Staff Publications

Staff Publications

  • external user (warningwarning)
  • Log in as
  • language uk
  • About

    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 441324
Title Identification of proteomic biomarkers in M. Longissimus dorsi as potential predictors of pork quality
Author(s) Pas, M.F.W. te; Kruijt, L.; Pierzchala, M.; Crump, R.E.; Boeren, S.; Keuning, E.; Hoving-Bolink, A.H.; Hortós, M.; Gispert, M.; Arnau, J.; Diestre, A.; Mulder, H.A.
Source Meat Science 95 (2013)3. - ISSN 0309-1740 - p. 679 - 687.
DOI https://doi.org/10.1016/j.meatsci.2012.12.015
Department(s) Animal Breeding & Genomics
Biochemistry
Research
Animal Breeding and Genomics
WIAS
Publication type Refereed Article in a scientific journal
Publication year 2013
Keyword(s) meat quality - sample preparation - muscles - values - performance - expression - slaughter - traits - system - breeds
Abstract Meat quality traits have low heritability and large environmental influences. To predict, improve and manage meat quality, proteomic biomarkers are superior to genetic markers. The objectives of this research were (1) to find associations between proteome profiles of longissimus muscle at slaughter and meat quality SELDI-TOF proteome profiles of 142 LargeWhite × Duroc cross pigs showed relationships among peaks or combinations of peaks and meat quality traits with highest significance for drip loss and ultimate pH. Calculated accuracies of prediction of traits ranged from 20 up to 80%. Differentially expressed proteins related to drip loss and ultimate pH were identified by NanoLC-FTMSMS. The proteins highlight biological mechanisms that may explain how these traits develop biologically and how they are related to each other
Comments
There are no comments yet. You can post the first one!
Post a comment
 
Please log in to use this service. Login as Wageningen University & Research user or guest user in upper right hand corner of this page.