Growth Patterns of Two Chinese Native Goose Breeds

Detalhes bibliográficos
Autor(a) principal: Ibtisham,F
Data de Publicação: 2017
Outros Autores: An,L, Li,T, Niu,Y, Xiao,M, Zhang,L, Jia,R
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Poultry Science (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-635X2017000200203
Resumo: ABSTRACT To study the development rules of Chinese native geese, two breeds, Shitou and Sichuan White geese were analyzed from 0 to 12 weeks of age. The growth curves were fitted with commonly used four kinds of nonlinear models (Logistic, Gompertz, Von Bertalanffy and Richards). The results showed that the growth curves were appropriately fitted with all four models but the Logistic and Richards both had the best fitting with growth curve (R2>0.99). Analyzing the fitting parameters of the Logistic and Richards, we found that male Shitou had the highest adult body weight while Sichuan White female had the lowest weight. In Shitou breed, Shape parameter Predicted with Richards model was corresponded with Gompertz curve, while in Sichuan breed it was in between Gompertz and Bertalanffy. Growth parameters predicted with Logistic model was much more closed to observed value as compared others. So overall logistic was the best model to analyze the growth curve in Chinese native goose and Shitou goose had excellent growth performance when compared to Sichuan White.
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spelling Growth Patterns of Two Chinese Native Goose BreedsGooseChinese native breedsBody WeightGrowth Curvenonlinear models.ABSTRACT To study the development rules of Chinese native geese, two breeds, Shitou and Sichuan White geese were analyzed from 0 to 12 weeks of age. The growth curves were fitted with commonly used four kinds of nonlinear models (Logistic, Gompertz, Von Bertalanffy and Richards). The results showed that the growth curves were appropriately fitted with all four models but the Logistic and Richards both had the best fitting with growth curve (R2>0.99). Analyzing the fitting parameters of the Logistic and Richards, we found that male Shitou had the highest adult body weight while Sichuan White female had the lowest weight. In Shitou breed, Shape parameter Predicted with Richards model was corresponded with Gompertz curve, while in Sichuan breed it was in between Gompertz and Bertalanffy. Growth parameters predicted with Logistic model was much more closed to observed value as compared others. So overall logistic was the best model to analyze the growth curve in Chinese native goose and Shitou goose had excellent growth performance when compared to Sichuan White.Fundacao de Apoio a Ciência e Tecnologia Avicolas2017-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-635X2017000200203Brazilian Journal of Poultry Science v.19 n.2 2017reponame:Brazilian Journal of Poultry Science (Online)instname:Fundação APINCO de Ciência e Tecnologia Avícolas (FACTA)instacron:FACTA10.1590/1806-9061-2016-0395info:eu-repo/semantics/openAccessIbtisham,FAn,LLi,TNiu,YXiao,MZhang,LJia,Reng2017-08-07T00:00:00Zoai:scielo:S1516-635X2017000200203Revistahttp://www.scielo.br/rbcahttps://old.scielo.br/oai/scielo-oai.php||rvfacta@terra.com.br1806-90611516-635Xopendoar:2017-08-07T00:00Brazilian Journal of Poultry Science (Online) - Fundação APINCO de Ciência e Tecnologia Avícolas (FACTA)false
dc.title.none.fl_str_mv Growth Patterns of Two Chinese Native Goose Breeds
title Growth Patterns of Two Chinese Native Goose Breeds
spellingShingle Growth Patterns of Two Chinese Native Goose Breeds
Ibtisham,F
Goose
Chinese native breeds
Body Weight
Growth Curve
nonlinear models.
title_short Growth Patterns of Two Chinese Native Goose Breeds
title_full Growth Patterns of Two Chinese Native Goose Breeds
title_fullStr Growth Patterns of Two Chinese Native Goose Breeds
title_full_unstemmed Growth Patterns of Two Chinese Native Goose Breeds
title_sort Growth Patterns of Two Chinese Native Goose Breeds
author Ibtisham,F
author_facet Ibtisham,F
An,L
Li,T
Niu,Y
Xiao,M
Zhang,L
Jia,R
author_role author
author2 An,L
Li,T
Niu,Y
Xiao,M
Zhang,L
Jia,R
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Ibtisham,F
An,L
Li,T
Niu,Y
Xiao,M
Zhang,L
Jia,R
dc.subject.por.fl_str_mv Goose
Chinese native breeds
Body Weight
Growth Curve
nonlinear models.
topic Goose
Chinese native breeds
Body Weight
Growth Curve
nonlinear models.
description ABSTRACT To study the development rules of Chinese native geese, two breeds, Shitou and Sichuan White geese were analyzed from 0 to 12 weeks of age. The growth curves were fitted with commonly used four kinds of nonlinear models (Logistic, Gompertz, Von Bertalanffy and Richards). The results showed that the growth curves were appropriately fitted with all four models but the Logistic and Richards both had the best fitting with growth curve (R2>0.99). Analyzing the fitting parameters of the Logistic and Richards, we found that male Shitou had the highest adult body weight while Sichuan White female had the lowest weight. In Shitou breed, Shape parameter Predicted with Richards model was corresponded with Gompertz curve, while in Sichuan breed it was in between Gompertz and Bertalanffy. Growth parameters predicted with Logistic model was much more closed to observed value as compared others. So overall logistic was the best model to analyze the growth curve in Chinese native goose and Shitou goose had excellent growth performance when compared to Sichuan White.
publishDate 2017
dc.date.none.fl_str_mv 2017-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-635X2017000200203
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-635X2017000200203
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1806-9061-2016-0395
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 Fundacao de Apoio a Ciência e Tecnologia Avicolas
publisher.none.fl_str_mv Fundacao de Apoio a Ciência e Tecnologia Avicolas
dc.source.none.fl_str_mv Brazilian Journal of Poultry Science v.19 n.2 2017
reponame:Brazilian Journal of Poultry Science (Online)
instname:Fundação APINCO de Ciência e Tecnologia Avícolas (FACTA)
instacron:FACTA
instname_str Fundação APINCO de Ciência e Tecnologia Avícolas (FACTA)
instacron_str FACTA
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reponame_str Brazilian Journal of Poultry Science (Online)
collection Brazilian Journal of Poultry Science (Online)
repository.name.fl_str_mv Brazilian Journal of Poultry Science (Online) - Fundação APINCO de Ciência e Tecnologia Avícolas (FACTA)
repository.mail.fl_str_mv ||rvfacta@terra.com.br
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