Prediction of yield and weight of Nile tilapia fillet - doi: 10.4025/actascianimsci.v33i3.10838
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , , , , |
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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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 info:eu-repo/semantics/publishedVersion pesquisa de campo |
format |
article |
status_str |
publishedVersion |
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 |
dc.format.none.fl_str_mv |
application/pdf application/msword |
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 |
_version_ |
1799315360198950912 |