Comparing non-linear mathematical models to describe growth of different animals
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Acta Scientiarum. Animal Sciences (Online) |
Texto Completo: | https://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/31366 |
Resumo: | The main objective of this study was to compare the goodness of fit of five non-linear growth models, i.e. Brody, Gompertz, Logistic, Richards and von Bertalanffy in different animals. It also aimed to evaluate the influence of the shape parameter on the growth curve. To accomplish this task, published growth data of 14 different groups of animals were used and four goodness of fit statistics were adopted: coefficient of determination (R2), root mean square error (RMSE), Akaike information criterion (AIC) and Bayesian information criterion (BIC). In general, the Richards growth equation provided better fits to experimental data than the other models. However, for some animals, different models exhibited better performance. It was obtained a possible interpretation for the shape parameter, in such a way that can provide useful insights to predict animal growth behavior. Comparing non-linear mathematical models to describe growth of different animals |
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Acta Scientiarum. Animal Sciences (Online) |
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Comparing non-linear mathematical models to describe growth of different animalsbody weight gainRichards modelgoodness of fitThe main objective of this study was to compare the goodness of fit of five non-linear growth models, i.e. Brody, Gompertz, Logistic, Richards and von Bertalanffy in different animals. It also aimed to evaluate the influence of the shape parameter on the growth curve. To accomplish this task, published growth data of 14 different groups of animals were used and four goodness of fit statistics were adopted: coefficient of determination (R2), root mean square error (RMSE), Akaike information criterion (AIC) and Bayesian information criterion (BIC). In general, the Richards growth equation provided better fits to experimental data than the other models. However, for some animals, different models exhibited better performance. It was obtained a possible interpretation for the shape parameter, in such a way that can provide useful insights to predict animal growth behavior. Comparing non-linear mathematical models to describe growth of different animalsEditora da Universidade Estadual de Maringá2017-02-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/3136610.4025/actascianimsci.v39i1.31366Acta Scientiarum. Animal Sciences; Vol 39 No 1 (2017); 73-81Acta Scientiarum. Animal Sciences; v. 39 n. 1 (2017); 73-811807-86721806-2636reponame:Acta Scientiarum. Animal Sciences (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttps://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/31366/pdfCopyright (c) 2017 Acta Scientiarum. Animal Sciencesinfo:eu-repo/semantics/openAccessTeleken, Jhony TiagoGalvão, Alessandro CazonattoRobazza, Weber da Silva2022-02-20T21:50:00Zoai:periodicos.uem.br/ojs:article/31366Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciAnimSciPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAnimSci/oaiactaanim@uem.br||actaanim@uem.br|| rev.acta@gmail.com1807-86721806-2636opendoar:2022-02-20T21:50Acta Scientiarum. Animal Sciences (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
Comparing non-linear mathematical models to describe growth of different animals |
title |
Comparing non-linear mathematical models to describe growth of different animals |
spellingShingle |
Comparing non-linear mathematical models to describe growth of different animals Teleken, Jhony Tiago body weight gain Richards model goodness of fit |
title_short |
Comparing non-linear mathematical models to describe growth of different animals |
title_full |
Comparing non-linear mathematical models to describe growth of different animals |
title_fullStr |
Comparing non-linear mathematical models to describe growth of different animals |
title_full_unstemmed |
Comparing non-linear mathematical models to describe growth of different animals |
title_sort |
Comparing non-linear mathematical models to describe growth of different animals |
author |
Teleken, Jhony Tiago |
author_facet |
Teleken, Jhony Tiago Galvão, Alessandro Cazonatto Robazza, Weber da Silva |
author_role |
author |
author2 |
Galvão, Alessandro Cazonatto Robazza, Weber da Silva |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Teleken, Jhony Tiago Galvão, Alessandro Cazonatto Robazza, Weber da Silva |
dc.subject.por.fl_str_mv |
body weight gain Richards model goodness of fit |
topic |
body weight gain Richards model goodness of fit |
description |
The main objective of this study was to compare the goodness of fit of five non-linear growth models, i.e. Brody, Gompertz, Logistic, Richards and von Bertalanffy in different animals. It also aimed to evaluate the influence of the shape parameter on the growth curve. To accomplish this task, published growth data of 14 different groups of animals were used and four goodness of fit statistics were adopted: coefficient of determination (R2), root mean square error (RMSE), Akaike information criterion (AIC) and Bayesian information criterion (BIC). In general, the Richards growth equation provided better fits to experimental data than the other models. However, for some animals, different models exhibited better performance. It was obtained a possible interpretation for the shape parameter, in such a way that can provide useful insights to predict animal growth behavior. Comparing non-linear mathematical models to describe growth of different animals |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-02-07 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/31366 10.4025/actascianimsci.v39i1.31366 |
url |
https://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/31366 |
identifier_str_mv |
10.4025/actascianimsci.v39i1.31366 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/31366/pdf |
dc.rights.driver.fl_str_mv |
Copyright (c) 2017 Acta Scientiarum. Animal Sciences info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2017 Acta Scientiarum. Animal Sciences |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Editora da Universidade Estadual de Maringá |
publisher.none.fl_str_mv |
Editora da Universidade Estadual de Maringá |
dc.source.none.fl_str_mv |
Acta Scientiarum. Animal Sciences; Vol 39 No 1 (2017); 73-81 Acta Scientiarum. Animal Sciences; v. 39 n. 1 (2017); 73-81 1807-8672 1806-2636 reponame:Acta Scientiarum. Animal Sciences (Online) instname:Universidade Estadual de Maringá (UEM) instacron:UEM |
instname_str |
Universidade Estadual de Maringá (UEM) |
instacron_str |
UEM |
institution |
UEM |
reponame_str |
Acta Scientiarum. Animal Sciences (Online) |
collection |
Acta Scientiarum. Animal Sciences (Online) |
repository.name.fl_str_mv |
Acta Scientiarum. Animal Sciences (Online) - Universidade Estadual de Maringá (UEM) |
repository.mail.fl_str_mv |
actaanim@uem.br||actaanim@uem.br|| rev.acta@gmail.com |
_version_ |
1799315361726726144 |