ASSESSMENT OF MUSCLE LONGISSIMUS THORACIS ET LUMBORUM INTRAMUSCULAR FAT BY ULTRASONOGRAPHY AND IMAGE ANALYSIS
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , , , , , , , |
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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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/openAccess2024-09-09T13:02:22Zoai:repositorio.unesp.br:11449/196005Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462024-09-09T13:02:22Repositório 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) |
repository.mail.fl_str_mv |
repositoriounesp@unesp.br |
_version_ |
1810021339685191680 |