| Records |
| Author |
Leliveld, L.M.C. |
| Title |
From Science to Practice: A Review of Laterality Research on Ungulate Livestock |
Type |
Journal Article |
Year  |
2019 |
Publication |
Symmetry |
Abbreviated Journal |
Symmetry |
| Volume |
11 |
Issue |
9 |
Pages |
1157 |
| Keywords |
hemispheric asymmetries; farm animals; emotional processing; animal cognition; development; human-animal interactions; animal welfare |
| Abstract |
In functional laterality research, most ungulate livestock species have until recently been mainly overlooked. However, there are many scientific and practical benefits of studying laterality in ungulate livestock. As social, precocial and domestic species, they may offer insight into the mechanisms involved in the ontogeny and phylogeny of functional laterality and help to better understand the role of laterality in animal welfare. Until now, most studies on ungulate livestock have focused on motor laterality, but interest in other lateralized functions, e.g., cognition and emotions, is growing. Increasingly more studies are also focused on associations with age, sex, personality, health, stress, production and performance. Although the full potential of research on laterality in ungulate livestock is not yet exploited, findings have already shed new light on central issues in cognitive and emotional processing and laid the basis for potentially useful applications in future practice, e.g., stress reduction during human-animal interactions and improved assessments of health, production and welfare. Future research would benefit from further integration of basic laterality methodology (e.g., testing for individual preferences) and applied ethological approaches (e.g., established emotionality tests), which would not only improve our understanding of functional laterality but also benefit the assessment of animal welfare. |
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no |
| Call Number |
Equine Behaviour @ team @ |
Serial |
6588 |
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| Author |
Cerasoli, F.; Podaliri Vulpiani, M.; Saluti, G.; Conte, A.; Ricci, M.; Savini, G.; D'Alterio, N. |
| Title |
Assessment of Welfare in Groups of Horses with Different Management, Environments and Activities by Measuring Cortisol in Horsehair, Using Liquid Chromatography Coupled to Hybrid Orbitrap High-Resolution Mass Spectrometry |
Type |
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| Year |
2022 |
Publication |
Animals |
Abbreviated Journal |
Animals |
| Volume |
12 |
Issue |
14 |
Pages |
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| Keywords |
cortisol; animal welfare; horse; Lc-Hrms/Ms |
| Abstract |
Horses have always been animals used for companionship, work, transportation, and performance purposes over the history of humanity; there are different ways of managing horses, but studies on how horse welfare is influenced by different activities and managements are scanty. Understanding how the management, the environment, and the different uses of horses can affect the level of stress and well-being is important not only for people associated with horses. Three groups of horses with different management, environments, and activities were selected: (1) stabled horses ridden frequently, (2) horses that perform public order service under the Italian state police, and (3) free-ranging horses. Cortisol analysis was carried out on horsehair samples using liquid chromatography coupled to hybrid orbitrap high-resolution mass spectrometry (LC-HRMS/MS), a laboratory technique used for the first time to quantify horsehair cortisol. The selection of horses to be included in the three groups was carried out by including only subjects with positive welfare assessment in accordance with the horse welfare assessment protocol (AWIN). These analyses demonstrated that the cortisol levels detected in the horsehair of free-ranging animals were significantly higher compared to those detected in stabled and working horses. These results may have been a consequence of complex environmental, managerial, and behavioral factors, which should be worth further investigation |
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Abbreviated Series Title |
Animals |
| Series Volume |
12 |
Series Issue |
14 |
Edition |
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| ISSN |
2076-2615 |
ISBN |
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no |
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Equine Behaviour @ team @ |
Serial |
6674 |
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