Genome-wide identification of quantitative trait loci in a cross between Hampshire and Landrace I: carcass traits

Karlskov-Mortensen, P; Bruun, C S; Braunschweig, M H; Sawera, M; Markljung, E; Enfält, A C; Hedebro-Velander, I; Josell, A; Lindahl, G; Lundström, K; von Seth, G; Jørgensen, C B; Andersson, L; Fredholm, M (2006). Genome-wide identification of quantitative trait loci in a cross between Hampshire and Landrace I: carcass traits. Animal genetics, 37(2), pp. 156-62. Oxford: Blackwell 10.1111/j.1365-2052.2005.01405.x

Full text not available from this repository.

We report the identification of quantitative trait loci (QTL) affecting carcass composition, carcass length, fat deposition and lean meat content using a genome scan across 462 animals from a combined intercross and backcross between Hampshire and Landrace pigs. Data were analysed using multiple linear regression fitting additive and dominance effects. This model was compared with a model including a parent-of-origin effect to spot evidence of imprinting. Several precisely defined muscle phenotypes were measured in order to dissect body composition in more detail. Three significant QTL were detected in the study at the 1% genome-wide level, and twelve significant QTL were detected at the 5% genome-wide level. These QTL comprise loci affecting fat deposition and lean meat content on SSC1, 4, 9, 10, 13 and 16, a locus on SSC2 affecting the ratio between weight of meat and bone in back and weight of meat and bone in ham and two loci affecting carcass length on SSC12 and 17. The well-defined phenotypes in this study enabled us to detect QTL for sizes of individual muscles and to obtain information of relevance for the description of the complexity underlying other carcass traits.

Item Type:	Journal Article (Original Article)
Division/Institute:	05 Veterinary Medicine > Department of Clinical Research and Veterinary Public Health (DCR-VPH) > Institute of Genetics
UniBE Contributor:	Braunschweig, Martin
ISSN:	0268-9146
Publisher:	Blackwell
Language:	English
Submitter:	Factscience Import
Date Deposited:	04 Oct 2013 14:45
Last Modified:	05 Dec 2022 14:13
Publisher DOI:	10.1111/j.1365-2052.2005.01405.x
PubMed ID:	16573530
Web of Science ID:	000236177000009
URI:	https://boris.unibe.ch/id/eprint/18482 (FactScience: 627)