Analyze Diet
Animals : an open access journal from MDPI2024; 14(24); 3677; doi: 10.3390/ani14243677

Anticipatory Behaviour During the Approach to Feeding Times as a Measure of Horse Welfare.

Abstract: Anticipatory behaviour is increasingly being recognised as a measure of animal welfare. This behaviour is linked to reward sensitivity, which reflects the balance of positive and negative experiences. This study examined anticipatory behaviour in horses fed either ad libitum or rationed diets, aiming to identify differences in behaviour patterns during the periods of one hour immediately before and after feeding. Behavioural data were collected via video surveillance over five days, focusing on the pre- and post-feeding periods of stabled horses. The data were successfully fit to Poisson models. The results indicate that ration-fed horses exhibit more stereotypic and arousal behaviours, with anticipatory behaviour intensifying closer to feeding times. These findings suggest a potential link between feeding stress and anticipatory behaviour, especially in horses on rationed diets. This study underscores the importance of considering feeding practices in horse welfare management and highlights anticipatory behaviour as a valuable indicator for assessing animal well-being. Such assessments, rooted in circadian rhythms, offer a less resource-intensive means for ongoing welfare monitoring in animal care settings.
Publication Date: 2024-12-20 PubMed ID: 39765580PubMed Central: PMC11672559DOI: 10.3390/ani14243677Google Scholar: Lookup
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
  • Journal Article

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

The research article is a study on horse behavior that uses anticipatory actions before feeding times to determine the animal’s well-being. The research suggests that diet limitations can increase stress in horses and that this can be measured by an increase in certain behaviors as feeding times approach.

Introduction

  • The research focuses on anticipatory behavior in horses, which is increasingly viewed as an important indicator of animal welfare. Anticipatory behavior is associated with reward sensitivity – the ability to anticipate pleasurable experiences, such as feeding. This balance between positive and negative experiences can provide insight into the animal’s overall quality of life.
  • The aim of this study was to observe and analyze differences in horses’ behavior prior to feeding times depending on whether the horses are fed on an ad libitum (as much as they want) or rationed feeding schedule.

Methodology

  • The researchers recorded behavioral data through video surveillance over a period of five days. The focus was specifically on the one hour period before and after each feeding of stabled horses.
  • The data collected was then interpreted using Poisson models, which provided a statistical view of the relationships between feeding schedule, anticipatory behavior, and overall animal welfare.

Findings

  • The study found that horses fed on a rationed diet showed more stereotypic and arousal behaviors. They also demonstrated a more intense anticipatory behavior as feeding times approached. Stereotypic behaviors are repetitive, invariant sequence of movements without obvious goal or function, which is often used as an indicator of stress in animals.
  • These findings suggest a correlation between feeding-related stress and anticipatory behavior, particularly in horses fed a restricted diet. It shows that if horses recognize that they will only be fed limited amounts, this knowledge can lead to increased stress as the feeding time approaches.

Significance

  • This research highlights the importance of carefully considering feeding practices when managing horse welfare. The results underscore that limited feeding can be a source of stress and can negatively impact animal welfare.
  • The use of anticipatory behavior as an indicator of animal welfare is also emphasized in the study, suggesting that observing such behaviors could provide a more accessible and less resource-intensive way to monitor animal welfare routinely in animal care settings.

Cite This Article

APA
Mata F, Boyton G, Young T. (2024). Anticipatory Behaviour During the Approach to Feeding Times as a Measure of Horse Welfare. Animals (Basel), 14(24), 3677. https://doi.org/10.3390/ani14243677

Publication

ISSN: 2076-2615
NlmUniqueID: 101635614
Country: Switzerland
Language: English
Volume: 14
Issue: 24
PII: 3677

Researcher Affiliations

Mata, Fernando
  • Centre for Research and Development in Agrifood Systems and Sustainability, Instituto Politécnico de Viana do Castelo, Rua da Escola Industrial e Comercial Nun'Alvares 34, 4900-347 Viana do Castelo, Portugal.
Boyton, Georgina
  • School of Life Science, Wrexham Glyndŵr University Northope Campus, Holywell Road, Northop, Mold CH7 6AA, UK.
Young, Tamsin
  • School of Life Science, Wrexham Glyndŵr University Northope Campus, Holywell Road, Northop, Mold CH7 6AA, UK.

