Analysis of the association between antibodies against bovine leukemia virus (BLV), BLV
proviral load, and white blood cell (WBC) and lymphocyte counts was performed with 774
dairy cows. The average age, WBC counts and lymphoid cell counts tended to be higher in
BLV antibody-positive cows than in antibody-negative cows. There was a similar trend in
levels of proviral DNA. We analyzed age, WBC counts and lymphocyte counts by principal
component analyses to create a distribution chart of the principle component scores. Using
the chart, we categorized cows into four quadrants based on additional information, such
as the presence of antibody and the levels of proviral DNA. Antibody-positive cows and
cows with high BLV proviral load were found mostly in one quadrant of the chart,
indicating that it is possible to predict the risk of infection without any knowledge on
antibody status by using information, such as WBC counts as a biomarker. When only
antibody-positive cows were included in the analysis, a characteristic distribution of
different levels of proviral DNA was seen in the quadrants, suggesting that it is possible
to estimate the extent of bovine leukosis infection by using this analysis. For this
analysis and categorization of the cows into quadrants, we computed a mathematical
formulation using discriminant analysis based on age and WBC and lymphocyte counts. This
mathematical formulation for the hematological preliminary diagnosis of the disease is
recommended as a screening tool to monitor bovine leukosis.