Saltar al contenido
República del Perú · Observatorio de la producción científica universitaria
OApol.org Observatorio de Inteligencia Científica Universitaria del Perú
OApol.org
Inicio Universidades Publicaciones Investigadores
Repositorios
Tesis y trabajos académicosRevistas
Indicadores
Ranking trimestralRanking por carreraObjetivos de Desarrollo SostenibleReporte OCDERed neuronal 3D
Acerca
MetodologíaPrivacidad

Predicting Body Weight from Body Measurements of Corriedale Sheep using Ridge and Stepwise Regression Models

Churata-Huacani R.; Canaza-Cayo A.W.; Fernandes T.J.; Filho J.S.S.B. · Journal of Animal Health and Production (2024) · DOI: 10.17582/journal.jahp/2024/12.2.182.188

Resumen

The objective of this research was to estimate body weight of Corriedale sheep from body measurements using ridge (RR) and stepwise regression (SR) models. On hundred (100) records of Corriedale ewes aged 1.5 and 2 years old were obtained in the Illpa Experimental Centre of the National University of Altiplano in Peru. Body weight (BW) and fourteen body measurements (BM) were taken including body length (BL), abdominal perimeter (AP), rump height (RH), wither height (WH), thoracic perimeter (TP), loin width (LWi), tail perimeter (TPe), hip width (HW), fore-shank width (FSW), tail width (TW), shoulder width (SW), forelimb length (FL), fore-shank length (FSL) and fore-shank perimeter (FSP). The variance inflation factor (VIF), mean absolute error (MAE), root mean square error (RMSE) and coefficient of determination (R2) were used to determine the best model for predicting body weight. The results revealed that both SR and RR models provided accurate fit to the data, however SR model showed slightly better than RR model to predict body weight of Corriedale ewes from AP, FSL, HW, LWi and BL measurements.

Instituciones: Universidad Nacional del Altiplano