Literature DB >> 22444204

Selection for carcass quality in hill sheep measured by X-ray computer tomography.

E Karamichou1, B G Merrell, W A Murray, G Simm, S C Bishop.   

Abstract

This paper describes an investigation of the use of computer tomography (CT) to genetically improve carcass composition and conformation in Scottish Blackface sheep. After 5 years of selection on an index designed to improve both composition and conformation (the 'CT index'), a large response was observed in the CT index, with genetic progress equivalent to 0.11 phenotypic standard deviations per year. Heritabilities for the index and for the component traits of average CT-assessed muscle area, ultrasonic muscle depth and ultrasonic fat depth were 0.41 (s.e. 0.08), 0.38 (s.e. 0.07), 0.41 (s.e. 0.05) and 0.30 (s.e. 0.05), respectively. The index was positively genetically correlated with ultrasonic muscle depth and carcass weight and negatively genetically correlated with fat class. The genetic and phenotypic correlations among ultrasonic measurements were positive and moderate. However, many of the genetic correlations tended to have large standard errors. Selection on the CT index moderately improved conformation and was successful at decreasing fat class of the carcass. Equivalent selection on live weight at ultrasound scanning would improve carcass and slaughter weight, and total price received, but would have a slightly deleterious impact on conformation score. The results of this study demonstrate that genetic improvement of carcass quality can be achieved in hill sheep using CT assessed traits.

Entities:  

Year:  2007        PMID: 22444204     DOI: 10.1017/S1751731107413684

Source DB:  PubMed          Journal:  Animal        ISSN: 1751-7311            Impact factor:   3.240


  2 in total

1.  A genetic evaluation of growth, ultrasound, and carcass traits at alternative slaughter endpoints in crossbred heavy lambs.

Authors:  Erin Massender; Luiz F Brito; Angela Cánovas; Christine F Baes; Delma Kennedy; Flavio S Schenkel
Journal:  J Anim Sci       Date:  2019-02-01       Impact factor: 3.159

2.  Nondestructive methods for quality evaluation of livestock products.

Authors:  K Narsaiah; Shyam N Jha
Journal:  J Food Sci Technol       Date:  2011-02-17       Impact factor: 2.701

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.