Figure 7

Multivariate analysis based on analysis of similarities (ANOSIM) and cluster representation by non-metric multidimensional classification (nMDS). A The erythogram shows significant differences between sampling points indicating a low level of dissimilarity (ANOSIM Rglobal= 0.2212; p = 0.0001) in CP1 and CP3, with respect to CP2. The farms show no significant differences (ANOSIM Rglobal= 0.03417; p = 0.0141), indicating that the degree of similarity and variability between and within farms is high. B The leukogram shows significant differences between sampling points indicating a low level of dissimilarity (ANOSIM Rglobal= 0.2858; p = 0.0001) in CP1 and CP3, with respect to CP2. The farms show no significant differences (ANOSIM Rglobal= 0.0041; p = 0.2733), indicating that the degree of similarity and variability between and within farms is high. C The serum enzyme profile shows significant differences between control points, indicating a low level of dissimilarity (ANOSIM Rglobal= 0.056; p = 0.0016), between CP1 and CP3, compared to CP2. The farms show no significant differences (ANOSIM Rglobal= 0.0078; p = 0.189), indicating that the degree of similarity and variability between and within farms is high. D The serum substrate profile shows significant differences between checkpoints indicating a low level of dissimilarity (ANOSIM Rglobal= 0.382; p = 0.0001), between CP1 and CP3, compared to CP2. The farms show no significant differences (ANOSIM Rglobal= 0.022; p = 0.047) indicating a high degree of similarity and high variability between and within farms.