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Systematic Clinical Examinations for Identification of Latent Udder Health Types in Danish Dairy Herds

¹ Danish Institute of Agricultural Sciences, Department of Animal Health and Welfare, DK-8830 Tjele, Denmark
² The Royal Veterinary and Agricultural University, Department of Clinical Studies, Large Animal Medicine, 1870 Frederiksberg C, Denmark
³ The Royal Veterinary and Agricultural University, Department of Animal Science and Animal Health, 1870 Frederiksberg C, Denmark

Corresponding author: I. C. Klaas; E-mail: ilka.klaas{at}agrsci.dk.

A cross-sectional study was conducted to explore the applicability of systematic clinical examinations of udders as an additional tool for the evaluation of udder health status on dairy farms. During 2000, each of the 16 dairy farms was visited 5 times; 20 cows per farm were chosen at random at each visit for clinical udder examination immediately after milking. The clinical examination included both pathological and morphological variables. One examination per cow was included in the analysis (n = 707 cows). Principal component analysis (PCA) was performed in 3 steps. First, 19 variables characterizing udder and teats were analyzed (PCA 1). Second, the variables parity and stage of lactation were included (PCA 2). Finally, somatic cell count (SCC) and milk yield (PCA 3) were included. The PCA resulted in 4 components that explained 30% of the variation of the data: 1) small udder, 2) distressed udder, 3) mastitis udder, and 4) soiled udder. Variables with high positive correlation to the "small udder" were small udder shape, short teats, and first parity. Impaired teat surface, hard udder texture, and a long udder shape were related to the "distressed udder." The "mastitis udder" was characterized by the clinical variables asymmetry between front quarters, asymmetry between hind quarters, knotty tissue, and acute clinical mastitis. Reduced milk yield and high SCC were related to the "mastitis udder," whereas low SCC was related to the "small udder." The "soiled udder" was related to early lactation. Including this information in the assessment of udder health may be of substantial value for data analysis in farms with suspected under-reporting of clinical mastitis.

Key Words: udder health • principal component analysis • clinical investigation • udder characteristics

Abbreviation key: ECM = energy-corrected milk, MLOGSCC = mean of log-transformed SCC, MRESMILK = mean residual of observed-expected milk yield, PCA = principal component analysis

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