Prediction of live weight in growing hair sheep using the body volume formula
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Arquivo brasileiro de medicina veterinária e zootecnia (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-09352022000300483 |
Resumo: | ABSTRACT Due to the conditions in which traditional sheep production systems operate, the evaluation of animal growth from live weight (LW) is limited by the high cost of the livestock scale as well as the sophisticated maintenance required. In this scenario, in recent years, biometric measurements have been investigated as an accurate indirect method to predict the LW of farm animals. Therefore, the present study was undertaken to examine different models for predicting the body weight of growing lambs using the body volume (BV) formula. Body volume, heart girth (HG) and body length (BL) data of 290 lambs aged between two and eight months were recorded. Body volume was calculated from HG and BL data using a formula that calculates the volume of a cylinder. The estimation of LW from the BV formula was achieved through regression equations using three mathematical models (linear, quadratic and exponential). The mean values of LW, HG, BL and BV of the lambs were 29.12±12.04kg, 70.00±11.69cm, 38.40±6.43cm and 23.93±9.90dm3, respectively. The correlation coefficient between LW and BV was r = 0.96 (P<0.001). The quadratic model showed the highest coefficient of determination (0.93) and the lowest prediction error (3.29kg). Under the experimental conditions adopted in this study, it is possible to predict the live weight of growing lambs using the body volume formula. |
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Arquivo brasileiro de medicina veterinária e zootecnia (Online) |
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Prediction of live weight in growing hair sheep using the body volume formulabiometric measurementsmathematical equationsprediction modelsABSTRACT Due to the conditions in which traditional sheep production systems operate, the evaluation of animal growth from live weight (LW) is limited by the high cost of the livestock scale as well as the sophisticated maintenance required. In this scenario, in recent years, biometric measurements have been investigated as an accurate indirect method to predict the LW of farm animals. Therefore, the present study was undertaken to examine different models for predicting the body weight of growing lambs using the body volume (BV) formula. Body volume, heart girth (HG) and body length (BL) data of 290 lambs aged between two and eight months were recorded. Body volume was calculated from HG and BL data using a formula that calculates the volume of a cylinder. The estimation of LW from the BV formula was achieved through regression equations using three mathematical models (linear, quadratic and exponential). The mean values of LW, HG, BL and BV of the lambs were 29.12±12.04kg, 70.00±11.69cm, 38.40±6.43cm and 23.93±9.90dm3, respectively. The correlation coefficient between LW and BV was r = 0.96 (P<0.001). The quadratic model showed the highest coefficient of determination (0.93) and the lowest prediction error (3.29kg). Under the experimental conditions adopted in this study, it is possible to predict the live weight of growing lambs using the body volume formula.Universidade Federal de Minas Gerais, Escola de Veterinária2022-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-09352022000300483Arquivo Brasileiro de Medicina Veterinária e Zootecnia v.74 n.3 2022reponame:Arquivo brasileiro de medicina veterinária e zootecnia (Online)instname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMG10.1590/1678-4162-12624info:eu-repo/semantics/openAccessSalazar-Cuytun,R.Portillo-Salgado,R.García-Herrera,R.A.Camacho-Pérez,E.Zaragoza-Vera,C.V.Gurgel,A.L.C.Muñoz-Osorio,G.A.Chay-Canul,A.J.eng2022-06-07T00:00:00Zoai:scielo:S0102-09352022000300483Revistahttps://www.scielo.br/j/abmvz/PUBhttps://old.scielo.br/oai/scielo-oai.phpjournal@vet.ufmg.br||abmvz.artigo@abmvz.org.br1678-41620102-0935opendoar:2022-06-07T00:00Arquivo brasileiro de medicina veterinária e zootecnia (Online) - Universidade Federal de Minas Gerais (UFMG)false |
