Using Real-Time-Ultrasound to estimate body composition of tilapia (Oreochromis niloticus Linnaeus)
Autor(a) principal: | |
---|---|
Data de Publicação: | 2018 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10348/9079 |
Resumo: | The knowledge of fish composition using non-destructive methods is an important issue for nutrition, genetics and physiology fields. In this way this study was undertaken with the objective to predict tilapia fillet (Oreochromis niloticus) using real-time ultrasonography and image analysis. A heterogeneous group of tilapia (Oreochromis niloticus) was used for this experiment (n= 51, mean weight= 167.35 ± 56.09 g, range from 47.35 to 305.07 g). All animals were under mild anaesthesia, during the scanning procedure. They were scanned with a realtime ultrasound (RTU), equipped with a linear array transducer of 7.5 MHz. The RTU images were taken in six cross-sectional slices. The dorsal fillet area was determined using Fiji software. The RTU fillet weight was determined by taking into account the value of 1.0798 g/cm3 for tilapia fish muscle specific density. The correlation between determined fillet weight and volume and the RTU equivalent measurements is significant (r ranged between 0.94 and 0.96; P<0.001). The linear model can explain 89% of the variation of the fillet volume.In conclusion, the obtained results suggest that RTU and image analysis is a viable nondestructive and non-invasive method for fillet volume evaluation in Oreochromis niloticus. |
id |
RCAP_c0a7fce3f76c9d2785e488175e1b0b31 |
---|---|
oai_identifier_str |
oai:repositorio.utad.pt:10348/9079 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Using Real-Time-Ultrasound to estimate body composition of tilapia (Oreochromis niloticus Linnaeus)tilapiafillet yieldreal-time ultrasonographyThe knowledge of fish composition using non-destructive methods is an important issue for nutrition, genetics and physiology fields. In this way this study was undertaken with the objective to predict tilapia fillet (Oreochromis niloticus) using real-time ultrasonography and image analysis. A heterogeneous group of tilapia (Oreochromis niloticus) was used for this experiment (n= 51, mean weight= 167.35 ± 56.09 g, range from 47.35 to 305.07 g). All animals were under mild anaesthesia, during the scanning procedure. They were scanned with a realtime ultrasound (RTU), equipped with a linear array transducer of 7.5 MHz. The RTU images were taken in six cross-sectional slices. The dorsal fillet area was determined using Fiji software. The RTU fillet weight was determined by taking into account the value of 1.0798 g/cm3 for tilapia fish muscle specific density. The correlation between determined fillet weight and volume and the RTU equivalent measurements is significant (r ranged between 0.94 and 0.96; P<0.001). The linear model can explain 89% of the variation of the fillet volume.In conclusion, the obtained results suggest that RTU and image analysis is a viable nondestructive and non-invasive method for fillet volume evaluation in Oreochromis niloticus.O conhecimento da composição dos peixes usando métodos não destrutivos é uma questão importante para os campos da nutrição, genética e fisiologia. Desta forma, este estudo foi realizado com o objetivo de predizer o filete de tilápia (Oreochromis niloticus) utilizando ultrassonografia em tempo real e análise de imagens. Um grupo heterogéneo de tilápia (Oreochromis niloticus) foi utilizado para este trabalho (n = 51, peso médio = 167,35 ± 56,09 g, variando de 47,35 a 305,07 g). Todos os animais estavam sob anestesia leve, durante o procedimento de obtenção das imagens de ultrassom. Os animais foram examinados com um ultrassom em tempo real (UTR), equipado com uma sonda linear de 7,5 MHz. As imagens da UTR foram tiradas em seis cortes transversais. A área do filete dorsal foi determinada usando o software Fiji. O peso do filete de UTR foi determinado tendo em conta o valor de 1,0798 g / cm3 para a densidade específica de músculo de peixe tilápia. A correlação entre o peso e o volume do filete determinado e as medidas equivalentes da UTR é significativa (r variou entre 0,94 e 0,96; P <0,001). O modelo linear pode explicar 89% da variação do volume de filete. Em conclusão, os resultados obtidos sugerem que a UTR e a análise de imagens são um método não destrutivo e não invasivo viável para avaliação do volume de filete em Oreochromis niloticus2019-02-25T14:50:19Z2018-11-28T00:00:00Z2018-11-28info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10348/9079TID:202324249engGonçalves, Catarina Alexandra Peixotoinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-02T12:44:34Zoai:repositorio.utad.pt:10348/9079Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:03:48.308660Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Using Real-Time-Ultrasound to estimate body composition of tilapia (Oreochromis niloticus Linnaeus) |
title |
Using Real-Time-Ultrasound to estimate body composition of tilapia (Oreochromis niloticus Linnaeus) |
spellingShingle |
Using Real-Time-Ultrasound to estimate body composition of tilapia (Oreochromis niloticus Linnaeus) Gonçalves, Catarina Alexandra Peixoto tilapia fillet yield real-time ultrasonography |
title_short |
Using Real-Time-Ultrasound to estimate body composition of tilapia (Oreochromis niloticus Linnaeus) |
title_full |
Using Real-Time-Ultrasound to estimate body composition of tilapia (Oreochromis niloticus Linnaeus) |
title_fullStr |
Using Real-Time-Ultrasound to estimate body composition of tilapia (Oreochromis niloticus Linnaeus) |
title_full_unstemmed |
Using Real-Time-Ultrasound to estimate body composition of tilapia (Oreochromis niloticus Linnaeus) |
title_sort |
Using Real-Time-Ultrasound to estimate body composition of tilapia (Oreochromis niloticus Linnaeus) |
author |
Gonçalves, Catarina Alexandra Peixoto |
author_facet |
Gonçalves, Catarina Alexandra Peixoto |
author_role |
author |
dc.contributor.author.fl_str_mv |
Gonçalves, Catarina Alexandra Peixoto |
dc.subject.por.fl_str_mv |
tilapia fillet yield real-time ultrasonography |
topic |
tilapia fillet yield real-time ultrasonography |
description |
The knowledge of fish composition using non-destructive methods is an important issue for nutrition, genetics and physiology fields. In this way this study was undertaken with the objective to predict tilapia fillet (Oreochromis niloticus) using real-time ultrasonography and image analysis. A heterogeneous group of tilapia (Oreochromis niloticus) was used for this experiment (n= 51, mean weight= 167.35 ± 56.09 g, range from 47.35 to 305.07 g). All animals were under mild anaesthesia, during the scanning procedure. They were scanned with a realtime ultrasound (RTU), equipped with a linear array transducer of 7.5 MHz. The RTU images were taken in six cross-sectional slices. The dorsal fillet area was determined using Fiji software. The RTU fillet weight was determined by taking into account the value of 1.0798 g/cm3 for tilapia fish muscle specific density. The correlation between determined fillet weight and volume and the RTU equivalent measurements is significant (r ranged between 0.94 and 0.96; P<0.001). The linear model can explain 89% of the variation of the fillet volume.In conclusion, the obtained results suggest that RTU and image analysis is a viable nondestructive and non-invasive method for fillet volume evaluation in Oreochromis niloticus. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-11-28T00:00:00Z 2018-11-28 2019-02-25T14:50:19Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10348/9079 TID:202324249 |
url |
http://hdl.handle.net/10348/9079 |
identifier_str_mv |
TID:202324249 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799137123773710337 |