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Biomarkers from automatic milking system as an indicator of subclinical acidosis and subclinical ketosis in fresh dairy cows.
Pol J Vet Sci. 2019 Dec; 22(4):685-693.PJ

Abstract

The objective of this study was to determine the association between subclinical acidosis (SARA) and subclinical ketosis (SCK) with biomarkers from an automatic milking system (AMS) measuring in relation to rumination time (RT), milk yield (MY), bodyweight (BW), milk temperature, the milk fat-to-protein ratio, and the electrical conductivity of milk at the udder quarters-level which can be read in fresh dairy cows. During the course of the study, all of the fresh dairy cows (n=711) were examined according to a general clinical investigation plan. The cows were selected for 1-30 days of milk (DIM) and were milked using Lely Astronaut® A3 milking robots with free traffic. Rumination time shows a statistically significant positive correlation with milk yield (milk temperature) and is negatively correlated with the fat and protein ratio. Healthy cows demonstrated the highest level of rumination time and the lowest milk temperature. The average BW for these cows was 1.64% lower than for the SARA group and the BW kg was 2.10% higher than SCK cows. MY was 14.01% lower in comparison with SARA and 6.42% higher in comparison with SCK. According to these results, some biomarkers from the AMS have an association with SARA and SCK. However, further research with a higher number of cows is needed to confirm this conclusion.

Authors+Show Affiliations

Large Animal Clinic, Veterinary Academy, Lithuanian University of Health Sciences, Tilžės str. 18, Kaunas, Lithuania.Department of Animal Breeding, Veterinary Academy, Lithuanian University of Health Sciences, Tilžės str. 18, Kaunas, Lithuania.Large Animal Clinic, Veterinary Academy, Lithuanian University of Health Sciences, Tilžės str. 18, Kaunas, Lithuania.Large Animal Clinic, Veterinary Academy, Lithuanian University of Health Sciences, Tilžės str. 18, Kaunas, Lithuania.Large Animal Clinic, Veterinary Academy, Lithuanian University of Health Sciences, Tilžės str. 18, Kaunas, Lithuania.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

31867921

Citation

Antanaitis, R, et al. "Biomarkers From Automatic Milking System as an Indicator of Subclinical Acidosis and Subclinical Ketosis in Fresh Dairy Cows." Polish Journal of Veterinary Sciences, vol. 22, no. 4, 2019, pp. 685-693.
Antanaitis R, Juozaitienė V, Malašauskienė D, et al. Biomarkers from automatic milking system as an indicator of subclinical acidosis and subclinical ketosis in fresh dairy cows. Pol J Vet Sci. 2019;22(4):685-693.
Antanaitis, R., Juozaitienė, V., Malašauskienė, D., Televičius, M., & Urbutis, M. (2019). Biomarkers from automatic milking system as an indicator of subclinical acidosis and subclinical ketosis in fresh dairy cows. Polish Journal of Veterinary Sciences, 22(4), 685-693. https://doi.org/10.24425/pjvs.2019.129981
Antanaitis R, et al. Biomarkers From Automatic Milking System as an Indicator of Subclinical Acidosis and Subclinical Ketosis in Fresh Dairy Cows. Pol J Vet Sci. 2019;22(4):685-693. PubMed PMID: 31867921.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Biomarkers from automatic milking system as an indicator of subclinical acidosis and subclinical ketosis in fresh dairy cows. AU - Antanaitis,R, AU - Juozaitienė,V, AU - Malašauskienė,D, AU - Televičius,M, AU - Urbutis,M, PY - 2019/12/24/entrez KW - after calving KW - body weight KW - diseases KW - milk yield KW - rumination time SP - 685 EP - 693 JF - Polish journal of veterinary sciences JO - Pol J Vet Sci VL - 22 IS - 4 N2 - The objective of this study was to determine the association between subclinical acidosis (SARA) and subclinical ketosis (SCK) with biomarkers from an automatic milking system (AMS) measuring in relation to rumination time (RT), milk yield (MY), bodyweight (BW), milk temperature, the milk fat-to-protein ratio, and the electrical conductivity of milk at the udder quarters-level which can be read in fresh dairy cows. During the course of the study, all of the fresh dairy cows (n=711) were examined according to a general clinical investigation plan. The cows were selected for 1-30 days of milk (DIM) and were milked using Lely Astronaut® A3 milking robots with free traffic. Rumination time shows a statistically significant positive correlation with milk yield (milk temperature) and is negatively correlated with the fat and protein ratio. Healthy cows demonstrated the highest level of rumination time and the lowest milk temperature. The average BW for these cows was 1.64% lower than for the SARA group and the BW kg was 2.10% higher than SCK cows. MY was 14.01% lower in comparison with SARA and 6.42% higher in comparison with SCK. According to these results, some biomarkers from the AMS have an association with SARA and SCK. However, further research with a higher number of cows is needed to confirm this conclusion. SN - 2300-2557 UR - https://www.unboundmedicine.com/medline/citation/31867921/Biomarkers_from_automatic_milking_system_as_an_indicator_of_subclinical_acidosis_and_subclinical_ketosis_in_fresh_dairy_cows DB - PRIME DP - Unbound Medicine ER -
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