Predicting the carcass characteristics of Morada Nova lambs using biometric measurements
ABSTRACT The objective of this work was to use biometric measurements to predict carcass characteristics of lambs of the Morada Nova breed. We used 48 lambs with mean initial body weight (BW) of 15.0±0.04 kg and slaughter body weight (SBW) of 26.37±2.43 kg. The animals were weighed weekly and underw...
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Sociedade Brasileira de Zootecnia
2020-11-01
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Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982020000100822&tlng=en |
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author | Roberto Germano Costa Anny Graycy Vasconcelos de Oliveira Lima Neila Lidiany Ribeiro Ariosvaldo Nunes de Medeiros Geovergue Rodrigues de Medeiros Severino Gonzaga Neto Ronaldo Lopes Oliveira |
author_facet | Roberto Germano Costa Anny Graycy Vasconcelos de Oliveira Lima Neila Lidiany Ribeiro Ariosvaldo Nunes de Medeiros Geovergue Rodrigues de Medeiros Severino Gonzaga Neto Ronaldo Lopes Oliveira |
author_sort | Roberto Germano Costa |
collection | DOAJ |
description | ABSTRACT The objective of this work was to use biometric measurements to predict carcass characteristics of lambs of the Morada Nova breed. We used 48 lambs with mean initial body weight (BW) of 15.0±0.04 kg and slaughter body weight (SBW) of 26.37±2.43 kg. The animals were weighed weekly and underwent a period of adaptation of 15 days before slaughter. The biometric measurements were obtained the day before slaughter, comprising body length, withers height, rump height, thigh length, breast width, rump width, thigh perimeter, rump perimeter, thorax perimeter, leg length, and body condition score. Additional measurements included slaughter BW and empty BW (EBW). The data recorded at slaughter comprised the weights of the viscera, carcass, and internal fat and offal. The in vivo measurements of body length were present in most of the equations for predicting the SBW, EBW, hot carcass weight (HCW), and cold carcass weight (CCW). The SBW and EBW presented a variation of approximately 9%. The variables that evaluated the carcass, HCW, and CCW demonstrated less data variation than SBW and EBW, which was probably because these measurements were obtained following evisceration and skinning, thus removing factors of more significant variation in vivo . The prediction models found in the present study varied with an R² of 0.49-0.93, indicating high levels of variation. In sum, biometric measurements can be used to predict the carcass characteristics of Morada Nova lambs with different body conditions. |
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language | English |
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spelling | doaj.art-3c15a81a20dd429a8f419a7f36e0d6c92022-12-21T19:45:01ZengSociedade Brasileira de ZootecniaRevista Brasileira de Zootecnia1806-92902020-11-014910.37496/rbz4920190179Predicting the carcass characteristics of Morada Nova lambs using biometric measurementsRoberto Germano Costahttps://orcid.org/0000-0002-6309-9736Anny Graycy Vasconcelos de Oliveira Limahttps://orcid.org/0000-0002-5613-8047Neila Lidiany Ribeirohttps://orcid.org/0000-0002-6410-244XAriosvaldo Nunes de Medeiroshttps://orcid.org/0000-0002-1997-2649Geovergue Rodrigues de Medeiroshttps://orcid.org/0000-0001-6544-1518Severino Gonzaga Netohttps://orcid.org/0000-0003-4220-4071Ronaldo Lopes Oliveirahttps://orcid.org/0000-0001-5887-4753ABSTRACT The objective of this work was to use biometric measurements to predict carcass characteristics of lambs of the Morada Nova breed. We used 48 lambs with mean initial body weight (BW) of 15.0±0.04 kg and slaughter body weight (SBW) of 26.37±2.43 kg. The animals were weighed weekly and underwent a period of adaptation of 15 days before slaughter. The biometric measurements were obtained the day before slaughter, comprising body length, withers height, rump height, thigh length, breast width, rump width, thigh perimeter, rump perimeter, thorax perimeter, leg length, and body condition score. Additional measurements included slaughter BW and empty BW (EBW). The data recorded at slaughter comprised the weights of the viscera, carcass, and internal fat and offal. The in vivo measurements of body length were present in most of the equations for predicting the SBW, EBW, hot carcass weight (HCW), and cold carcass weight (CCW). The SBW and EBW presented a variation of approximately 9%. The variables that evaluated the carcass, HCW, and CCW demonstrated less data variation than SBW and EBW, which was probably because these measurements were obtained following evisceration and skinning, thus removing factors of more significant variation in vivo . The prediction models found in the present study varied with an R² of 0.49-0.93, indicating high levels of variation. In sum, biometric measurements can be used to predict the carcass characteristics of Morada Nova lambs with different body conditions.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982020000100822&tlng=enbiometrycarcass qualitylamb carcassMorada Novaprediction models |
spellingShingle | Roberto Germano Costa Anny Graycy Vasconcelos de Oliveira Lima Neila Lidiany Ribeiro Ariosvaldo Nunes de Medeiros Geovergue Rodrigues de Medeiros Severino Gonzaga Neto Ronaldo Lopes Oliveira Predicting the carcass characteristics of Morada Nova lambs using biometric measurements Revista Brasileira de Zootecnia biometry carcass quality lamb carcass Morada Nova prediction models |
title | Predicting the carcass characteristics of Morada Nova lambs using biometric measurements |
title_full | Predicting the carcass characteristics of Morada Nova lambs using biometric measurements |
title_fullStr | Predicting the carcass characteristics of Morada Nova lambs using biometric measurements |
title_full_unstemmed | Predicting the carcass characteristics of Morada Nova lambs using biometric measurements |
title_short | Predicting the carcass characteristics of Morada Nova lambs using biometric measurements |
title_sort | predicting the carcass characteristics of morada nova lambs using biometric measurements |
topic | biometry carcass quality lamb carcass Morada Nova prediction models |
url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982020000100822&tlng=en |
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