Prédiction du profil en acides gras polyinsaturés n-6 et n-3 a partir des acides gras majeurs dans la viande bovine
Résumé
The aim of this study was to develop prediction equations for determining n-6 and n-3 polyunsaturated fatty acid
(PUFA) content in beef to serve the industry as a complementary tool alongside near-infrared spectrometry (NIRS) for
assessing the nutritional quality of beef carcasses as a starting point for a beef carcass classification scheme. This study
had two objectives: 1) to predict the n-6 and n-3 PUFA composition of beef using saturated fatty acids (SFA),
monounsaturated fatty acids (MUFA) and total PUFA contents together with livestock-related data from slaughterhouse
records and 2) to validate these equations by data predicted by NIRS. Very satisfactory prediction equations were
obtained (R²>0.9) and validated (R²>0.75) for total n-6 PUFA and 18:2 n-6. For total n-3 PUFA and 18:3 n-3,
prediction equations yielded R² value of 0.77 but they were not validated with data predicted by NIRS.