Discrimination ability of Santa Inês and crossbred Santa Inês × Dorper lamb heavy carcasses by the Brazilian and European classification systems

Discrimination ability of Santa Inês and crossbred Santa Inês × Dorper lamb heavy carcasses by the Brazilian and European classification systems

ABSTRACT The ability of discriminating carcass characteristics of different fat cover scores of heavy carcasses, according to the European (EUS) and Brazilian (BRS) classification systems, was assessed. Fifty-six lambs, weighing between 26.25 and 46.15 kg, of the Santa Inês and crossbred Santa Inês × Dorper genetic groups were evaluated. The level of adiposity was assessed through color photography of the carcasses after refrigeration according to the EUS and BRS. The carcasses were assigned to four groups by cluster analysis according to 25 variables, namely, cold carcass weight; muscle; bone; fat; and muscle:fat and fat:bone ratios of the carcass and cuts (hindquarter, shoulder, back); kidney, pelvic, and inguinal fat; and subcutaneous fat thickness. Of the four groups obtained by cluster analysis, the scores according to the different classification systems only statistically differed between groups 1 and 4. The BRS had a higher number of variables well correlated with the scores by assessors than the groups classified by the EUS. The BRS was better correlated with tissue composition. However, most variables were better correlated with backfat thickness than the score obtained through the classification systems. Better results were obtained regarding the prediction of carcass fat by the BRS using backfat thickness or cold carcass weight. The Brazilian lamb carcass classification system better predicts tissue composition and is the best method to discriminate intermediate-fat classes when associated with cold carcass weight.

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Main Authors: Lima,Alyne Cristina Sodré, Sousa,Marco Antonio Paula de, Araújo,Jonas Carneiro, Nunes,Manuella Paula de Mesquita, Morais,Eziquiel de, Andrade,Stefano Juliano Tavares de, Chaves,Luciara Celi da Silva, Silva,André Guimarães Maciel e
Format: Digital revista
Language:English
Published: Sociedade Brasileira de Zootecnia 2017
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982017000600527
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spelling oai:scielo:S1516-359820170006005272017-08-01Discrimination ability of Santa Inês and crossbred Santa Inês × Dorper lamb heavy carcasses by the Brazilian and European classification systemsLima,Alyne Cristina SodréSousa,Marco Antonio Paula deAraújo,Jonas CarneiroNunes,Manuella Paula de MesquitaMorais,Eziquiel deAndrade,Stefano Juliano Tavares deChaves,Luciara Celi da SilvaSilva,André Guimarães Maciel e conformation non-specialized breeds tissue composition ABSTRACT The ability of discriminating carcass characteristics of different fat cover scores of heavy carcasses, according to the European (EUS) and Brazilian (BRS) classification systems, was assessed. Fifty-six lambs, weighing between 26.25 and 46.15 kg, of the Santa Inês and crossbred Santa Inês × Dorper genetic groups were evaluated. The level of adiposity was assessed through color photography of the carcasses after refrigeration according to the EUS and BRS. The carcasses were assigned to four groups by cluster analysis according to 25 variables, namely, cold carcass weight; muscle; bone; fat; and muscle:fat and fat:bone ratios of the carcass and cuts (hindquarter, shoulder, back); kidney, pelvic, and inguinal fat; and subcutaneous fat thickness. Of the four groups obtained by cluster analysis, the scores according to the different classification systems only statistically differed between groups 1 and 4. The BRS had a higher number of variables well correlated with the scores by assessors than the groups classified by the EUS. The BRS was better correlated with tissue composition. However, most variables were better correlated with backfat thickness than the score obtained through the classification systems. Better results were obtained regarding the prediction of carcass fat by the BRS using backfat thickness or cold carcass weight. The Brazilian lamb carcass classification system better predicts tissue composition and is the best method to discriminate intermediate-fat classes when associated with cold carcass weight.info:eu-repo/semantics/openAccessSociedade Brasileira de ZootecniaRevista Brasileira de Zootecnia v.46 n.6 20172017-06-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982017000600527en10.1590/s1806-92902017000600008
institution SCIELO
collection OJS
country Brasil
countrycode BR
component Revista
access En linea
databasecode rev-scielo-br
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region America del Sur
libraryname SciELO
language English
format Digital
author Lima,Alyne Cristina Sodré
Sousa,Marco Antonio Paula de
Araújo,Jonas Carneiro
Nunes,Manuella Paula de Mesquita
Morais,Eziquiel de
Andrade,Stefano Juliano Tavares de
Chaves,Luciara Celi da Silva
Silva,André Guimarães Maciel e
spellingShingle Lima,Alyne Cristina Sodré
Sousa,Marco Antonio Paula de
Araújo,Jonas Carneiro
Nunes,Manuella Paula de Mesquita
Morais,Eziquiel de
Andrade,Stefano Juliano Tavares de
Chaves,Luciara Celi da Silva
Silva,André Guimarães Maciel e
Discrimination ability of Santa Inês and crossbred Santa Inês × Dorper lamb heavy carcasses by the Brazilian and European classification systems
author_facet Lima,Alyne Cristina Sodré
Sousa,Marco Antonio Paula de
Araújo,Jonas Carneiro
Nunes,Manuella Paula de Mesquita
Morais,Eziquiel de
Andrade,Stefano Juliano Tavares de
Chaves,Luciara Celi da Silva
Silva,André Guimarães Maciel e
author_sort Lima,Alyne Cristina Sodré
title Discrimination ability of Santa Inês and crossbred Santa Inês × Dorper lamb heavy carcasses by the Brazilian and European classification systems
title_short Discrimination ability of Santa Inês and crossbred Santa Inês × Dorper lamb heavy carcasses by the Brazilian and European classification systems
title_full Discrimination ability of Santa Inês and crossbred Santa Inês × Dorper lamb heavy carcasses by the Brazilian and European classification systems
title_fullStr Discrimination ability of Santa Inês and crossbred Santa Inês × Dorper lamb heavy carcasses by the Brazilian and European classification systems
title_full_unstemmed Discrimination ability of Santa Inês and crossbred Santa Inês × Dorper lamb heavy carcasses by the Brazilian and European classification systems
title_sort discrimination ability of santa inês and crossbred santa inês × dorper lamb heavy carcasses by the brazilian and european classification systems
description ABSTRACT The ability of discriminating carcass characteristics of different fat cover scores of heavy carcasses, according to the European (EUS) and Brazilian (BRS) classification systems, was assessed. Fifty-six lambs, weighing between 26.25 and 46.15 kg, of the Santa Inês and crossbred Santa Inês × Dorper genetic groups were evaluated. The level of adiposity was assessed through color photography of the carcasses after refrigeration according to the EUS and BRS. The carcasses were assigned to four groups by cluster analysis according to 25 variables, namely, cold carcass weight; muscle; bone; fat; and muscle:fat and fat:bone ratios of the carcass and cuts (hindquarter, shoulder, back); kidney, pelvic, and inguinal fat; and subcutaneous fat thickness. Of the four groups obtained by cluster analysis, the scores according to the different classification systems only statistically differed between groups 1 and 4. The BRS had a higher number of variables well correlated with the scores by assessors than the groups classified by the EUS. The BRS was better correlated with tissue composition. However, most variables were better correlated with backfat thickness than the score obtained through the classification systems. Better results were obtained regarding the prediction of carcass fat by the BRS using backfat thickness or cold carcass weight. The Brazilian lamb carcass classification system better predicts tissue composition and is the best method to discriminate intermediate-fat classes when associated with cold carcass weight.
publisher Sociedade Brasileira de Zootecnia
publishDate 2017
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982017000600527
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