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...
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Online Access: | http://hdl.handle.net/10400.1/20163 https://doi.org/10.1016/j.aquaeng.2023.102364 |
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ftunivalgarve:oai:sapientia.ualg.pt:10400.1/20163 2023-12-24T10:15:06+01:00 ficoEst – a tool to estimate the body composition of farmed fish Soares, Filipe Raposo, Andreia Mendes, Rodrigo Azevedo, Marina Dias, Deborah Nobre, Ana Conceição, Luís E. C. Silva, Tomé 2023 http://hdl.handle.net/10400.1/20163 https://doi.org/10.1016/j.aquaeng.2023.102364 eng eng Elsevier 0144-8609 http://hdl.handle.net/10400.1/20163 doi:10.1016/j.aquaeng.2023.102364 1873-5614 restrictedAccess Fish farming Aquaculture Body composition Mathematical modelling article 2023 ftunivalgarve https://doi.org/10.1016/j.aquaeng.2023.102364 2023-11-29T01:05:03Z 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. European Union through FEDER/ERDF 47175_FICA info:eu-repo/semantics/publishedVersion Article in Journal/Newspaper Atlantic salmon Salmo salar Universidade do Algarve: Sapienta Aquacultural Engineering 103 102364 |
institution |
Open Polar |
collection |
Universidade do Algarve: Sapienta |
op_collection_id |
ftunivalgarve |
language |
English |
topic |
Fish farming Aquaculture Body composition Mathematical modelling |
spellingShingle |
Fish farming Aquaculture Body composition Mathematical modelling Soares, Filipe Raposo, Andreia Mendes, Rodrigo Azevedo, Marina Dias, Deborah Nobre, Ana Conceição, Luís E. C. Silva, Tomé ficoEst – a tool to estimate the body composition of farmed fish |
topic_facet |
Fish farming Aquaculture Body composition Mathematical modelling |
description |
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. European Union through FEDER/ERDF 47175_FICA info:eu-repo/semantics/publishedVersion |
format |
Article in Journal/Newspaper |
author |
Soares, Filipe Raposo, Andreia Mendes, Rodrigo Azevedo, Marina Dias, Deborah Nobre, Ana Conceição, Luís E. C. Silva, Tomé |
author_facet |
Soares, Filipe Raposo, Andreia Mendes, Rodrigo Azevedo, Marina Dias, Deborah Nobre, Ana Conceição, Luís E. C. Silva, Tomé |
author_sort |
Soares, Filipe |
title |
ficoEst – a tool to estimate the body composition of farmed fish |
title_short |
ficoEst – a tool to estimate the body composition of farmed fish |
title_full |
ficoEst – a tool to estimate the body composition of farmed fish |
title_fullStr |
ficoEst – a tool to estimate the body composition of farmed fish |
title_full_unstemmed |
ficoEst – a tool to estimate the body composition of farmed fish |
title_sort |
ficoest – a tool to estimate the body composition of farmed fish |
publisher |
Elsevier |
publishDate |
2023 |
url |
http://hdl.handle.net/10400.1/20163 https://doi.org/10.1016/j.aquaeng.2023.102364 |
genre |
Atlantic salmon Salmo salar |
genre_facet |
Atlantic salmon Salmo salar |
op_relation |
0144-8609 http://hdl.handle.net/10400.1/20163 doi:10.1016/j.aquaeng.2023.102364 1873-5614 |
op_rights |
restrictedAccess |
op_doi |
https://doi.org/10.1016/j.aquaeng.2023.102364 |
container_title |
Aquacultural Engineering |
container_volume |
103 |
container_start_page |
102364 |
_version_ |
1786201771264180224 |