Release 56
(Apr 24, 2025)

This linkage-map based data has been obsolete
(see Release notes 51, 52, 53). Information
provided here is only for retrospective online
support of publications that used this data.

QTL 372 Description:

 Trait Information
Trait name: Meat color Vertebrate Trait Ontology: n/a
Trait details: a*-value Product Trait Ontology: Meat color
Symbol: MCOL Clinical Measurement Ontology: n/a
 QTL Map Information
Chromosome:15
QTL Peak Location:89.3 (cM)
QTL Span:109.62-109.64 (cM)
143.5-143.5 (Mbp)
Upper, "Suggestive":SW936
Upper, "Significant":RN
Peak:SW906
Lower, "Significant":n/a
Lower, "Suggestive":n/a
Marker type:Microsatellites
Analysis type:QTL
Model tested:n/a
Test base:n/a
Threshold significance level:n/a
P_values0.0300
Dominance effect:n/a
Additive effect:n/a
Associated Gene:IL1B (interleukin 1, beta)
Cis/Trans acting type:
Links:   Edit  |   Map view

 Extended information:
(none)

User inputs on QTL #372
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  •  QTL Experiment in Brief
    Animals:72 pigs were randomly selected from a commercial farm in Denmark.
     Breeds associated:
    n/a
    Design:Several meat quality traits were measured including glycolytic potential and RN gene was genotyped for association study.
    Analysis:Normality was determined GLM procedure using a model with RN genotype as fixed effects; Least square means were tested for significant difference.
    Software:SAS.
    Notes:RN gene is mapped to ssc 15 (thearkdb.org
    Links:Edit

     Reference
    Authors:Bertram, H.C., Petersen, J.S. & Andersen, H.J
    Affiliation:
    Title:Relationship between RN- genotype and drip loss in meat from Dansh pigs.
    Journal:Meat science, 2000, 56: 49-55.
    Links:  PubMed  |  Abstract   |  List all data   |  Edit  
    User inputs on reference #22061770
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  • Cite this Data:

    Animal QTLdb: QTL372 was published in 2000, and was curated into QTLdb on 2003-12-20. DBxREF link to this data: https://www.animalgenome.org/QTLdb/q?id=QTL_ID:372

     

    © 2003-2025: USA · USDA · NRPSP8 · Program to Accelerate Animal Genomics Applications. Contact: Bioinformatics Team