Mathematical models to predict growth, fillet traits, and composition of wild traíra, Hoplias malabaricus

Detalhes bibliográficos
Autor(a) principal: Furuya,Valéria Rossetto Barriviera
Data de Publicação: 2019
Outros Autores: Michelato,Mariana, Salaro,Ana Lúcia, Cruz,Thais Pereira da, Urbich,Allan Vinnícius, Ribeiro,Jonathan Willian Andrade, Batista,Dayane Cheritt, Furuya,Wilson Massamitu
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Zootecnia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982019000100158
Resumo: ABSTRACT This study aimed to determine the length-weight relationship and mathematical models to predict dressed and fillet weight and yield and fillet composition of wild traíra, Hoplias malabaricus (Bloch, 1794). A total of 80 marketable-sized fish from 292.28 to 2879.57 g and 32.06 to 61.19 cm were used. The length:weight ratio was estimated using the equation: W = a × L b, in which W is body weight (g) and L is length (cm). The models of dressed and fillet weight and yield and body were elaborated using first-order ( y ^ i = β 0 + β 1 x i ) or second-order ( y ^ i = β 0 + β 1 x i + β 1 x i 2 ) linear regression analyses. The value of slope b in the length:weight ratio was 3.3732 and intercept was 0.0029. The prediction equations obtained for dressed weight, fillet weight, dressed yield, fillet yield, fillet gross energy, moisture, crude protein, crude lipid, and ash were, respectively: y ^ = 0.3244 + 0.9373 W, y ^ = 0.7651 + 0.4181 W, y ^ = 939.8015 + 0.0019 W, y ^ = 420.55170 + 0.0064 W, y ^ = 997.9600 + 0.0630 W, y ^ = 810.6500 − 0.0085 W, y ^ = 184.080 − 0.0111 W, y ^ = 3.1131 + 0.0049 W, and y ^ = 10.6110 + 0.0009 W, in which W is the body weight of fish (g). We demonstrated the possibility of elaborating realistic expressions to describe degutted weight, fillet weight, and fillet composition. However, lower mathematical adjustment was observed to estimate realistic prediction of dressed and fillet yield.
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spelling Mathematical models to predict growth, fillet traits, and composition of wild traíra, Hoplias malabaricusaquaculturecarcassfishgrowth curvemeat qualityABSTRACT This study aimed to determine the length-weight relationship and mathematical models to predict dressed and fillet weight and yield and fillet composition of wild traíra, Hoplias malabaricus (Bloch, 1794). A total of 80 marketable-sized fish from 292.28 to 2879.57 g and 32.06 to 61.19 cm were used. The length:weight ratio was estimated using the equation: W = a × L b, in which W is body weight (g) and L is length (cm). The models of dressed and fillet weight and yield and body were elaborated using first-order ( y ^ i = β 0 + β 1 x i ) or second-order ( y ^ i = β 0 + β 1 x i + β 1 x i 2 ) linear regression analyses. The value of slope b in the length:weight ratio was 3.3732 and intercept was 0.0029. The prediction equations obtained for dressed weight, fillet weight, dressed yield, fillet yield, fillet gross energy, moisture, crude protein, crude lipid, and ash were, respectively: y ^ = 0.3244 + 0.9373 W, y ^ = 0.7651 + 0.4181 W, y ^ = 939.8015 + 0.0019 W, y ^ = 420.55170 + 0.0064 W, y ^ = 997.9600 + 0.0630 W, y ^ = 810.6500 − 0.0085 W, y ^ = 184.080 − 0.0111 W, y ^ = 3.1131 + 0.0049 W, and y ^ = 10.6110 + 0.0009 W, in which W is the body weight of fish (g). We demonstrated the possibility of elaborating realistic expressions to describe degutted weight, fillet weight, and fillet composition. However, lower mathematical adjustment was observed to estimate realistic prediction of dressed and fillet yield.Sociedade Brasileira de Zootecnia2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982019000100158Revista Brasileira de Zootecnia v.48 2019reponame:Revista Brasileira de Zootecnia (Online)instname:Sociedade Brasileira de Zootecnia (SBZ)instacron:SBZ10.1590/rbz4820170176info:eu-repo/semantics/openAccessFuruya,Valéria Rossetto BarrivieraMichelato,MarianaSalaro,Ana LúciaCruz,Thais Pereira daUrbich,Allan VinníciusRibeiro,Jonathan Willian AndradeBatista,Dayane CherittFuruya,Wilson Massamitueng2019-11-22T00:00:00Zoai:scielo:S1516-35982019000100158Revistahttps://www.rbz.org.br/pt-br/https://old.scielo.br/oai/scielo-oai.php||bz@sbz.org.br|| secretariarbz@sbz.org.br1806-92901516-3598opendoar:2019-11-22T00:00Revista Brasileira de Zootecnia (Online) - Sociedade Brasileira de Zootecnia (SBZ)false
