Exploring Biological Relationships between Calving Traits in Primiparous Cattle with a Bayesian Recursive Model

Structural equation models (SEM) of a recursive type with heterogeneous structural coefficients were used to explore biological relationships between gestation length (GL), calving difficulty (CD) and perinatal mortality, also known as stillbirth (SB), in cattle, with the last two traits having categorical expression. An acyclic model was assumed, where recursive effects existed from the GL phenotype to the liabilities (latent variables) to CD and SB, and from the liability to CD to that of SB considering four periods regarding GL. The data contained GL, CD and SB records from 90,393 primiparous cows, sired by 1,122 bulls, distributed over 935 herd-calving year classes. Low genetic correlations between GL and the other calving traits were found, whereas the liabilities to CD and SB were high and positively correlated, genetically. The model indicated that gestations of around 274 days of length (3 days shorter than the average) would lead to the lowest CD and SB, and confirmed the existence of an intermediate optimum of GL with respect to these traits.

Key Words: Bayesian inference, Markov chain Monte Carlo, calving traits, primiparous cows, recursive models

Online ISS 1091-6490
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