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The use of regression techniques on calorimetric data to estimate the metabolisable energy requirements of lactating dairy cows

Published online by Cambridge University Press:  05 November 2021

T. Yan ,
F. J. Gordon ,
R. E. Agnew ,
M. G. Porter  and
D. C. Patterson
T. Yan
Affiliation:
The Agricultural Research Institute of Northern Ireland, Hillsborough, Co Down BT26 6DR, UK
F. J. Gordon
Affiliation:
The Agricultural Research Institute of Northern Ireland, Hillsborough, Co Down BT26 6DR, UK
R. E. Agnew
Affiliation:
The Agricultural Research Institute of Northern Ireland, Hillsborough, Co Down BT26 6DR, UK
M. G. Porter
Affiliation:
The Agricultural Research Institute of Northern Ireland, Hillsborough, Co Down BT26 6DR, UK
D. C. Patterson
Affiliation:
The Agricultural Research Institute of Northern Ireland, Hillsborough, Co Down BT26 6DR, UK
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Extract

The metabolisable energy (ME) requirement for maintenance (MEm) can be determined by measuring the fasting metabolism of the non-lactating cow, but this approach cannot encompass any differences in maintenance metabolic rate between lactating and non-lactating animals. The MEm and efficiency of ME use for lactation (k1) can also be estimated by regression of energy outputs against ME intake (MEI). During 1992 to 1995, a total of 221 Holstein/Friesian lactating dairy cows, which were offered grass silage-based diets, were subjected to gaseous exchange measurements in indirect open-circuit respiration calorimeters. The objective of the present study was to use these data to predict the MEm and k1 by a range of regression techniques for lactating dairy cows offered grass silage-based diets.

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Programme
Information
Proceedings of the British Society of Animal Science , Volume 1997 , 1997 , pp. 4
Copyright
Copyright © British Society of Animal Science 1997

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References

AFRC. 1990. Technical Committee on Responses to Nutrients, Report Number 5, Nutritive Requirements of Ruminant Animals: Energy. Nutrition Abstracts and Reviews (Series B) 60: 729–804.Google Scholar
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