| Records |
| Author |
Kipling, R.P.; Bannink, A.; Özkan Gülzari, Ş.; Van Middelkoop, J. |
| Title |
Editorial |
Type |
Journal Article |
| Year |
2016 |
Publication |
Advances in Animal Biosciences |
Abbreviated Journal |
Advances in Animal Biosciences |
Volume  |
7(03) |
Issue |
03 |
Pages |
223 |
| Keywords |
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| Abstract |
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| Address |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
2040-4700 |
ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
LiveM, ft_macsur |
Approved |
no |
| Call Number |
MA @ admin @ |
Serial |
4878 |
| Permanent link to this record |
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| Author |
Bannink, A.; van Lingen, H.J.; Ellis, J.L.; France, J.; Dijkstra, J. |
| Title |
The contribution of mathematical modeling to understanding dynamic aspects of rumen metabolism |
Type |
Journal Article |
| Year |
2016 |
Publication |
Frontiers in Microbiology |
Abbreviated Journal |
Frontiers in Microbiology |
| Volume |
7 |
Issue |
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Pages |
1820 |
| Keywords |
lactating dairy-cows; milk urea concentration; fatty-acid production; ruminal fermentation; mechanistic model; holstein cows; beef-cattle; stoichiometric parameters; methane production; feeding frequency |
| Abstract |
All mechanistic rumen models cover the main drivers of variation in rumen function, which are feed intake, the differences between feedstuffs and feeds in their intrinsic rumen degradation characteristics, and fractional outflow rate of fluid and particulate matter. Dynamic modeling approaches are best suited to the prediction of more nuanced responses in rumen metabolism, and represent the dynamics of the interactions between substrates and micro-organisms and inter-microbial interactions. The concepts of dynamics are discussed for the case of rumen starch digestion as influenced by starch intake rate and frequency of feed intake, and for the case of fermentation of fiber in the large intestine. Adding representations of new functional classes of micro-organisms (i.e., with new characteristics from the perspective of whole rumen function) in rumen models only delivers new insights if complemented by the dynamics of their interactions with other functional classes. Rumen fermentation conditions have to be represented due to their profound impact on the dynamics of substrate degradation and microbial metabolism. Although the importance of rumen pH is generally acknowledged, more emphasis is needed on predicting its variation as well as variation in the processes that underlie rumen fluid dynamics. The rumen wall has an important role in adapting to rapid changes in the rumen environment, clearing of volatile fatty acids (VFA), and maintaining rumen pH within limits. Dynamics of rumen wall epithelia and their role in VFA absorption needs to be better represented in models that aim to predict rumen responses across nutritional or physiological states. For a detailed prediction of rumen N balance there is merit in a dynamic modeling approach compared to the static approaches adopted in current protein evaluation systems. Improvement is needed on previous attempts to predict rumen VFA profiles, and this should be pursued by introducing factors that relate more to microbial metabolism. For rumen model construction, data on rumen microbiomes are preferably coupled with knowledge consolidated in rumen models instead of relying on correlations with rather general aspects of treatment or animal. This helps to prevent the disregard of basic principles and underlying mechanisms of whole rumen function. |
| Address |
2017-01-06 |
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Place of Publication |
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| Language |
English |
Summary Language |
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Original Title |
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Series Issue |
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Edition |
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| ISSN |
1664-302x |
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| Notes |
LiveM, ft_MACSUR |
Approved |
no |
| Call Number |
MA @ admin @ |
Serial |
4932 |
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| Author |
Rusu, T. |
| Title |
Impacts of climate change on agricultural technology management in the Transylvanian Plain, Romania |
Type |
Conference Article |
| Year |
2016 |
Publication |
Journal of Earth Science & Climatic Change |
Abbreviated Journal |
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| Volume |
7 (5) |
Issue |
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Pages |
Suppl. 96 |
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Conference |
5th International Conference on Earth Science & Climate Change, 25–27 July 2016, Bangkok |
| Notes |
CropM |
Approved |
no |
| Call Number |
MA @ admin @ |
Serial |
5022 |
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| Author |
Blanco-Penedo et al. |
| Title |
Data driven dairy decision for farmers |
Type |
Report |
| Year |
2016 |
Publication |
FACCE MACSUR Reports |
Abbreviated Journal |
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| Volume |
8 |
Issue |
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Pages |
SP8-2 |
| Keywords |
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| Abstract |
Conference poster PDF |
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Approved |
no |
| Call Number |
MA @ admin @ |
Serial |
4855 |
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| Author |
Deppermann et al. |
| Title |
Food and nutrition security in Europe – a quantification of multi-stakeholder scenarios |
Type |
Report |
| Year |
2016 |
Publication |
FACCE MACSUR Reports |
Abbreviated Journal |
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| Volume |
8 |
Issue |
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Pages |
SP8-5 |
| Keywords |
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| Abstract |
Conference presentation PDF |
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LiveM2016: International livestock modelling conference – Modelling grassland-livestock systems under climate change |
| Notes |
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Approved |
no |
| Call Number |
MA @ admin @ |
Serial |
4850 |
| Permanent link to this record |
