ISSUE FOCUS 28 FEED & ADDITIVE MAGAZINE February 2024 MASTER RAW MATERIAL VARIABILITY It is well known that there can be significant variations in nutritional values between batches of raw materials, even within the same plant family. The challenge for nutritionists and feed formulators is to have reliable way to monitor and control raw materials quality so that they can be used accurately in feed formulations, allowing animal performance objectives to be met as efficiently as possible. Nowadays, NIR analysis tools are readily available to feed mills. NIR is ideally suited to complement and support quality control plans that use wet chemistry. One of the advantages of NIR analysis is that it is possible to carry out predictions, on the same spectrum, for analyses which are not commonly requested or impossible to perform in wet chemistry. This is the case for the digestibility of amino acids and energy, or the determination of phytic phosphorus. This aspect is particularly interesting, because for some raw materials, the use of table values or predictive equations may not represent the reality. For example, there isn’t a good correlation between total lysine and digestibility of lysine (SID coefficient) in soyabean meal (SBM) or corn DDGS (cDDGS) (Figure 1). This means that estimating digestible lysine from total lysine isn’t very accurate. For a soybean meal at 2.9 total lysine, the digestibility coefficient can vary from 75.6% to 97.1%. For phosphorus, it’s not possible to predict phytic Cereals and oilseeds are the main ingredients in animal feed, but they contain antinutritional factors and indigestible substrates that can harm animal performance. To improve feed digestibility, it’s important to evaluate these components precisely and consider using exogenous enzymes as a solution. OPTIMIZING THE OVERALL FEED DIGESTIBILITY: TIPS FOR CAPTURING ITS FULL NUTRITIVE VALUE Florian Bastit Global Technical Manager Applied Nutrition and Feed Technology Adisseo Baris Yavuz Global Scientific Solution Developer - Feed Digestibility Adisseo
RkJQdWJsaXNoZXIy MTUxNjkxNQ==