Using novel partitioning methodologies to enable genetic parameter estimation for reproductive traits affected by porcine reproductive and respiratory syndrome virus (PRRSV) in pigs

Craig Lewis; M Torremorell; S C Bishop

Using novel partitioning methodologies to enable genetic parameter estimation for reproductive traits affected by porcine reproductive and respiratory syndrome virus (PRRSV) in pigs

Craig Lewis, M Torremorell, S C Bishop

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Predictive models have previously been applied to viral diseases such as porcine reproductive and respiratory syndrome virus (PRRSV) and have demonstrated that selection for resistance can reduce the likelihood of epidemics or the impact of disease on infected animals (Bishop and MacKenzie, 2003). Key components of selection programs for disease resistance are the characterisation of genetic variation and the identification of genetic markers or QTL associated with resistance to, or tolerance of, the pathogen. The growing evidence for genetic variation in host susceptibility to PRRSV has been described in the review by Lewis et al. (2007). This study seeks to develop data partitioning methodologies for describing the impacts of disease on pig performance, and estimate heritabilities traits affected by PRRSV.

Original language	English
Title of host publication	Proceedings of the British Society of Animal Science 2008
Place of Publication	United Kingdom
Publisher	British Society of Animal Science (BSAS)
Pages	104-104
ISBN (Print)	9780906562604
Publication status	Published - 2008
Event	BSAS Conference 2008: British Society of Animal Science Annual Conference 2009 - Scarborough, United Kingdom Duration: 31 Mar 2008 → 2 Apr 2008

Conference

Conference	BSAS Conference 2008: British Society of Animal Science Annual Conference 2009
City	Scarborough, United Kingdom
Period	31/03/08 → 2/04/08

Keywords

Animal Breeding

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Lewis, C., Torremorell, M., & Bishop, S. C. (2008). Using novel partitioning methodologies to enable genetic parameter estimation for reproductive traits affected by porcine reproductive and respiratory syndrome virus (PRRSV) in pigs. In Proceedings of the British Society of Animal Science 2008 (pp. 104-104). British Society of Animal Science (BSAS). https://hdl.handle.net/1959.11/6528

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title = "Using novel partitioning methodologies to enable genetic parameter estimation for reproductive traits affected by porcine reproductive and respiratory syndrome virus (PRRSV) in pigs",

abstract = "Predictive models have previously been applied to viral diseases such as porcine reproductive and respiratory syndrome virus (PRRSV) and have demonstrated that selection for resistance can reduce the likelihood of epidemics or the impact of disease on infected animals (Bishop and MacKenzie, 2003). Key components of selection programs for disease resistance are the characterisation of genetic variation and the identification of genetic markers or QTL associated with resistance to, or tolerance of, the pathogen. The growing evidence for genetic variation in host susceptibility to PRRSV has been described in the review by Lewis et al. (2007). This study seeks to develop data partitioning methodologies for describing the impacts of disease on pig performance, and estimate heritabilities traits affected by PRRSV.",

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author = "Craig Lewis and M Torremorell and Bishop, \{S C\}",

year = "2008",

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pages = "104--104",

booktitle = "Proceedings of the British Society of Animal Science 2008",

publisher = "British Society of Animal Science (BSAS)",

note = "BSAS Conference 2008: British Society of Animal Science Annual Conference 2009 ; Conference date: 31-03-2008 Through 02-04-2008",

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Lewis, C, Torremorell, M & Bishop, SC 2008, Using novel partitioning methodologies to enable genetic parameter estimation for reproductive traits affected by porcine reproductive and respiratory syndrome virus (PRRSV) in pigs. in Proceedings of the British Society of Animal Science 2008. British Society of Animal Science (BSAS), United Kingdom, pp. 104-104, BSAS Conference 2008: British Society of Animal Science Annual Conference 2009, Scarborough, United Kingdom, 31/03/08. <https://hdl.handle.net/1959.11/6528>

Using novel partitioning methodologies to enable genetic parameter estimation for reproductive traits affected by porcine reproductive and respiratory syndrome virus (PRRSV) in pigs. / Lewis, Craig; Torremorell, M; Bishop, S C.
Proceedings of the British Society of Animal Science 2008. United Kingdom: British Society of Animal Science (BSAS), 2008. p. 104-104.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Using novel partitioning methodologies to enable genetic parameter estimation for reproductive traits affected by porcine reproductive and respiratory syndrome virus (PRRSV) in pigs

AU - Lewis, Craig

AU - Torremorell, M

AU - Bishop, S C

PY - 2008

Y1 - 2008

N2 - Predictive models have previously been applied to viral diseases such as porcine reproductive and respiratory syndrome virus (PRRSV) and have demonstrated that selection for resistance can reduce the likelihood of epidemics or the impact of disease on infected animals (Bishop and MacKenzie, 2003). Key components of selection programs for disease resistance are the characterisation of genetic variation and the identification of genetic markers or QTL associated with resistance to, or tolerance of, the pathogen. The growing evidence for genetic variation in host susceptibility to PRRSV has been described in the review by Lewis et al. (2007). This study seeks to develop data partitioning methodologies for describing the impacts of disease on pig performance, and estimate heritabilities traits affected by PRRSV.

AB - Predictive models have previously been applied to viral diseases such as porcine reproductive and respiratory syndrome virus (PRRSV) and have demonstrated that selection for resistance can reduce the likelihood of epidemics or the impact of disease on infected animals (Bishop and MacKenzie, 2003). Key components of selection programs for disease resistance are the characterisation of genetic variation and the identification of genetic markers or QTL associated with resistance to, or tolerance of, the pathogen. The growing evidence for genetic variation in host susceptibility to PRRSV has been described in the review by Lewis et al. (2007). This study seeks to develop data partitioning methodologies for describing the impacts of disease on pig performance, and estimate heritabilities traits affected by PRRSV.

KW - Animal Breeding

UR - http://www.bsas.org.uk/downloads/annlproc/Pdf2008/pdf2008.pdf

M3 - Conference contribution

SN - 9780906562604

SP - 104

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BT - Proceedings of the British Society of Animal Science 2008

PB - British Society of Animal Science (BSAS)

CY - United Kingdom

T2 - BSAS Conference 2008: British Society of Animal Science Annual Conference 2009

Y2 - 31 March 2008 through 2 April 2008

ER -

Using novel partitioning methodologies to enable genetic parameter estimation for reproductive traits affected by porcine reproductive and respiratory syndrome virus (PRRSV) in pigs

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Keywords

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