Journal
AQUACULTURE RESEARCH
Volume 47, Issue 4, Pages 1067-1074Publisher
WILEY
DOI: 10.1111/are.12563
Keywords
European sea bass; gilthead sea bream; turbot; sole; fillet; fatty acid composition
Categories
Funding
- Spanish (AQUAFAT) project [AGL2009-07797]
- EU (ARRAINA) project [KBBE-2011-5-288925]
- Generalitat Valenciana [PROMETEO 2010/006]
- Diputacion Provincial de Castellon
- Spanish (Predictive modelling of flesh fatty acid composition in cultured fish species with different muscle lipid content) project
- EU (Advanced research initiatives for nutrition and aquaculture) project
Ask authors/readers for more resources
The aim of the study was to validate a dummy regression approach for predictive modelling the fillet fatty acid (FA) composition of cultured European sea bass with dietary FA composition and lipid fillet content as independent variables. The model used our own data on gilthead sea bream as reference subgroup dataset and data from turbot, sole and European sea bass as dummy variables. Most of the observed variance within and among species was explained by the regression model without statistical significant interactions on blocks between diet composition and fish species subgroups. For the validation of European sea bass FA descriptors, predictive values derived from data on fish reared at laboratory scale were plotted against those obtained in farmed fish harvested at commercial size. A close linear association near to equality was found for 12 representative FAs, including saturated FAs, monoenenes and polyunsaturated FAs. This finding reinforces the possibility to produce tailored and healthy seafood products according to the guidelines of essential FA requirements in humans. FA algorithms for all the species in the model are hosted at as a multispecies tool to interrogate the nutritionally regulated FA composition of four cultured marine fish species of a high added value.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available