ficoEst–一种估计养殖鱼类身体成分的工具

IF 3.6 2区 农林科学 Q2 AGRICULTURAL ENGINEERING
Filipe Soares , Andreia Raposo , Rodrigo Mendes , Marina Azevedo , Jorge Dias , Ana Nobre , Luís E.C. Conceição , Tomé Silva
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引用次数: 0

摘要

ficoEst–鱼类成分估计器是一个公共网络工具,用于估计养殖鱼类的全身接近成分(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)、贫鱼(Argyrosomus regius)、虹鳟(Onchorhynchus mykiss)、大西洋鲑鱼(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)来估计鱼类的身体成分,包括粗蛋白质、粗脂质、水、灰分、磷和能量。模型在用于执行估计的输入数据方面有所不同。BC1模型只考虑体重,BC2模型同时考虑体重和水,BC3模型将体重、水和灰烬作为输入。模型评估结果表明,将水和灰烬作为体重的额外输入(BC3模型)显著提高了预测某些身体成分(如粗脂质)的准确性(例如,根据所考虑的物种,与BC1和BC2模型相比,准确率分别高达67.9%和28.1%)。ficoEst可以作为分析方法的补充工具,以获得有关鱼类身体成分的额外信息。作为一种公共网络工具,ficoEst有可能成为有兴趣估计养殖鱼类身体成分的研究人员和养鱼户的宝贵资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ficoEst – a tool to estimate the body composition of farmed fish

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.

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来源期刊
Aquacultural Engineering
Aquacultural Engineering 农林科学-农业工程
CiteScore
8.60
自引率
10.00%
发文量
63
审稿时长
>24 weeks
期刊介绍: Aquacultural Engineering is concerned with the design and development of effective aquacultural systems for marine and freshwater facilities. The journal aims to apply the knowledge gained from basic research which potentially can be translated into commercial operations. Problems of scale-up and application of research data involve many parameters, both physical and biological, making it difficult to anticipate the interaction between the unit processes and the cultured animals. Aquacultural Engineering aims to develop this bioengineering interface for aquaculture and welcomes contributions in the following areas: – Engineering and design of aquaculture facilities – Engineering-based research studies – Construction experience and techniques – In-service experience, commissioning, operation – Materials selection and their uses – Quantification of biological data and constraints
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