Title (en)
Association between Milk Electrical Conductivity Biomarkers with Lameness in Dairy Cows
Language
English
Description (en)
Early identification of lameness at all phases of lactation improves milk yield and reduces the incidence of mastitis in the herd. According to the literature we hypothesized that there are associations of electrical conductivity variables of milk flow with lameness in dairy cows. The aim of this study was to determine if blood cortisol and electrical conductivity in the milk flow phases correlate with each other and whether they are related to cow lameness. On one farm, out of 1500 cows, 64 cows with signs of lameness and 56 healthy cows were selected with an average of 2.8 lactations and 60 days in the postpartum period. A local veterinarian who specializes in hoof care treatments identified and scored lameness. During evening milking, the milk flow of all 120 cows was measured using electronic milk flow meters (Lactocorder®, WMB AG, Balgache, Switzerland). Before each milking, two electronic mobile milk flow meters (Lactocorders) were mounted between the milking apparatus and the milking tube to take measurements. We found that the average cortisol concentration in the blood of the studied cows was significantly correlated with the laminitis score. Results of this study indicate that the number of non-lame cows with a milk electrical conductivity level of <6 mS/cm even reached 90.8-92.3% of animals. Milk electrical conductivity indicators ≥ 6 mS/cm were determined in 17.8-29.0% more animals in the group of lame cows compared to the group of non-lame cows. According to our study, we detected that blood cortisol concentration had the strongest positive correlation with milk electrical conductivity indicators. Cows with a greater lameness score had a higher cortisol content and milk conductivity.
Keywords (en)
Risk-Factors; Body Condition; Prevalence; Behavior; Indicators; Cortisol; Health; Impact; Cattle; Pain
DOI
10.3390/vetsci10010047
Author of the digital object
Algimantas Paulauskas  (Vytautas Magnus University)
Ramūnas Antanaitis  (Lithuanian University of Health Sciences)
Arūnas Rutkauskas  (Lithuanian University of Health Sciences)
Walter Baumgartner  (University of Veterinary Medicine, Vienna)
Evaldas Šlyžius  (Lithuanian University of Health Sciences)
Saulius Tušas  (Lithuanian University of Health Sciences)
Gediminas Urbonavičius  (Lithuanian University of Health Sciences)
Dovilė Bačėninaitė  (Lithuanian University of Health Science)
Vida Juozaitienė  (Vytautas Magnus University)
Karina Džermeikaitė  (Lithuanian University of Health Sciences)
Format
application/pdf
Size
465.8 kB
Licence Selected
CC BY 4.0 International
Type of publication
Article
Name of Publication (en)
Veterinary Sciences
Pages or Volume
10
Volume
10
Number
1
Publisher
MDPI
Publication Date
2023