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.
| Original language | English |
|---|---|
| Pages (from-to) | 581-584 |
| Journal | Proceedings of the Association for the Advancement of Animal Breeding and Genetics |
| Volume | 22 |
| Publication status | Published - 2017 |
| Event | AAABG 2017: 22nd Conference of the Association for the Advancement of Animal Breeding and Genetics - Townsville, Australia Duration: 2 Jul 2017 → 5 Jul 2017 |
Keywords
- Animal Breeding
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