The database serves as a critical tool for feed formulators and animal nutritionists to optimize livestock diets. Its current version (6.0) includes several specialized capabilities: Academia.edu Extensive Data Points : It contains nutritional data from over 1.2 million samples collected globally, resulting in more than 68 million analytical results Ingredient Coverage : The platform provides detailed profiles for over 140 feed ingredients
Encountering "aminodat" teaches us a valuable lesson about flexible reading. When a word defies dictionary lookup, one must rely on context, etymology, and logical inference. In academic writing, if a term is novel, it should be defined upon first use. In casual communication, asking for clarification ("Did you mean amino data?") often resolves the ambiguity. aminodat
The "hero" of this story is the data itself, which allows farmers to: The database serves as a critical tool for
At first glance, "aminodat" resembles a compound word. The prefix "amino-" is scientifically robust, referring to the amine functional group (-NH₂), which is foundational in organic chemistry and biochemistry. Amino acids, for example, are the building blocks of proteins. The suffix "-dat" is more ambiguous. It could be an abbreviation for "data" (common in computing, e.g., "dat file" or "dat set") or a truncated form of "datum." Alternatively, it might be a root from another language, such as the Latin "datum" (something given) or even a phonetic rendering of "that" in informal English. In academic writing, if a term is novel,
The effectiveness of Aminodat lies in its ability to stimulate muscle protein synthesis (MPS). MPS is a critical process that occurs in the muscles, where amino acids are used to build new proteins. This process is essential for muscle growth, repair, and maintenance.
: A specialized version providing nutrient and amino acid content tables specifically for the aquaculture industry.
Provides coefficients that estimate the proportion of amino acids actually absorbed by the animal, which is a more accurate predictor of performance than total amino acid levels.