Cows that are less active in the chute have more optimal grazing distribution.

Individual grazing patterns among cattle can contribute to sustainability of land use, however, little is known about the consistency of these grazing patterns. To address this knowledge gap, fifty Angus x Hereford cows were observed in repeated assays: A management assay (handling procedure, narrow chute, hydraulic squeeze), a social-feed trade-off assay (SFTA; choice between social mates and feed item), and novel approach assay (choice between social mates and feed item with novel pattern). The same cattle were tracked with GPS collars over two grazing seasons (June-August 2021 and 2022) and average grazing-related metrics (e.

Judgement bias of group housed gestating sows predicted by behavioral traits, but not physical measures of welfare.

Judgement bias testing has emerged as a potential tool for assessing affective states in animals. Researchers infer an animal's affective state based on an animal's response to an ambiguous stimulus that is intermediate to both the rewarded and punished conditioned stimuli. Animals can be classified as "optimistic" or having a positive affective state if the animal displays behaviors that suggest an increased expectation of reward in the face of ambiguous stimuli.

Livestock Informatics Toolkit: A Case Study in Visually Characterizing Complex Behavioral Patterns across Multiple Sensor Platforms, Using Novel Unsupervised Machine Learning and Information Theoretic Approaches.

Large and densely sampled sensor datasets can contain a range of complex stochastic structures that are difficult to accommodate in conventional linear models. This can confound attempts to build a more complete picture of an animal's behavior by aggregating information across multiple asynchronous sensor platforms. The Livestock Informatics Toolkit (LIT) has been developed in R to better facilitate knowledge discovery of complex behavioral patterns across Precision Livestock Farming (PLF) data streams using novel unsupervised machine learning and information theoretic approaches.

Researching Human-Cattle Interaction on Rangelands: Challenges and Potential Solutions.

Human-animal interaction (HAI) research spans across many scientific fields and animal taxa. For livestock species, HAI research tends to focus on animals that are managed in close proximity with humans such as poultry, dairy cattle, and swine. Given the nature of rangeland cattle production, HAI research with beef cattle often occurs in and around the processing environment.

Diurnal and nocturnal activity budgets of zoo elephants in an outdoor facility.

The present study examined the activity budgets of 15 African elephants (1 bull, 6 cows, 2 male juveniles, 2 female juveniles, and 4 male calves) living at the San Diego Zoo Safari Park during the summers of 2010 and 2011. Onsite behavioral data (n = 600 hr) were collected for approximately 12 weeks from 0400 to 0830 and 1100 to 2400 during the 2010 and 2011 summer season. Foraging was the most common behavior state during the day followed by resting, and walking.