Hostname: page-component-cd9895bd7-hc48f Total loading time: 0 Render date: 2024-12-23T18:24:36.541Z Has data issue: false hasContentIssue false

Patterns of daily food intake in growing pigs

Published online by Cambridge University Press:  02 September 2010

L. C. M. de Haer
Affiliation:
Research Institute for Animal Production, (IVO-DLO) ‘Schoonoord’, PO Box 501, 3700 AM Zeist, The Netherlands
J. W. M. Merks
Affiliation:
Research Institute for Animal Production, (IVO-DLO) ‘Schoonoord’, PO Box 501, 3700 AM Zeist, The Netherlands
Get access

Abstract

Food intake patterns of growing pigs given food ad libitum in individual and group housing were derived from food intake recordings with IVOG®-stations. The IVOG-station is a feeding station that records animal identification number, time, duration and amount of food intake during each visit of a pig to the food hopper. Data were collected in three testing batches of 90 Dutch Landrace pigs each, housed in 10 individual pens and in 10 group pens of eight pigs per batch.

Based on survival analysis theory, intervals between visits shorter than 5 min (which was used as meal criterion) were regarded as within-meal intervals and these visits were grouped into meals. In group housing, food intake per day and rate of food intake had no significantly non-normal distribution. In individual housing, rate of food intake, food intake per day and number of meals per day had no significantly non-normal distribution. In individual housing rate of food intake, food intake per day and number of meals per day had no significantly non-normal distribution. All traits were normally distributed after discarding extreme values, except food intake and eating time per visit and per meal. In group housing these traits were not significantly non-normally distributed after logarithmic transformation.

Pigs housed in groups ate faster, had a higher food intake per meal but less meals per day, less eating time per day and a lower daily food intake than pigs penned individually. During the day two peaks of feeding activity occurred, especially in group housing: one in the morning and one in the beginning of the afternoon.

A distinction was made between meals with a major contribution to daily food intake and meals of minor importance. In group housing, 69% of the daily number of meals accounted for proportionately 0·87 of daily food intake and 0·83 of daily food intake time. In individual housing 39% of the meals accounted for proportionately 0·90 of the daily food intake and 0·79 of the daily eating time.

Higher repeatabilities of day to day recordings of food intake traits, were found when estimated within 2-week periods compared with months or with the total fattening period.

Type
Research Article
Copyright
Copyright © British Society of Animal Science 1992

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Beasley, J. D. and Springer, S. G. 1977. Algorithm AS 111. The percentage points of the normal distribution. Applied Statistics 26:118121.CrossRefGoogle Scholar
Bergström, P. L. and Kroeske, D. 1968. Methods of carcass assessment in research on carcass quality in the Netherlands. I. Description of the methods. Annual meeting of the European Association of Animal Production, Dublin. Report, Institute for Animal Production, Zeist, C-123.Google Scholar
Bigelow, J. A. and Houpt, T. R. 1988. Feeding and drinking patterns in young pigs. Physiology and Behavior 43: 99109.CrossRefGoogle ScholarPubMed
Cohn, C., Joseph, D. and Allweiss, M. D. 1962. Nutritional effects of feeding frequency. American Journal of Clinical Nutrition 11:356361.CrossRefGoogle ScholarPubMed
Duncan, I. J. H., Home, A. R., Hughes, B. O. and Wood-Gush, D. G. M. 1970. The pattern of food intake in female Brown Leghorn fowls as recorded in a Skinner box. Animal Behaviour 18: 245255.CrossRefGoogle Scholar
Foster, W. H., Kilpatrick, D. J. and Heaney, I. H. 1983. Genetic variation in the efficiency of energy utilization by the fattening pig. Animal Production 37: 387393.Google Scholar
Genstat 5 Committee. 1987. Genstat 5 reference manual. Oxford University Press.Google Scholar
Haer, L. C. M. de, Merks, J. W. M., Kooper, H. G., Buiting, G. A. J. and Hattum, J. A. van 1992. A note on the IVOG—station: a feeding station to record the individual food intake of group-housed growing pigs. Animal Production 54:160162.Google Scholar
Harvey, W. R. 1977. User's guide for LSML76 (mixed model least squares and maximum likelihood computer program). Ohio State University. (Mimeo).Google Scholar
Hill, I. D. 1973. Algorithm AS 66. The normal integral. Applied Statistics 22: 424427.CrossRefGoogle Scholar
Ho, A. and Chin, A. 1988. Circadian feeding and drinking patterns of genetically obese mice fed solid chow diet. Physiology and Behavior 43: 651656.CrossRefGoogle ScholarPubMed
Jong, H. W. de 1985. Dynamische markttheorie. Stenferd Kroese BV, Leiden, The Netherlands.Google Scholar
Király, A., Papp, J. and Withnann, M. 1986. Effect of environmental factors on the behaviour of the fattening pigs. International symposium on applied animal behaviour, Balatonfiired, Hungary.Google Scholar
Marx, D., Buchholz, M. and Mertz, R. 1987. Beziehungen zwischen haltungs-technik und tagesrhythmus bei friihabgesetzten ferkeln. Aktuelle arbeiten zur artgemaessen tierhaltung, Freiburg. KTBL-Schrift 323, pp. 935.Google Scholar
Merks, J. W. M. 1989. Genotype × environment interactions in pig breeding programmes. VI. Genetic relations between performances in central test, on-farm test and commercial fattening. Livestock Production Science 22:325339.CrossRefGoogle Scholar
Metz, J. H. M. 1975. Time patterns of feeding and rumination in domestic cattle. Thesis, Agricultural University Wageningen, The Netherlands, 75-12, pp. 214.Google Scholar
Royston, J. P. 1982a. An extension of Shapiro and Wilk's W test for normality to large samples. Applied Statistics 31: 115124.CrossRefGoogle Scholar
Royston, J. P. 1982b. Algorithm AS 177. Expected normal order statistics (exact and approximate). Applied Statistics 31: 161165.CrossRefGoogle Scholar
Royston, J. P. 1982c. Algorithm AS 181. The W test for normality. Applied Statistics 31:176180.CrossRefGoogle Scholar
Salden, N. T. C. J. and Sas, A. H. M. 1976. De groei en het niveau en tijds-patroon van de voeropname van ad libitum gevoerde HC-gevoelige en MHS-ongevoelige varkens. Student thesis, Agricultural University Wageningen, The Netherlands.Google Scholar
Schouten, W. G. P. 1986. Rearing conditions and behaviour in pigs. Thesis Agricultural University Wageningen, The Netherlands, pp. 5471.Google Scholar
Shapiro, S. S. and Wilk, M. B. 1965. An analysis of variance test for normality. Biometrika 52: 591611.CrossRefGoogle Scholar
Strubbe, J. H. and Gorissen, J. 1980. Meal patterning in the lactating rat. Physiology and Behavior 25: 775777.CrossRefGoogle ScholarPubMed
Wiepkema, P. R. 1968. Behaviour changes in CBA mice as a result of one goldthioglucose injection. Behaviour 32: 179210.CrossRefGoogle ScholarPubMed