The aim of this study was to determine the phenotypic correlations between bodyweight (PV) and the biometric measurements of 90 Creole cattle, of both sexes and diverse ages, from the Conayca Community in Huancavelica, Peru, to define prediction equations of PV. Head width (AC), head length (LC), chest width (ATO), chest height (ALT), body length (LCU), chest perimeter (PT), height at the withers (ACR), rump width (AGR), rump length (LGR), anterior fetlock perimeter (PCA), lumbar back distance (DDL), rump height (ALG), chest length (LTO), body length (LAC) and abdominal perimeter (PAB) were measured. The observations were analysed using linear models, including the effect of sex and age based on teeth growth. The biometric measurements were adjusted in a first order multiple linear regression to obtain the prediction equations of PV of the animals. Dental age was the most important sourc...

The aim of this study was to determine the phenotypic correlations between bodyweight (PV) and the biometric measurements of 90 Creole cattle, of both sexes and diverse ages, from the Conayca Community in Huancavelica, Peru, to define prediction equations of PV. Head width (AC), head length (LC), chest width (ATO), chest height (ALT), body length (LCU), chest perimeter (PT), height at the withers (ACR), rump width (AGR), rump length (LGR), anterior fetlock perimeter (PCA), lumbar back distance (DDL), rump height (ALG), chest length (LTO), body length (LAC) and abdominal perimeter (PAB) were measured. The observations were analysed using linear models, including the effect of sex and age based on teeth growth. The biometric measurements were adjusted in a first order multiple linear regression to obtain the prediction equations of PV of the animals. Dental age was the most important sourc...