Nonlinear models for the description of the growth of early culling guinea pigs (Cavia porcellus)

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The aim of this study was to evaluate the non-linear Gompertz, logistic, Von Bertalanffi and Richards models to find the model that best describes the growth of early culling guinea pigs. The research was carried out in a commercial farm of Peru breed guinea pigs located in the province of Huaura, P...

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Autores: Vega-Vilca, Jaime Fernando, Maguiña-Maza, Rufino Maximo, Cipriano Bautista, Johnny Gregorio, Vega-Cadillo, Claudio Andrés
Formato: artículo
Fecha de Publicación:2023
Institución:Universidad Nacional Mayor de San Marcos
Repositorio:Revistas - Universidad Nacional Mayor de San Marcos
Lenguaje:español
OAI Identifier:oai:ojs.csi.unmsm:article/24409
Enlace del recurso:https://revistasinvestigacion.unmsm.edu.pe/index.php/veterinaria/article/view/24409
Nivel de acceso:acceso abierto
Materia:Gompertz
logistic
Von Bertalanffi
Richards
adjusted model
prediction
logístico
modelo ajustado
predicción
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spelling Nonlinear models for the description of the growth of early culling guinea pigs (Cavia porcellus)Modelos no lineales para la descripción del crecimiento de cuyes (Cavia porcellus) de saca tempranaVega-Vilca, Jaime FernandoMaguiña-Maza, Rufino Maximo Cipriano Bautista, Johnny GregorioVega-Cadillo, Claudio AndrésVega-Vilca, Jaime FernandoMaguiña-Maza, Rufino Maximo Cipriano Bautista, Johnny GregorioVega-Cadillo, Claudio AndrésGompertzlogisticVon BertalanffiRichardsadjusted modelpredictionGompertzlogísticoVon BertalanffiRichardsmodelo ajustadopredicciónThe aim of this study was to evaluate the non-linear Gompertz, logistic, Von Bertalanffi and Richards models to find the model that best describes the growth of early culling guinea pigs. The research was carried out in a commercial farm of Peru breed guinea pigs located in the province of Huaura, Peru. Ten males and 12 females were used, which were periodically weighed from birth to 69 days. The feeding was basically with green fodder. The degree of adjustment of the non-linear models of the weight and age of the animals was evaluated through the mean square of the error (CME) and the Akaike (AIC) and Bayesian (BIC) criteria. The logistic non-linear model was the one that best described the growth of the guinea pigs fed with green forage and allowed the elaboration of the growth standard for early culling.El objetivo del estudio fue evaluar los modelos no lineales Gompertz, logístico, Von Bertalanffi y Richards para hallar el modelo que mejor describa el crecimiento de cuyes de saca temprana. La investigación se desarrolló en una granja comercial de cuyes de raza Perú ubicada en la provincia de Huaura, Perú. Se utilizaron 10 machos y 12 hembras que fueron pesados periódicamente desde el nacimiento hasta los 69 días. La alimentación fue básicamente con forraje verde (maíz chala). El grado de ajuste de los modelos no lineales del peso y edad de los animales fue evaluado a través del cuadrado medio del error (CME) y los criterios Akaike (AIC) y Bayesiano (BIC). El modelo no lineal logístico fue el que mejor describió el crecimiento de los cuyes alimentados con forraje verde y permitió elaborar el estándar de crecimiento a la saca temprana.Universidad Nacional Mayor de San Marcos, Facultad de Medicina Veterinaria2023-08-25info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistasinvestigacion.unmsm.edu.pe/index.php/veterinaria/article/view/2440910.15381/rivep.v34i4.24409Revista de Investigaciones Veterinarias del Perú; Vol. 34 Núm. 4 (2023); e24409Revista de Investigaciones Veterinarias del Perú; Vol. 34 No. 4 (2023); e244091682-34191609-9117reponame:Revistas - Universidad Nacional Mayor de San Marcosinstname:Universidad Nacional Mayor de San Marcosinstacron:UNMSMspahttps://revistasinvestigacion.unmsm.edu.pe/index.php/veterinaria/article/view/24409/19864Derechos de autor 2023 Jaime Fernando Vega-Vilca, Rufino Maximo Maguiña-Maza, Johnny Gregorio Cipriano Bautista, Claudio Andrés Vega-Cadillohttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessoai:ojs.csi.unmsm:article/244092023-08-25T19:43:49Z
