Publikationsdatenbank

Heat load-induced changes in lying behavior and lying cubicle occupancy of lactating dairy cows in a naturally ventilated barn (2021)

Art

Zeitschriftenartikel / wissenschaftlicher Beitrag

Autoren

Heinicke, Julia

Ott, Aline

Ammon, Christian

Amon, Thomas (WE 10)

Quelle

Annals of Animal Science

Bandzählung: 21

Heftzählung: 4

Seiten: 1543 – 1553

ISSN: 2300-8733

Sprache

Englisch

Verweise

URL (Volltext): https://www.sciendo.com/article/10.2478/aoas-2020-0113

DOI: 10.2478/aoas-2020-0113

Kontakt

Institut für Tier- und Umwelthygiene

Robert-von-Ostertag-Str. 7-13
14169 Berlin
+49 30 838 51845
tierhygiene@vetmed.fu-berlin.de

Abstract / Zusammenfassung

Dairy cows show a high sensitivity to changes in barn climate, which can result in physiological and ethological responses because of the homeostatic mechanisms to regulate the body temperature under heat load. The objective of this study was to analyze the lying behavior and occupancy of lying cubicles of lactating high-yielding Holstein-Friesian cows throughout the day during three summer months and three winter months. The study was conducted in summer 2016 and in winter 2016/17 in a naturally ventilated barn in Brandenburg, Germany. The determined temperaturehumidity index (THI) of the barn was calculated using the measured ambient temperature and relative humidity at eight locations inside the barn. The THI was used to define the heat load the cows were exposed to. The activity of the cows was measured with accelerometers, and a video recording was made to analyze the occupancy of the three rows of lying cubicles. The results indicated that increasing heat load led to a decrease in lying time; therefore, the daily lying time differed between summer and winter months. In addition, there were different patterns of lying behavior during the course of the day, depending on the season. A sharp decline in lying time could be observed especially in the afternoon hours during the summer. The occupancy of lying cubicles was also influenced by the heat load. The data could be helpful to enable evaluation with algorithms for early detection of heat load.