Universitat de Lleida
    • English
    • català
    • español
  • English 
    • English
    • català
    • español
  • Login
Repositori Obert UdL
View Item 
  •   Home
  • Recerca
  • Ciència Animal
  • Articles publicats (Ciència Animal)
  • View Item
  •   Home
  • Recerca
  • Ciència Animal
  • Articles publicats (Ciència Animal)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

On the compositional analysis of fatty acids in pork

Thumbnail
View/Open
Postprint (227.9Kb)
Issue date
2014-03-01
Author
Ros Freixedes, Roger
Estany Illa, Joan
Suggested citation
Ros Freixedes, Roger; Estany Illa, Joan; . (2014) . On the compositional analysis of fatty acids in pork. Journal of Agricultural Biological and Environmental Statistics, 2014, vol. 19, num. 1, p. 136-155. https://doi.org/10.1007/s13253-013-0162-x.
Impact


Web of Science logo    citations in Web of Science

Scopus logo    citations in Scopus

Google Scholar logo  Google Scholar
Share
Export to Mendeley
Metadata
Show full item record
Abstract
Fatty acid (FA) composition of pork is an important issue for the pig industry and consumers. Fatty acid composition is commonly described as the percentages of a set of FA relative to total FA and therefore should be statistically treated as compositional data. To our knowledge there is no reference in the literature where specific methods for compositional data analysis have been applied to analyze FA composition in meat quality research. The purposes of this study were (1) to present an overview of compositional data analysis techniques, (2) to apply them to the analysis of the FA composition of muscles and subcutaneous fat from 941 pigs as a case study, and (3) to discuss and interpret the results with respect to those obtained using standard techniques. Results from both approaches indicate that FA composition differed across tissues and muscles but also, for a given muscle, with the intramuscular fat content. It is concluded that FA composition in pork did not display enough variability to become critical for standard statistics, particularly if the individual FA parts remain the same across experiments. However, even in such case, compositional analysis may be useful to correctly interpret the correlation structure among FA.
URI
http://hdl.handle.net/10459.1/67946
DOI
https://doi.org/10.1007/s13253-013-0162-x
Is part of
Journal of Agricultural Biological and Environmental Statistics, 2014, vol. 19, num. 1, p. 136-155
European research projects
Collections
  • Articles publicats (Ciència Animal) [666]
  • Articles publicats (Agrotecnio Center) [1330]
  • Publicacions de projectes de recerca del Plan Nacional [2958]

Contact Us | Send Feedback | Legal Notice
© 2023 BiD. Universitat de Lleida
Metadata subjected to 
 

 

Browse

All of the repositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

Statistics

View Usage Statistics

D'interès

Política institucional d'accés obertDiposita les teves publicacionsDiposita dades de recercaSuport a la recerca

Contact Us | Send Feedback | Legal Notice
© 2023 BiD. Universitat de Lleida
Metadata subjected to