Mapping carcass and meat quality QTL on Sus Scrofa chromosome 2 in commercial finishing pigs

Autor: Bert Dibbits, Tony A van Kampen, Rik H J van Wijk, Henk Bovenhuis, Henri C M Heuven, Egbert F. Knol
Jazyk: němčina
Rok vydání: 2009
Předmět:
Quality Control
Linkage disequilibrium
Meat
Genotype
lcsh:QH426-470
Sus scrofa
Population
pietrain resource population
Quantitative trait locus
Biology
Animal Breeding and Genomics
Crossbreed
intramuscular fat
Animal science
Alterra - Strategie
Genetics
Animals
Genetics(clinical)
pork quality
Fokkerij en Genomica
education
genome
large white
Ecology
Evolution
Behavior and Systematics
lcsh:SF1-1100
Marketing en Communicatie
Linkage (software)
education.field_of_study
Alterra - Strategie
Marketing en Communicatie
Research
Linkage Disequilibrium Mapping
igf2 locus
Sire
Chromosome Mapping
food and beverages
General Medicine
Chromosomes
Mammalian
combined linkage
lcsh:Genetics
muscle mass
quantitative trait loci
WIAS
Hybridization
Genetic
identification
Animal Science and Zoology
Intramuscular fat
lcsh:Animal culture
Zdroj: Genetics Selection Evolution, Vol 41, Iss 1, p 4 (2009)
Genetics, Selection, Evolution, 41
Genetics, Selection, Evolution 41 (2009)
Genetics, Selection, Evolution. : GSE
ISSN: 1297-9686
0999-193X
Popis: Quantitative trait loci (QTL) affecting carcass and meat quality located on SSC2 were identified using variance component methods. A large number of traits involved in meat and carcass quality was detected in a commercial crossbred population: 1855 pigs sired by 17 boars from a synthetic line, which where homozygous (A/A) for IGF2. Using combined linkage and linkage disequilibrium mapping (LDLA), several QTL significantly affecting loin muscle mass, ham weight and ham muscles (outer ham and knuckle ham) and meat quality traits, such as Minolta-L* and -b*, ultimate pH and Japanese colour score were detected. These results agreed well with previous QTL-studies involving SSC2. Since our study is carried out on crossbreds, different QTL may be segregating in the parental lines. To address this question, we compared models with a single QTL-variance component with models allowing for separate sire and dam QTL-variance components. The same QTL were identified using a single QTL variance component model compared to a model allowing for separate variances with minor differences with respect to QTL location. However, the variance component method made it possible to detect QTL segregating in the paternal line (e.g. HAMB), the maternal lines (e.g. Ham) or in both (e.g. pHu). Combining association and linkage information among haplotypes improved slightly the significance of the QTL compared to an analysis using linkage information only.
Databáze: OpenAIRE
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