Evaluation of selected mathematical approaches to the kinetics of protein degradation in situ

Citation
A. Bach et al., Evaluation of selected mathematical approaches to the kinetics of protein degradation in situ, J ANIM SCI, 76(11), 1998, pp. 2885-2893
Citations number
22
Categorie Soggetti
Animal Sciences
Journal title
JOURNAL OF ANIMAL SCIENCE
ISSN journal
00218812 → ACNP
Volume
76
Issue
11
Year of publication
1998
Pages
2885 - 2893
Database
ISI
SICI code
0021-8812(199811)76:11<2885:EOSMAT>2.0.ZU;2-C
Abstract
A linear model, two mathematical nonlinear models, and a curve-peeling proc edure were used to estimate rate and extent of ruminal CP degradation of me at and bone meal (MBM) and soybean meal (SBM) from data obtained using the in situ Dacron polyester bag technique. Most of the values for extent of CP degradation of MBM were lowest when determined using curve peeling or the nonlinear models. In general, rates and extents of CP degradation of MBM es timated using the linear model and including ruminal incubations up to 12 h were greater than those obtained with the linear model and including rumin al incubations up to 24 h or up to 72 h. In addition, the models ranked the MBM samples differently for rate and extent of CP degradation. The results of the lack-of-fit test indicated that the linear model was inappropriate for estimating rate of degradation of MBM. However, CP degradation for SBM could be described by the linear model if long ruminal incubation times (gr eater than 48 h) were included in the calculations. Regression analyses wer e conducted to evaluate various compositional characteristics as predictors of CP degradation for MBM. Most of the correlation coefficients between CP degradation and the same independent variables were greater when the nonli near models and curve peeling were used compared with the linear model. In general, the correlation coefficients between extent of CP degradation and the independent variables obtained with the linear model increased as the d uration of ruminal incubations included in the model increased. Lysine conc entrations, followed by CP solubility and ash content, mere the best predic tors of ruminal degradation of MBM protein. When using a specific mathemati cal model to predict CP degradation, analysis of residuals vs fitted and la ck-of-fit tests should be performed to assess the validity of the model to describe the degradation patterns of the protein source under consideration . Also, long (at least 48 h) ruminal incubation times may be needed to corr ectly describe the pattern of CP degradation for MBM.