Scientific and Industrial Research Organisation (CSIRO): Australia
Publication Date: 2018-04-09
Handle Link: https://hdl.handle.net/1959.11/215386
Abstract/Context: The datasets include data gathered on both pregnant ewes and newborn lambs. In pregnant ewes we collected, health checks and blood samples which were analysed for glucose and lactate before and after the stress treatments. In newborn lambs we collected data relating to vigour traits such as body dimensions, reactivity during a behaviour test and body surface temperature using IRT during a cold challenge.
Publication Type: Dataset
Fields of Research (FOR): 070201 Animal Breeding
070203 Animal Management
Fields of Research (FoR) 2020: 300305 Animal reproduction and breeding
300302 Animal management
Socio-Economic Objective (SEO): 839901 Animal Welfare
Socio-Economic Objective (SEO) 2020: 109902 Animal welfare
Keywords: Lamb vigour
Lamb survival
Infrared thermography
Neonatal behaviour
Prenatal stress
Location Coordinates: north=-30.50828; east=151.67123; projection=WGS84
Format: Multiple datasets with CSIRO
Access rights: Mediated
Open Access Embargo: 2019-04-10
HERDC Category Description: X Dataset
Description: The thesis with which this dataset is associated is available here: https://hdl.handle.net/1959.11/28885.
Project: The Effects of Mild Prenatal Stress During Mid-and-Late-Pregnancy on Lamb Vigour Traits
Dataset Managed By: School of Environmental and Rural Science
Rights Holder: CSIRO
Rights Statement: Contact CSIRO to request access to data. Data is provided as open access via the CSIRO
Dataset Stored at: Univeristy of New England
Primary Contact Details: Lea Labeur - lea.labeur@gmail.com
Dataset Custodian Details: Sabine Schmoelzl - sschmoel@une.edu.au
Appears in Collections:Dataset
School of Environmental and Rural Science
School of Science and Technology

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