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ficoEst – a tool to estimate the body composition of farmed fish
Aquacultural Engineering ( IF 4 ) Pub Date : 2023-09-09 , DOI: 10.1016/j.aquaeng.2023.102364
Filipe Soares , Andreia Raposo , Rodrigo Mendes , Marina Azevedo , Jorge Dias , Ana Nobre , Luís E.C. Conceição , Tomé Silva

ficoEst – Fish Composition Estimator is a public web tool to estimate the whole-body proximate composition of farmed fish (https://webtools.sparos.pt/ficoest/). The tool was designed for researchers in fish nutrition and fish farmers, and is available for six commercially relevant species: gilthead seabream (Sparus aurata), European seabass (Dicentrarchus labrax), meagre (Argyrosomus regius), rainbow trout (Onchorhynchus mykiss), Atlantic salmon (Salmo salar), and Nile tilapia (Oreochromis niloticus). ficoEst uses three different types of mathematical models (BC1, BC2, and BC3) to estimate the body composition of fish in terms of crude protein, crude lipids, water, ash, phosphorus, and energy. The models differ in the input data used to perform the estimates. BC1 models consider only body weight, BC2 models consider both body weight and water, and BC3 models consider body weight, water, and ash as inputs. The model evaluation results demonstrate that considering water and ash as additional inputs to body weight (BC3 models) significantly improves the accuracy in predicting some body composition components, such as crude lipids (e.g., up to 67.9 % and 28.1 % more accurate, compared to BC1 and BC2 models, respectively, depending on the species considered). ficoEst can be used as a complementary tool to analytical methods to obtain additional information about fish body composition. As a public web tool, ficoEst has the potential to be a valuable resource for researchers and fish farmers interested in estimating the body composition of farmed fish.



中文翻译:

ficoEst – 估算养殖鱼类身体成分的工具

ficoEst – 鱼类成分估算器是一个公共网络工具,用于估算养殖鱼类的全身近似成分 ( https://webtools.sparos.pt/ficoest/ )。该工具是为鱼类营养研究人员和养鱼户设计的,可用于六种商业相关物种:金头鲷 ( Sparus aurata )、欧洲鲈鱼 ( Dicentrarchus labrax )、细鳟 ( Argyrosomus regius )、虹鳟 ( Onchorhynchus mykiss )、大西洋鲈鲑鱼(Salmo salar)和尼罗罗非鱼(Oreochromis niloticus))。ficoEst 使用三种不同类型的数学模型(BC1、BC2 和 BC3)来估算鱼类的身体成分,包括粗蛋白、粗脂肪、水、灰分、磷和能量。这些模型的不同之处在于用于执行估计的输入数据。BC1 模型仅考虑体重,BC2 模型同时考虑体重和水,BC3 模型将体重、水和灰分作为输入。模型评估结果表明,将水和灰分作为体重的额外输入(BC3 模型)可显着提高预测某些身体成分成分(例如粗脂类)的准确性(例如,与BC1 和 BC2 模型,分别取决于所考虑的物种)。ficoEst 可用作分析方法的补充工具,以获得有关鱼体成分的附加信息。作为一种公共网络工具,ficoEst 有可能成为有兴趣估算养殖鱼类身体成分的研究人员和养鱼户的宝贵资源。

更新日期:2023-09-11
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