Estimating the processed value of soybeans beyond meal and oil

Kundra, Aman
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Modern high-performance nutrition focuses on sub-unit nutrients in soybean meal, like amino acids, isoflavones, and carbohydrates. Livestock feeders are more interested in the amino acid content of soybean meal, a major feed ingredient, rather than proximate composition. Depending upon their amino acid composition, soybeans have different end use values in terms of feed for different animal species. As such, the soybean processors need to rank different lots of soybeans, in terms of nutrient composition of meal that can be formulated from each lot. A model is presented that simulates the solvent extraction process of soybeans, and estimates the meal and oil composition from different soybean lots. Besides the protein and oil composition of meal, the model also estimates amino acid, isoflavones, and carbohydrates amounts in soybean meal, and fatty acid levels in soybean oil. Based on this model, a system is proposed which estimates the processed value of soybeans on the basis of amino acid composition, and end-use value as feed for a particular animal species. Since the new system considers the overall composition of soybeans in the context of its final end-use, it captured the effect of composition of soybeans on end-use value more accurately than other pricing systems based on proximate composition.

Agricultural engineering (Food and process engineering), Food and process engineering