Abstract
In young calves, intake of milk replacer is combined
with feeding of solid feed. The initiation of solid feed
intake stimulates rumen development, and over time
nutrient yield per unit of solid feed intake increases.
However, the interactions between nutrient intake from
milk replacer and from solid feed in terms of implications
for growth as well as animal health and rumen
development have only recently been investigated (e.g.,
Berends et al. 2012). Of particular interest was the
observation that NDF digestibility, but not the digestibility
of other components of the diet, increased with
age and BW when intake level (g kg 1 BW d 1) was
held constant. In order to better understand these
interactions, an existing dairy cattle rumen fermentation
model (Dijkstra et al. 1992), previously modified for use
with finishing beef cattle (Ellis et al. 2014), was adapted
to simulate fermentation and digestion in calves. Areas
of the model evaluated included prediction of rumen
volume (VRu), rumen fractional passage rate (kp), pH
and nutrient digestibility. The evaluation database size
varied depending on the predicted variable of interest
due to inconsistent availability of observed data. However,
the average BW of calves in the full dataset (41
treatments from seven studies) was 143 (99.3) kg, and
DMI was 1.1 (90.15) kg d 1. Model predictions were
evaluated by concordance correlation coefficient (CCC)
analysis. In order to represent the development of the
rumen microbial population upon initiation of solid
feeding, the cellulolytic enzyme activity data of Sahoo
et al. (2005) was used to scale the maximum fractional
rate of fibre fermentation, relative to its value for a
mature ruminant, via an equation based on cumulative
DMI. This modification allowed the model to predict
the directional change in NDF digestibility observed by
Berends et al. (2012) (46% at 108 kg and 56% at 164 kg
BW), although the magnitude of change was less (47 and
50%, at 108 kg and 164 kg BW, respectively). To
improve simulated survival of fibrolytic microbes within
the rumen, kp(solids) was divided into kp(forage) and
kp(concentrate), with the corresponding division of
substrate pools. The variable VRu was predicted with a
CCC of 0.69, kp(forage) with CCC0.49 and kp(concentrate)
with CCC0.61. The model over-predicted
pH with a CCC0.33. Lack of representation of the
development of rumen motility and presence of lactic
acid may account for biased predictions of kp and pH,
respectively. Overall, the model performed reasonably
well on these data, but results also highlight areas for
further developments.
Original language | English |
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Title of host publication | Proceedings of the 2015 Meeting of the Animal Science Modelling Group |
Editors | J. France, E. Kebreab, J.A. Metcalf, J. Dijkstra |
Pages | 644-644 |
Volume | 95 |
Publication status | Published - 2015 |