Comparison of B-splines and non-linear functions to describe growth patterns and predict mature weight of female beef cattle

The objective of this study was to compare the ability of Basis spline (B-spline) models and five non-linear functions (Richards, Brody, Von Bertalanffy, Gompertz and Logistic) to describe the growth of females of a beef cattle breed and predict cow mature weight (A). Random regression models that i...

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Autores: Gano, G., Blanco Alibés, Mireia, Casasús Pueyo, Isabel, Cortés Lacruz, Xavier, Villalba Mata, Daniel
Tipo de documento: artigo
Estado:Versión aceptada para publicación
Data de publicação:2016
País:España
Recursos:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositório:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10459.1/63071
Acesso em linha:https://doi.org/10.1071/AN15089
http://hdl.handle.net/10459.1/63071
Access Level:Acceso aberto
Palavra-chave:Growth curve
B-spline
Random regression
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spelling Comparison of B-splines and non-linear functions to describe growth patterns and predict mature weight of female beef cattleGano, G.Blanco Alibés, MireiaCasasús Pueyo, IsabelCortés Lacruz, XavierVillalba Mata, DanielGrowth curveB-splineRandom regressionThe objective of this study was to compare the ability of Basis spline (B-spline) models and five non-linear functions (Richards, Brody, Von Bertalanffy, Gompertz and Logistic) to describe the growth of females of a beef cattle breed and predict cow mature weight (A). Random regression models that included animal variation within function parameters were fitted using mixed model procedures. Comparisons were made among these functions for goodness of fit, standardised residuals and biological interpretability of the growth curve parameters. The B-spline function showed the best goodness of fit and within non-linear functions, the Richards and Von Bertalanffy functions estimated bodyweight at different periods accurately. The method of fitting the residual variance that provided the best goodness of fit in the model was the constant plus power variance function. The Richards function was found to be the best non-linear function and was compared with the B-spline function to predict mature weight. When the A parameter was estimated using fixed effects, it had a low correlation with the actual mature weight of the cow and the use of this estimate yielded no more gain in predictive accuracy of mature weight than the use of average breed mature weight. When A was estimated using fixed and random effects, it had a moderate correlation with actual mature weight for the B-spline and Richards functions. The use of both types of effects to estimate the maturity index reduced the error compared with the use of average mature weight, especially for the B-spline function, which is recommended as the best function to describe animal growth and predict mature weight.The authors recognise the CITA farm staff working at La Garcipollera and Zaragoza Research Stations for their technical support. This research was funded by INIA (RZP2009–005, RTA2010–057) and the European Regional Development Fund.CSIRO Publishing2018201820162018info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://doi.org/10.1071/AN15089http://hdl.handle.net/10459.1/63071http://hdl.handle.net/10459.1/63071reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésVersió postprint del document publicat a: https://doi.org/10.1071/AN15089Animal Production Science, 2016, vol. 56, p. 1787-1798(c) CSIRO, 2016info:eu-repo/semantics/openAccessoai:recercat.cat:10459.1/630712026-05-29T05:05:01Z
dc.title.none.fl_str_mv Comparison of B-splines and non-linear functions to describe growth patterns and predict mature weight of female beef cattle
title Comparison of B-splines and non-linear functions to describe growth patterns and predict mature weight of female beef cattle
spellingShingle Comparison of B-splines and non-linear functions to describe growth patterns and predict mature weight of female beef cattle
Gano, G.
Growth curve
B-spline
Random regression
title_short Comparison of B-splines and non-linear functions to describe growth patterns and predict mature weight of female beef cattle
title_full Comparison of B-splines and non-linear functions to describe growth patterns and predict mature weight of female beef cattle
title_fullStr Comparison of B-splines and non-linear functions to describe growth patterns and predict mature weight of female beef cattle
title_full_unstemmed Comparison of B-splines and non-linear functions to describe growth patterns and predict mature weight of female beef cattle
title_sort Comparison of B-splines and non-linear functions to describe growth patterns and predict mature weight of female beef cattle
dc.creator.none.fl_str_mv Gano, G.
Blanco Alibés, Mireia
Casasús Pueyo, Isabel
Cortés Lacruz, Xavier
Villalba Mata, Daniel
author Gano, G.
author_facet Gano, G.
Blanco Alibés, Mireia
Casasús Pueyo, Isabel
Cortés Lacruz, Xavier
Villalba Mata, Daniel
author_role author
author2 Blanco Alibés, Mireia
Casasús Pueyo, Isabel
Cortés Lacruz, Xavier
Villalba Mata, Daniel
author2_role author
author
author
author
dc.subject.none.fl_str_mv Growth curve
B-spline
Random regression
topic Growth curve
B-spline
Random regression
description The objective of this study was to compare the ability of Basis spline (B-spline) models and five non-linear functions (Richards, Brody, Von Bertalanffy, Gompertz and Logistic) to describe the growth of females of a beef cattle breed and predict cow mature weight (A). Random regression models that included animal variation within function parameters were fitted using mixed model procedures. Comparisons were made among these functions for goodness of fit, standardised residuals and biological interpretability of the growth curve parameters. The B-spline function showed the best goodness of fit and within non-linear functions, the Richards and Von Bertalanffy functions estimated bodyweight at different periods accurately. The method of fitting the residual variance that provided the best goodness of fit in the model was the constant plus power variance function. The Richards function was found to be the best non-linear function and was compared with the B-spline function to predict mature weight. When the A parameter was estimated using fixed effects, it had a low correlation with the actual mature weight of the cow and the use of this estimate yielded no more gain in predictive accuracy of mature weight than the use of average breed mature weight. When A was estimated using fixed and random effects, it had a moderate correlation with actual mature weight for the B-spline and Richards functions. The use of both types of effects to estimate the maturity index reduced the error compared with the use of average mature weight, especially for the B-spline function, which is recommended as the best function to describe animal growth and predict mature weight.
publishDate 2016
dc.date.none.fl_str_mv 2016
2018
2018
2018
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.1071/AN15089
http://hdl.handle.net/10459.1/63071
http://hdl.handle.net/10459.1/63071
url https://doi.org/10.1071/AN15089
http://hdl.handle.net/10459.1/63071
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Versió postprint del document publicat a: https://doi.org/10.1071/AN15089
Animal Production Science, 2016, vol. 56, p. 1787-1798
dc.rights.none.fl_str_mv (c) CSIRO, 2016
info:eu-repo/semantics/openAccess
rights_invalid_str_mv (c) CSIRO, 2016
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv CSIRO Publishing
publisher.none.fl_str_mv CSIRO Publishing
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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