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

Sarita Guy; Li Li; Peter C Thomson; Susanne Hermesch

doi:10.1071/ANv57n12Ab015

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

Sarita Guy
, Li Li
, Peter C Thomson
, Susanne Hermesch

Animal Genetics and Breeding Unit

Research output: Contribution to conference › Abstract › peer-review

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.

Original language	English
Pages	2463-2463
DOIs	https://doi.org/10.1071/ANv57n12Ab015
Publication status	Published - 2017
Event	APSA 2017: 16th Biennial Conference of the Australasian Pig Science Association - Melbourne, Australia Duration: 19 Nov 2017 → 22 Nov 2017

Conference

Conference	APSA 2017: 16th Biennial Conference of the Australasian Pig Science Association
City	Melbourne, Australia
Period	19/11/17 → 22/11/17

Keywords

Animal Breeding

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10.1071/ANv57n12Ab015

https://hdl.handle.net/1959.11/23475

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

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.",

keywords = "Animal Breeding",

author = "Sarita Guy and Li Li and Thomson, \{Peter C\} and Susanne Hermesch",

year = "2017",

doi = "10.1071/ANv57n12Ab015",

language = "English",

pages = "2463--2463",

note = "APSA 2017: 16th Biennial Conference of the Australasian Pig Science Association ; Conference date: 19-11-2017 Through 22-11-2017",

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AU - Guy, Sarita

AU - Li, Li

AU - Thomson, Peter C

AU - Hermesch, Susanne

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - Animal Breeding

UR - http://www.apsa.asn.au/Conference2017.aspx

U2 - 10.1071/ANv57n12Ab015

DO - 10.1071/ANv57n12Ab015

M3 - Abstract

SP - 2463

EP - 2463

T2 - APSA 2017: 16th Biennial Conference of the Australasian Pig Science Association

Y2 - 19 November 2017 through 22 November 2017

ER -

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

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Keywords

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