Multivariate modelling of milk fatty acid profile to discriminate the forages in dairy cows' ration

Sci Rep. 2021 Dec 1;11(1):23201. doi: 10.1038/s41598-021-02600-9.

Abstract

Although there are many studies on the importance of fatty acids (FA) in our diet and on the influence of dairy diets on FA metabolism, only a few investigate their predictive capacity to discriminate the type, amount and conservation method of farm forages. This research quantifies differences in milk FA concentrations and, using a supervised factorial discriminant analysis, assesses potential biomarkers when replacing maize with other silages, grass/lucerne hays or fresh grass. The statistical modelling identified three main clusters of milk FA profiles associated with silages, hays and fresh grass as dominant roughages. The main implication of a dairy cow feeding system based on poliphytic forages from permanent meadows is enhancing milk's nutritional quality due to an increase in beneficial omega-3 polyunsaturated FA, conjugated linoleic acids and odd chain FA, compared to feeding maize silage. The study also identified a small but powerful and reliable pool of milk FA that can act as biomarkers to authenticate feeding systems: C16:1 c-9, C17:0, C18:0, C18:3 c-9, c-12, c-15, C18:1 c-9, C18:1 t-11 and C20:0.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animal Feed* / analysis
  • Animal Nutritional Physiological Phenomena
  • Animals
  • Cattle / physiology*
  • Dairying
  • Diet / veterinary
  • Discriminant Analysis
  • Fatty Acids / analysis*
  • Fatty Acids / metabolism
  • Female
  • Lactation
  • Milk / chemistry*
  • Milk / metabolism
  • Multivariate Analysis
  • Nutritive Value
  • Poaceae / chemistry
  • Silage / analysis
  • Zea mays / chemistry

Substances

  • Fatty Acids