AME values in black soldier fly meal for quail
A meta-analysis of the equations used to predict metabolizable energy values in black soldier fly (Hermetia illucens)meal used in Japanese quail
The main concern regarding the future of food supply and agriculture focuses on whether global systems will be able to feed humanity sustainably by 2050. While managing and accommodating the demand for agricultural commodities.
In recent years,insects have been identified as a promising source of protein and energy for animal feed.
Insect use in poultry diets presents itself as an attractive alternative for various reasons, such as:
Several insect species have been tested as ingredients in bird feed, with black soldier fly (Hermetia illucens) larvae presenting itself as one of the most promising options. Their strong potential as alternative feed ingredients is based on the possibility to control their lifecycle and achieve their mass production. In addition to this, black soldier fly larvae contain large amounts of protein, lipids and essential amino acids such as methionine and lysine.
However, having reliable information on the nutrient content and digestibility of black soldier fly larvae is essential for the adequate formulation of diets. The application of in vivo assays to determine BSFL meal digestibility represents an expensive, time-consuming, and impractical tool through which feed mills can obtain accurate estimates for feed formulation. [register]
Predicting the apparent metabolizable energy content (AME) of an ingredient based on chemical composition can be a useful and practical method for obtaining accurate values for diet formulation. In fact, prediction equations for various ingredients have already been published.
However, no AME prediction equation for black soldier fly larval meal in Japanese quail has been reported thus far.
Accurate prediction equations can be obtained through the systematic analysis of quantitative findings from various studies. This is also known as a meta-analysis.
Meta-analysis bases itself on the processing of data derived from several published studies to build a statistical model that can explain those results. Thus, meta-analysis can produce accurate prediction equations to calculate the AME values of black soldier fly meal.
The study group on quail nutrition (GENCO) at the State University of Maringá, together with the study group on integrative biology and non-ruminants (BIOMODEL) at the State Universit...
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