Table 1.
Details of mouse monoclonal antibodies (mAb) used for flow cytometry.
Table 2.
Estimated intra-assay repeatability and inter-assay precision for cellular immune trait measurements.
Table 3.
Immune traits: descriptive statistics, estimates of variance due to the animal effect and proportion of the total phenotypic variance due to the animal effect (between animal repeatability estimates).
Table 4.
Lactation traits: descriptive statistics, estimates of variance due to the animal effect and proportion of the total phenotypic variance due to the animal effect (between animal repeatability estimates); data were weekly averaged daily records.
Table 5.
Reproductive performance traits: descriptive statistics.
Table 6.
Health event traits: descriptive statistics.
Figure 1.
Effect of genetic and diet group on serological immune traits.
Levels of natural antibodies (A), TNFα (B) and haptoglobin (C) in the serum of cows from control or select genetic groups and high concentrate (High Conc.) or low concentrate (Low Conc) diet groups. Data represents values recorded over the whole 8 month study period.
Figure 2.
Effect genetic group on cellular immune traits.
Differential leukocyte counts (A), CD4:CD8 ratios (B) and PBMC leukocyte subpopulations (C) in cows from either control (C) or select (S) genetic groups. Data represents values recorded over the whole 8 month study period.
Table 7.
Statistically significant (P<0.05) post Bonferroni correction phenotypic correlations among serological and cellular immune traits.
Table 8.
Statistically significant (P<0.05) post Bonferroni correction animal and phenotypic correlations between immune, health event, reproductive performance and lactation traits.