Abstract

Genetic parameters for birth weights (BWT), calving ease scores observed from calves born by heifers (CEH), and calving ease scores observed from calves born by cows (CEC) were estimated using Bayesian methodology with Gibbs sampling in different threshold animal models. Data consisted of 77,458 records for calving ease scores and birth weights in Gelbvieh cattle. Gibbs samplers were used to obtain the parameters of interest for the categorical traits in two univariate threshold animal models, a bivariate threshold animal model, and a three-trait linear-threshold animal model. Samples of heritabilities and genetic correlations were calculated from the posterior means of dispersion parameters. In a univariate threshold animal model with CEH (model 1), the posterior means of heritabilities for calving ease was 0.35 for direct genetic effects and 0.18 for maternal genetic effects. In the other univariate threshold model with CEC (model 2), the posterior means of heritabilities of CEC was 0.28 for direct genetic effects and 0.18 for maternal genetic effects. In a bivariate threshold model with CEH and CEC (model 3), heritability estimates were similar to those in unvariate threshold models. In this model, genetic correlation between heifer calving ease and cow calving ease was 0.89 and 0.87 for direct genetic effect and maternal genetic effects, respectively. In a three-trait animal model, which contained two categorical traits (CEH and CEC) and one continuous trait (BWT) (model 4), heritability estimates of CEH and CEC for direct (maternal) genetic effects were 0.40 (0.23) and 0.23 (0.13), respectively. In this model, genetic correlation estimates between CEH and CEC were 0.89 and 0.66 for direct genetic effects and maternal effects, respectively. These estimates were greater than estimates between BWT and CEH (0.82 and 0.34) or BWT and CEC (0.85 and 0.26). This result indicates that CEH and CEC should be high correlated rather than estimates between calving ease and birth weight. Genetic correlation estimates between direct genetic effects and maternal effects were -0.29, -0.31 and 0.15 for BWT, CEH and CEC, respectively. Correlation for permanent environmental effects between BWT and CEC was -0.83 in model 4. This study can provide genetic evaluation for calving ease with other continuous traits jointly with assuming that calving ease from first calving was a same trait to calving ease from later parities calving. Further researches for reliability of dispersion parameters would be needed even if the more correlated traits would be concerned in the model, the higher reliability could be obtained, especially on threshold model with property that categorical traits have little information.

Highlights

  • Calving difficulty (CD) is an important trait affecting calf mortality and profitability of cows. This trait is recorded in discrete categories as calving ease scores according to the amount of assistance rendered during calving

  • Sampled data with 77,458 records were prepared for this study from the original data with 512,176 records for birth weight and calving ease scores observed calves born from 1991 to 2000 at American Gelbvieh Association (AGA)

  • The proportions of calving ease (CE) in this study would imply very little information for calving difficulty, especially CE of calves born by cows

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Summary

Introduction

Calving difficulty (CD) is an important trait affecting calf mortality and profitability of cows. This trait is recorded in discrete categories as calving ease scores according to the amount of assistance rendered during calving. Several studies (Gianola, 1982; Gianola and Foulley, 1983; Misztal et al, 1989) have suggested that threshold models, in which assumed the existence of an underlying normal variable, are theoretically appropriate for genetic analysis for categorical traits. Several studies (Renand et al, 1990; McGuirk et al, 1998; Varona et al, 1999) showed that heritability estimates for calving ease were two to five times higher using threshold models, compared to linear models.

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