Prediction of yield and weight of Nile tilapia fillet - doi: 10.4025/actascianimsci.v33i3.10838

Detalhes bibliográficos
Autor(a) principal: Pires, Aldrin Vieira
Data de Publicação: 2011
Outros Autores: Pedreira, Marcelo Mattos, Pereira, Idalmo Garcia, Fonseca Júnior, Armando da, Araújo, Cláudio Vieira, Silva, Larissa Hélida da Silva e
Tipo de documento: Artigo
Idioma: por
Título da fonte: Acta Scientiarum. Animal Sciences (Online)
Texto Completo: https://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/10838
Resumo: The rearing of Nile tilapia (Oreochromis niloticus) and its fillet have shown a vigorous market expansion in Brazil and worldwide. Therefore, a regression model obtained from external physical parameters, of easy observation, which can predict the yield and weight of fillet, making it possible to select individuals with higher yield potential. The objective of this work was to obtain a model that allows a prediction of fillet yield and weight, based on morphometric measurements and weight. Data were collected on 890 individuals and the measured characters were: total length (TL), standard length (CP), length of the head (CC) and the stem (CTR), height of the head (CA1), lumbar height (AL), height flow (CA2), lumbar thickness (EL) and throughput (EC), body weight (PESO), fillet weight (FW) and yield of fillet (RF). A linear regression analysis was performed, with PF and RF as dependent variables. The R2 for the model of the FP was 0.80 – a satisfactory result – suggesting that the body measurements are reliable for estimating fillet weight. For the RF model, R2 was 0.16, which is not adequate to estimate fillet yield, requiring further studies in order to obtain a reliable model.
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spelling Prediction of yield and weight of Nile tilapia fillet - doi: 10.4025/actascianimsci.v33i3.10838Predição do rendimento e do peso do filé da tilápia-do-Nilo - doi: 10.4025/actascianimsci.v33i3.10838Oreochromis niloticusmorphometric relationshipsphenotypic selectionOreochromis niloticusrelações morfométricasseleção fenotípicaThe rearing of Nile tilapia (Oreochromis niloticus) and its fillet have shown a vigorous market expansion in Brazil and worldwide. Therefore, a regression model obtained from external physical parameters, of easy observation, which can predict the yield and weight of fillet, making it possible to select individuals with higher yield potential. The objective of this work was to obtain a model that allows a prediction of fillet yield and weight, based on morphometric measurements and weight. Data were collected on 890 individuals and the measured characters were: total length (TL), standard length (CP), length of the head (CC) and the stem (CTR), height of the head (CA1), lumbar height (AL), height flow (CA2), lumbar thickness (EL) and throughput (EC), body weight (PESO), fillet weight (FW) and yield of fillet (RF). A linear regression analysis was performed, with PF and RF as dependent variables. The R2 for the model of the FP was 0.80 – a satisfactory result – suggesting that the body measurements are reliable for estimating fillet weight. For the RF model, R2 was 0.16, which is not adequate to estimate fillet yield, requiring further studies in order to obtain a reliable model.A criação de tilápia-do-Nilo (Oreochromis niloticus) e o seu filé apresentam um mercado vigoroso e expansão no Brasil e no mundo. Portanto, um modelo de regressão obtido a partir de parâmetros corporais externos, de fácil observação, que prediga o rendimento e o peso do filé possibilita selecionar indivíduos com maior potencial produtivo. Objetivou-se com este trabalho obter um modelo que permita predizer o rendimento e o peso do filé, baseado em medidas morfométricas e do peso. Foram avalidos 890 indivíduos dos quais os caractéres mensurados foram: comprimento total (CT), comprimento-padrão (CP), comprimento da cabeça (CC) e do tronco (CTR), altura da cabeça (AC1), altura lombar (AL), altura caudal (AC2), espessura lombar (EL) e caudal (EC), peso corporal (PESO), peso de filé (PF) e rendimento de filé (RF). Foram realizadas análises de regressão linear, com PF e RF como variáveis dependentes. O R2 para o modelo do PF foi 0,80, demonstrando que as medidas corporais são confiáveis para se estimar o peso do filé. Já para o modelo do RF, o R2 foi de 0,16, não sendo adequado para se estimar o rendimento do filé, devendo ser desenvolvidos novos estudos para se obter um modelo mais confiável.Editora da Universidade Estadual de Maringá2011-03-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionpesquisa de campoapplication/pdfapplication/mswordhttps://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/1083810.4025/actascianimsci.v33i3.10838Acta Scientiarum. Animal Sciences; Vol 33 No 3 (2011); 315-319Acta Scientiarum. Animal Sciences; v. 33 n. 3 (2011); 315-3191807-86721806-2636reponame:Acta Scientiarum. Animal Sciences (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMporhttps://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/10838/10838https://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/10838/751375141089Pires, Aldrin VieiraPedreira, Marcelo MattosPereira, Idalmo GarciaFonseca Júnior, Armando daAraújo, Cláudio VieiraSilva, Larissa Hélida da Silva einfo:eu-repo/semantics/openAccess2024-05-17T13:04:22Zoai:periodicos.uem.br/ojs:article/10838Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciAnimSciPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAnimSci/oaiactaanim@uem.br||actaanim@uem.br|| rev.acta@gmail.com1807-86721806-2636opendoar:2024-05-17T13:04:22Acta Scientiarum. Animal Sciences (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Prediction of yield and weight of Nile tilapia fillet - doi: 10.4025/actascianimsci.v33i3.10838
