Adjusting weight growth curve of male quails Coturnix japonica reared in the semi-arid region of the State of Pernambuco
Autor(a) principal: | |
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Data de Publicação: | 2018 |
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/42563 |
Resumo: | This study adjusted different regression models to describe the growth pattern of meat quails from birth to 42 days of age. Data of 300 male quails were used. Weight and height information of all quails were collected weekly from the 1st to the 42nd day of age. Body weight of poultry was subjected to the polynomial, logistic, Gompertz, Weibull, and log-normal regression models. The criteria used to choose the best model to explain the growth curve of quails were the coefficient of determination of the model, Akaike’s information criterion, sum of squared residuals and Willmott’s index. For all the models used, the variables age and height were significant to explain the weight of quails. The polynomial (R² = 99.99%, AIC = 24.68, SSR = 27.5, d = 0.9999) and log-normal (R² = 99.60%, AIC = -17.5, SSR = 107.15, d = 0.9989) models presented the best fit criteria and were recommended to explain the growth of quails. |
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Acta Scientiarum. Animal Sciences (Online) |
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Adjusting weight growth curve of male quails Coturnix japonica reared in the semi-arid region of the State of Pernambucomodellingpoultryregression model.This study adjusted different regression models to describe the growth pattern of meat quails from birth to 42 days of age. Data of 300 male quails were used. Weight and height information of all quails were collected weekly from the 1st to the 42nd day of age. Body weight of poultry was subjected to the polynomial, logistic, Gompertz, Weibull, and log-normal regression models. The criteria used to choose the best model to explain the growth curve of quails were the coefficient of determination of the model, Akaike’s information criterion, sum of squared residuals and Willmott’s index. For all the models used, the variables age and height were significant to explain the weight of quails. The polynomial (R² = 99.99%, AIC = 24.68, SSR = 27.5, d = 0.9999) and log-normal (R² = 99.60%, AIC = -17.5, SSR = 107.15, d = 0.9989) models presented the best fit criteria and were recommended to explain the growth of quails.Editora da Universidade Estadual de Maringá2018-12-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/4256310.4025/actascianimsci.v41i1.42563Acta Scientiarum. Animal Sciences; Vol 41 (2019): Publicação Contínua; e42563Acta Scientiarum. Animal Sciences; v. 41 (2019): Publicação Contínua; e425631807-86721806-2636reponame:Acta Scientiarum. Animal Sciences (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttps://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/42563/pdfCopyright (c) 2018 Acta Scientiarum. Animal Scienceshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessLucena, Leandro Ricardo Rodrigues deHolanda, Marco Aurélio Carneiro deHolanda, Mônica Calixto Ribeiro deAnjos, Marcelo Lopes dos2019-07-17T08:32:20Zoai:periodicos.uem.br/ojs:article/42563Revistahttp://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:2019-07-17T08:32:20Acta Scientiarum. Animal Sciences (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
Adjusting weight growth curve of male quails Coturnix japonica reared in the semi-arid region of the State of Pernambuco |
title |
Adjusting weight growth curve of male quails Coturnix japonica reared in the semi-arid region of the State of Pernambuco |
spellingShingle |
Adjusting weight growth curve of male quails Coturnix japonica reared in the semi-arid region of the State of Pernambuco Lucena, Leandro Ricardo Rodrigues de modelling poultry regression model. |
title_short |
Adjusting weight growth curve of male quails Coturnix japonica reared in the semi-arid region of the State of Pernambuco |
title_full |
Adjusting weight growth curve of male quails Coturnix japonica reared in the semi-arid region of the State of Pernambuco |
title_fullStr |
Adjusting weight growth curve of male quails Coturnix japonica reared in the semi-arid region of the State of Pernambuco |
title_full_unstemmed |
Adjusting weight growth curve of male quails Coturnix japonica reared in the semi-arid region of the State of Pernambuco |
title_sort |
Adjusting weight growth curve of male quails Coturnix japonica reared in the semi-arid region of the State of Pernambuco |
author |
Lucena, Leandro Ricardo Rodrigues de |
author_facet |
Lucena, Leandro Ricardo Rodrigues de Holanda, Marco Aurélio Carneiro de Holanda, Mônica Calixto Ribeiro de Anjos, Marcelo Lopes dos |
author_role |
author |
author2 |
Holanda, Marco Aurélio Carneiro de Holanda, Mônica Calixto Ribeiro de Anjos, Marcelo Lopes dos |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Lucena, Leandro Ricardo Rodrigues de Holanda, Marco Aurélio Carneiro de Holanda, Mônica Calixto Ribeiro de Anjos, Marcelo Lopes dos |
dc.subject.por.fl_str_mv |
modelling poultry regression model. |
topic |
modelling poultry regression model. |
description |
This study adjusted different regression models to describe the growth pattern of meat quails from birth to 42 days of age. Data of 300 male quails were used. Weight and height information of all quails were collected weekly from the 1st to the 42nd day of age. Body weight of poultry was subjected to the polynomial, logistic, Gompertz, Weibull, and log-normal regression models. The criteria used to choose the best model to explain the growth curve of quails were the coefficient of determination of the model, Akaike’s information criterion, sum of squared residuals and Willmott’s index. For all the models used, the variables age and height were significant to explain the weight of quails. The polynomial (R² = 99.99%, AIC = 24.68, SSR = 27.5, d = 0.9999) and log-normal (R² = 99.60%, AIC = -17.5, SSR = 107.15, d = 0.9989) models presented the best fit criteria and were recommended to explain the growth of quails. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-12-03 |
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/42563 10.4025/actascianimsci.v41i1.42563 |
url |
https://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/42563 |
identifier_str_mv |
10.4025/actascianimsci.v41i1.42563 |
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/42563/pdf |
dc.rights.driver.fl_str_mv |
Copyright (c) 2018 Acta Scientiarum. Animal Sciences https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2018 Acta Scientiarum. Animal Sciences https://creativecommons.org/licenses/by/4.0 |
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 41 (2019): Publicação Contínua; e42563 Acta Scientiarum. Animal Sciences; v. 41 (2019): Publicação Contínua; e42563 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_ |
1799315362364260352 |