ANALYSIS OF THE DIFASICS GROWTH CURVE OF HEREFORD FEMALES BY THE GOMPERTZ NON-LINEAR FUNCTION
Autor(a) principal: | |
---|---|
Data de Publicação: | 2009 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Ciência animal brasileira (Online) |
Texto Completo: | https://revistas.ufg.br/vet/article/view/2249 |
Resumo: | This study had the objective to compare weight difasics Gompertz models applied in the study of Hereford females growth curves and to modeling the errors structure inherent to each model. The non-linear difasic Gompertz growth models were adjusted with three different errors structures: independent errors (IE), first-class auto-regressive (AR (1)) and second-class auto-regressive (AR (2)) to weight-age data of 55 Hereford females, evaluated since birth till 675 days old. The comparison between the models was carried out through on the biological interpretation basis of the parameters and in the adjustment of quality appraisers (adjusted determination coefficient, Durbin-Watson test, residual standard desviation, iterations number), beyond the Akaike information criteria (AIC) and the F test to model comparison. All studied functions, although showed good data adjustment, tend to sub estimate the adult animal weight.KEY WORDS: Auto-regressive errors, heterogenety of variances, non linear model. |
id |
UFG-7_4a1f8a80ecba752d99353e1171bff919 |
---|---|
oai_identifier_str |
oai:ojs.revistas.ufg.br:article/2249 |
network_acronym_str |
UFG-7 |
network_name_str |
Ciência animal brasileira (Online) |
repository_id_str |
|
spelling |
ANALYSIS OF THE DIFASICS GROWTH CURVE OF HEREFORD FEMALES BY THE GOMPERTZ NON-LINEAR FUNCTIONANÁLISE DA CURVA DE CRESCIMENTO DIFÁSICA DE FÊMEAS HEREFORD POR MEIO DA FUNÇÃO NÃO LINEAR DE GOMPERTZmodelo não-linearerros auto-regressivosheterogeneidade de variânciasThis study had the objective to compare weight difasics Gompertz models applied in the study of Hereford females growth curves and to modeling the errors structure inherent to each model. The non-linear difasic Gompertz growth models were adjusted with three different errors structures: independent errors (IE), first-class auto-regressive (AR (1)) and second-class auto-regressive (AR (2)) to weight-age data of 55 Hereford females, evaluated since birth till 675 days old. The comparison between the models was carried out through on the biological interpretation basis of the parameters and in the adjustment of quality appraisers (adjusted determination coefficient, Durbin-Watson test, residual standard desviation, iterations number), beyond the Akaike information criteria (AIC) and the F test to model comparison. All studied functions, although showed good data adjustment, tend to sub estimate the adult animal weight.KEY WORDS: Auto-regressive errors, heterogenety of variances, non linear model.O objetivo deste trabalho foi comparar modelos Gompertz difásicos ponderados aplicados ao estudo de curvas de crescimento de fêmeas Hereford e modelar à estrutura de erros, inerente a cada modelo. Sendo assim, ajustou-se o modelo de crescimento não linear Gompertz difásico com três diferentes estruturas de erros: erros independentes (EI), autorregressivos de primeira ordem (AR (1)) e autorregressivo de segunda ordem (AR (2)) a dados de peso-idade de 55 fêmeas da raça Hereford avaliados desde o nascimento até 675 dias de idade. A comparação entre os modelos foi realizada com base na interpretação biológica dos parâmetros e nos avaliadores de qualidade de ajuste (coeficiente de determinação ajustado, teste de Durbin-Watson, desvio- padrão residual, número de iterações) além do critério de informação de Akaike (AIC) e do teste F para comparação de modelos. Todas as funções estudadas, embora tenham mostrado um bom ajuste aos dados, tendem a subestimar o peso adulto do animal.PALAVRAS-CHAVES: Erros autorregressivos, heterogeneidade de variâncias, modelo não linear.Universidade Federal de Goiás2009-07-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado por paresPesquisa científicaapplication/pdfhttps://revistas.ufg.br/vet/article/view/224910.5216/cab.v10i2.2249Brazilian Animal Science/ Ciência Animal Brasileira; Vol. 10 No. 2 (2009); 454-461Ciência Animal Brasileira / Brazilian Animal Science; v. 10 n. 2 (2009); 454-4611809-68911518-2797reponame:Ciência animal brasileira (Online)instname:Universidade Federal de Goiás (UFG)instacron:UFGporhttps://revistas.ufg.br/vet/article/view/2249/4834Mendes, Patrícia NevesMuniz, Joel AugustoSilva, Fabyano Fonseca eMazzini, Ana Rita de Assumpçãoda Silva, Natascha Almeida Marquesinfo:eu-repo/semantics/openAccess2009-07-03T14:37:09Zoai:ojs.revistas.ufg.br:article/2249Revistahttps://revistas.ufg.br/vetPUBhttps://revistas.ufg.br/vet/oai||revistacab@gmail.com1809-68911518-2797opendoar:2009-07-03T14:37:09Ciência animal brasileira (Online) - Universidade Federal de Goiás (UFG)false |
