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The aim of this study was to estimate breeding values of fertility traits, using univariate and bivariate models in Holstein and Jersey cattle, in Antioquia, Colombia. The information was obtained from 92 dairy herds, located in 18 municipalities of Antioquia. The fertility traits evaluated were: calving interval (IEP), days open (DO), number of services per conception (NSC) and conception rate (TC). The estimated breeding values (EBV) for fertility traits were calculated using two types of univariate animal model (univariate model UV and univariate model with repeatability UVR) and two types of animal bivariate models (bivariate model BV and BVR bivariate model with repeatability). The traits used as correlated in bivariate models were: milk production (PL), protein percentage (PRO) and fat percentage (GRA). The solutions of the equations of the linear mixed models were obtained through the maximum likelihood derivative free restricted method. In this investigation, was determined that the bivariate models (BV and BVR), improve the accuracy of EBVs in all reproductive traits by 3 and 2 percentage points in Holstein and Jersey respectively compared with univariate models (UV and UVR). The results obtained in this study show that the genetic evaluations performed through bivariate analysis, increase the accuracy of EBVs in fertility traits (IEP, DA, NSC and TC), when production traits (PL, PRO and GRA) were used as correlated.

Evaluación genética directa y usando características correlacionadas en ganado Holstein y Jersey Colombiano