![]() ![]() The first 5,000 rounds were considered as the burn-in period and discarded. Flat distributions were used for all (co)variance components and genetic correlations. Variance components were estimated using Bayesian inference. ![]() Covariance components were estimated by bivariate animal models assuming a linear model for hip height, yearling weight and conformation, and finishing and muscling scores, and a nonlinear (threshold) model for heifer pregnancy. The data set contained records of 56,458 Nelore yearlings for the traits described above. The objective of this study was to determine the possible use of heifer pregnancy at 16 mo as a selection criterion and its possible genetic associations with hip height, yearling weight, and visual scores of conformation, finishing, and muscling.
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