Assessment of muscle Longissimus thoracis et lumborum intramuscular fat by ultrasonography and image analysis

Detalhes bibliográficos
Autor(a) principal: Silva, Severiano
Data de Publicação: 2010
Outros Autores: Patrício, Márcia, Guedes, Cristina, Mena, Elisabete, Silva, António, Santos, Virgínia, Jorge, André [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/227696
Resumo: The intramuscular fat (IMF), recognized by the consumer as marbling, has a favorable effect on meat quality and therefore is an important trait to be assessed. The objective of this work is to predict Longissimus thoracis et lumborum muscle (LM) chemical IMF from marbling traits obtained by analysis of real time ultrasonography (RTU) images. Twenty six LM samples were collected from Charolais x Holstein heifers. The RTU images were obtained from LM samples using a RTU scanner equipped with a 7.5 MHz probe. The chemical fat of IMF was determined on LM samples. The RTU images were subjected to computer image analysis to determine the characteristics of marbling flecks. Simple and multiple regressions were established between the chemical IMF (Y) and the characteristics of marbling flecks determined by RTU (X). Stepwise procedures were used to found the best fit model to predict chemical IMF. A large variation was found for the characteristics of marbling flecks. Using regression analysis it was possible to predict chemical IMF from marbling fleck area and proportion of marbling flecks (R2=0.66 and 0.82, respectively, P<0.0001). The best fit explains 85% of chemical IMF variation. The results observed in this work suggest that RTU associated with image analysis was a valuable tool to predict chemical IMF of LM without destroying the muscle chop.
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spelling Assessment of muscle Longissimus thoracis et lumborum intramuscular fat by ultrasonography and image analysisImage analysisIntramuscular fatUltrasoundThe intramuscular fat (IMF), recognized by the consumer as marbling, has a favorable effect on meat quality and therefore is an important trait to be assessed. The objective of this work is to predict Longissimus thoracis et lumborum muscle (LM) chemical IMF from marbling traits obtained by analysis of real time ultrasonography (RTU) images. Twenty six LM samples were collected from Charolais x Holstein heifers. The RTU images were obtained from LM samples using a RTU scanner equipped with a 7.5 MHz probe. The chemical fat of IMF was determined on LM samples. The RTU images were subjected to computer image analysis to determine the characteristics of marbling flecks. Simple and multiple regressions were established between the chemical IMF (Y) and the characteristics of marbling flecks determined by RTU (X). Stepwise procedures were used to found the best fit model to predict chemical IMF. A large variation was found for the characteristics of marbling flecks. Using regression analysis it was possible to predict chemical IMF from marbling fleck area and proportion of marbling flecks (R2=0.66 and 0.82, respectively, P<0.0001). The best fit explains 85% of chemical IMF variation. The results observed in this work suggest that RTU associated with image analysis was a valuable tool to predict chemical IMF of LM without destroying the muscle chop.CECAV, UTAD, POBox 1013, 5001-801 Vila RealUniversidade Estadual Paulista, Faculdade de Medicina Veterinária e Zootecnia, Departamento de Produção Animal, CEP: 18.618-000 - Botucatu/SPUniversidade Estadual Paulista, Faculdade de Medicina Veterinária e Zootecnia, Departamento de Produção Animal, CEP: 18.618-000 - Botucatu/SPCECAV, UTADUniversidade Estadual Paulista (UNESP)Silva, SeverianoPatrício, MárciaGuedes, CristinaMena, ElisabeteSilva, AntónioSantos, VirgíniaJorge, André [UNESP]2022-04-29T07:14:33Z2022-04-29T07:14:33Z2010-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject211-2156th International Conference on Simulation and Modelling in the Food and Bio-Industry 2010, FOODSIM 2010, p. 211-215.http://hdl.handle.net/11449/2276962-s2.0-84898623462Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng6th International Conference on Simulation and Modelling in the Food and Bio-Industry 2010, FOODSIM 2010info:eu-repo/semantics/openAccess2024-09-09T13:02:21Zoai:repositorio.unesp.br:11449/227696Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462024-09-09T13:02:21Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Assessment of muscle Longissimus thoracis et lumborum intramuscular fat by ultrasonography and image analysis
title Assessment of muscle Longissimus thoracis et lumborum intramuscular fat by ultrasonography and image analysis
spellingShingle Assessment of muscle Longissimus thoracis et lumborum intramuscular fat by ultrasonography and image analysis
Silva, Severiano
Image analysis
Intramuscular fat
Ultrasound
title_short Assessment of muscle Longissimus thoracis et lumborum intramuscular fat by ultrasonography and image analysis
title_full Assessment of muscle Longissimus thoracis et lumborum intramuscular fat by ultrasonography and image analysis
title_fullStr Assessment of muscle Longissimus thoracis et lumborum intramuscular fat by ultrasonography and image analysis
title_full_unstemmed Assessment of muscle Longissimus thoracis et lumborum intramuscular fat by ultrasonography and image analysis
title_sort Assessment of muscle Longissimus thoracis et lumborum intramuscular fat by ultrasonography and image analysis
author Silva, Severiano
author_facet Silva, Severiano
Patrício, Márcia
Guedes, Cristina
Mena, Elisabete
Silva, António
Santos, Virgínia
Jorge, André [UNESP]
author_role author
author2 Patrício, Márcia
Guedes, Cristina
Mena, Elisabete
Silva, António
Santos, Virgínia
Jorge, André [UNESP]
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv CECAV, UTAD
Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Silva, Severiano
Patrício, Márcia
Guedes, Cristina
Mena, Elisabete
Silva, António
Santos, Virgínia
Jorge, André [UNESP]
dc.subject.por.fl_str_mv Image analysis
Intramuscular fat
Ultrasound
topic Image analysis
Intramuscular fat
Ultrasound
description The intramuscular fat (IMF), recognized by the consumer as marbling, has a favorable effect on meat quality and therefore is an important trait to be assessed. The objective of this work is to predict Longissimus thoracis et lumborum muscle (LM) chemical IMF from marbling traits obtained by analysis of real time ultrasonography (RTU) images. Twenty six LM samples were collected from Charolais x Holstein heifers. The RTU images were obtained from LM samples using a RTU scanner equipped with a 7.5 MHz probe. The chemical fat of IMF was determined on LM samples. The RTU images were subjected to computer image analysis to determine the characteristics of marbling flecks. Simple and multiple regressions were established between the chemical IMF (Y) and the characteristics of marbling flecks determined by RTU (X). Stepwise procedures were used to found the best fit model to predict chemical IMF. A large variation was found for the characteristics of marbling flecks. Using regression analysis it was possible to predict chemical IMF from marbling fleck area and proportion of marbling flecks (R2=0.66 and 0.82, respectively, P<0.0001). The best fit explains 85% of chemical IMF variation. The results observed in this work suggest that RTU associated with image analysis was a valuable tool to predict chemical IMF of LM without destroying the muscle chop.
publishDate 2010
dc.date.none.fl_str_mv 2010-01-01
2022-04-29T07:14:33Z
2022-04-29T07:14:33Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv 6th International Conference on Simulation and Modelling in the Food and Bio-Industry 2010, FOODSIM 2010, p. 211-215.
http://hdl.handle.net/11449/227696
2-s2.0-84898623462
identifier_str_mv 6th International Conference on Simulation and Modelling in the Food and Bio-Industry 2010, FOODSIM 2010, p. 211-215.
2-s2.0-84898623462
url http://hdl.handle.net/11449/227696
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 6th International Conference on Simulation and Modelling in the Food and Bio-Industry 2010, FOODSIM 2010
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 211-215
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv repositoriounesp@unesp.br
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