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Evaluation of a set of hierarchically ordered feed descriptors as predictors of milk protein concentration

Published online by Cambridge University Press:  05 November 2021

A. J. Rook ,
E. Smoler ,
D. E. Beever ,
M. A. Lomax  and
J. D. Sutton
A. J. Rook
Affiliation:
Institute of Grassland and Environmental Research, North Wyke, Okehampton, Devon EX20 2SB, United Kingdom
E. Smoler
Affiliation:
University of Reading, Earley Gate, Reading RG6 6AT, United Kingdom
D. E. Beever
Affiliation:
University of Reading, Earley Gate, Reading RG6 6AT, United Kingdom
M. A. Lomax
Affiliation:
University of Reading, Earley Gate, Reading RG6 6AT, United Kingdom
J. D. Sutton
Affiliation:
University of Reading, Earley Gate, Reading RG6 6AT, United Kingdom
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Extract

Recent changes in the structure of the UK dairy industry are leading to closer specification of milk protein concentration (MPC) by customers. Accurate prediction of MPC from feed input variables is needed to allow producers to meet this demand. Previous attempts to predict MPC have been relatively unsuccessful (e.g. Rook et al., 1992). However, recent advances in feed description such as the AFRC (1993) protein system may allow further progress.

Type
Dairy
Information
Proceedings of the British Society of Animal Science , Volume 1996 , March 1996 , pp. 86
Copyright
Copyright © The British Society of Animal Science 1996

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References

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