Genetic analysis of biometric traits in Murrah buffaloes using Bayesian approach

The body conformation traits, which support higher production and longer productive life are very important to breed future dairy buffaloes. Bayesian multiple-trait analysis was performed in biometric traits of Murrah buffaloes estimate the (co)variance components using an animal model Gibbs sampling. included fixed effects parity, season calving, period age group at time recording traits. Random were additive genetic residual effects. Posterior means heritability distribution for length (BL), height wither (HW), rump width (RW), hip bone distance (HBD), slope (RS), brisket (BD), navel flap (NFL) average skin thickness (AST) 0.45, 0.56, 0.60, 0.48, 0.44, 0.53, respectively. Genetic correlation estimates ranged from -0.64 (RS NFL) 0.53 (HDB HW) -0.35 BL) 0.57 HW). Results current study indicated that all considered linear type have a lot variabilities, can be used selection improvement future.