J. Anim Sci.
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
QUICK SEARCH:   [advanced]


     

This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Schinckel, A. P.
Right arrow Articles by Einstein, M. E.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Schinckel, A. P.
Right arrow Articles by Einstein, M. E.

Journal of Animal Science, Vol 74, Issue 3 498-503, Copyright © 1996 by American Society of Animal Science

JOURNAL ARTICLE

Prediction of daily protein accretion rates of pigs from estimates of fat-free lean gain between 20 and 120 kilograms live weight

A. P. Schinckel, P. V. Preckel and M. E. Einstein
Department of Animal Sciences, Purdue University, West Lafayette, IN 47907-1151, USA.

The objective of this study was to evaluate a method for predicting daily protein accretion rates of various genotypes of pigs reared in different environmental conditions using easily obtained mean daily fat-free growth rates. Data were obtained for seven genotype-environment groups of gilts and nine groups of barrows. Daily empty body protein accretion rates were estimated at 1.0-kg intervals between 20 and 120 kg live weight. The estimates were fitted to a generalized exponential function, PA = A e(B x WT + C/WT + D x WT2), where WT is kilograms of live weight and A, B, C, and D are estimated parameters for each sex. Nonlinear least squares methods were used to estimate the intercept and regression coefficients expressing each parameter estimate (A, B, C, and D) as a linear function of the mean fat-free lean gain for each sex-genotype-environment group. The mean percentage absolute errors were 3.5% for gilts and 6.1% for barrows. The largest errors occurred between 110 and 120 kg live weight. From 20 to 110 kg, mean percentage errors averaged 2.7% for gilts vs 4.8% for barrows. These results offer encouraging evidence that a generalized equation can be used to predict daily protein accretion rates from mean fat-free lean growth data. Further research, with additional genotype-environment populations, is needed to increase accuracy of the generalized growth functions.


This article has been cited by other articles:


Home page
 J ANIM SCIHome page
K. W. Ssu, M. C. Brumm, and P. S. Miller
Effect of feather meal on barrow performance
J Anim Sci, September 1, 2004; 82(9): 2588 - 2595.
[Abstract] [Full Text] [PDF]

Home page
 J ANIM SCIHome page
C. F. M. de Lange, P. C. H. Morel, and S. H. Birkett
Modeling chemical and physical body composition of the growing pig
J Anim Sci, February 1, 2003; 81(14_suppl_2): E159 - 165.
[Abstract] [Full Text] [PDF]


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 1996 by the American Society of Animal Science.