Ruminex Information Enterprises of Canada

Moving Rumen Modeling Ahead
Port Coquitlam BC V3B 1G3
Canada
Toll free: +011-2369836419

Phone: +011-236-983-6419
Fax: 16049419022
E-Mail: This e-mail address is being protected from spam bots, you need JavaScript enabled to view it

Description:

      As an introduction, Ruminant (small and large) Class Animal Livestock continue to have a unique niche in our diet of animal-based products for foods compared to other classes including pork, chicken, eggs and fish including vegan choices from cropping foods, from the basis of non-conventional fibre-based feed types secondary to monogastric feeding and human foods and now with the developments of enzyme processing technology and recyclability of byproducts from food crops and the need for sustainability in feeding supplies. This "niching" has now deepened as it aspires to the exploration/settlement of Outerspace (in planned orbiting stations, lunar landed stations and even beyond to Mars, for the far future) despite the physical logistics and challenges for supplying, animal housing and their maintenance needs demanding the economy of recyclable outputs/inputs to support the principle of sustainability and for supporting a policy for those dietary preferences or choices by personnel and their nutrition or food consumption and lifestyle habits.  

     We are planning a larger project using mathematica to elaborate on prediction modeling from earlier NRC Guidelines to Ruminant Feeding Using Both Basic Feeding Rations for Forage, Concentrate and Pre-Mix and the resulting Nutrient Profile for Digestion Post-Ruminally and Conversely what to feed in ration components and in what proportions given the Nutrient Requirements per Ruminant Livestock Class and Productive Level and Type (e. g. Growth, Finishing, Pregnancy, Lactation).

    Modeling stipulates that: 

1.) The Overall Schema is INtake = OUTputs (in dynamic equilibrium).

2.) It will require description of the Kinetics of Transport Processes given the Liquids, Solids and nature of the Biofilms.

3.) It will require description of the Kinetics of Rxn. Transformation and Stochiometry.

4.) It will require knowledge of Biochemistry of Stochiometry regards Biomass Synthesis, other Endproducts Synthesis and Escape Residuals from Feed INtake source.

5.) More complicatingly are Bulk or Mass Transfer Notions for the Rumen Content Digesta During Digestion. 

6.) Enumeratively the INputs = fibre (given forage maturity or cut) + CHOs/sugars + organic acids (silage) + protein/non-protein N (e. g. amides, amines, nucleic acids) + fats or oils

7.) Enumeratively the OUTputs = VFAs (SCFAs) + NH4 + Organic Biomass Wet Matter + Escape of Feed or Residuals

8.) Now, the Biggest Unknown of Quantitative Modeling Using the Microbial Ecosystem of the Rumen might require "guestimates" with Quantitative Distribution Descriptions of Populations and their Subpopulations in Real Time rather than a more vague "Black Box" approach. Flash frozen pictures of samplings in time can be now enumerated subpopulationally based on their unique ribosomal signature per culture to enumerate them by cell counting in the rumen.

9.) Specification of Ration and Nutrient Components as a Given for Forage (hay, silage, grazed): Grain (whole or pelleted) and the Protein/Energy ratio (P/E).

10.)  The Overall "Conversion" from INputs to OUTputs to the Duodenum are thus:  Overall Description (Qualitative) of Rumen Processing or Digestion:  1) CHO, Fats, P, NPN (including Urea-N from saliva and Rumen Wall); 2) The Cycle of Energy Bearing Nutrients Producing VFA Endproducts and ATP (currency of energy for cell metabolism) and then the INput nutrients being broken down synthesized with ATP to Microbial Cell Biomass; 3) the Residual Feed Biomass is Processed to remove to the Duodenum while the VFAs exit through the rumen wall and so with NPN (NH4) through via Urea-N to the liver/saliva and back into the rumen cavity; 4) the OUTput also comprises Microbial Cells + Residual Feed Material and Including P + CHO, oligosaccharides, simple sugars + Fats + NPN.  

11.)  We are featuring here a new and unique occurence of fast forward activation (FFA) in microbial metabolism that we bellieve is just the beginning for super selective ecological environments like the rumen and other environments that pose harsher conditions than normal such as hot undersea vents on the Ocean's floor and whose kinetics for their protein polymerases and 'catalytic' peptides which are allosteric, opposite to that of non-competitive (allosteric-type) inhibition using the basic equation:

     v (rate or velocity of rxn) = k [S]2 * [Polymer]0 * [A],    Eqn. [1],

where k=rate constant of this second order rxn, [A]=activator or peptide 'catalytic' player or agent, [S]=monomeric amino acid concentration of which there are 21 independent-acting pools for each amino acid type which can vary with post-prandial, diurnal intake in the rumen milieu and [Polymer] is the primer/polymer concentration by extension and represents a constant value.

    Here is the model on which Eqn. [1] is based upon as given, previously:

    [E] + [S] <=> [E][S] -> [P] 

    ^                       ^

   || +[A]               || +[A]

   v           +[S]      v

  [E][A]    <=>  [E][S][A]

E. g. s. of other classes of microbes are: 1) lithotrophs (ion spp. for energy), 2) autotrophs (inorganic cpds. for energy), phototrophs (hv or light as energy) and our own heterotrophs (using carbon-based substrates for energy).

Furthermore, there is a stipulation that allosteric inhibtion is probably highly coordinated within tertiary subunit structure in the protein polymerase. Further studies are needed to elucidate protein polymerases in hosts such as ruminal proteolytics, fibrolytics and mesophilic sludge (municipal waste) digesters.

It is predicted that AI (artificial intelligence) computing will be required to handle Data Processing (DP) in terms of Capacity or Quantity, Real-Time Calculation and Real-Time Desciption for a Live Streamed Process Run representing Rumen Digestion for our Rumen Model or construct.

(c) 2026-2059. D. A. Flores. Skye Blue Internet.  Port Coquitlam, Brit. Columbia, V3B 1G3 Canada.

Last update of this entry: April 03, 2026