Subclinical hypocalcaemia follows specific time-related and severity patterns in post-partum Holstein cows

Identification of temporal patterns of environmental heat stress of Holstein dairy heifers raised in Mediterranean climate during their in-utero and post-natal life periods and modelling their effects on age at first calving

“…One of the main advantages of cluster analysis is that it is performed on raw data without any a priori knowledge of cluster characteristics [37]. Recently it has been applied in disease description [39][40][41]. One drawback of this method is the instability of the cluster membership (here the allocation of the subjects in different clusters every time the algorithm is executed).…”

Relationship between calcium dynamics and inflammatory status in the transition period of dairy cows

“…More studies are necessary using a greater population of cows and herds, and different management systems and geographical distribution to validate those findings. For instance, Tsiamadis et al (2021) , using a cluster-based statistical analysis, suggested that a subclassification into 7 different Ca patterns based on serum Ca concentration collected at 1, 2, 4, and 8 DIM after calving could better explain disease risk across cow parities. Different SCH patterns are conceivable and it is evident that biological variability across cows within a herd and between herds occur; however, there is now more consistent evidence that the degree and duration that cows stay under suboptimal plasma Ca concentrations can help discern a successful from a potentially pathological endocrine adaptation to lactation.…”