Walkom, Samuel; Ferguson, M B; Gibson, W; Brown, Daniel; Bunter, Kim L

Author(s)

Walkom, Samuel

Ferguson, M B

Gibson, W

Brown, Daniel

Bunter, Kim L

Publication Date

2017

Abstract

Footrot is a highly contagious hoof disease of sheep, the expression of which depends on environmental conditions and the presence of infective strains of bacteria. Footrot scored from field exposure is, therefore, a potentially difficult trait to analyse across time and production environments. This study explores the use of pre-analysis transformation techniques to account for the disease incidence and pattern of scores obtained, using footrot as an example. A biological transformation, where the phenotypes were transformed to a similar incidence level based on a nonlinear transition of scores over time produced the highest rank correlation of the sire's breeding values across challenges compared to more traditional statistical transformation techniques. The results suggest that using a transformation based on biological information is likely to improve the estimation of breeding values for footrot.

Citation

Proceedings of the Association for the Advancement of Animal Breeding and Genetics, v.22, p. 581-584

ISSN

1328-3227

Link

https://hdl.handle.net/1959.11/23433

Publisher

Association for the Advancement of Animal Breeding and Genetics (AAABG)

Title

Accommodating Variable Disease Challenge on Breeding Value Prediction for Sires - Using Footrot as an Example

Type of document

Conference Publication

Entity Type

Publication

Author(s)	Walkom, Samuel Ferguson, M B Gibson, W Brown, Daniel Bunter, Kim L
Publication Date	2017
Abstract	Footrot is a highly contagious hoof disease of sheep, the expression of which depends on environmental conditions and the presence of infective strains of bacteria. Footrot scored from field exposure is, therefore, a potentially difficult trait to analyse across time and production environments. This study explores the use of pre-analysis transformation techniques to account for the disease incidence and pattern of scores obtained, using footrot as an example. A biological transformation, where the phenotypes were transformed to a similar incidence level based on a nonlinear transition of scores over time produced the highest rank correlation of the sire's breeding values across challenges compared to more traditional statistical transformation techniques. The results suggest that using a transformation based on biological information is likely to improve the estimation of breeding values for footrot.
Citation	Proceedings of the Association for the Advancement of Animal Breeding and Genetics, v.22, p. 581-584
ISSN	1328-3227
Link	https://hdl.handle.net/1959.11/23433
Publisher	Association for the Advancement of Animal Breeding and Genetics (AAABG)
Title	Accommodating Variable Disease Challenge on Breeding Value Prediction for Sires - Using Footrot as an Example
Type of document	Conference Publication
Entity Type	Publication

Accommodating Variable Disease Challenge on Breeding Value Prediction for Sires - Using Footrot as an Example

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