Sire ranking

Comparison of bivariate and multivariate joint analyses on the selection loss of beef cattle

V. B. Pedrosa, Groeneveld, E., Eler, J. P., and Ferraz, J. B. S., Comparison of bivariate and multivariate joint analyses on the selection loss of beef cattle, vol. 13, pp. 4036-4045, 2014.

For genetic evaluation of beef cattle, univariate or bivariate analyses are often performed as an alternative to decrease the complexity of matrices and mathematical models compared to multivariate analysis, which considers a larger number of joint traits. The use of bivariate methods to calculate genetic predictors may cause bias in the estimation of breeding values and, as a consequence, reclassification of the rank of top-selected sires, resulting in a loss of genetic gain in future generations.

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