Lying Behaviour in Dairy Goats: Effects of a New Automated Feeding System Assessed by Accelerometer Technology

Welfare Assessment on Different-Sized Dairy Goat Farms in the Northern Serbian Province of Vojvodina

This research aimed for the first time to identify the essential welfare problems on 46 goat dairy farms in Vojvodina,based on the goat AWIN welfare protocol. The study showed that space allowance per goat was 1.55, 1.86 and 2.50 m2/goat (large, medium, small-sized farms, respectively). Most farms possessed the soil floor and straw as a flooring material. The small and medium farms more allowed access to the outdoor area. Contrary, large-sized farms mostly kept goats in fully housed systems with reduced opportunities for the goats to express their natural behavior. Management procedures were significantly different (p < 0.05) between the investigated farms. Differences were mainly in bedding, feeding and culling strategies. Low productivity was the main cause of culling in all farm types. Small-sized farms carried out more often disbudding (42.9%) in comparison with medium (21.4%) and large-sized ones (14.3%). Group level observation showed that the main areas of concern were associated with hair coat condition and kneeling at the feeding rack (p < 0.05). Inadequate BCS, udder asymmetry and claw overgrowth were frequently recorded. The prevalence of thin and fat goats was highest in large-sized farms All farm size categories and management systems showed certain welfare weaknesses. Thus, the findings highlighted the need for higher implementation of animal welfare principles and improvement of management techniques to meet the welfare requirements of dairy goats.

Development of a Parturition Detection System for Korean Native Black Goats

Korean Native Black Goats deliver mainly during the cold season. However, in winter, there is a high risk of stunted growth and mortality for their newborns. Therefore, we conducted this study to develop a KNBG parturition detection system that detects and provides managers with early notification of the signs of parturition. The KNBG parturition detection system consists of triaxial accelerometers, gateways, a server, and parturition detection alarm terminals. Then, two different data, the labor and non-labor data, were acquired and a Decision Tree algorithm was used to classify them. After classifying the labor and non-labor states, the sum of the labor status data was multiplied by the activity count value to enhance the classification accuracy. Finally, the Labor Pain Index (LPI) was derived. Based on the LPI, the optimal processing time window was determined to be 10 min, and the threshold value for labor classification was determined to be 14 240.92. The parturition detection rate was 82.4%, with 14 out of 17 parturitions successfully detected, and the average parturition detection time was 90.6 min before the actual parturition time of the first kid. The KNBG parturition detection system is expected to reduce the risk of stunted growth and mortality due to hypothermia in KNBG kids by detecting parturition 90.6 min before the parturition of the first kid, with a success rate of 82.4%, enabling parturition nursing.

Goat Kidding Dataset

The detection of kidding in production animals is of the utmost importance, given the frequency of problems associated with the process, and the fact that timely human help can be a safeguard for the well-being of the mother and kid. The continuous human monitoring of the process is expensive, given the uncertainty of when it will occur, so the establishment of an autonomous mechanism that does so would allow calling the human responsible who could intervene at the opportune moment. The present dataset consists of data from the sensorization of 16 pregnant and two non-pregnant Charnequeira goats, during a period of four weeks, the kidding period. The data include measurements from neck to floor height, measured by ultrasound and accelerometry data measured by an accelerometer existing at the monitoring collar. Data was continuously sampled throughout the experiment every 10 s. The goats were monitored both in the goat shelter (day and night) and during the grazing period in the pasture. The births of the animals were also registered, both in terms of the time at which they took place, but also with details regarding how they took place and the number of offspring, and notes were also added.