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.