Hostname: page-component-78c5997874-m6dg7 Total loading time: 0 Render date: 2024-11-10T01:10:52.469Z Has data issue: false hasContentIssue false

Novel quantitative trait loci for chemical body composition traits in pigs

Published online by Cambridge University Press:  22 November 2017

C. Duthie*
Affiliation:
Scottish Agricultural College, Edinburgh, United Kingdom
G. Simm
Affiliation:
Scottish Agricultural College, Edinburgh, United Kingdom
P. Knap
Affiliation:
PIC International Group, Schleswig, Germany
A. Wilson
Affiliation:
Scottish Agricultural College, Edinburgh, United Kingdom
E. Kalm
Affiliation:
Christian-Albrechts-University of Kiel, Kiel, Germany
R. Roehe
Affiliation:
Scottish Agricultural College, Edinburgh, United Kingdom
Get access

Extract

Quantitative trait loci (QTL) associated with physical and chemical body composition of the pig are of substantial economic interest. Previous studies have reported QTL for physical body composition such as lean and fat tissue traits (Roehe et al., 2003). In contrast, QTL associated with chemical body composition and for the change in deposition of such components during growth have only been reported in one previous study (Mohrmann et al., 2006). Knowledge of the genomic regulation of body composition during growth is important to accurately estimate nutritional requirements, optimise the entire production system, characterise the population of interest, and to optimise food intake capacity by breeding.

Type
Theatre Presentations
Copyright
Copyright © The British Society of Animal Science 2007

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Mohrmann, M., Roehe, R., Knap, P. W., Looft, H., Plastow, G. S., and Kalm, E. 2006. Animal Genetics, 37:435–443.CrossRefGoogle Scholar
Roehe, R., Plastow, G. S., and Knap, P. W. 2003. Homo-Journal of Comparative Human Biology, 54:119–131.Google Scholar
Seaton, G., Haley, C. S., Knott, S. A., Kearsey, M., and Visscher, P. M. 2002. Bioinformatics, 18:339–340.Google Scholar