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Modelling growth and body composition in fish nutrition: where have we been and where are we going

机译:鱼类营养中的生长和身体成分建模:我们去过哪里,我们要去哪里

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Mathematical models in fish nutrition have proven indispensable in estimating growth and feed requirements. Nowadays, reducing the environmental footprint and improving product quality of fish culture operations are of increasing interest. This review starts by examining simple models applied to describe/predict fish growth profiles and progresses towards more comprehensive concepts based on bioenergetics and nutrient metabolism. Simple growth models often lack biological interpretation and overlook fundamental properties of fish (e.g. ectothermy, indeterminate growth). In addition, these models disregard possible variations in growth trajectory across life stages. Bioenergetic models have served to predict not only fish growth but also feed requirements and waste outputs from fish culture operations. However, bioenergetics is a concept based on energy-yielding equivalence of chemicals and has significant limitations. Nutrient-based models have been introduced into the fish nutrition literature over the last two decades and stand as a more biologically sound alternative to bioenergetic models. More mechanistic models are required to expand current understanding about growth targets and nutrient utilization for biomass gain. Finally, existing models need to be adapted further to address effectively concerns regarding sustainability, product quality and body traits.
机译:在估计生长和饲料需求方面,鱼营养的数学模型已被证明是必不可少的。如今,减少环境足迹和提高鱼类养殖作业的产品质量越来越引起人们的关注。这篇综述首先研究了用于描述/预测鱼类生长状况的简单模型,然后根据生物能学和营养代谢向更全面的概念发展。简单的生长模型通常缺乏生物学解释,并且忽略了鱼类的基本特性(例如,等温,不确定的生长)。此外,这些模型忽略了整个生命阶段成长轨迹的可能变化。生物能模型不仅可以预测鱼的生长,而且可以预测鱼的养殖需求和饲料产量。然而,生物能学是基于化学物质的等价能量的概念,并且具有很大的局限性。在过去的二十年中,基于营养素的模型已被引入鱼类营养文献中,并成为生物能模型的生物学上更合理的替代品。需要更多的机械模型来扩展当前对生长目标和养分利用的认识,以获取生物量。最后,需要对现有模型进行进一步调整,以有效解决对可持续性,产品质量和身体特征的关注。

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