A comparative evaluation of functions for partitioning nitrogen and amino acid intake between maintenance and growth in broilers

• Published in: The Journal of agricultural science Vol. 146; no. 2; pp. 163 - 170
• Main Authors: KEBREAB, E., FRANCE, J., KUHI, H. DARMANI, LOPEZ, S.
• Format: Journal Article
• Language: English
• Published: Cambridge, UK Cambridge University Press 01.04.2008
• Subjects: Accretion; amino acid metabolism; Amino acids; animal growth; Bioassays; broiler chickens; broiler feeding; crude protein; Energy balance; Estimates; feed intake; Nitrogen; nitrogen metabolism; Poultry; protein intake; Proteins; Studies
• ISSN: 0021-8596; 1469-5146
• DOI: 10.1017/S0021859607007423

The results from three types of study with broilers, namely nitrogen (N) balance, bioassays and growth experiments, provided the data used herein. Sets of data on N balance and protein accretion (bioassay studies) were used to assess the ability of the monomolecular equation to describe the relationship between (i) N balance and amino acid (AA) intake and (ii) protein accretion and AA intake. The model estimated the levels of isoleucine, lysine, valine, threonine, methionine, total sulphur AAs and tryptophan resulting in zero balance to be 58, 59, 80, 96, 23, 85 and 32 mg/kg live weight (LW)/day, respectively. These estimates show good agreement with those obtained in previous studies. For the growth experiments, four models, specifically re-parameterized for analysing energy balance data, were evaluated for their ability to determine crude protein (CP) intake at maintenance and efficiency of utilization of CP intake for producing gain. They were: a straight line, two equations representing diminishing returns behaviour (monomolecular and rectangular hyperbola) and one equation describing smooth sigmoidal behaviour with a fixed point of inflexion (Gompertz). The estimates of CP requirement for maintenance and efficiency of utilization of CP intake for producing gain varied from 5·4 to 5·9 g/kg LW/day and 0·60 to 0·76, respectively, depending on the models.