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Dependence of kf and maintenance estimates on the choice of regression model: Effect of measurement errors in metabolisable energy intake

Published online by Cambridge University Press:  05 November 2021

M.S. Dhanoa ,
R. Sanderson  and
J. France
M.S. Dhanoa
Affiliation:
Institute of Grassland and Environmental Research, Plas Gogerddan, Aberystwyth, SY23 3EB, UK
R. Sanderson
Affiliation:
Institute of Grassland and Environmental Research, Plas Gogerddan, Aberystwyth, SY23 3EB, UK
J. France
Affiliation:
Institute of Grassland and Environmental Research, North Wyke Research Station, Okehampton, EX20 2SB, UK
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Extract

Ordinary least squares (OLS) regression will give negatively biased estimates of slope if the x-variable is subject to measurement errors. In energy balance regression, metabolisable energy intake (MEI) is neither under precise control nor free from measurement errors. In order to improve the accuracy of prediction of energy requirements, it is necessary to recognise the effect of this bias when deriving estimates of maintenance (M) energy requirements and the efficiency of utilisation of energy for growth (kf).

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Programme
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Proceedings of the British Society of Animal Science , Volume 1997 , 1997 , pp. 119
Copyright
Copyright © British Society of Animal Science 1997

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References

Kendall, M. G. & Stuart, A. 1960. The Advanced Theory of Statistics, Volume 3 Charles Griffin and Company Limited, London.Google Scholar
Sanderson, R. 1992 The effect of fish-meal and specific amino acids on the growth and efficiency of young steers given grass silage. PhD thesis, University of Reading, UK.Google Scholar