Examination of Milk Samples, obtained from the Different Cattle breeds in the First Lactation, by Means of Discriminant Analysis

By means of discriminant analysis, it can be identified which class the individuals (data) desired to classified. In this study, was aimed identify that milk samples belong breed, applying analysis taken from cattle breeds (19 heads Jersey, 53 Holstein and 27 Charolaise) in first lactation. As a conclusion proper classification actualized rate, considered quite high like 90.6%, according components (fat, protein, lactose, density, pH conductivity) Cattles. This rate as 63.2% Jersey 25.9% Charolaise. It general non-linear used discriminating Holstein, Charolaise their components, 67.7%.