Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/58983
Title: O5 Predicting the efficiency of utilisation of energy for maintenance (km) or gain (kg) for sheep and cattle from feed quality components
Contributor(s): Clayton, E H (author); Oltjen, J W (author); Evered, M  (author); Oddy, V H  (author)orcid 
Publication Date: 2022-08
DOI: 10.1016/j.anscip.2022.07.015
Handle Link: https://hdl.handle.net/1959.11/58983
Abstract: 

In the current Australian feeding standards for ruminants (CSIRO, 2007) the metabolisablecff energy intake (MEI) required for maintenance (MEm), where retained energy (RE) is zero, is estimated from fasting heat production (FHP) and the efficiency of utilisation of energy for maintenance (km). The efficiency of utilisation of energy for gain (kg) is estimated from the regression of RE:MEI at all levels of feeding (LoF). As FHP is affected by prior LoF, the accuracy of prediction of km and kg relies on feeding at maintenance prior to measurement. The UK feeding system (ARC, 1980) uses fixed values of km and kg for different feedstuffs. The Australian system predicts efficiencies from the energy density (M/D, MJ/kg DM) of the diet (km = 0.02 × M/D + 0.5, kg = 0.043 × M/D), however, it is unclear where the data used to derive these relationships was obtained. Therefore, the aim of the current study was to determine the relationship between km or kg and M/D or other proximate analysis components using data obtained from in vivo calorimetry studies

Publication Type: Conference Publication
Conference Details: ISEP 2022: 7th EAAP International Symposium on Energy and Protein Nutrition (ISEP), Granada, Spain, 12th-15th September, 2022
Source of Publication: Animal - Science Proceedings, 13(3), p. 248-249
Publisher: Elsevier BV
Place of Publication: The Netherlands
ISSN: 2772-283X
Fields of Research (FoR) 2020: 3003 Animal production
HERDC Category Description: E3 Extract of Scholarly Conference Publication
Appears in Collections:Conference Publication
School of Environmental and Rural Science
School of Science and Technology

Files in This Item:
1 files
File SizeFormat 
Show full item record
Google Media

Google ScholarTM

Check

Altmetric


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.