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: Patricio, Marcia, Guedes, Cristina, Mena, Elisabete, Silva, Antonio, Santos, Virginia, Jorge, Andre [UNESP], Cadavez, V, Thiel, D.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/196005
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 (R-2=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 ANALYSISIntramuscular fatultrasoundimage analysisThe 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 (R-2=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, POB 1013, P-5001801 Vila Real, PortugalUniv Estadual Paulista, Fac Med Vet & Zootecn, Dept Prod Anim, BR-618000 Botucatu, SP, BrazilUniv Estadual Paulista, Fac Med Vet & Zootecn, Dept Prod Anim, BR-618000 Botucatu, SP, BrazilEurosisCECAV UTADUniversidade Estadual Paulista (Unesp)Silva, SeverianoPatricio, MarciaGuedes, CristinaMena, ElisabeteSilva, AntonioSantos, VirginiaJorge, Andre [UNESP]Cadavez, VThiel, D.2020-12-10T19:16:32Z2020-12-10T19:16:32Z2010-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject211-+6th International Conference On Simulation And Modelling In The Food And Bio-industry (foodsim 2010). Ghent: Eurosis, p. 211-+, 2010.http://hdl.handle.net/11449/196005WOS:000306024900038Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng6th International Conference On Simulation And Modelling In The Food And Bio-industry (foodsim 2010)info:eu-repo/semantics/openAccess2021-10-22T22:16:58Zoai:repositorio.unesp.br:11449/196005Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-22T22:16:58Repositório 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
Intramuscular fat
ultrasound
image analysis
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
Patricio, Marcia
Guedes, Cristina
Mena, Elisabete
Silva, Antonio
Santos, Virginia
Jorge, Andre [UNESP]
Cadavez, V
Thiel, D.
author_role author
author2 Patricio, Marcia
Guedes, Cristina
Mena, Elisabete
Silva, Antonio
Santos, Virginia
Jorge, Andre [UNESP]
Cadavez, V
Thiel, D.
author2_role author
author
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
Patricio, Marcia
Guedes, Cristina
Mena, Elisabete
Silva, Antonio
Santos, Virginia
Jorge, Andre [UNESP]
Cadavez, V
Thiel, D.
dc.subject.por.fl_str_mv Intramuscular fat
ultrasound
image analysis
topic Intramuscular fat
ultrasound
image analysis
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 (R-2=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
2020-12-10T19:16:32Z
2020-12-10T19:16:32Z
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 (foodsim 2010). Ghent: Eurosis, p. 211-+, 2010.
http://hdl.handle.net/11449/196005
WOS:000306024900038
identifier_str_mv 6th International Conference On Simulation And Modelling In The Food And Bio-industry (foodsim 2010). Ghent: Eurosis, p. 211-+, 2010.
WOS:000306024900038
url http://hdl.handle.net/11449/196005
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 (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-+
dc.publisher.none.fl_str_mv Eurosis
publisher.none.fl_str_mv Eurosis
dc.source.none.fl_str_mv Web of Science
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)
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