Application of the logistic model to describe the growth curve in dogs of different breeds

ABSTRACT: Objective. To model the growth in dogs of different size and breeds that during their development showed a relative body weight according to the standards of their racial group. Materials and methods. The data used were obtained from the Canine Research Center (CIC), property of Empresa So...

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Autores:
Posada Ochoa, Sandra Lucía
Gómez Osorio, Luis Miguel
Rosero Noguera, Jaime Ricardo
Tipo de recurso:
Article of investigation
Fecha de publicación:
2014
Institución:
Universidad de Antioquia
Repositorio:
Repositorio UdeA
Idioma:
eng
spa
OAI Identifier:
oai:bibliotecadigital.udea.edu.co:10495/33934
Acceso en línea:
https://hdl.handle.net/10495/33934
Palabra clave:
Análisis de Regresión
Regression Analysis
Peso Corporal
Body Weight
Tamaño Corporal
Body Size
Perros
Dogs
Tasa de crecimiento
Growth rate
http://aims.fao.org/aos/agrovoc/c_16130
Rights
openAccess
License
https://creativecommons.org/licenses/by-nc-sa/4.0/
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repository_id_str
dc.title.spa.fl_str_mv Application of the logistic model to describe the growth curve in dogs of different breeds
dc.title.translated.spa.fl_str_mv Aplicación del modelo logístico para describir la curva de crecimiento en perros de diferentes razas
title Application of the logistic model to describe the growth curve in dogs of different breeds
spellingShingle Application of the logistic model to describe the growth curve in dogs of different breeds
Análisis de Regresión
Regression Analysis
Peso Corporal
Body Weight
Tamaño Corporal
Body Size
Perros
Dogs
Tasa de crecimiento
Growth rate
http://aims.fao.org/aos/agrovoc/c_16130
title_short Application of the logistic model to describe the growth curve in dogs of different breeds
title_full Application of the logistic model to describe the growth curve in dogs of different breeds
title_fullStr Application of the logistic model to describe the growth curve in dogs of different breeds
title_full_unstemmed Application of the logistic model to describe the growth curve in dogs of different breeds
title_sort Application of the logistic model to describe the growth curve in dogs of different breeds
dc.creator.fl_str_mv Posada Ochoa, Sandra Lucía
Gómez Osorio, Luis Miguel
Rosero Noguera, Jaime Ricardo
dc.contributor.author.none.fl_str_mv Posada Ochoa, Sandra Lucía
Gómez Osorio, Luis Miguel
Rosero Noguera, Jaime Ricardo
dc.contributor.researchgroup.spa.fl_str_mv Grupo de Investigación en Ciencias Agrarias -GRICA-
dc.subject.decs.none.fl_str_mv Análisis de Regresión
Regression Analysis
Peso Corporal
Body Weight
Tamaño Corporal
Body Size
Perros
Dogs
topic Análisis de Regresión
Regression Analysis
Peso Corporal
Body Weight
Tamaño Corporal
Body Size
Perros
Dogs
Tasa de crecimiento
Growth rate
http://aims.fao.org/aos/agrovoc/c_16130
dc.subject.agrovoc.none.fl_str_mv Tasa de crecimiento
Growth rate
dc.subject.agrovocuri.none.fl_str_mv http://aims.fao.org/aos/agrovoc/c_16130
description ABSTRACT: Objective. To model the growth in dogs of different size and breeds that during their development showed a relative body weight according to the standards of their racial group. Materials and methods. The data used were obtained from the Canine Research Center (CIC), property of Empresa Solla S.A., located in the municipality of Rionegro (Antioquia, Colombia). The parameters of the growth curve were defined based on the logistic model using the procedure PROC NLIN of the SAS. Results. The adult weight (a) ranged from 2.12 Kg (York Shire Terrier) to 32.88 Kg (Weimaraner). For small, medium and large breeds, growth rates (1/b) during the exponential phase ranged between 9.91- 18.91%, 9.12-13.83% and, 8.17-14.38%, respectively, and the average age at which 50% of the adult weight was reached (x0) was 3.49±0.03, 4.21±0.42 y 5.27±0.86 months, correspondingly. Large dog breeds reached maturity (T99) later than smaller breeds, 14.37±1.79 vs. 9.46±1.63 mo. Conclusions. The logistic model was able to describe the growth in dogs of different size, however, a larger sample size will improve its predictive ability, given the individual variability that characterizes growth.
publishDate 2014
dc.date.issued.none.fl_str_mv 2014
dc.date.accessioned.none.fl_str_mv 2023-03-12T16:40:59Z
dc.date.available.none.fl_str_mv 2023-03-12T16:40:59Z
dc.type.spa.fl_str_mv Artículo de investigación
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
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status_str publishedVersion
dc.identifier.citation.spa.fl_str_mv Posada O, S., Gomez O, L., & Rosero N, R. (2014). Application of the logistic model to describe the growth curve in dogs of different breeds. Revista MVZ Córdoba, 19(1), 2014. https://doi.org/10.21897/rmvz.121
dc.identifier.issn.none.fl_str_mv 0122-0268
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/10495/33934
dc.identifier.doi.none.fl_str_mv 10.21897/rmvz.121
dc.identifier.eissn.none.fl_str_mv 1909-0544
identifier_str_mv Posada O, S., Gomez O, L., & Rosero N, R. (2014). Application of the logistic model to describe the growth curve in dogs of different breeds. Revista MVZ Córdoba, 19(1), 2014. https://doi.org/10.21897/rmvz.121
0122-0268
10.21897/rmvz.121
1909-0544
url https://hdl.handle.net/10495/33934
dc.language.iso.spa.fl_str_mv eng
spa
language eng
spa
dc.relation.ispartofjournalabbrev.spa.fl_str_mv Rev. MVZ Córdoba.
