Seasonal effects can be separated from other challenges in the pig environment using time series analysis

Title
Seasonal effects can be separated from other challenges in the pig environment using time series analysis
Publication Date
2017
Author(s)
Guy, Sarita
( author )
OrcID: https://orcid.org/0000-0002-5553-1808
Email: sguy6@une.edu.au
UNE Id une-id:sguy6
Li, Li
( author )
OrcID: https://orcid.org/0000-0002-3601-9729
Email: lli4@une.edu.au
UNE Id une-id:lli4
Thomson, Peter C
Hermesch, Susanne
( author )
OrcID: https://orcid.org/0000-0002-9647-5988
Email: skahtenb@une.edu.au
UNE Id une-id:skahtenb
Type of document
Conference Publication
Language
en
Entity Type
Publication
Publisher
CSIRO Publishing
Place of publication
Australia
Series
Manipulating Pig Production
DOI
10.1071/ANv57n12Ab015
UNE publication id
une:23657
Abstract
The pig environment can be quantified through the mean performance of a contemporary group (CG), adjusted for systematic and genetic effects (Li and Hermesch 2016). The objective of this study was to use time series analysis to decompose CG estimates into the seasonal, long-term trend and residual components generally observed in time series data. It was hypothesised that seasonal effects can be partitioned from the other environmental challenges that are simultaneously captured in CG estimates of average daily gain.
Link
Citation
Animal Production Science, 57(12), p. 2463-2463
ISSN
1836-5787
1836-0939
Start page
2463
End page
2463

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