Prediction of carcass weight at the age of slaughtering in guinea pigs of the Cieneguilla genotype based on a synthesis of body measurements
Descripción del Articulo
The objective of the present study was to predict carcass weight (PC) in guinea pigs (Cavia porcellus) at the age of slaughtering (16±2 weeks), considering their biometric measurements. The following measures and weights were taken before and after the slaughter of 150 male guinea pigs of the Cieneg...
Autores: | , , , |
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Formato: | artículo |
Fecha de Publicación: | 2018 |
Institución: | Universidad Nacional Mayor de San Marcos |
Repositorio: | Revistas - Universidad Nacional Mayor de San Marcos |
Lenguaje: | español |
OAI Identifier: | oai:ojs.csi.unmsm:article/14476 |
Enlace del recurso: | https://revistasinvestigacion.unmsm.edu.pe/index.php/veterinaria/article/view/14476 |
Nivel de acceso: | acceso abierto |
Materia: | guinea pig carcass yield body measurements selection cuy rendimiento de carcasa medidas corporales selección |
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Prediction of carcass weight at the age of slaughtering in guinea pigs of the Cieneguilla genotype based on a synthesis of body measurementsPredicción de peso de carcasa a la edad de beneficio en cuyes del genotipo Cieneguilla con base a una síntesis de medidas corporalesArias, Pablo RubioChávez C., JuanFebres, GrimaldoDeza C., Hugoguinea pigcarcass yieldbody measurementsselectioncuyrendimiento de carcasamedidas corporalesselecciónThe objective of the present study was to predict carcass weight (PC) in guinea pigs (Cavia porcellus) at the age of slaughtering (16±2 weeks), considering their biometric measurements. The following measures and weights were taken before and after the slaughter of 150 male guinea pigs of the Cieneguilla genotype: live body weight (PV), body length (LC), head length (LCA), head width (AC), loin length (LL), loin width (AL), chest girth (PT), thigh perimeter (PM), thigh length (LM), arm perimeter (PB), arm length (LB), and rump middle square (CMG), as well as the carcass weight (PC). The data were analyzed to determine the best regression equation and to establish the best predictive linear model of carcass weight. The «Step-Wise Regression» process of the SAS statistical package was used. The combinations of independent variables in the model revealed that the variables PV, PT, AC, and LL give a better explanation of the CP at the benefit age (R2=0.71; Cp-Mallows=1.63).El objetivo del presente estudio fue predecir el peso de carcasa (PC) en cuyes (Cavia porcellus) a la edad de beneficio (16 ± 2 semanas), tomando como referencia sus medidas biométricas. Se tomaron las siguientes medidas y pesos antes y después del beneficio a 150 cuyes machos del genotipo Cieneguilla: peso vivo al beneficio (PV), largo de cuerpo (LC), largo de cabeza (LCA), ancho de cabeza (AC), largo de lomo (LL), ancho de lomo (AL), perímetro torácico (PT), perímetro de muslo (PM), largo de muslo (LM), perímetro de brazuelo (PB), largo de brazuelo (LB) y cuadrado medio de la grupa (CMG), así como el peso de carcasa (PC). Los datos fueron analizados para determinar la mejor ecuación de regresión y establecer el mejor modelo lineal predictivo del peso de carcasa. Se utilizó el proceso «Step-Wise Regression» del paquete estadístico SAS. Las combinaciones de variables independientes en el modelo revelaron que las variables PV, PT, AC y LL dan una mejor explicación del PC a la edad de beneficio (R2 =0.71; Cp-Mallows=1.63).Universidad Nacional Mayor de San Marcos, Facultad de Medicina Veterinaria2018-05-31info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttps://revistasinvestigacion.unmsm.edu.pe/index.php/veterinaria/article/view/1447610.15381/rivep.v29i2.14476Revista de Investigaciones Veterinarias del Perú; Vol. 29 Núm. 2 (2018); 507-513Revista de Investigaciones Veterinarias del Perú; Vol. 29 No. 2 (2018); 507-5131682-34191609-9117reponame:Revistas - Universidad Nacional Mayor de San Marcosinstname:Universidad Nacional Mayor de San Marcosinstacron:UNMSMspahttps://revistasinvestigacion.unmsm.edu.pe/index.php/veterinaria/article/view/14476/12829https://revistasinvestigacion.unmsm.edu.pe/index.php/veterinaria/article/view/14476/13949Derechos de autor 2018 Pablo Rubio Arias, Juan Chávez C., Grimaldo Febres, Hugo Deza C.https://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccessoai:ojs.csi.unmsm:article/144762018-12-21T09:58:48Z |
