1998
DOI: 10.1006/jtbi.1998.0759
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Satiety Splits Feeding Behaviour into Bouts

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Cited by 129 publications
(149 citation statements)
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“…A 4-day adaptation period was used because the heifers remained in the same pen and accessed the feed from the same bin throughout the study (diets were switched among bins during the study). Meal criteria (maximum amount of time between visits to the feed bins to consider a visit as a part of the same meal) were calculated using a model composed of two normal distributions resulting from the natural logarithm of time (in seconds) between feed bin visits as described elsewhere (Tolkamp et al, 1998). Meal criteria were calculated for each heifer for the last 5 days of each period and treatment.…”
mentioning
confidence: 99%
“…A 4-day adaptation period was used because the heifers remained in the same pen and accessed the feed from the same bin throughout the study (diets were switched among bins during the study). Meal criteria (maximum amount of time between visits to the feed bins to consider a visit as a part of the same meal) were calculated using a model composed of two normal distributions resulting from the natural logarithm of time (in seconds) between feed bin visits as described elsewhere (Tolkamp et al, 1998). Meal criteria were calculated for each heifer for the last 5 days of each period and treatment.…”
mentioning
confidence: 99%
“…(Tolkamp et al, 1998) but have not been tested using data collected with newly weaned piglets. Data from a study into the short term feeding behaviour of such piglets, recorded continuously with Leeds University's Feeding Behaviour System (LUFBS), were used to examine the suitability of this methodology and calculate meal characteristics.…”
Section: Discussionmentioning
confidence: 99%
“…Then, the two-Gaussian mixture model was applied, by fitting the relative frequency distribution of log e -transformed RIs with the following equation (Tolkamp et al 1998;Tolkamp and Kyriazakis 1999): where y is the relative frequency at log e -transformed length of interval t, p is the proportion of the first or intra-bout Gaussian distribution in the whole dataset, m 1 and m 2 are the means of the two distributions, and s 1 and s 2 represent the standard deviation of the two distributions. The bout criterion can be calculated as the point where the two distributions cross.…”
Section: Discussionmentioning
confidence: 99%
“…The method is based on the assumption that the intra-and inter-bout intervals are produced by Poisson processes with different coefficients of rate, hence the survivorship can be described as the mixture of two negative exponential distributions, and the log esurvivorship curve is in the form of a broken-stick (Slater and Lester 1982). However, the assumption of the underlying Poisson processes and the corresponding negative exponential distributions for this technique are not always met, where the method could not be successfully applied (Tolkamp et al 1998;Tolkamp and Kyriazakis 1999;Frische et al 2000). Alternatively, in the analysis of cow feeding behavior, Tolkamp et al (1998) log e -transformed the feeding intervals and then fitted the frequency distribution with a two-Gaussian mixture model, resulting in a good fit and a biologically significant bout criterion.…”
Section: Introductionmentioning
confidence: 99%
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