The objective of the study is to determine the nutritional value of the black soldier fly at all stages of its development cycle, as well as to predict the efficiency of feeding fly processing products to egg-producing quails by calculating rations with the inclusion of the most nutritionally valuable raw materials. Objectives: study of the nutritional value of the experimental material; development of the experiment scheme; calculation of rations according to the experimental scheme using the KormOptima software. The studies were conducted in the scientific laboratory Feed and Metabolism of the Stavropol State Agrarian University. At the first stage, analyzes were carried out to determine the nutritional value of the fly at different stages of its development from larva to dead bodies. Quality indicators were determined in accordance with approved methods. When drawing up the experiment scheme for groups of egg-producing quails, 1 and 5 % of larvae and 1 and 5 % of prepupa were added to the main ration, thereby forming 5 groups of quails, including a control group. The rations of the control and experimental groups of quails aged 55 days were calculated in accordance with the standard of GOST 28460-2014. Egg-producing quails were selected using the method of pairs of analogues with 35 heads per group. The obtained protein product turned out to be highly nutritious: crude protein – 40–45 %, crude fat – up to 42 %, this provides high energy value, which is beneficial for balancing poultry rations. The amino acid composition of the black soldier fly larvae corresponds to the amino acid profile of animal feed, especially in terms of the high content of limiting amino acids. Based on the obtained nutritional value of the experimental samples, rations for egg-producing quails were calculated. When introducing 1 and 5 % of larvae into the diet, the cost decreased by 0.58 and 3.95 %, respectively, compared to the control. When introducing prepupa into the diet at 1 and 5 %, the price decreased by 0.75 and 3.77 %, respectively.
Read full abstract