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/11449/227696 |
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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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 |
_version_ |
1810021311782584320 |