The aim of the study was to investigate whether rumination time (RT) was related to estrus in dairy cattle. On 4 farms, cows were equipped with a microphone-based sensor system that allowed continuous recording (in blocks of 2 h) of RT. The analyzed data set consisted of 265 verified estrus cycles of 224 animals with artificial insemination leading to conception. The day of estrus (d 0) was defined as the day when estrus was identified either by measurement of physical activity or by visual observation. In estrous cows, RT was significantly reduced. With a duration of 355 min/d, the minimum RT was found on the day of estrus compared with the base level of 429 min/d during the reference period (the mean of 3 d before and 3 d after estrus). The average decrease in RT was 17% (74 min), ranging between -71 and +16% among animals. Herd and parity affected the RT decrease during estrus. Among the 4 analyzed herds, the RT decrease of cows in estrus ranged between 14% (60 min/d) and 24% (94 min/d). The decrease in RT was more pronounced in primiparous than in mature cows. In conclusion, RT is reduced on the day of estrus on average. The RT decrease during estrus was characterized by high variation among cows.

No abstract

Efficient detection of estrus is a permanent challenge for successful reproductive performance in dairy cattle. In this context, comprehensive knowledge of estrus-related behaviors is fundamental to achieve optimal estrus detection rates. This review was designed to identify the characteristics of behavioral estrus as a necessary basis for developing strategies and technologies to improve the reproductive management on dairy farms. The focus is on secondary symptoms of estrus (mounting, activity, aggressive and agonistic behaviors) which seem more indicative than standing behavior. The consequences of management, housing conditions and cow- and environmental-related factors impacting expression and detection of estrus as well as their relative importance are described in order to increase efficiency and accuracy of estrus detection. As traditional estrus detection via visual observation is time-consuming and ineffective, there has been a considerable advancement of detection aids during the last 10 years. By now, a number of fully automated technologies including pressure sensing systems, activity meters, video cameras, recordings of vocalization as well as measurements of body temperature and milk progesterone concentration are available. These systems differ in many aspects regarding sustainability and efficiency as keys to their adoption for farm use. As being most practical for estrus detection a high priority - according to the current research - is given to the detection based on sensor-supported activity monitoring, especially accelerometer systems. Due to differences in individual intensity and duration of estrus multivariate analysis can support herd managers in determining the onset of estrus. Actually, there is increasing interest in investigating the potential of combining data of activity monitoring and information of several other methods, which may lead to the best results concerning sensitivity and specificity of detection. Future improvements will likely require more multivariate detection by data and systems already existing on farms.

The objectives of this study were to analyze whether dry matter intake (DMI), water intake (WI) and BW were influenced by estrus. A second objective was to determine whether correlations exist among these traits in non-estrous days. Data collection included 34 Holstein-Friesian cows from the research farm 'Haus Riswick' of the Agricultural Chamber North Rhine-Westphalia, Germany. On an individual basis, daily DMI and daily WI were measured automatically by a scale in the feeding trough and a WI monitoring system, respectively. BW was determined by a walk-through scale fitted with two gates -one in front and one behind the scale floor. Data were analyzed around cow's estrus with day 0 (the day of artificial insemination leading to conception). Means during the reference period, defined as days − 3 to − 1 and 1 to 3, were compared with the means during estrus (day 0). DMI, WI and BW were affected by estrus. Of all cows, 85.3% and 66.7% had reduced DMI and WI, respectively, on day 0 compared with the reference period. Lower BW was detected in 69.2% of all cows relative to the reference period. During the reference period, average DMI, WI and BW were 23.0, 86.6 and 654.8 kg. A minimum DMI of 20.4 kg and a minimum BW of 644.2 kg were detected on the day of estrus, whereas the minimum WI occurred on the day before estrus. After estrus, DMI, WI and BW returned to baseline values. Intake of concentrated feed did not seem to be influenced by estrus. Positive correlations existed between daily DMI and daily WI (r = 0.63) as well as between cows' daily BW and daily WI (r = 0.23). The results warrant further investigations to determine whether monitoring of DMI, WI and BW may assist in predicting estrus.