dc.relation.citationendpage.spa.fl_str_mv 4022
dc.relation.citationissue.spa.fl_str_mv 1
dc.relation.citationstartpage.spa.fl_str_mv 4015
dc.relation.citationvolume.spa.fl_str_mv 19
dc.relation.ispartofjournal.spa.fl_str_mv Revista MVZ Córdoba
dc.rights.uri.spa.fl_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0/
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dc.format.extent.spa.fl_str_mv 8
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad de Córdoba, Facultad de Medicina Veterinaria y Zootecnia
dc.publisher.place.spa.fl_str_mv Montería, Colombia
dc.publisher.faculty.spa.fl_str_mv sin facultad - programa
institution Universidad de Antioquia
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spelling Posada Ochoa, Sandra LucíaGómez Osorio, Luis MiguelRosero Noguera, Jaime RicardoGrupo de Investigación en Ciencias Agrarias -GRICA-2023-03-12T16:40:59Z2023-03-12T16:40:59Z2014Posada O, S., Gomez O, L., & Rosero N, R. (2014). Application of the logistic model to describe the growth curve in dogs of different breeds. Revista MVZ Córdoba, 19(1), 2014. https://doi.org/10.21897/rmvz.1210122-0268https://hdl.handle.net/10495/3393410.21897/rmvz.1211909-0544ABSTRACT: Objective. To model the growth in dogs of different size and breeds that during their development showed a relative body weight according to the standards of their racial group. Materials and methods. The data used were obtained from the Canine Research Center (CIC), property of Empresa Solla S.A., located in the municipality of Rionegro (Antioquia, Colombia). The parameters of the growth curve were defined based on the logistic model using the procedure PROC NLIN of the SAS. Results. The adult weight (a) ranged from 2.12 Kg (York Shire Terrier) to 32.88 Kg (Weimaraner). For small, medium and large breeds, growth rates (1/b) during the exponential phase ranged between 9.91- 18.91%, 9.12-13.83% and, 8.17-14.38%, respectively, and the average age at which 50% of the adult weight was reached (x0) was 3.49±0.03, 4.21±0.42 y 5.27±0.86 months, correspondingly. Large dog breeds reached maturity (T99) later than smaller breeds, 14.37±1.79 vs. 9.46±1.63 mo. Conclusions. The logistic model was able to describe the growth in dogs of different size, however, a larger sample size will improve its predictive ability, given the individual variability that characterizes growth.RESUMEN: Objetivo. Modelar el crecimiento en perros de diferentes tamaños y razas, que durante su desarrollo exhibieron un peso corporal relativo acorde con los estándares de su grupo racial. Materiales y métodos. Los datos utilizados fueron obtenidos del Centro de Investigaciones Caninas (CIC) de la Empresa Solla S.A., ubicada en el municipio de Rionegro (Antioquia, Colombia). Los parámetros de la curva de crecimiento fueron definidos desde el modelo logístico utilizando el procedimiento PROC NLIN del programa estadístico SAS. Resultados. El peso de los adultos (a) fluctuó entre 2.12 Kg (York Shire Terrier) hasta 32.88 Kg (Weimaraner). Para las razas pequeñas, medianas y grandes, las tasas de crecimiento (1/b) durante la fase exponencial fluctuaron entre 9.91-18.91%, 9.12-13.83% y, 8.17-14.38%, respectivamente, y la edad media a la cual se alcanzó el 50% del peso adulto (xo) fue 3.49±0.03, 4.21±0.42 y 5.27±0.86 meses, correspondientemente. Las razas de perros grandes alcanzaron la madurez (T99) mucho más tarde que las razas de perros pequeños, 14.37±1.79 vs. 9.46±1.63 meses. Conclusiones. El modelo logístico fue adecuado para describir el crecimiento en perros de diferente tamaño, no obstante, un tamaño de muestra mayor mejoraría la capacidad predictiva del mismo, dada la variabilidad individual que caracteriza el crecimiento.COL00095568application/pdfengspaUniversidad de Córdoba, Facultad de Medicina Veterinaria y ZootecniaMontería, Colombiasin facultad - programahttps://creativecommons.org/licenses/by-nc-sa/4.0/http://creativecommons.org/licenses/by-nc-sa/2.5/co/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Application of the logistic model to describe the growth curve in dogs of different breedsAplicación del modelo logístico para describir la curva de crecimiento en perros de diferentes razasArtículo de investigaciónhttp://purl.org/coar/resource_type/c_2df8fbb1https://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAnálisis de RegresiónRegression AnalysisPeso CorporalBody WeightTamaño CorporalBody SizePerrosDogsTasa de crecimientoGrowth ratehttp://aims.fao.org/aos/agrovoc/c_16130Rev. 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