Cross-sectional and longitudinal method for describing growth curve of rabbits
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=S0102-09352022000400731 |
Resumo: | ABSTRACT Rabbit farming is an activity with high growth potential due to its easy handling, high prolificacy, low polluting impact, and easy adaptability to family farming systems, producing meat of high biological value. Therefore, the aim of this work was to evaluate, using von Bertalanffy's nonlinear model, growth curves of weight as a function of age in ‘Flemish Giant Rabbits’ and ‘New Zealand White’ crossbred rabbits. Two different data collections were used: the longitudinal method and the cross-sectional method. The experiment was carried out at the Federal University of Lavras, located in the municipality of Lavras, Minas Gerais, Brazil, where 10 crossbred rabbits were evaluated, and animals were weighed from 0 to 150 days of age. Both methods proved to be adequate to describe the development of rabbits and the cross-sectional method proved to be an adequate alternative to obtention of growth curves, saving time in data collection and showing consistent estimates. |
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Arquivo brasileiro de medicina veterinária e zootecnia (Online) |
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Cross-sectional and longitudinal method for describing growth curve of rabbitsgrowth curvesrabbit farmingregressionmodelingvon BertalanffyABSTRACT Rabbit farming is an activity with high growth potential due to its easy handling, high prolificacy, low polluting impact, and easy adaptability to family farming systems, producing meat of high biological value. Therefore, the aim of this work was to evaluate, using von Bertalanffy's nonlinear model, growth curves of weight as a function of age in ‘Flemish Giant Rabbits’ and ‘New Zealand White’ crossbred rabbits. Two different data collections were used: the longitudinal method and the cross-sectional method. The experiment was carried out at the Federal University of Lavras, located in the municipality of Lavras, Minas Gerais, Brazil, where 10 crossbred rabbits were evaluated, and animals were weighed from 0 to 150 days of age. Both methods proved to be adequate to describe the development of rabbits and the cross-sectional method proved to be an adequate alternative to obtention of growth curves, saving time in data collection and showing consistent estimates.Universidade Federal de Minas Gerais, Escola de Veterinária2022-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-09352022000400731Arquivo Brasileiro de Medicina Veterinária e Zootecnia v.74 n.4 2022reponame:Arquivo brasileiro de medicina veterinária e zootecnia (Online)instname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMG10.1590/1678-4162-12534info:eu-repo/semantics/openAccessFernandes,F.A.Silva,M.A.J.G.Silva,W.D.Fernandes,T.J.Muniz,J.A.eng2022-08-16T00:00:00Zoai:scielo:S0102-09352022000400731Revistahttps://www.scielo.br/j/abmvz/PUBhttps://old.scielo.br/oai/scielo-oai.phpjournal@vet.ufmg.br||abmvz.artigo@abmvz.org.br1678-41620102-0935opendoar:2022-08-16T00:00Arquivo brasileiro de medicina veterinária e zootecnia (Online) - Universidade Federal de Minas Gerais (UFMG)false |
dc.title.none.fl_str_mv |
Cross-sectional and longitudinal method for describing growth curve of rabbits |
title |
Cross-sectional and longitudinal method for describing growth curve of rabbits |
spellingShingle |
Cross-sectional and longitudinal method for describing growth curve of rabbits Fernandes,F.A. growth curves rabbit farming regression modeling von Bertalanffy |
title_short |
Cross-sectional and longitudinal method for describing growth curve of rabbits |
title_full |
Cross-sectional and longitudinal method for describing growth curve of rabbits |
title_fullStr |
Cross-sectional and longitudinal method for describing growth curve of rabbits |
title_full_unstemmed |
Cross-sectional and longitudinal method for describing growth curve of rabbits |
title_sort |
Cross-sectional and longitudinal method for describing growth curve of rabbits |
author |
Fernandes,F.A. |
author_facet |
Fernandes,F.A. Silva,M.A.J.G. Silva,W.D. Fernandes,T.J. Muniz,J.A. |
author_role |
author |
author2 |
Silva,M.A.J.G. Silva,W.D. Fernandes,T.J. Muniz,J.A. |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Fernandes,F.A. Silva,M.A.J.G. Silva,W.D. Fernandes,T.J. Muniz,J.A. |
dc.subject.por.fl_str_mv |
growth curves rabbit farming regression modeling von Bertalanffy |
topic |
growth curves rabbit farming regression modeling von Bertalanffy |
description |
ABSTRACT Rabbit farming is an activity with high growth potential due to its easy handling, high prolificacy, low polluting impact, and easy adaptability to family farming systems, producing meat of high biological value. Therefore, the aim of this work was to evaluate, using von Bertalanffy's nonlinear model, growth curves of weight as a function of age in ‘Flemish Giant Rabbits’ and ‘New Zealand White’ crossbred rabbits. Two different data collections were used: the longitudinal method and the cross-sectional method. The experiment was carried out at the Federal University of Lavras, located in the municipality of Lavras, Minas Gerais, Brazil, where 10 crossbred rabbits were evaluated, and animals were weighed from 0 to 150 days of age. Both methods proved to be adequate to describe the development of rabbits and the cross-sectional method proved to be an adequate alternative to obtention of growth curves, saving time in data collection and showing consistent estimates. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-08-01 |
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=S0102-09352022000400731 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-09352022000400731 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1678-4162-12534 |
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.4 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_ |
1750220895977209856 |