Conflict of Interest Statement

The authors declare no conflicts of interest.

References

This article includes 40 references
  1. Paul ES, Browne W, Mendl MT, Caplen G, Trevarthen A, Held S, Nicol CJ. Assessing Animal Welfare: A Triangulation of Preference, Judgement Bias and Other Candidate Welfare Indicators.. Anim. Behav. 2022;186:151–177.
  2. Baciadonna L, McElligott AG. The Use of Judgement Bias to Assess Welfare in Farm Livestock.. Anim. Welf. 2015;24:81–91.
    doi: 10.7120/09627286.24.1.081google scholar: lookup
  3. Podturkin AA, Krebs BL, Watters JV. A Quantitative Approach for Using Anticipatory Behavior as a Graded Welfare Assessment.. J. Appl. Anim. Welf. Sci. 2023;26:463–477.
    doi: 10.1080/10888705.2021.2012783pubmed: 35000521google scholar: lookup
  4. Anderson C, Von Keyserlingk MAG, Lidfors LM, Weary DM. Anticipatory Behaviour in Animals: A Critical Review.. Anim. Welf. 2020;29:231–238.
    doi: 10.7120/09627286.29.3.231google scholar: lookup
  5. Roelofs S, Boleij H, Nordquist RE, Van der Staay FJ. Making Decisions under Ambiguity: Judgment Bias Tasks for Assessing Emotional State in Animals.. Front. Behav. Neurosci. 2016;10:119.
    doi: 10.3389/fnbeh.2016.00119pmc: PMC4899464pubmed: 27375454google scholar: lookup
  6. Ratuski AS, Makowska IJ, Dvorack KR, Weary DM. Using Approach Latency and Anticipatory Behaviour to Assess Whether Voluntary Playpen Access Is Rewarding to Laboratory Mice.. Sci. Rep. 2021;11:18683.
    doi: 10.1038/s41598-021-98356-3pmc: PMC8455539pubmed: 34548608google scholar: lookup
  7. Watters JV. Searching for Behavioral Indicators of Welfare in Zoos: Uncovering Anticipatory Behavior.. Zoo. Biol. 2014;33:251–256.
    doi: 10.1002/zoo.21144pubmed: 25042907google scholar: lookup
  8. McLean AN, Christensen JW. The Application of Learning Theory in Horse Training.. Appl. Anim. Behav. Sci. 2017;190:18–27.
  9. Stomp M, Leroux M, Cellier M, Henry S, Lemasson A, Hausberger M. An Unexpected Acoustic Indicator of Positive Emotions in Horses.. PLoS ONE. 2018;13:e0197898.
  10. Van Weyenberg S, Sales J, Janssens GPJ. Passage Rate of Digesta through the Equine Gastrointestinal Tract: A Review.. Livest. Sci. 2006;99:3–12.
  11. Ellis AD, Fell M, Luck K, Gill L, Owen H, Briars H, Barfoot C, Harris P. Effect of Forage Presentation on Feed Intake Behaviour in Stabled Horses.. Appl. Anim. Behav. Sci. 2015;165:88–94.
  12. Geor RJ. Nutrition and Exercise in the Management of Horses and Ponies at High Risk for Laminitis.. J. Equine Vet. Sci. 2010;30:463–470.
  13. Clarke LL, Roberts MC, Argenzio RA. Feeding and Digestive Problems in Horses: Physiologic Responses to a Concentrated Meal.. Vet. Clin. North Am. Equine Pract. 1990;6:433–450.
    doi: 10.1016/S0749-0739(17)30550-3pubmed: 2202501google scholar: lookup
  14. Auer U, Kelemen Z, Engl V, Jenner F. Activity Time Budgets—A Potential Tool to Monitor Equine Welfare?. Animals. 2021;11:850.