dc.title.none.fl_str_mv Nonlinear models for the description of the growth of early culling guinea pigs (Cavia porcellus)
Modelos no lineales para la descripción del crecimiento de cuyes (Cavia porcellus) de saca temprana
title Nonlinear models for the description of the growth of early culling guinea pigs (Cavia porcellus)
spellingShingle Nonlinear models for the description of the growth of early culling guinea pigs (Cavia porcellus)
Vega-Vilca, Jaime Fernando
Gompertz
logistic
Von Bertalanffi
Richards
adjusted model
prediction
Gompertz
logístico
Von Bertalanffi
Richards
modelo ajustado
predicción
title_short Nonlinear models for the description of the growth of early culling guinea pigs (Cavia porcellus)
title_full Nonlinear models for the description of the growth of early culling guinea pigs (Cavia porcellus)
title_fullStr Nonlinear models for the description of the growth of early culling guinea pigs (Cavia porcellus)
title_full_unstemmed Nonlinear models for the description of the growth of early culling guinea pigs (Cavia porcellus)
title_sort Nonlinear models for the description of the growth of early culling guinea pigs (Cavia porcellus)
dc.creator.none.fl_str_mv Vega-Vilca, Jaime Fernando
Maguiña-Maza, Rufino Maximo
Cipriano Bautista, Johnny Gregorio
Vega-Cadillo, Claudio Andrés
Vega-Vilca, Jaime Fernando
Maguiña-Maza, Rufino Maximo
Cipriano Bautista, Johnny Gregorio
Vega-Cadillo, Claudio Andrés
author Vega-Vilca, Jaime Fernando
author_facet Vega-Vilca, Jaime Fernando
Maguiña-Maza, Rufino Maximo
Cipriano Bautista, Johnny Gregorio
Vega-Cadillo, Claudio Andrés
author_role author
author2 Maguiña-Maza, Rufino Maximo
Cipriano Bautista, Johnny Gregorio
Vega-Cadillo, Claudio Andrés
author2_role author
author
author
dc.subject.none.fl_str_mv Gompertz
logistic
Von Bertalanffi
Richards
adjusted model
prediction
Gompertz
logístico
Von Bertalanffi
Richards
modelo ajustado
predicción
topic Gompertz
logistic
Von Bertalanffi
Richards
adjusted model
prediction
Gompertz
logístico
Von Bertalanffi
Richards
modelo ajustado
predicción
description The aim of this study was to evaluate the non-linear Gompertz, logistic, Von Bertalanffi and Richards models to find the model that best describes the growth of early culling guinea pigs. The research was carried out in a commercial farm of Peru breed guinea pigs located in the province of Huaura, Peru. Ten males and 12 females were used, which were periodically weighed from birth to 69 days. The feeding was basically with green fodder. The degree of adjustment of the non-linear models of the weight and age of the animals was evaluated through the mean square of the error (CME) and the Akaike (AIC) and Bayesian (BIC) criteria. The logistic non-linear model was the one that best described the growth of the guinea pigs fed with green forage and allowed the elaboration of the growth standard for early culling.
publishDate 2023
dc.date.none.fl_str_mv 2023-08-25
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistasinvestigacion.unmsm.edu.pe/index.php/veterinaria/article/view/24409
10.15381/rivep.v34i4.24409
url https://revistasinvestigacion.unmsm.edu.pe/index.php/veterinaria/article/view/24409
identifier_str_mv 10.15381/rivep.v34i4.24409
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistasinvestigacion.unmsm.edu.pe/index.php/veterinaria/article/view/24409/19864
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://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 Universidad Nacional Mayor de San Marcos, Facultad de Medicina Veterinaria
publisher.none.fl_str_mv Universidad Nacional Mayor de San Marcos, Facultad de Medicina Veterinaria
dc.source.none.fl_str_mv Revista de Investigaciones Veterinarias del Perú; Vol. 34 Núm. 4 (2023); e24409
Revista de Investigaciones Veterinarias del Perú; Vol. 34 No. 4 (2023); e24409
1682-3419
1609-9117
reponame:Revistas - Universidad Nacional Mayor de San Marcos
instname:Universidad Nacional Mayor de San Marcos
instacron:UNMSM
instname_str Universidad Nacional Mayor de San Marcos
instacron_str UNMSM
institution UNMSM
reponame_str Revistas - Universidad Nacional Mayor de San Marcos
collection Revistas - Universidad Nacional Mayor de San Marcos
repository.name.fl_str_mv
repository.mail.fl_str_mv
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