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In order to determine potential differences among the fatty-acid content in raw cow’s milk in terms of organic and conventional dairy farming, various approaches of chemometric tools were applied. Furthermore, reliable regression models for prediction of unsaturated and saturated fatty acids contents in milk based on milk fat content was used. During 12 months research (four seasons) were collected a total of 7.978 samples of raw milk. The results included dendrograms (as results of cluster analysis) and univariate linear models. The cluster analysis covered the annual saturated and unsaturated fatty acid content values. Linear models present the dependence between milk fat and saturated fatty acids content, and milk fat and unsaturated fatty acids content. For all established statistical models, adequate validation procedures were conducted as an important step in testing the performance of the obtained models. Established models can be applied for the purpose of prediction of saturated and unsaturated fatty acid on the basis of milk fat, which was confirmed by internal and external validation parameters (R in some models was higher than 0.90). Also, results of correlation between milk fat and fatty acids content provide very useful information for a breeding organizations and milk producers.

Chemometric guidelines for assessment of Fatty Acid Content in Cow Milk from different farming system