    doi: 10.3390/ani11030850pmc: PMC8002676pubmed: 33802908google scholar: lookup
  15. Chung ELT, Khairuddin NH, Azizan TRPT, Adamu L. Sleeping Patterns of Horses in Selected Local Horse Stables in Malaysia.. J. Vet. Behav. 2018;26:1–4.
  16. Roberts K, Hemmings AJ, McBride SD, Parker MO. Causal Factors of Oral versus Locomotor Stereotypy in the Horse.. J. Vet. Behav. 2017;20:37–43.
  17. Ruet A, Lemarchand J, Parias C, Mach N, Moisan M-P, Foury A, Briant C, Lansade L. Housing Horses in Individual Boxes Is a Challenge with Regard to Welfare.. Animals. 2019;9:621.
    doi: 10.3390/ani9090621pmc: PMC6770668pubmed: 31466327google scholar: lookup
  18. Seabra JC, Dittrich JR, Vale MM do. Factors Associated With the Development and Prevalence of Abnormal Behaviors in Horses: Systematic Review With Meta-Analysis.. J. Equine Vet. Sci. 2021;106:103750.
    doi: 10.1016/j.jevs.2021.103750pubmed: 34670688google scholar: lookup
  19. Peters SM, Bleijenberg EH, van Dierendonck MC, van der Harst JE, Spruijt BM. Characterization of Anticipatory Behaviour in Domesticated Horses (Equus Caballus). Appl. Anim. Behav. Sci. 2012;138:60–69.
  20. Thompson K, Clarkson L. How Owners Determine If the Social and Behavioral Needs of Their Horses Are Being Met: Findings from an Australian Online Survey.. J. Vet. Behav. 2019;29:128–133.
  21. Mata F. A Framework for Using Epidemiology in Animal Welfare Science.. J. Appl. Anim. Welf. Sci. 2023;26:361–373.
    doi: 10.1080/10888705.2021.1981902pubmed: 34606732google scholar: lookup
  22. Cooper JJ, Mcall N, Johnson S, Davidson HPB. The Short-Term Effects of Increasing Meal Frequency on Stereotypic Behaviour of Stabled Horses.. Appl. Anim. Behav. Sci. 2005;90:351–364.
  23. Williams J, Parrot R, Da Mata F. Effect of Manual and Motorized Dental Rasping Instruments on Thoroughbred’s Heart Rate and Behavior.. J. Vet. Behav. 2012;7:149–156.
  24. Hanis F, Chung ELT, Kamalludin MH, Idrus Z. Discovering the Relationship between Dietary Nutrients and Cortisol and Ghrelin Hormones in Horses Exhibiting Oral Stereotypic Behaviors: A Review.. J. Vet. Behav. 2020;39:90–98.
  25. Cooper JJ, McDonald L, Mills DS. The Effect of Increasing Visual Horizons on Stereotypic Weaving: Implications for the Social Housing of Stabled Horses.. Appl. Anim. Behav. Sci. 2000;69:67–83.
    doi: 10.1016/S0168-1591(00)00115-5pubmed: 10856785google scholar: lookup
  26. Moeller BA, McCall CA, Silverman SJ, McElhenney WH. Estimation of Saliva Production in Crib-Biting and Normal Horses.. J. Equine Vet. Sci. 2008;28:85–90.
  27. Sarrafchi A, Blokhuis HJ. Equine Stereotypic Behaviors: Causation, Occurrence, and Prevention.. J. Vet. Behav. 2013;8:386–394.
  28. Wickens CL, Heleski CR. Crib-Biting Behavior in Horses: A Review.. Appl. Anim. Behav. Sci. 2010;128:1–9.