dc.title.none.fl_str_mv |
ANALYSIS OF THE DIFASICS GROWTH CURVE OF HEREFORD FEMALES BY THE GOMPERTZ NON-LINEAR FUNCTION ANÁLISE DA CURVA DE CRESCIMENTO DIFÁSICA DE FÊMEAS HEREFORD POR MEIO DA FUNÇÃO NÃO LINEAR DE GOMPERTZ |
title |
ANALYSIS OF THE DIFASICS GROWTH CURVE OF HEREFORD FEMALES BY THE GOMPERTZ NON-LINEAR FUNCTION |
spellingShingle |
ANALYSIS OF THE DIFASICS GROWTH CURVE OF HEREFORD FEMALES BY THE GOMPERTZ NON-LINEAR FUNCTION Mendes, Patrícia Neves modelo não-linear erros auto-regressivos heterogeneidade de variâncias |
title_short |
ANALYSIS OF THE DIFASICS GROWTH CURVE OF HEREFORD FEMALES BY THE GOMPERTZ NON-LINEAR FUNCTION |
title_full |
ANALYSIS OF THE DIFASICS GROWTH CURVE OF HEREFORD FEMALES BY THE GOMPERTZ NON-LINEAR FUNCTION |
title_fullStr |
ANALYSIS OF THE DIFASICS GROWTH CURVE OF HEREFORD FEMALES BY THE GOMPERTZ NON-LINEAR FUNCTION |
title_full_unstemmed |
ANALYSIS OF THE DIFASICS GROWTH CURVE OF HEREFORD FEMALES BY THE GOMPERTZ NON-LINEAR FUNCTION |
title_sort |
ANALYSIS OF THE DIFASICS GROWTH CURVE OF HEREFORD FEMALES BY THE GOMPERTZ NON-LINEAR FUNCTION |
author |
Mendes, Patrícia Neves |
author_facet |
Mendes, Patrícia Neves Muniz, Joel Augusto Silva, Fabyano Fonseca e Mazzini, Ana Rita de Assumpção da Silva, Natascha Almeida Marques |
author_role |
author |
author2 |
Muniz, Joel Augusto Silva, Fabyano Fonseca e Mazzini, Ana Rita de Assumpção da Silva, Natascha Almeida Marques |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Mendes, Patrícia Neves Muniz, Joel Augusto Silva, Fabyano Fonseca e Mazzini, Ana Rita de Assumpção da Silva, Natascha Almeida Marques |
dc.subject.por.fl_str_mv |
modelo não-linear erros auto-regressivos heterogeneidade de variâncias |
topic |
modelo não-linear erros auto-regressivos heterogeneidade de variâncias |
description |
This study had the objective to compare weight difasics Gompertz models applied in the study of Hereford females growth curves and to modeling the errors structure inherent to each model. The non-linear difasic Gompertz growth models were adjusted with three different errors structures: independent errors (IE), first-class auto-regressive (AR (1)) and second-class auto-regressive (AR (2)) to weight-age data of 55 Hereford females, evaluated since birth till 675 days old. The comparison between the models was carried out through on the biological interpretation basis of the parameters and in the adjustment of quality appraisers (adjusted determination coefficient, Durbin-Watson test, residual standard desviation, iterations number), beyond the Akaike information criteria (AIC) and the F test to model comparison. All studied functions, although showed good data adjustment, tend to sub estimate the adult animal weight.KEY WORDS: Auto-regressive errors, heterogenety of variances, non linear model. |
publishDate |
2009 |
dc.date.none.fl_str_mv |
2009-07-02 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Avaliado por pares Pesquisa científica |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://revistas.ufg.br/vet/article/view/2249 10.5216/cab.v10i2.2249 |
url |
https://revistas.ufg.br/vet/article/view/2249 |
identifier_str_mv |
10.5216/cab.v10i2.2249 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://revistas.ufg.br/vet/article/view/2249/4834 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Goiás |
publisher.none.fl_str_mv |
Universidade Federal de Goiás |
dc.source.none.fl_str_mv |
Brazilian Animal Science/ Ciência Animal Brasileira; Vol. 10 No. 2 (2009); 454-461 Ciência Animal Brasileira / Brazilian Animal Science; v. 10 n. 2 (2009); 454-461 1809-6891 1518-2797 reponame:Ciência animal brasileira (Online) instname:Universidade Federal de Goiás (UFG) instacron:UFG |
instname_str |
Universidade Federal de Goiás (UFG) |
instacron_str |
UFG |
institution |
UFG |
reponame_str |
Ciência animal brasileira (Online) |
collection |
Ciência animal brasileira (Online) |
repository.name.fl_str_mv |
Ciência animal brasileira (Online) - Universidade Federal de Goiás (UFG) |
repository.mail.fl_str_mv |
||revistacab@gmail.com |
_version_ |
1789440217435865088 |