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: | , , , |
---|---|
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 |
Sumario: | 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). |
---|
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).