A modified version of the Molly rumen model to quantify methane emissions from sheep 1

We modified the rumen submodel of the Molly dairy cow model to simulate the rumen of a sheep and predict its methane emissions. We introduced a rumen hydrogen (H^sub 2^) pool as a dynamic variable, which (together with the microbial pool in Molly) was used to predict methane production, to facilitat...

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Veröffentlicht in:Journal of animal science 2015-07, Vol.93 (7), p.3551
Hauptverfasser: Vetharaniam, I, Vibart, R E, Hanigan, M D, Janssen, P H, Tavendale, M H, Pacheco, D
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Sprache:eng
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Zusammenfassung:We modified the rumen submodel of the Molly dairy cow model to simulate the rumen of a sheep and predict its methane emissions. We introduced a rumen hydrogen (H^sub 2^) pool as a dynamic variable, which (together with the microbial pool in Molly) was used to predict methane production, to facilitate future consideration of thermodynamic control of methanogenesis. The new model corrected a misspecification of the equation of microbial H^sub 2^ utilization in Molly95, which could potentially give rise to unrealistic predictions under conditions of low intake rates. The new model included a function to correct biases in the estimation of net H^sub 2^ production based on the default stoichiometric relationships in Molly95, with this function specified in terms of level of intake. Model parameters for H^sub 2^ and methane production were fitted to experimental data that included fresh temperate forages offered to sheep at a wide range of intake levels and then tested against independent data. The new model provided reasonable estimates relative to the calibration data set, but a different parameterization was needed to improve its predicted ability relative to the validation data set. Our results indicate that, although feedback inhibition on H^sub 2^ production and methanogen activity increased with feeding level, other feedback effects that vary with diet composition need to be considered in future work on modeling rumen digestion in Molly.
ISSN:0021-8812
1525-3163