3-Title: Bayesian Using Gibbs Sampling (BUGS) Algorithm for Life Time Traits in Sahiwal Cattle

Authors: Nistha Yadav, Sabyasachi Mukherjee, Shivam Bhardwaj, Oshin Togla, Shilpa Gujral and Anupama Mukherjee

Source: Ruminant Science (2022)-11(1):15-20.

How to cite this manuscript: Yadav Nistha, Mukherjee Sabyasachi, Bhardwaj Shivam, Togla Oshin, Gujral Shilpa and Mukherjee Anupama (2022). Effect of vaccine modality for foot and mouth disease on immunogenicity and efficacy in Hallikar calves. Ruminant Science 11(1):15-20.

Abstract

Variance and covariance components for life time traits, such as life time milk yield (LTMY), productive life (PL) and herd life (HL) measured on Sahiwal cattle were estimated using a Bayesian application of the Gibbs sampler. Data came from the Livestock farm unit of ICAR-NDRI Karnal, Haryana, India for animals born between 1990 and 2019. There was 802 life time recorded data (raw) for Sahiwal cows for milk production as well as for survival in the herd. Multivariate/trivariate analysis was conducted for all three variables of life time traits by considering a mixed model which includes sire as a random effect, period and season of calving as fixed effects, age at first calving as a covariate and residual variances for the LTMY, PL and HL and the covariance between sire effects for different trait combinations. Although most of the densities of estimates were slightly skewed, they seemed to fit the normal distribution well, because the mean, mode, and median were similar. Direct heritabilities for PL in were relatively high with the marginal posterior mode of 0.51. Direct genetic correlations between all life time traits were found to be positive. Higher estimates for genetic and environmental correlations for LTMY-PL and LTMY-HL were observed. Marginal posterior estimates for heritability for LTMY, PL and HL were found as 0.13±0.018, 0.51±0.017 and 0.33±0.017 respectively along with its Monte Carlo Error for Sahiwal.

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