dc.title.none.fl_str_mv Mathematical models to predict growth, fillet traits, and composition of wild traíra, Hoplias malabaricus
title Mathematical models to predict growth, fillet traits, and composition of wild traíra, Hoplias malabaricus
spellingShingle Mathematical models to predict growth, fillet traits, and composition of wild traíra, Hoplias malabaricus
Furuya,Valéria Rossetto Barriviera
aquaculture
carcass
fish
growth curve
meat quality
title_short Mathematical models to predict growth, fillet traits, and composition of wild traíra, Hoplias malabaricus
title_full Mathematical models to predict growth, fillet traits, and composition of wild traíra, Hoplias malabaricus
title_fullStr Mathematical models to predict growth, fillet traits, and composition of wild traíra, Hoplias malabaricus
title_full_unstemmed Mathematical models to predict growth, fillet traits, and composition of wild traíra, Hoplias malabaricus
title_sort Mathematical models to predict growth, fillet traits, and composition of wild traíra, Hoplias malabaricus
author Furuya,Valéria Rossetto Barriviera
author_facet Furuya,Valéria Rossetto Barriviera
Michelato,Mariana
Salaro,Ana Lúcia
Cruz,Thais Pereira da
Urbich,Allan Vinnícius
Ribeiro,Jonathan Willian Andrade
Batista,Dayane Cheritt
Furuya,Wilson Massamitu
author_role author
author2 Michelato,Mariana
Salaro,Ana Lúcia
Cruz,Thais Pereira da
Urbich,Allan Vinnícius
Ribeiro,Jonathan Willian Andrade
Batista,Dayane Cheritt
Furuya,Wilson Massamitu
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Furuya,Valéria Rossetto Barriviera
Michelato,Mariana
Salaro,Ana Lúcia
Cruz,Thais Pereira da
Urbich,Allan Vinnícius
Ribeiro,Jonathan Willian Andrade
Batista,Dayane Cheritt
Furuya,Wilson Massamitu
dc.subject.por.fl_str_mv aquaculture
carcass
fish
growth curve
meat quality
topic aquaculture
carcass
fish
growth curve
meat quality
description ABSTRACT This study aimed to determine the length-weight relationship and mathematical models to predict dressed and fillet weight and yield and fillet composition of wild traíra, Hoplias malabaricus (Bloch, 1794). A total of 80 marketable-sized fish from 292.28 to 2879.57 g and 32.06 to 61.19 cm were used. The length:weight ratio was estimated using the equation: W = a × L b, in which W is body weight (g) and L is length (cm). The models of dressed and fillet weight and yield and body were elaborated using first-order ( y ^ i = β 0 + β 1 x i ) or second-order ( y ^ i = β 0 + β 1 x i + β 1 x i 2 ) linear regression analyses. The value of slope b in the length:weight ratio was 3.3732 and intercept was 0.0029. The prediction equations obtained for dressed weight, fillet weight, dressed yield, fillet yield, fillet gross energy, moisture, crude protein, crude lipid, and ash were, respectively: y ^ = 0.3244 + 0.9373 W, y ^ = 0.7651 + 0.4181 W, y ^ = 939.8015 + 0.0019 W, y ^ = 420.55170 + 0.0064 W, y ^ = 997.9600 + 0.0630 W, y ^ = 810.6500 − 0.0085 W, y ^ = 184.080 − 0.0111 W, y ^ = 3.1131 + 0.0049 W, and y ^ = 10.6110 + 0.0009 W, in which W is the body weight of fish (g). We demonstrated the possibility of elaborating realistic expressions to describe degutted weight, fillet weight, and fillet composition. However, lower mathematical adjustment was observed to estimate realistic prediction of dressed and fillet yield.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982019000100158
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982019000100158
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/rbz4820170176
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Zootecnia
publisher.none.fl_str_mv Sociedade Brasileira de Zootecnia
dc.source.none.fl_str_mv Revista Brasileira de Zootecnia v.48 2019
reponame:Revista Brasileira de Zootecnia (Online)
instname:Sociedade Brasileira de Zootecnia (SBZ)
instacron:SBZ
instname_str Sociedade Brasileira de Zootecnia (SBZ)
instacron_str SBZ
institution SBZ
reponame_str Revista Brasileira de Zootecnia (Online)
collection Revista Brasileira de Zootecnia (Online)
repository.name.fl_str_mv Revista Brasileira de Zootecnia (Online) - Sociedade Brasileira de Zootecnia (SBZ)
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