Hi Pirzado M.Zakria
There is a matrix for multienzymes use. The general rule is: minerals from Phytase, energy from NSP and protein from protease (as 100%). From other enzymes, we take 50-25%. This is a simplification, of course, and the composition must be considered individually. For exact calculation please ask the producer/distributor as DSM, Danisco, AB or Addiseo.
@Dr. Fiodor S. Marchenkov, totally agree, but there is also a big problem that impacts response of enzymes, most individual matrices are also evaluated under conditions that do not apply in practice, look values from phytase commercial phytases, blame 5 - 10 improvement on amino acids digestibilities at 500 ftu, but several New publications confirm papers published with Dr. Parsons lab, matrices due to secondary effects are wrong, so values from phosphorus-deficient diets are not correct to arrive conclusions, when put phosphorus levels in the right value, this is a secundary effect, we need phosphorus to absorb aminoácids, Dr. Hans Stein, showed recently, phytases release from 0 to 5 % amino acids and some times, to get that release, need more than 2000 ftus, be careful not only with cocktails, but also with individual matrices
@Alvaro Dubois Nutrient Matrix Value.
1. Matrix values describes the amount of additional nutrients that are released when you add the enzymes.
2. Nutrient matrix values indicate the amount of Metablizable energy(ME), Protein and Amino Acids that are anticipated to be released once an Enzyme is added to the feed formulation.
3 ME that can be adjusted may lie in the range of 50-125 KCal.
4. In cases, where more than one feed additive is used to adjust the ME, the maximum ME that can be adjusted would be upto 125Kcal to 150Kcal.
5. Different feed additives manufacturers claim variable ME that will be released after adding the additives.
6. Please note that aggregate ME will be maximum 150 ME that will be released from the substrate.
Dr V.Rajendra Prasad
Dear @Alvaro Dubois, the modern usage of enzymes from phytase up to muramidase faces two different perspectives for me: nutrient releases and antinutritional and allergenic mitigation effects.
Nutrient Releases are not so complex as it is possible to take the information from the lab.
Antinutritional effects reduction is more complex as even in large production units there are different sensibilities patterns, in this case, working with the big data and growth models helps a lot to properly allocate the enzymes and their combinations.
Furthermore, we are also in the time that safety margins are costing a lot, so ME per kg of live birds in each age and Lys deposition are good information for building proper confidence in the growth models calibration.
Hi Everyone. Thanks for addressing the good and the bad about formulating multiple enzymes in the same diet. As a result of the great improvements in Enzymes and other Additives, people like Dr. Frank Ivey with his Broiler Opt, and others who know how to model animals have in effect taken the problem out of the structured Linear Programs that i and others have developed over the last 40 years. And, basically, they have demonstrated that one cannot just put matrix values into the Formulation Program and hope that one gets a "usable solution" let alone a "Better Solution".
In effect we have to change the tools to allow the knowledge to get into the solution with a useable result. The good news is this is relatively easy.
The problem is not the "Better Solution". The problem is integrating your "Better Solution" with the existing Formulation Systems since they do a very good job before and after a solution is arrived at.
Looking back, it comes down to providing a way to get needed data into the matrix, adding a capability to review a solution automatically, and then, keeping a solution that somebody says is a "Better Solution".
Dear Dr. Ivey.
It's always a pleasure to read your comments, especially the ones related to the use of mathematical modeling. I do understand (at least I hope) the concept you put forward on how to establish impact of enzymes on individual ingredients' nutritional matrix. I think it might work reasonably well as long as we are dealing with very simple diets. As we increase the number of ingredients (energy/protein supplying ones) the proposed mathematics proposed becomes quite complicated in trying to separate the individual contributions. Maybe the most important reason is that you start to have large confounding between ingredient variations (ingredients going up or down together), turning any estimation heavily biased. A second problem I see is that enzymes (whatever phytase, carbohydrases, proteases, etc) do not provide only improvement in energy digestibility but also in amino acids (see Dr. Cowieson's many meta-analysis papers). You can have basically the same change in performance with different combinations of energy and amino acids (ideal protein). In this way, when considering both problems together, I have a hard time believing we can, from a trial and based only on performance impact, generate the individual ingredients' contributions to an added enzyme.
Hoping to hear your comments (and others, of course).
@Dr Pragati Salutgi You are absolutely right. The enzymes are always substrate specific. While designing the enzyme products, we always consider the general composition of diet. We only consider the type of cereals and protein sources used. Otherwise we have to design tailor-made enzymes.
Similarly, ME utilisation always depends on composition of diet because of which we always underestimate or overestimate energy values of feed. Biological variation is always there.
We should give less importance to this.