Integration of energy and protein transactions in the body to build new tools for predicting performance and body composition of ruminants
V. H. Oddy A D , H. C. Dougherty B and J. W. Oltjen C
+ Author Affiliations
- Author Affiliations
A NSW Department of Primary Industries, Livestock Industries Centre, Trevanna Road, University of New England, Armidale, NSW 2351, Australia.
B Department of Animal Science, W049 The Woolshed, University of New England, Armidale, NSW 2351, Australia.
C Department of Animal Science, One Shields Avenue, University of California, Davis, CA 95616, USA.
D Corresponding author. Email: hutton.oddy@dpi.nsw.gov.au
Animal Production Science 59(11) 1970-1979 https://doi.org/10.1071/AN19229
Submitted: 18 April 2019 Accepted: 24 July 2019 Published: 16 September 2019
Abstract
Increased market pressure to improve meat yield and quality require improved methods of predicting body composition in growing animals. Current systems of animal nutrition based on nutrient supply and animal characteristics predict animal growth from nutrient inputs, but, as of yet, do not accurately predict body composition. The present paper explores the evidence and data required to support an existing model of the effects of energy intake on visceral and muscle protein mass and energy expenditure to predict heat production, growth and body composition of sheep. While parameters of the model related to energetic costs of protein in muscle and viscera can be supported by independent studies, parameters associated with energetic costs of protein gain, particularly in viscera, are harder to reconcile with independent measurements. The range of available data on systematic changes in visceral organ mass over time in response to feed intake is limited, which may constrain generalisation of the parameters of the model with regard to the wide range of production situations faced by the sheep and cattle industries. However, sufficient data exist in the literature to test, and if required, revise the current framework.
Additional keywords: cattle, modelling, protein metabolism, ruminant nutrition, sheep.
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