Discriminant analysis of patterns of jaw movement during rumination and eating in a cow

Citation
C. Schleisner et al., Discriminant analysis of patterns of jaw movement during rumination and eating in a cow, ACT AG SC A, 49(4), 1999, pp. 251-259
Citations number
20
Categorie Soggetti
Animal Sciences
Journal title
ACTA AGRICULTURAE SCANDINAVICA SECTION A-ANIMAL SCIENCE
ISSN journal
09064702 → ACNP
Volume
49
Issue
4
Year of publication
1999
Pages
251 - 259
Database
ISI
SICI code
0906-4702(199912)49:4<251:DAOPOJ>2.0.ZU;2-W
Abstract
Discriminant analysis was used to identify combinations of variables, chara cterizing patterns of jaw movement (JM) during eating and rumination, that minimize errors when classifying series of successive JM of knows behaviour into rumination and eating. JM data from a non-lactating jersey cow were r ecorded continuously for 72 h. The cow was fed 1800 g of barley straw and 1 375 g of dried sugarbeet pulp pellets twice daily. Average times spent eati ng and ruminating daily were 294 and 462 min. Successive rumination and eat ing JM were grouped into series when pauses between JM were equal to or lon ger than a fixed time interval corresponding to the minimum time interval b etween successive rumination cycles. Time intervals between successive JM, amplitude (the magnitude of the jaw's movement) and number of chews per ser ies of successive JM were calculated for all rumination and eating series a nd included in the discriminant analyses. The combination of the four varia bles, basic chewing rate (BCR), mean of amplitude/standard deviation of amp litude, ln(number of chews) and standard deviation of time intervals betwee n successive jaw movements, gave the least minutes of misclassified chewing behaviour per day (3%, of total daily chewing time) and yielded a quadrati c discriminant function. The order of the variables mentioned rank the vari ables according to their ability to classify the series. Combinations of th e variables BCR and ln(number of chews), and other variables based on mean and standard deviation of time intervals between successive JM and amplitud e of JM, can be used with advantage for classifying series of successive JM into rumination and eating behaviour.