Predição do rendimento e do peso do filé da tilápia-do-Nilo - doi: 10.4025/actascianimsci.v33i3.10838
title Prediction of yield and weight of Nile tilapia fillet - doi: 10.4025/actascianimsci.v33i3.10838
spellingShingle Prediction of yield and weight of Nile tilapia fillet - doi: 10.4025/actascianimsci.v33i3.10838
Pires, Aldrin Vieira
Oreochromis niloticus
morphometric relationships
phenotypic selection
Oreochromis niloticus
relações morfométricas
seleção fenotípica
title_short Prediction of yield and weight of Nile tilapia fillet - doi: 10.4025/actascianimsci.v33i3.10838
title_full Prediction of yield and weight of Nile tilapia fillet - doi: 10.4025/actascianimsci.v33i3.10838
title_fullStr Prediction of yield and weight of Nile tilapia fillet - doi: 10.4025/actascianimsci.v33i3.10838
title_full_unstemmed Prediction of yield and weight of Nile tilapia fillet - doi: 10.4025/actascianimsci.v33i3.10838
title_sort Prediction of yield and weight of Nile tilapia fillet - doi: 10.4025/actascianimsci.v33i3.10838
author Pires, Aldrin Vieira
author_facet Pires, Aldrin Vieira
Pedreira, Marcelo Mattos
Pereira, Idalmo Garcia
Fonseca Júnior, Armando da
Araújo, Cláudio Vieira
Silva, Larissa Hélida da Silva e
author_role author
author2 Pedreira, Marcelo Mattos
Pereira, Idalmo Garcia
Fonseca Júnior, Armando da
Araújo, Cláudio Vieira
Silva, Larissa Hélida da Silva e
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Pires, Aldrin Vieira
Pedreira, Marcelo Mattos
Pereira, Idalmo Garcia
Fonseca Júnior, Armando da
Araújo, Cláudio Vieira
Silva, Larissa Hélida da Silva e
dc.subject.por.fl_str_mv Oreochromis niloticus
morphometric relationships
phenotypic selection
Oreochromis niloticus
relações morfométricas
seleção fenotípica
topic Oreochromis niloticus
morphometric relationships
phenotypic selection
Oreochromis niloticus
relações morfométricas
seleção fenotípica
description The rearing of Nile tilapia (Oreochromis niloticus) and its fillet have shown a vigorous market expansion in Brazil and worldwide. Therefore, a regression model obtained from external physical parameters, of easy observation, which can predict the yield and weight of fillet, making it possible to select individuals with higher yield potential. The objective of this work was to obtain a model that allows a prediction of fillet yield and weight, based on morphometric measurements and weight. Data were collected on 890 individuals and the measured characters were: total length (TL), standard length (CP), length of the head (CC) and the stem (CTR), height of the head (CA1), lumbar height (AL), height flow (CA2), lumbar thickness (EL) and throughput (EC), body weight (PESO), fillet weight (FW) and yield of fillet (RF). A linear regression analysis was performed, with PF and RF as dependent variables. The R2 for the model of the FP was 0.80 – a satisfactory result – suggesting that the body measurements are reliable for estimating fillet weight. For the RF model, R2 was 0.16, which is not adequate to estimate fillet yield, requiring further studies in order to obtain a reliable model.
publishDate 2011
dc.date.none.fl_str_mv 2011-03-21
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv https://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/10838
10.4025/actascianimsci.v33i3.10838
url https://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/10838
identifier_str_mv 10.4025/actascianimsci.v33i3.10838
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/10838/10838
https://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/10838/751375141089
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Editora da Universidade Estadual de Maringá
publisher.none.fl_str_mv Editora da Universidade Estadual de Maringá
dc.source.none.fl_str_mv Acta Scientiarum. Animal Sciences; Vol 33 No 3 (2011); 315-319
Acta Scientiarum. Animal Sciences; v. 33 n. 3 (2011); 315-319
1807-8672
1806-2636
reponame:Acta Scientiarum. Animal Sciences (Online)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
institution UEM
reponame_str Acta Scientiarum. Animal Sciences (Online)
collection Acta Scientiarum. Animal Sciences (Online)
repository.name.fl_str_mv Acta Scientiarum. Animal Sciences (Online) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv actaanim@uem.br||actaanim@uem.br|| rev.acta@gmail.com
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