ARTICLE 56 FEED & ADDITIVE MAGAZINE February 2021 NIR AS A TOOL TO CHARACTERIZE PHYTATE NIR technology uses near infra-red light to quickly and easily analyse ingredients and feeds to predict their nutritional value. Traditionally NIR technology has been used for routine proximate analysis such as moisture, protein and crude fibre for different applications including positive acceptance/release of ingredients and feeds and identifying trends in raw material quality to update the formulation in order to ensure consistent feed quality. Recent advances in NIR calibration technology now enable us to predict additional parameters such as reactive and total lysine for soybean meal, protein solubility index for corn and sorghum, and phytate-P. The phytate-P content varies between ingredients and also within ingredients. Figure 1 demonstrates the variation of phytate-P in and between some of the key ingredients that are used in Europe, Middle East and Africa (EMEA). The variation in phytate-P content of the raw materials inevitably causes variation in the phytate-P content of the feed. Figure 2 shows typical variation of phytate-P content for one feed compounder in EMEA. If not accounted for, in the feed formulation, variations in dietary phytate can result in an underestimation of P release by phytase that will result in non-optimal animal performance and diet cost. PHYTASE AS PART OF THE MAXIMUM MATRIX NUTRITION (MMN) STRATEGY Maximum Matrix Nutrition is a concept developed by AB Vista whereby a better understanding of enzyme matrices, and the characteristics of the ingredients employed allow the customer to better utilise additives such as enzymes and stimbiotics in least cost feed formulation. This approach doesn’t only consider the release of minerals by the phytase but also the release of other nutrients (amino acids, metabolizable energy etc.) which arise due to the combination of phytate destruction, inositol production, fibre hydrolysis and the stimulation of lower gut fermentation, all interacting between each other. 0,00 Corn (n=11,037) Barley (n=1,598) Wheat (n=16,859) Soybean - Full fat (n=718) Soybean Meal (n=12,242) Sunflower meal (n=373) Canola meal (n=6,186) Wheat bran (n=137) Cereals Protein products Cereal coproduct 0,24 0,26 0,28 0,30 0,32 0,34 0,36 03 04 05 06 07 08 09 10 11 12 02 03 04 05 06 07 08 09 10 11 12 01 03 04 2018 2019 2020 Phytate P, % Figure 2 – A box-plot showing typical monthly variation of broiler grower feed phytate-P content for a feed producer in EMEA (724 samples total).. It is interesting to note the seasonal variation of phytate-P in the feed, which could be due to differences in formulation throughout the year.
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