Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Evaluation of Biomarkers of Heat Stress by Using Automatic Health Monitoring System in Dairy Cows

Version 1 : Received: 22 August 2020 / Approved: 24 August 2020 / Online: 24 August 2020 (08:15:32 CEST)

How to cite: Antanaitis, R.; Juozaitienė, V.; Televičius, M.; Malašauskienė, D. Evaluation of Biomarkers of Heat Stress by Using Automatic Health Monitoring System in Dairy Cows. Preprints 2020, 2020080513 (doi: 10.20944/preprints202008.0513.v1). Antanaitis, R.; Juozaitienė, V.; Televičius, M.; Malašauskienė, D. Evaluation of Biomarkers of Heat Stress by Using Automatic Health Monitoring System in Dairy Cows. Preprints 2020, 2020080513 (doi: 10.20944/preprints202008.0513.v1).

Abstract

The objective of this study was to evaluate biomarkers of heat stress (HS) from automatic milking system (AMS), the relationships between measurements of temperature-humidity index (THI) and reticulorumen ph and temperature and some automatic milking systems parameters in dairy cows (rumination time (RT), milk traits, body weight (BW) and consumption of concentrate (CC)) during summer period. The experiment was carried out on a dairy farm at 54.9587408, 23.784146. Lithuanian Black and White dairy cows (n=365) were selected. The cows were milked with Lely Astronaut® A3 milking robots with free traffic. The rations were calculated to meet physiological requirements of the animals. Daily milk yield, rumination time, body weight, milk fat and protein ratio were collected from the Lely T4C management program for analysis. The pH and temperature of the contents of cow reticulorumen were measured using specific smaX-tec boluses manufactured for animal care. The daily humidity and air temperature in the farm zone were obtained from the adjacent weather station (2 km away). According this study during HS, the higher THI had positive correlation with ML, which show tendencies to increase risk of mastitis, and decrease CC, RT, BW, MY, reticulorumen ph and F/P. Some biomarkers of HS can be milk yield, milk lactose, somatic cell count, concentrate conception, rumination time, body weight, reticulorumen ph and milk fat – protein ratio. We can recommend to monitoring these parameters in the herd management program to identify possibility of heat stress.

Subject Areas

heat stress; cow; automatic milking system; temperature; milk

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