dc.title.none.fl_str_mv |
Prediction of live weight in growing hair sheep using the body volume formula |
title |
Prediction of live weight in growing hair sheep using the body volume formula |
spellingShingle |
Prediction of live weight in growing hair sheep using the body volume formula Salazar-Cuytun,R. biometric measurements mathematical equations prediction models |
title_short |
Prediction of live weight in growing hair sheep using the body volume formula |
title_full |
Prediction of live weight in growing hair sheep using the body volume formula |
title_fullStr |
Prediction of live weight in growing hair sheep using the body volume formula |
title_full_unstemmed |
Prediction of live weight in growing hair sheep using the body volume formula |
title_sort |
Prediction of live weight in growing hair sheep using the body volume formula |
author |
Salazar-Cuytun,R. |
author_facet |
Salazar-Cuytun,R. Portillo-Salgado,R. García-Herrera,R.A. Camacho-Pérez,E. Zaragoza-Vera,C.V. Gurgel,A.L.C. Muñoz-Osorio,G.A. Chay-Canul,A.J. |
author_role |
author |
author2 |
Portillo-Salgado,R. García-Herrera,R.A. Camacho-Pérez,E. Zaragoza-Vera,C.V. Gurgel,A.L.C. Muñoz-Osorio,G.A. Chay-Canul,A.J. |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Salazar-Cuytun,R. Portillo-Salgado,R. García-Herrera,R.A. Camacho-Pérez,E. Zaragoza-Vera,C.V. Gurgel,A.L.C. Muñoz-Osorio,G.A. Chay-Canul,A.J. |
dc.subject.por.fl_str_mv |
biometric measurements mathematical equations prediction models |
topic |
biometric measurements mathematical equations prediction models |
description |
ABSTRACT Due to the conditions in which traditional sheep production systems operate, the evaluation of animal growth from live weight (LW) is limited by the high cost of the livestock scale as well as the sophisticated maintenance required. In this scenario, in recent years, biometric measurements have been investigated as an accurate indirect method to predict the LW of farm animals. Therefore, the present study was undertaken to examine different models for predicting the body weight of growing lambs using the body volume (BV) formula. Body volume, heart girth (HG) and body length (BL) data of 290 lambs aged between two and eight months were recorded. Body volume was calculated from HG and BL data using a formula that calculates the volume of a cylinder. The estimation of LW from the BV formula was achieved through regression equations using three mathematical models (linear, quadratic and exponential). The mean values of LW, HG, BL and BV of the lambs were 29.12±12.04kg, 70.00±11.69cm, 38.40±6.43cm and 23.93±9.90dm3, respectively. The correlation coefficient between LW and BV was r = 0.96 (P<0.001). The quadratic model showed the highest coefficient of determination (0.93) and the lowest prediction error (3.29kg). Under the experimental conditions adopted in this study, it is possible to predict the live weight of growing lambs using the body volume formula. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-06-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-09352022000300483 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-09352022000300483 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1678-4162-12624 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Universidade Federal de Minas Gerais, Escola de Veterinária |
publisher.none.fl_str_mv |
Universidade Federal de Minas Gerais, Escola de Veterinária |
dc.source.none.fl_str_mv |
Arquivo Brasileiro de Medicina Veterinária e Zootecnia v.74 n.3 2022 reponame:Arquivo brasileiro de medicina veterinária e zootecnia (Online) instname:Universidade Federal de Minas Gerais (UFMG) instacron:UFMG |
instname_str |
Universidade Federal de Minas Gerais (UFMG) |
instacron_str |
UFMG |
institution |
UFMG |
reponame_str |
Arquivo brasileiro de medicina veterinária e zootecnia (Online) |
collection |
Arquivo brasileiro de medicina veterinária e zootecnia (Online) |
repository.name.fl_str_mv |
Arquivo brasileiro de medicina veterinária e zootecnia (Online) - Universidade Federal de Minas Gerais (UFMG) |
repository.mail.fl_str_mv |
journal@vet.ufmg.br||abmvz.artigo@abmvz.org.br |
_version_ |
1750220895924781056 |