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Evaluation of an Image Analysis Approach to Predicting Primal Cuts and Lean in Light Lamb Carcasses

SIMPLE SUMMARY: The traditional way of estimating the carcass composition by complete dissection of muscle, fat and bone is an expensive, time-consuming and inconsistent process. The purpose of this study was to evaluate the accuracy of a simple video image analysis (VIA) system to predict the compo...

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Autores principales: Batista, Ana Catharina, Santos, Virgínia, Afonso, João, Guedes, Cristina, Azevedo, Jorge, Teixeira, Alfredo, Silva, Severiano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8150938/
https://www.ncbi.nlm.nih.gov/pubmed/34065849
http://dx.doi.org/10.3390/ani11051368
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author Batista, Ana Catharina
Santos, Virgínia
Afonso, João
Guedes, Cristina
Azevedo, Jorge
Teixeira, Alfredo
Silva, Severiano
author_facet Batista, Ana Catharina
Santos, Virgínia
Afonso, João
Guedes, Cristina
Azevedo, Jorge
Teixeira, Alfredo
Silva, Severiano
author_sort Batista, Ana Catharina
collection PubMed
description SIMPLE SUMMARY: The traditional way of estimating the carcass composition by complete dissection of muscle, fat and bone is an expensive, time-consuming and inconsistent process. The purpose of this study was to evaluate the accuracy of a simple video image analysis (VIA) system to predict the composition and primal cuts using light lamb carcasses. The six cuts of the carcasses were grouped according to their commercial value: high-value cuts (HVC), medium-value (MVC), low-value (LVC) and all of the cuts (AllC). Results showed the ability of the VIA system to estimate the weight and yield of the groups of carcass joints. ABSTRACT: Carcass dissection is a more accurate method for determining the composition of a carcass; however, it is expensive and time-consuming. Techniques like VIA are of great interest once they are objective and able to determine carcass contents accurately. This study aims to evaluate the accuracy of a flexible VIA system to determine the weight and yield of the commercial value of carcass cuts of light lamb. Photos from 55 lamb carcasses are taken and a total of 21 VIA measurements are assessed. The half-carcasses are divided into six primal cuts, grouped according to their commercial value: high-value (HVC), medium-value (MVC), low-value (LVC) and all of the cuts (AllC). K-folds cross-validation stepwise regression analyses are used to estimate the weights of the cuts in the groups and their lean meat yields. The models used to estimate the weight of AllC, HVC, MVC and LVC show similar results and a k-fold coefficient of determination (k-fold-R(2)) of 0.99 is achieved for the HVC and AllC predictions. The precision of the weight and yield of the three prediction models varies from low to moderate, with k-fold-R(2) results between 0.186 and 0.530, p < 0.001. The prediction models used to estimate the total lean meat weight are similar and low, with k-fold-R(2) results between 0.080 and 0.461, p < 0.001. The results confirm the ability of the VIA system to estimate the weights of parts and their yields. However, more research is needed on estimating lean meat yield.
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spelling pubmed-81509382021-05-27 Evaluation of an Image Analysis Approach to Predicting Primal Cuts and Lean in Light Lamb Carcasses Batista, Ana Catharina Santos, Virgínia Afonso, João Guedes, Cristina Azevedo, Jorge Teixeira, Alfredo Silva, Severiano Animals (Basel) Article SIMPLE SUMMARY: The traditional way of estimating the carcass composition by complete dissection of muscle, fat and bone is an expensive, time-consuming and inconsistent process. The purpose of this study was to evaluate the accuracy of a simple video image analysis (VIA) system to predict the composition and primal cuts using light lamb carcasses. The six cuts of the carcasses were grouped according to their commercial value: high-value cuts (HVC), medium-value (MVC), low-value (LVC) and all of the cuts (AllC). Results showed the ability of the VIA system to estimate the weight and yield of the groups of carcass joints. ABSTRACT: Carcass dissection is a more accurate method for determining the composition of a carcass; however, it is expensive and time-consuming. Techniques like VIA are of great interest once they are objective and able to determine carcass contents accurately. This study aims to evaluate the accuracy of a flexible VIA system to determine the weight and yield of the commercial value of carcass cuts of light lamb. Photos from 55 lamb carcasses are taken and a total of 21 VIA measurements are assessed. The half-carcasses are divided into six primal cuts, grouped according to their commercial value: high-value (HVC), medium-value (MVC), low-value (LVC) and all of the cuts (AllC). K-folds cross-validation stepwise regression analyses are used to estimate the weights of the cuts in the groups and their lean meat yields. The models used to estimate the weight of AllC, HVC, MVC and LVC show similar results and a k-fold coefficient of determination (k-fold-R(2)) of 0.99 is achieved for the HVC and AllC predictions. The precision of the weight and yield of the three prediction models varies from low to moderate, with k-fold-R(2) results between 0.186 and 0.530, p < 0.001. The prediction models used to estimate the total lean meat weight are similar and low, with k-fold-R(2) results between 0.080 and 0.461, p < 0.001. The results confirm the ability of the VIA system to estimate the weights of parts and their yields. However, more research is needed on estimating lean meat yield. MDPI 2021-05-12 /pmc/articles/PMC8150938/ /pubmed/34065849 http://dx.doi.org/10.3390/ani11051368 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Batista, Ana Catharina
Santos, Virgínia
Afonso, João
Guedes, Cristina
Azevedo, Jorge
Teixeira, Alfredo
Silva, Severiano
Evaluation of an Image Analysis Approach to Predicting Primal Cuts and Lean in Light Lamb Carcasses
title Evaluation of an Image Analysis Approach to Predicting Primal Cuts and Lean in Light Lamb Carcasses
title_full Evaluation of an Image Analysis Approach to Predicting Primal Cuts and Lean in Light Lamb Carcasses
title_fullStr Evaluation of an Image Analysis Approach to Predicting Primal Cuts and Lean in Light Lamb Carcasses
title_full_unstemmed Evaluation of an Image Analysis Approach to Predicting Primal Cuts and Lean in Light Lamb Carcasses
title_short Evaluation of an Image Analysis Approach to Predicting Primal Cuts and Lean in Light Lamb Carcasses
title_sort evaluation of an image analysis approach to predicting primal cuts and lean in light lamb carcasses
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8150938/
https://www.ncbi.nlm.nih.gov/pubmed/34065849
http://dx.doi.org/10.3390/ani11051368
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