Research topics
- Biology
- Artificial Intelligence
- Ecology
- Machine Learning
- Geography
- Computer Science
- Mathematics
- Engineering
- Agroforestry
- Animal science
- Developmental psychology
- Statistics
- Psychology
- Cognitive psychology
- Social psychology
- Communication
- Structural engineering
Selected publications
Effects of rearing with vertical structures on the ontogeny of depth perception in laying hens
Applied Animal Behaviour Science · 2023 · 5 citations
Senior authorCorresponding- Biology
- Animal science
- Engineering
Multi-tiered aviary systems provide laying hens with opportunities for species-specific behaviors, including vertical and horizontal movement. However, collisions and failed landings that occur during vertical movement can be associated with injuries. Previous studies suggest that floor rearing of pullets with minimal access to elevated structures may negatively impact adult laying hens’ ability to navigate vertical space. However, it is not clear whether this is due to deficits in physical ability or differences in depth perception. This was investigated in pullets and egg-laying hens using a modified Y-maze task and a visual cliff task at 7–8, 15–16, and 29–30 weeks of age. Dekalb White pullets (N = 450) were reared in three different environments until 16 weeks of age: floor, single-tier aviary, and two-tier aviary. From 16 weeks of age, all birds were housed in a multi-tier aviary. The Y-maze task consisted of two arms that were either a ratio of 1:3 or 1:1 in length. Each bird’s ability to discriminate the different arm lengths was evaluated based on latency to exit and arm choice. The illusion of depth over a plexiglass floor was tested in the visual cliff task at 15, 30, and 90 cm. Birds were given 1.5 min to either leave the start perch by jumping to a platform suspended over the visual cliff, or step down off the perch to the shallow side. Latency to jump to the platform and frequency of looking down over the visual cliff were recorded. There were no main effects of age or rearing treatment on behavior in the Y-maze, with all birds choosing the shorter arm more than chance (p < 0.001). Regardless of cliff height, birds reared on the floor were less likely to cross the visual cliff at 8 and 16 weeks of age than single and two-tier treatment birds (p = 0.01). However, these differences were not observed after they were given experience with elevated structures in the adult aviary. The results of the present study suggest that the lack of exposure to vertical complexity during rearing do not cause long-term detriments to depth perception, but could impact successful engagement with elevated heights (i.e., hesitancy to access vertical structures). Further research is needed to determine the timing, quality, and quantity of elevated height exposure that is needed in the rearing environment to encourage sufficient use of vertical space in the adult aviary for cage-free laying hens.
PLoS ONE · 2022 · 11 citations
1st authorCorresponding- Psychology
- Social psychology
- Developmental psychology
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. Alternatively, animals can be classified "pessimistic" or having a negative affective state if the animal displays behaviors that suggest an increased expectation of punishment in the face of ambiguous stimuli. Recent reports in multiple species question what factors influence performance in judgement bias testing, and which may allow for erroneous conclusions regarding individual affective state. In order to better understand this concern, 25 female swine were subjected to behavioral assessments at critical rearing stages to determine response variability. These same individuals were then assessed for physical measures of welfare and judgement bias using the "go/no-go" task as breeding adults. Sows which were more aggressive approached the ambiguous, but not the positive, stimulus significantly faster than others. Both optimistic and pessimistic biases were observed despite all sows living in enriched housing, and, sows with more positive physical welfare measures (fewer skin lesions and healthy body condition) did not exhibit more optimistic judgement biases. Our data demonstrate that behavior traits, such as aggressiveness, can affect a sow's performance in a judgement bias test, while measures of physical health did not. We suggest that individual differences in behavior (e.g., bold-aggressive behavioral syndrome, or, proactive coping style) generate different emotional responses and can contribute to the animal's overall affective state more so than physical ailment. Our findings highlight the complexity of how different factors impact an animal's overall affective state and support the need for complementary measures in future JBT studies, including personality assessment.
Researching Human-Cattle Interaction on Rangelands: Challenges and Potential Solutions
Animals · 2021 · 15 citations
Senior authorCorresponding- Agroforestry
- Biology
- Geography
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. This high arousal context may skew behavioral and physiological responses by the animals due to the potentially negative interaction. The aim of this review is to describe cattle production on rangelands, examine the considerations and limitations of current HAI research used to evaluate interaction quality or traits of rangeland cattle, identify contexts in which rangeland cattle interact with humans, and provide recommendations for improving future HAI research with rangeland cattle. Current research delineating individual differences in response to humans by beef cattle occur during routine husbandry and management on rangelands (pragmatic) and in a research context (experimental). Human-cattle interactions can be distinguished based on the quality and goal of the interaction into four broad categories: human presence, human approach, human contact, and restraint. Limitations of HAI research with rangeland cattle are identified and reconciled by recommendations for HAI research that can take place outside of the processing environment (i.e., while cattle are ruminating, resting or grazing on rangelands).
Frontiers in Veterinary Science · 2020 · 16 citations
Senior authorCorresponding- Computer Science
- Artificial Intelligence
- Computer Science
= 0.91), suggesting a surprising degree of temporal stationarity. Data Mechanics visualizations, however, revealed heterogeneous non-stationary among subgroups of animals in the center of the group and herd-level temporal outliers. A repeated measures model recovered inconsistent evidence of a relationships between entry position and cow attributes. Mutual conditional entropy tests, a permutation-based approach to assessing bivariate correlations robust to non-independence, confirmed a significant but non-linear association with peak milk yield, but revealed the age effect to be potentially confounded by health status. Finally, queueing records were related back to behaviors recorded via ear tag accelerometers using linear models and mutual conditional entropy tests. Both approaches recovered consistent evidence of differences in home pen behaviors across subsections of the queue.
Frequent coauthors
- 9 shared
Thomas D. Parsons
University of Pennsylvania
- 8 shared
Allison N. Pullin
North Carolina State University
- 8 shared
Claire T. Jones
Animal Welfare Institute
- 8 shared
Maja M. Makagon
Animal Welfare Institute
- 6 shared
Lance J. Miller
Chicago Zoological Society
- 6 shared
Maggie Creamer
University of California, Davis
- 5 shared
Catherine McVey
University of California, Davis
- 5 shared
Kaleiah Schiller
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