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

Heuven HC, van Wijk RH, Dibbits B, van Kampen TA, Knol EF, Bovenhuis H - Genet. Sel. Evol. (2009)

Bottom Line: These results agreed well with previous QTL-studies involving SSC2.To address this question, we compared models with a single QTL-variance component with models allowing for separate sire and dam QTL-variance components.Combining association and linkage information among haplotypes improved slightly the significance of the QTL compared to an analysis using linkage information only.

View Article: PubMed Central - HTML - PubMed

Affiliation: Animal Breeding and Genomics Centre, Wageningen University, Wageningen, The Netherlands. h.c.m.heuven@uu.nl

ABSTRACT
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.

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Related in: MedlinePlus

LRT profiles for meat quality traits with QTL. Thresholds are corrected for multiple testing and averaged over traits; triangles on the X-axes indicate the location of the markers
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Figure 1: LRT profiles for meat quality traits with QTL. Thresholds are corrected for multiple testing and averaged over traits; triangles on the X-axes indicate the location of the markers

Mentions: Results are shown for the model applying a single variance component as well as for the two-component model, i.e. allowing for different variances among paternal and among maternal haplotypes. The LRT statistics and position of the QTL were very similar for both models. LRT-profiles for meat quality traits with significant QTL are shown in Figure 1 using LRT-values from the two-component model. In Figure 2 similar profiles are shown for carcass quality traits. Applying an analysis using linkage information only (LA-only) showed fewer and less significant QTL (Table 2). Especially for ham-related traits linkage disequilibrium information seems to be of added value.


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

Heuven HC, van Wijk RH, Dibbits B, van Kampen TA, Knol EF, Bovenhuis H - Genet. Sel. Evol. (2009)

LRT profiles for meat quality traits with QTL. Thresholds are corrected for multiple testing and averaged over traits; triangles on the X-axes indicate the location of the markers
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC2637027&req=5

Figure 1: LRT profiles for meat quality traits with QTL. Thresholds are corrected for multiple testing and averaged over traits; triangles on the X-axes indicate the location of the markers
Mentions: Results are shown for the model applying a single variance component as well as for the two-component model, i.e. allowing for different variances among paternal and among maternal haplotypes. The LRT statistics and position of the QTL were very similar for both models. LRT-profiles for meat quality traits with significant QTL are shown in Figure 1 using LRT-values from the two-component model. In Figure 2 similar profiles are shown for carcass quality traits. Applying an analysis using linkage information only (LA-only) showed fewer and less significant QTL (Table 2). Especially for ham-related traits linkage disequilibrium information seems to be of added value.

Bottom Line: These results agreed well with previous QTL-studies involving SSC2.To address this question, we compared models with a single QTL-variance component with models allowing for separate sire and dam QTL-variance components.Combining association and linkage information among haplotypes improved slightly the significance of the QTL compared to an analysis using linkage information only.

View Article: PubMed Central - HTML - PubMed

Affiliation: Animal Breeding and Genomics Centre, Wageningen University, Wageningen, The Netherlands. h.c.m.heuven@uu.nl

ABSTRACT
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.

Show MeSH
Related in: MedlinePlus