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http://dx.doi.org/10.5187/JAST.2008.50.1.019

Estimation of Genetic Parameters via Gibbs Sampler using Animal Model for Economic Traits in Pigs  

Cho, K.H. (National Institute of Animal Science, RDA)
Kim, M.J. (National Institute of Animal Science, RDA)
Kim, I.C. (National Institute of Animal Science, RDA)
Jeon, G.J. (Genomic Informatics Center, Hankyong National University)
Publication Information
Journal of Animal Science and Technology / v.50, no.1, 2008 , pp. 19-26 More about this Journal
Abstract
Heritability and genetic correlation for growth traits in Duroc pig breed were estimated using Bayesian method via Gibbs sampling. The data set consisted of 3,526 performance records at National Institute of Animal Science. For estimating those parameters using Gibbs sampling, 5,000 cycles of ‘burn-in’ period were discarded among a total of 55,000 samples. Out of the remaining 50,000 samples, 5,000 estimates by each parameter were retained and used for analyses to avoid any correlation among adjacent samples. The growth traits considered in this study were average daily gain at 30kg(ADG1), average daily gain at 90kg(ADG2), backfat thickness(BF), days to 90kg(D90) and feed conversion ratio(FC). The estimated heritabilities and their standard deviation using Gibbs sampler were 0.43±0.04, 0.49±0.038, 0.31±0.040, 0.48±0.039 and 0.62±0.086, respectively. Genetic correlations were －0.02, －0.13, －0.55 and －0.15 between ADG1 with ADG2, BF, D90 and FC, respectively, 0.16, －0.73, －0.32 between ADG2 with BF, D90 and FC respectively, 0.01, －0.08 between BF with D90, FC, respectively, and 0.23 between D90 with FC.
Keywords
Gibbs sampling; Genetic parameter; Growth traits; Pigs
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