  29. Carvalho Seabra J, Hess T, Martinez do Vale M, Spercoski KM, Brooks R, Dittrich JR. Effects of Different Hay Feeders, Availability of Roughage on Abnormal Behaviors and Cortisol Circadian Rhythm in Horses Kept in Dry Lots.. J. Equine Vet. Sci. 2023;130:104911.
    doi: 10.1016/j.jevs.2023.104911pubmed: 37625626google scholar: lookup
  30. Carvalho Seabra J, Martinez do Vale M, Spercoski KM, Hess T, Patricio Viviani de Moura P, Dittrich JR. Time-Budget and Welfare Indicators of Stabled Horses in Three Different Stall Architectures: A Cross-Sectional Study.. J. Equine Vet. Sci. 2023;131:104936.
    doi: 10.1016/j.jevs.2023.104936pubmed: 37813129google scholar: lookup
  31. Correa MG, Rodrigues e Silva CF, Dias LA, da Silva Rocha Junior S, Thomes FR, Alberto do Lago L, de Mattos Carvalho A, Faleiros RR. Welfare Benefits after the Implementation of Slow-Feeder Hay Bags for Stabled Horses.. J. Vet. Behav. 2020;38:61–66.
  32. Brilot BO, Asher L, Bateson M. Stereotyping Starlings Are More ‘Pessimistic’.. Anim. Cogn. 2010;13:721–731.
    doi: 10.1007/s10071-010-0323-zpubmed: 20464439google scholar: lookup
  33. Watters JV, Krebs BL. Assessing and Enhancing the Welfare of Animals with Equivocal and Reliable Cues.. Animals. 2019;9:680.
    doi: 10.3390/ani9090680pmc: PMC6770604pubmed: 31540297google scholar: lookup
  34. Krebs BL, Chudeau KR, Eschmann CL, Tu CW, Pacheco E, Watters JV. Space, Time, and Context Drive Anticipatory Behavior: Considerations for Understanding the Behavior of Animals in Human Care.. Front. Vet. Sci. 2022;9:972217.
    doi: 10.3389/fvets.2022.972217pmc: PMC9485936pubmed: 36148468google scholar: lookup
  35. Briefer EF, Maigrot A-L, Mandel R, Freymond SB, Bachmann I, Hillmann E. Segregation of Information about Emotional Arousal and Valence in Horse Whinnies.. Sci. Rep. 2015;5:9989.
    doi: 10.1038/srep09989pmc: PMC4404681pubmed: 25897781google scholar: lookup
  36. van der Harst JE, Baars A-M, Spruijt BM. Standard Housed Rats Are More Sensitive to Rewards than Enriched Housed Rats as Reflected by Their Anticipatory Behaviour.. Behav. Brain Res. 2003;142:151–156.
    doi: 10.1016/S0166-4328(02)00403-5pubmed: 12798276google scholar: lookup
  37. Hansen SW, Jeppesen LL. Temperament, Stereotypies and Anticipatory Behaviour as Measures of Welfare in Mink.. Appl. Anim. Behav. Sci. 2006;99:172–182.
  38. Hampson BA, Morton JM, Mills PC, Trotter MG, Lamb DW, Pollitt CC. Monitoring Distances Travelled by Horses Using GPS Tracking Collars.. Aust. Vet. J. 2010;88:176–181.
  39. Griffin KE, Arndt SS, Vinke CM. The Adaptation of Maslow’s Hierarchy of Needs to the Hierarchy of Dogs’ Needs Using a Consensus Building Approach.. Animals. 2023;13:2620.
    doi: 10.3390/ani13162620pmc: PMC10451230pubmed: 37627411google scholar: lookup
  40. Mistlberger RE. Food as Circadian Time Cue for Appetitive Behavior.. F1000Research. 2020;9:61.

Citations

This article has been cited 0 times.