Exploraci??n de variables predictoras de pre??ez en vaquillas de carne

Abstract

In order to analyze variables that are indicative of body development and composition before breeding and to find out which of them could be predictive of pregnancy, this assay included 58 heifers from a cattle farm of North-eastern Argentina. From all the tested variables by means of a logistic regression model as predictors of pregnancy in heifers, the hip height (HH) and the reproductive tract score (RTS) fitted the regression model. Body weight (BW) before breeding did not adjust to the developed regression model. There was a strong positive association between BW and RTS. The model can predict with 68% of accuracy the result of service in heifers (pregnant or empty). Heifers must not exceed 122cm in HH and present a RTS of 5 at the beginning of the breeding season to achieve the highest probability of pregnancy.