dc.title.none.fl_str_mv |
Prediction of carcass weight at the age of slaughtering in guinea pigs of the Cieneguilla genotype based on a synthesis of body measurements Predicción de peso de carcasa a la edad de beneficio en cuyes del genotipo Cieneguilla con base a una síntesis de medidas corporales |
title |
Prediction of carcass weight at the age of slaughtering in guinea pigs of the Cieneguilla genotype based on a synthesis of body measurements |
spellingShingle |
Prediction of carcass weight at the age of slaughtering in guinea pigs of the Cieneguilla genotype based on a synthesis of body measurements Arias, Pablo Rubio guinea pig carcass yield body measurements selection cuy rendimiento de carcasa medidas corporales selección |
title_short |
Prediction of carcass weight at the age of slaughtering in guinea pigs of the Cieneguilla genotype based on a synthesis of body measurements |
title_full |
Prediction of carcass weight at the age of slaughtering in guinea pigs of the Cieneguilla genotype based on a synthesis of body measurements |
title_fullStr |
Prediction of carcass weight at the age of slaughtering in guinea pigs of the Cieneguilla genotype based on a synthesis of body measurements |
title_full_unstemmed |
Prediction of carcass weight at the age of slaughtering in guinea pigs of the Cieneguilla genotype based on a synthesis of body measurements |
title_sort |
Prediction of carcass weight at the age of slaughtering in guinea pigs of the Cieneguilla genotype based on a synthesis of body measurements |
dc.creator.none.fl_str_mv |
Arias, Pablo Rubio Chávez C., Juan Febres, Grimaldo Deza C., Hugo |
author |
Arias, Pablo Rubio |
author_facet |
Arias, Pablo Rubio Chávez C., Juan Febres, Grimaldo Deza C., Hugo |
author_role |
author |
author2 |
Chávez C., Juan Febres, Grimaldo Deza C., Hugo |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
guinea pig carcass yield body measurements selection cuy rendimiento de carcasa medidas corporales selección |
topic |
guinea pig carcass yield body measurements selection cuy rendimiento de carcasa medidas corporales selección |
description |
The objective of the present study was to predict carcass weight (PC) in guinea pigs (Cavia porcellus) at the age of slaughtering (16±2 weeks), considering their biometric measurements. The following measures and weights were taken before and after the slaughter of 150 male guinea pigs of the Cieneguilla genotype: live body weight (PV), body length (LC), head length (LCA), head width (AC), loin length (LL), loin width (AL), chest girth (PT), thigh perimeter (PM), thigh length (LM), arm perimeter (PB), arm length (LB), and rump middle square (CMG), as well as the carcass weight (PC). The data were analyzed to determine the best regression equation and to establish the best predictive linear model of carcass weight. The «Step-Wise Regression» process of the SAS statistical package was used. The combinations of independent variables in the model revealed that the variables PV, PT, AC, and LL give a better explanation of the CP at the benefit age (R2=0.71; Cp-Mallows=1.63). |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-05-31 |
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/14476 10.15381/rivep.v29i2.14476 |
url |
https://revistasinvestigacion.unmsm.edu.pe/index.php/veterinaria/article/view/14476 |
identifier_str_mv |
10.15381/rivep.v29i2.14476 |
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/14476/12829 https://revistasinvestigacion.unmsm.edu.pe/index.php/veterinaria/article/view/14476/13949 |
dc.rights.none.fl_str_mv |
Derechos de autor 2018 Pablo Rubio Arias, Juan Chávez C., Grimaldo Febres, Hugo Deza C. https://creativecommons.org/licenses/by-nc-sa/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Derechos de autor 2018 Pablo Rubio Arias, Juan Chávez C., Grimaldo Febres, Hugo Deza C. https://creativecommons.org/licenses/by-nc-sa/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf text/html |
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. 29 Núm. 2 (2018); 507-513 Revista de Investigaciones Veterinarias del Perú; Vol. 29 No. 2 (2018); 507-513 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 |
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repository.mail.fl_str_mv |
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1795238229411102720 |
score |
13.971837 |
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).