Prediction of live weight in growing hair sheep using the body volume formula

Detalhes bibliográficos
Autor(a) principal: Salazar-Cuytun,R.
Data de Publicação: 2022
Outros Autores: 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.
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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spelling 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
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