Formation of homogeneous groups of bovine milk production units via multivariate statistical techniques

Abstract

Milk supply chain in Brazil exhibits significant production system heterogeneity in all federal units. Thus, the objective of this study was to form homogeneous groups of bovine milk production units based on the chemical and microbiological quality of the milk via multivariate statistical techniques. A total of 1,541 milk producing units (MPUs), corresponding to 44,089 samples, were analyzed. The first three principal components accounted for 81.38% of the total variation in the data. Principal component 1 (PC1) was associated with the chemical quality of milk (fat, protein [PROT] and total dry extract [TDE] content), while PC2 and PC3 were associated with microbiological quality (somatic cell count [SCC] and total bacterial count [TBC]). The concurrent analysis of the two two-dimensional projections characterized the different productive strata by their quality attributes and identified the positive/negative points of milk microbiological characteristics in each production group. Thus, the dimensionality of the set of 1,541 MPUs was reduced to 15 homogeneous production groups. This method optimizes the use of the dairy industry monthly database and characterizes all the heterogeneities present in dairy production systems.