Increase nutrient digestibility
Reduce nitrogen excretion
Econase GT is a β-glucanase that improves nutrient digestibility and reduces viscosity in barley and oat-based pig and poultry diets.
EconaseXT is a beta 1-4, endo-xylanase enzyme, designed to improve the degradation of dietary fibre to maximise energy utilisation of the diet.
FinaseEC is an E. coli-derived 6-phytase developed for use in swine and poultry feeds. It helps release phosphorous, calcium and other mineral ions.
Maximum Matrix Nutrition
We developed Maximum Matrix Nutrition (MMN) following research to determine the effect of targeted enzyme application to degrade both phytate and NSP.
Quantum Blue works to unlock all six phosphorus molecules, releasing inositol and valuable nutrients that would otherwise stay bound to phytate.
Signis is a Stimbiotic, a functional class of feed additive which accelerates the development of a fibre degrading microbiome.
Tuesday, 8th June 2021
Working closely with poultry and swine producers as we do, we understand the increasing pressures they are under from regulatory bodies and consumers.
Tuesday, 1st June 2021
As one of the leading global feed additive suppliers, we are keen to ensure a greater understanding of feed ingredients. Here our experts answer some key questions about phytases and our Quantum Blue product
Monday, 29th March 2021
We have launched a free tool to assist nutritionists as they formulate animal diets. The dietary fibre calculator uses average values of global raw materials to calculate the dietary fibre content (plus other more in-depth fibre parameters) of finished animal feed.
AB Vista launches online dietary fibre calculator to help nutritionists optimise animal diets
AB Vista supports customers’ sustainability programmes with emissions reporting service
Stimbiotic product Signis’ effectiveness in pig diets recognised in peer-reviewed research paper
Achieve greater feed cost savings whilst maintaining animal performance by targeting maximum nutrient utilisation
Helping you assess feed quality to optimise animal performance