Hostname: page-component-78c5997874-mlc7c Total loading time: 0 Render date: 2024-11-08T04:24:21.809Z Has data issue: false hasContentIssue false

The effect of diet and genetic constitution on growth curves and efficiency in rats

Published online by Cambridge University Press:  02 September 2010

Susana Calderari de Lozano
Affiliation:
Departamento de Ciencias Fisiológicas, Facultad de Ciencias Médicas, Santa Fe 3100, Rosario 2000, Argentina
Get access

Summary

Equations relating biomass to cumulative food ingested ad libitum were defined in rats from weaning to 200 days of age. Two inbred lines of the IIM strain: α, of medium adult weight, and b, of low adult weight, were fed on two different diets, × and Z. The following groups were formed: αX, αZ, bX and bZ. Body weight and food intake were recorded over a 1-day period every second day. For each of the four groups, body weight, W, could be described as a function of cumulative food intake (F) by the equation:

Each exponential term was assumed to measure the behaviour of a portion of the biomass. The first exponential term implied an intense growth and a high initial efficiency, which became effectively zero by about 100 days of age. The second exponential term implied a weak growth and a low but significant efficiency of food utilization. Type of diet influenced level of intake and was important at early ages (<100 days). At 46 days of age, animals of both lines were heavier and more efficient when fed on diet Z. The genetic influence determining final adult weight becomes evident after 46 days of age.

Type
Research Article
Copyright
Copyright © British Society of Animal Science 1977

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

REFERENCES

Berg, B. N. and Harmison, C. R. 1957. Growth, disease and aging in the rat. J. Geront. 12: 370377.Google Scholar
Cheek, D. B. and Holt, A. B. 1963. Growth and body composition of the mouse. Am. J. Physiol. 205: 913918.CrossRefGoogle ScholarPubMed
Fitzhugh, H. A. 1976. Analysis of growth curves and strategies for altering their shape. J. Anim. Sci. 42: 10361051.Google Scholar
Hendricks, W. A., Jull, M. A. and Titus, H. W. 1931. A possible physiological interpretation of the law of the diminishing increment. Science, N. Y. 73: 427429.CrossRefGoogle ScholarPubMed
Lesser, G. T., Deutsch, S. and Markofsky, J. 1973. Aging in the rat: longitudinal and cross-sectional studies of body composition. Am. J. Physiol. 225: 14721478.CrossRefGoogle ScholarPubMed
Parks, J. R. 1970. Growth curves and the physiology of growth. I. Animals. Am. J. Physiol. 219: 834836.Google ScholarPubMed
Riggs, D. S. 1970. The Mathematical Approach to Physiological Problems. M.I.T. Press, Cambridge, Mass.Google Scholar
Snedecor, G. W. and Cochran, W. G. 1967. Statistical Methods. 6th ed. Iowa State Univ. Press, Ames, la.Google Scholar
Spetale, M. R., Calderari De Lozano, S. A. and Cardini, J. 1977. The effect of food restriction on mitochondrial liver function in rats of two genetic lines. Nutr. Rep. int. 15: 295304.Google Scholar
Spillman, W. J. and Lang, E. 1924. The Law of Diminishing Return. World Book, Chicago.Google Scholar