Dragojlović Danka, Đuragić Olivera, Pezo Lato, Popović Ljiljana, Rakita Slađana, Tomičić Zorica, Spasevski Nedeljka
Institute of Food Technology, University of Novi Sad, Bulevar Cara Lazara 1, 21000 Novi Sad, Serbia.
Faculty of Technology, University of Novi Sad, Bulevar Cara Lazara 1, 21000 Novi Sad, Serbia.
Animals (Basel). 2022 May 17;12(10):1277. doi: 10.3390/ani12101277.
Edible insects are acknowledged as a valuable nutritional source and promising alternative to traditional feed ingredients, while the optimization of rearing conditions is required for their wider utilization in the animal feed industry. The main goal of this study was to compare and optimize the rearing conditions of the two species' larvae and identify the most favorable nutritive composition of the full-fat larval meal. For that purpose, (TM) and (ZM) were reared on three different substrates and harvested after three time periods. An artificial neural network (ANN) with multi-objective optimization (MOO) was used to investigate the influence between the observed parameters as well as to optimize and determine rearing conditions. The optimization of the larval rearing conditions showed that the best nutritive composition of full-fat larval meal was obtained for ZM larvae reared on a mixture of cabbage, carrot and flaxseed and harvested after 104 days. The best nutritive composition contained 39.52% protein, 32% crude fat, 44.01% essential amino acids, 65.21 mg/100 g Ca and 651.15 mg/100 g P with a favorable ratio of 1.5 of n6/n3 fatty acids. Additionally, the incorporation of flaxseed in the larval diet resulted in an increase in C18:3n3 content in all samples.
食用昆虫被认为是一种有价值的营养来源,是传统饲料成分的有前途的替代品,而要在动物饲料行业更广泛地利用它们,需要优化饲养条件。本研究的主要目标是比较和优化这两个物种幼虫的饲养条件,并确定全脂幼虫粉最有利的营养成分。为此,(TM)和(ZM)在三种不同的基质上饲养,并在三个时间段后收获。使用具有多目标优化(MOO)的人工神经网络(ANN)来研究观察到的参数之间的影响,以及优化和确定饲养条件。幼虫饲养条件的优化表明,以卷心菜、胡萝卜和亚麻籽的混合物为食并在104天后收获的ZM幼虫获得了全脂幼虫粉的最佳营养成分。最佳营养成分包含39.52%的蛋白质、32%的粗脂肪、44.01%的必需氨基酸、65.