Understanding your reports

Once you have completed a Dynametrix scan you’ll be ready to review your report. These notes are designed to give you an overview of the information that you will receive and an example of a report and actions.

Dynametrix analyses the carbohydrate degradation of TMR and corn silage samples once they’re inside the rumen, by predicting gas production. The algorithms within Dynametrix split the gas production profile into contributions from quickly degraded carbohydrates, and slowly degraded carbohydrates. How well-matched – or synchronous – these contributions are, determines the performance level of the ration and the expected milk yield that can be supported, both reported by Dynametrix.

Typical on-farm observations and practical ration adjustments are suggested by the software and provided in the report. Dynametrix predicts a novel assessment of fermentation efficiency, known as ‘apparent partitioning factor’ (or ‘aPF’). This ‘gearing’ indicates which direction the fermentation needs to be driven to achieve improved production, without incurring rumen imbalances along the way. Providing a comprehensive suite of proximate nutrients, Dynametrix also predicts soluble protein levels, organic matter digestibility, undigested NDF (uNDF 48) and microbial biomass. 

Dynametrix is a unique combination of NIR (both miniature and laboratory-based) to analyse the samples, artificial intelligence to build the predictions, and a unique reporting capability to deliver the results. 

Example Dynametrix Report

Click on the link to see an example Dynametrix report and in the section below read more about the biochemistry that powers this innovation.

Click here

1.0 Microbial Biomass Production (mg/g)

Microbial Biomass Production (MBP) is a measure of the increase in microbial biomass over 48 hours of fermentation. Higher MBP values are associated with higher milk production.

1.0 Microbial Biomass Production (mg/g)

If the dry matter intake (DMI) of the diet is known, it is possible to convert MBP to estimated grams of rumen microbial protein produced

2.0 Potential for mixing error

This is a simple measure to confirm that the mineral analysis of the TMR is within a typical range. If the result is at the extremes of the scale, this can indicate that mineral addition has not been implemented correctly into the mix. This parameter can also indicate how well the TMR has been mixed and distributed within the mixer wagon.

3.0 TMR or Corn Silage (CS) types

Each TMR or CS type has specific characteristics in both what we are likely to see in cow performance, and what we might consider as actions for improvement if required. To see  the 4 types and their typical observations, click below:

The four types

4.0 Type Probabilities

Type probabilities show the expected dominant fermentation type. This is based on the digestion rate estimation, using machine learning models (AI). It is possible for more than one probability to be reported, given that there are similarities between the different TMR types, but the AI models report the type with the highest likelihood.

5.0 Gas Curve

  • Black: total gas produced 
  • Green: gas produced from the slow pool (cellulose / hemicellulose) 
  • Orange: gas produced from the fast pool (sugars, starch, soluble fibre). Greater than 40ml of gas indicates increased acetate production (which produces a high level of gas) and lowered propionate production (which produces minimal gas, and more ATP) arising from the fast pool nutrients. 
  • 20-hour timepoint: 20 hrs and less (as indicated by the dashed line on the graph) is where efficiencies can be gained. Digestion within this period (0-20 hours) has the greatest impact on rumen output. The report shows the percentage of total gas produced by 20 hours: this is a useful comparison across different reports, showing the different rates of gas release. 

6.0 uNDF48 (% DM)

This represents the percentage of undigested NDF after 48 hours within the rumen, measured via gravimetric analysis and modelled by artificial intelligence.

6.0 uNDF48 (% DM)

48 hours is the historic default value for rationing models.

7.0 aPF (Apparent Partitioning Factor )

aPF is a measure of fermentation efficiency and also indicates the direction of the fermentation. aPF is calculated as: 

•    (short chain VFA yield + microbial protein production) / total gas production.  

7.0 aPF (Apparent Partitioning Factor )

Higher aPF values indicate fermentation patterns yielding relatively greater proportions of propionate and butyrate and lesser proportions of acetate, carbon dioxide, and methane.  This will yield a greater supply of ATP, which could support greater microbial growth.  However, acetate is a key substrate in the formation of milk fat, requiring a balanced approach to dietary manipulation of fermentation end products.

8.0 Time to max rate (hr; by pool)

The difference between the time lags to reach maximum degradation rate for the fast and slow pools indicates digestive synchrony. Field experience suggests that when the difference between “time to max” for the fast and slow pools exceeds 10 hours, lowered milk production and/or milk components can result.

8.0 Time to max rate (hr; by pool)

A wide difference may indicate the need for a more intermediate source of energy, such as dry corn (to slow the fast pool Kd) or more corn silage and/or higher quality alfalfa/grass (to increase the slow pool Kd).

9.0 Degradation rate for Fast Pool, Slow Pool and C:B1, C:B2, C:B3 3,4

Fast Pool Kd (%/hr)

The fast pool rate (Kd) is derived from the maximum rate of degradation per hour of silage acids, sugar, rapidly degradable starch (B1), and soluble fibre (B2).

Slow Pool Kd (%/hr)

The slow pool rate (Kd) is derived from the maximum rate of degradation per hour of the more slowly degraded B3 (NDF) fibre pool (hemicellulose, cellulose) and due to its heterogeneous nature, may also include slowly degraded starch. 

9.0 Degradation rate for Fast Pool, Slow Pool and C:B1, C:B2, C:B3 3,4

C:B1, C:B2 and C:B3 Kd (%/hr)

Carbohydrate pool-specific digestion rates (Kd) are the calculated maximum rates of degradation per hour for the B1, B2 and B3 carbohydrate pools. Note that these pools should not be considered as exclusive, due to the heterogeneous nature of nutrients which can exist in both the fast and slow pools. Also note that digestion rates are reported as normalized specific rates and not actual rates.

10.0 Dynamic Rates table

The table shows changes in digestion rate (Kd) over time, driven by changes in fermentation substrate (i.e. the creation of intermediate compounds). As an example, two ingredients could show the same digestion rate at 6 hours but one could remain at this rate for several hours whilst the other reduces immediately after 6 hours. The two ingredients are then biologically different, despite perhaps having the same name and similar digestion rate at a set time point. They should therefore be considered differently in ration modelling: the table can be used to identify the optimal time point digestion rate to use as the basis of a diet formulation.

11.0 aOMD

Apparent organic matter digestibility (aOMD) represents the percentage of organic matter digested. Sometimes this value can be overestimated in the Fermentrics system because the batch system is designed to not run out of protein. The 2-pool gas production is highly correlated with aOMD, but the relationship must be considered: a diet could produce a large pool of gas (likely from acetate), but do so very slowly. Therefore aOMD would be high, but MBP low.

12.0 Soluble protein

Soluble protein by buffer borate (BB) method5 is the traditional wet chemistry approach to determining feedstuff soluble protein levels.