Development and application of a mechanistic nutrient-based model for precision fish farming
This manuscript describes and evaluates the FEEDNETICS model, a detailed mechanistic nutrient-based model that has been developed to be used as a data interpretation and decisionsupport tool by fish farmers, aquafeed producers, aquaculture consultants and researchers. The modelling framework compris...
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Online Access: | http://hdl.handle.net/10400.1/19350 https://doi.org/10.3390/jmse11030472 |
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ftunivalgarve:oai:sapientia.ualg.pt:10400.1/19350 2023-05-15T15:32:42+02:00 Development and application of a mechanistic nutrient-based model for precision fish farming Soares, Filipe M. R. C. Nobre, Ana M. D. Raposo, Andreia I. G. Mendes, Rodrigo Engrola, Sofia Rema, Paulo J. A. P. Conceição, Luís E. C. Silva, Tomé S. 2023-03-28T12:56:18Z http://hdl.handle.net/10400.1/19350 https://doi.org/10.3390/jmse11030472 eng eng MDPI info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04326%2F2020/PT info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04326%2F2020/PT Journal of Marine Science and Engineering 11 (3): 472 (2023) http://hdl.handle.net/10400.1/19350 doi:10.3390/jmse11030472 2077-1312 openAccess http://creativecommons.org/licenses/by/4.0/ Aquaculture Fish nutrition Precision fish farming Mechanistic nutrient-based model Numerical model Decision-support tool article 2023 ftunivalgarve https://doi.org/10.3390/jmse11030472 2023-04-05T00:01:13Z This manuscript describes and evaluates the FEEDNETICS model, a detailed mechanistic nutrient-based model that has been developed to be used as a data interpretation and decisionsupport tool by fish farmers, aquafeed producers, aquaculture consultants and researchers. The modelling framework comprises two main components: (i) fish model, that simulates at the individual level the fish growth, composition, and nutrient utilization, following basic physical principles and prior information on the organization and control of biochemical/metabolic processes; and (ii) farm model, that upscales all information to the population level. The model was calibrated and validated for five commercially relevant farmed fish species, i.e., gilthead seabream (Sparus aurata), European seabass (Dicentrarchus labrax), Atlantic salmon (Salmo salar), rainbow trout (Oncorhynchus mykiss), and Nile tilapia (Oreochromis niloticus), using data sets covering a wide range of rearing and feeding conditions. The results of the validation of the model for fish growth are consistent between species, presenting a mean absolute percentage error (MAPE) between 11.7 and 13.8%. Several uses cases are presented, illustrating how this tool can be used to complement experimental trial design and interpretation, and to evaluate nutritional and environmental effects at the farm level. FEEDNETICS provides a means of transforming data into useful information, thus contributing to more efficient fish farming Grant agreement no. 818367; FEEDNETICS 4.0, funded by EUROSTARS-2 program; FEDER/ERDF, CRESC Algarve 2020 and NORTE 2020; PT-INNOVATION-0099; LA/P/0101/2020 info:eu-repo/semantics/publishedVersion Article in Journal/Newspaper Atlantic salmon Salmo salar Universidade do Algarve: Sapienta Journal of Marine Science and Engineering 11 3 472 |
institution |
Open Polar |
collection |
Universidade do Algarve: Sapienta |
op_collection_id |
ftunivalgarve |
language |
English |
topic |
Aquaculture Fish nutrition Precision fish farming Mechanistic nutrient-based model Numerical model Decision-support tool |
spellingShingle |
Aquaculture Fish nutrition Precision fish farming Mechanistic nutrient-based model Numerical model Decision-support tool Soares, Filipe M. R. C. Nobre, Ana M. D. Raposo, Andreia I. G. Mendes, Rodrigo Engrola, Sofia Rema, Paulo J. A. P. Conceição, Luís E. C. Silva, Tomé S. Development and application of a mechanistic nutrient-based model for precision fish farming |
topic_facet |
Aquaculture Fish nutrition Precision fish farming Mechanistic nutrient-based model Numerical model Decision-support tool |
description |
This manuscript describes and evaluates the FEEDNETICS model, a detailed mechanistic nutrient-based model that has been developed to be used as a data interpretation and decisionsupport tool by fish farmers, aquafeed producers, aquaculture consultants and researchers. The modelling framework comprises two main components: (i) fish model, that simulates at the individual level the fish growth, composition, and nutrient utilization, following basic physical principles and prior information on the organization and control of biochemical/metabolic processes; and (ii) farm model, that upscales all information to the population level. The model was calibrated and validated for five commercially relevant farmed fish species, i.e., gilthead seabream (Sparus aurata), European seabass (Dicentrarchus labrax), Atlantic salmon (Salmo salar), rainbow trout (Oncorhynchus mykiss), and Nile tilapia (Oreochromis niloticus), using data sets covering a wide range of rearing and feeding conditions. The results of the validation of the model for fish growth are consistent between species, presenting a mean absolute percentage error (MAPE) between 11.7 and 13.8%. Several uses cases are presented, illustrating how this tool can be used to complement experimental trial design and interpretation, and to evaluate nutritional and environmental effects at the farm level. FEEDNETICS provides a means of transforming data into useful information, thus contributing to more efficient fish farming Grant agreement no. 818367; FEEDNETICS 4.0, funded by EUROSTARS-2 program; FEDER/ERDF, CRESC Algarve 2020 and NORTE 2020; PT-INNOVATION-0099; LA/P/0101/2020 info:eu-repo/semantics/publishedVersion |
format |
Article in Journal/Newspaper |
author |
Soares, Filipe M. R. C. Nobre, Ana M. D. Raposo, Andreia I. G. Mendes, Rodrigo Engrola, Sofia Rema, Paulo J. A. P. Conceição, Luís E. C. Silva, Tomé S. |
author_facet |
Soares, Filipe M. R. C. Nobre, Ana M. D. Raposo, Andreia I. G. Mendes, Rodrigo Engrola, Sofia Rema, Paulo J. A. P. Conceição, Luís E. C. Silva, Tomé S. |
author_sort |
Soares, Filipe M. R. C. |
title |
Development and application of a mechanistic nutrient-based model for precision fish farming |
title_short |
Development and application of a mechanistic nutrient-based model for precision fish farming |
title_full |
Development and application of a mechanistic nutrient-based model for precision fish farming |
title_fullStr |
Development and application of a mechanistic nutrient-based model for precision fish farming |
title_full_unstemmed |
Development and application of a mechanistic nutrient-based model for precision fish farming |
title_sort |
development and application of a mechanistic nutrient-based model for precision fish farming |
publisher |
MDPI |
publishDate |
2023 |
url |
http://hdl.handle.net/10400.1/19350 https://doi.org/10.3390/jmse11030472 |
genre |
Atlantic salmon Salmo salar |
genre_facet |
Atlantic salmon Salmo salar |
op_relation |
info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04326%2F2020/PT info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04326%2F2020/PT Journal of Marine Science and Engineering 11 (3): 472 (2023) http://hdl.handle.net/10400.1/19350 doi:10.3390/jmse11030472 2077-1312 |
op_rights |
openAccess http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/jmse11030472 |
container_title |
Journal of Marine Science and Engineering |
container_volume |
11 |
container_issue |
3 |
container_start_page |
472 |
_version_ |
1766363183829745664 |