Abstract
Yellow mealworm larvae(YML;Tenebrio molitor)are considered as a valuable insect species for animal feed due to their high nutritional values and ability to grow under different substrates and rearing conditions.Advances in the understanding of entomophagy and animal nutrition over the past decades have propelled research areas toward testing multiple aspects of YML to exploit them better as animal feed sources.This review aims to summarize various approaches that could be exploited to maximize the nutritional values of YML as an animal feed ingredi-ent.In addition,YML has the potential to be used as an antimicrobial or bioactive agent to improve animal health and immune function in production animals.The dynamics of the nutritional profile of YML can be influenced by multiple factors and should be taken into account when attempting to optimize the nutrient contents ofYML as an animal feed ingredient.Specifically,the use of novel land-based and aquatic feeding resources,probiotics,and the exploitation of larval gut microbiomes as novel strategies can assist to maximize the nutritional potential ofYML.Selection of relevant feed supplies,optimization of ambient conditions,the introduction of novel genetic selection procedures,and implementation of effective post-harvest processing may be required in the future to com-mercialize mealworm production.Furthermore,the use of appropriate agricultural practices and technological improvements within the mealworm production sector should be aimed at achieving both economic and envi-ronmental sustainability.The issues highlighted in this review could pave the way for future approaches to improve the nutritional value of YML.
基金项目
Regionalt Forskningsfond(RFF)Tr?ndelag(InFeed)(309859)
Nord University()
Gullimunn AS()
M?re Landbruksskole()
CEER project(2021/10345)
Norwegian Agency for International Cooperation and Quality Enhancement in Higher Education(HK-dir)()
Norwegian Partnership Program for Global Academic Cooperation(NORPART)()
Norwegian Ministry of Education and Research(MER)()
万方数据