Hostname: page-component-78c5997874-v9fdk Total loading time: 0 Render date: 2024-11-17T21:48:46.335Z Has data issue: false hasContentIssue false

Towards a biological basis for predicting nutrient partitioning: the dairy cow as an example

Published online by Cambridge University Press:  23 November 2017

N C Friggens*
Affiliation:
Danish Institute of Agricultural Sciences, Tjele, Denmark
J R Newbold
Affiliation:
Provimi Research and Technology Centre, Brussels, Belgium
Get access

Extract

Prediction of animal responses to supplementary nutrients has long been recognized as a problem in nutritional science (Kellner, 1926) that has still not been solved (Hanigan et al. ,2005). Another substantial problem is how to incorporate genetic differences into nutritional models (McNamara and Baldwin, 2000). These two problems are linked as their biological basis lies in the relative priorities of different life functions (growth, reproduction, health, etc.) and how they change both through time and under genetic selection. The purpose of this paper is to present recent developments in describing this biological basis and evidence in support of the concepts involved, using the cow as an example species.

Type
Invited papers
Copyright
Copyright © 2016 The American Society of International Law

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

Hanigan, M.D., Bateman, H.G., Fadel, J.G., McNamara, J.P., 2005. Metabolic models of ruminant metabolism: Recent improvements and current status Journal of Dairy Science 88 Suppl 1., 215. 2005.Google Scholar
Kellner, O. (eds.), 1926. The scientific feeding of animals. 2nd. Duckworth, pp. 1-328.Google Scholar
McNamara, J.P., Baldwin, R.L., 2000. Estimation of parameters describing lipid metabolism in lactation: Challenge of existing knowledge described in a model of metabolism. Journal of Dairy Science 83, 128-143. 2000.Google Scholar