Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Satiety splits feeding behaviour into bouts

Tolkamp1, Allcroft, Austin

  • 1Animal Biology Division, SAC, The King's Buildings, Edinburgh, EH9 3JG, Scotland.

Journal of Theoretical Biology
|October 21, 1998
PubMed
Summary

Existing bout analysis methods assume random event timing, which is unsuitable for feeding behavior. A new log-normal model better describes meal intervals, accounting for satiety and improving bout criteria in animal behavior studies.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Gold.-Number IV.

The Dental register·2021
Same author

Gold.-Number V.

The Dental register·2021
Same author

Gold-No. VI.

The Dental register·2021
Same author

The spectrum of disease severity, the burden of hospitalizations and associated risk factors in confirmed dengue among persons of all ages: findings from a population based longitudinal study from Barbados.

Infectious diseases (London, England)·2020
Same author

Vibrio harveyi: a pathogen of penaeid shrimps and fish in Venezuela.

Journal of fish diseases·2018
Same author

Sonication and macromolecular mechanochemistry: General discussion.

Faraday discussions·2014

Area of Science:

  • Animal Behavior
  • Ethology
  • Quantitative Biology

Background:

  • Animal behavior often occurs in bouts, requiring criteria to distinguish intervals within and between bouts.
  • Current quantitative bout analysis methods, like log-survivorship and log-frequency analysis, assume random event occurrences (Poisson processes).
  • These methods are applied to feeding behavior, where bouts can represent meals, but the satiety concept challenges the random distribution assumption for inter-meal intervals.

Purpose of the Study:

  • To evaluate the suitability of existing bout analysis techniques for describing feeding behavior intervals.
  • To propose a new model that better accounts for the observed interval distributions in feeding behavior, particularly the 'shortage' of short intervals.
  • To compare the proposed model with existing methods in terms of biological relevance and fit to empirical data.

Related Experiment Videos

Main Methods:

  • Continuous recording of feeding behavior in 16 cows over 30 days.
  • Application and critique of log-survivorship and log-frequency analysis for bout criterion determination.
  • Development and testing of a novel log-normal model describing frequency distributions of log-transformed interval lengths.

Main Results:

  • Existing bout analysis techniques (log-survivorship, log-frequency) were found inadequate for observed interval distributions in cow feeding behavior.
  • The proposed log-normal model demonstrated a better fit to the empirical interval data compared to existing models.
  • The log-normal model better reflects the biological concept of satiety and provides a more meaningful meal criterion.

Conclusions:

  • Standard bout analysis models based on Poisson processes are insufficient for analyzing feeding behavior due to the influence of satiety.
  • A log-normal model, which describes the frequency distribution of log-transformed interval lengths, offers a superior approach for analyzing feeding bout intervals.
  • The refined bout criterion derived from the log-normal model enhances the understanding of feeding patterns and satiety in animals.