Biomedical subjects

J Van Milgen

Publications and source records attributed to J Van Milgen.

4 recordsLinked to original sources

PubMed1995

Models based on variable fractional digestion rates to describe ruminal in situ digestion.

Using a first-order model to describe ruminal in situ digestion implies that the rate of digestion is affected only by the quantity of potentially digestible substrate remaining. Other factors, like the microbial efficacy for digesting substrate, are assumed to be constant. However, microbes are not only the cause but also the result of digestion, being one of the digestion end-products. Two sigmoidal models (a logistic and a Gompertz-like model) were derived from a general digestion function in which the rate of digestion equals the product of the quantity of potentially digestible substrate remaining and a non-constant fractional rate of digestion (microbial efficacy function). The models were compared with a first-order model with a discrete lag time. The logistic model specifically accounted for the conversion of substrate mass to microbial mass, but did not describe microbial migration between the substrate and the ruminal fluid. In contrast, the Gompertz-like model assumed that the change in microbial efficacy was only time-dependent. There was little difference between models in estimates of scale parameters, but the asymptotic microbial efficacy was consistently higher for the logistic model than for the other models. Estimates of discrete lag time in the first-order model were biased towards obtaining values identical to the independent variable. Scale estimators appeared to be more robust than kinetic estimators. Lack-of-fit was present for most model-data set combinations. The similar patterns of residuals between models suggested that a four-parameter model may be insufficient to describe the data. It was concluded that if a four-parameter model is to be used, the model with a discrete lag time would be the least biologically appropriate.

Animal Feed↗

PubMed1994

Forage level and particle size effects on orchardgrass digestion by steers: II. Ruminal digestion kinetics of cell wall components.

Four steers (502 +/- 49 kg) with ruminal cannulas were used in a 4 x 4 Latin square experimental design with a 2 x 2 factorial arrangement of treatments to determine the effects of the dietary forage:concentrate ratio (96:4 and 60:40) and forage particle size (long hay and coarsely ground hay) on in situ ruminal digestion kinetics of orchardgrass hay DM and cell wall neutral monosaccharides, uronic acids, acetyl groups, and hydroxycinnamic acids. Dacron in situ bags containing orchardgrass hay were fermented for 0, 4, 8, 12, 18, 24, 48, and 96 h. Digestion profiles of DM and cell wall monomers in undigested residues recovered from the rumen were analyzed using a first-order, exponential equation to estimate the indigestible fraction (fi), the insoluble, potentially digestible fraction (fd), and the fractional rate constant (kd) of digestion of fd. Initial results indicated that fi was not consistently influenced by diet fed to the steers; thus, in situ digestion profiles were analyzed to estimate single fi and fd values common to all steers and diets and different estimates of kd for each steer x diet combination (16 total). Estimates of fi (percentage of original) for cell wall components were ranked in the following order: galactose (12.6), ferulic acid (13.9), arabinose (14.5), total uronic acids (15.4), glucose (19.8), xylose (28.4), p-coumaric acid (34.6), and acetyl groups (35.8).(ABSTRACT TRUNCATED AT 250 WORDS)

Animal Feed↗

PubMed1993

Digestion kinetics of alfalfa and wheat straw assuming heterogeneity of the potentially digestible fraction.

Although it is recognized that the potentially digestible fraction of substrates in the rumen is heterogeneous in composition, most deterministic models that describe ruminal in situ digestion assume existence of only one or two homogeneous fractions of potentially digestible material. Alternatively, a stochastic model based on heterogeneity of substrate has been developed, although its validity has not been determined. To evaluate such a model, alfalfa hay and wheat straw were physically fractionated by dry sieving. Dacron bags containing these fractions were incubated in the rumen of a steer and the residue that remained was analyzed sequentially for DM, NDF, ADF, ADL, and acid detergent insoluble ash. Digestion kinetics of chemical fractions were determined by simultaneous analysis of the digestion profiles of DM, NDF, ADF, ADL, and acid detergent insoluble ash. The weighted mean and variance of the fractional digestion rate constant were .083 h-1 and 4.7 x 10(-4) h-2 for alfalfa and .021 h-1 and 2.4 x 10(-5) h-2 for wheat straw, respectively. In contrast, fitting DM data to a stochastic model assuming heterogeneous rates, the mean and variance of the fractional digestion rate were .078 h-1 and 8.3 x 10(-11) h-2 for alfalfa and .018 h-1 and 5.3 x 10(-12) h-2 for wheat straw, respectively. Because the estimates of the variance approached zero for the stochastic model, it is implied that this model reduced to a model involving a single fractional digestion rate. It is concluded that parameter estimates obtained from a stochastic model do not necessarily have a biological meaning.

Animal Feed↗

PubMed1991

A compartmental model to analyze ruminal digestion.

In contrast to digestion models that include a discrete lag phase, a compartmental digestion model was proposed. It assumed the existence of a lag compartment and a digestion compartment. Substrate present in the digestion compartment was subject to first-order kinetics digestion. Flow of substrate from the lag compartment to the digestion compartment was proposed to be a first-order process and likely was affected by hydration of substrate, bacterial attachment, and colonization. The proposed model was compared with models that assumed the existence of a discrete lag phase. Parameter estimates for these models were obtained either through logarithmic transformation of data or nonlinear regression. Statistically, there was no difference between the compartmental model and the nonlinear model with a discrete lag phase. Differences in parameter estimates between these two models were small. Residual mean squares were higher for the logarithmically transformed models. Differences in parameter estimates between these models and the compartmental model depended on the structure of the experimental data. In a number of cases, the nonlinear parameters of the compartmental model converged to the same value, resulting in a different interpretation of the model. Residual mean squares for predicting rate of disappearance were lowest for the compartmental model.

Animals↗