Journal of Animal Science and Technology

Korean Society of Animal Sciences and Technology (한국축산학회)
권호 표지
DOI QR코드

DOI QR Code

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

Gibbs Sampler를 이용한 돼지 주요 경제형질의 유전모수 추정

  • 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)
  • Published : 2008.02.01
Download PDF
⟨ Previous Next ⟩

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.

본 연구는 1998년부터 2006년까지 축산과학원에서 능력검정을 실시한 Duroc종 산육능력 검정자료 3,526두와 혈통자료 3,910두의 자료를 이용하여 30kg시 일당증체량, 90kg시 일당증체량, 평균 등지방두께, 90kg 도달일령 및 사료요구율에 대한 유전모수를 추정하기 위하여 실시하였다. 검정기록을 바탕으로 유전모수의 추정은 단형질 및 다형질 혼합모형을 이용하여 Gibbs sampling을 이용한 Bayesian 방법을 이용하였다. 듀록 종의 산육능력 검정자료를 바탕으로 분산분석을 실시한 결과 모든 조사형질에 대하여 성별, 연도, 계절에 있어서 고도의 유의성을 보였으며, 단형질 Bayesian 방법에 의해 추정한 Post-gibbs 후의 30kg 도달시 일당증체량, 30kg~90kg 도달시 일당증체량, 등지방두께, 90kg 도달일령 및 사료요구율의 유전력은 각각 0.43, 0.49, 0.31, 0.48 및 0.62로 추정되었다. 또한 다형질 Bayesian 방법에 의해 추정한 형질간 유전상관은 30kg 도달시 일당증체량과 30kg~90kg 도달시 일당증체량, 등지방두께, 90kg 도달일령, 사료요구율에서는 각각 －0.02, －0.13, －0.55 및 －0.15로 추정되었으며, 30kg~90kg 도달시 일당증체량과 등지방두께, 90kg 도달일령, 사료요구율간의 유전상관은 각각 0.16, －0.73, －0.32로 추정되었고, 등지방두께와 90kg 도달일령, 사료요구율에서는 각각 0.01 및 －0.08로 추정되었으며, 90kg 도달일령과 사료요구율간의 유전상관은 0.23으로 추정되었다.

Keywords

References

  1. Arango, J., Misztal, I., Tsuruta, S., Culbertson, M. and Herring, W. 2005. Threshold-linear estima- tion of genetic parameters for farrowing mortality, litter size, and test performance of Large White sows. J. Anim. Sci. 83:499
  2. Chen, P., Baas, J. J., Marby, J. W., Koehler, K. J. and Dekkers, J. C. M. 2003. Genetic para- meters and trends for litter traits in U.S. Yorkshire, Duroc, Hampshire and Landrace pigs. J. Anim. Sci. 81:46
  3. Dempster, A. P., Laired, N. M. and Rubin, D. F. 1977. Maximum likelihood form incomplete data with EM algorithm. J. Royal Stat. Sco. Series B. 39:1
  4. Geman, S. and Geman, D. 1984. Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images. IEEE Transactions on pattern analysis and machine intelligence 6:721 https://doi.org/10.1109/TPAMI.1984.4767596
  5. Gianola, D. and Fernando, R. L. 1986. Bayesian methods in animal breeding theory. J. Anim. Sci. 63:217 https://doi.org/10.2527/jas1986.631217x
  6. Harvey. W. R. 1979. Least-squares analysis of data with unequal subclass numbers. USDA. ARD- H-4. Washington. D. C
  7. Harville, D. A. 1977. Maximum likelihood approaches to variance component estimation and to related problems. J. Am. Stat. Assoc. 72:320 https://doi.org/10.2307/2286796
  8. Henderson, C. R. 1953. Estimation of variance and covariance  components. Biometrics. 9:226 https://doi.org/10.2307/3001853
  9. Henderson, C. R. 1985. MIVQUE and REML Estimation of additive and nonadditive genetic variances J. Anim. Sci. 61:113 https://doi.org/10.2527/jas1985.611113x
  10. Jensen, J., Wang, C. S., Sorenson, D. A. and D. 1994. Gianola. Bayesian inference on variance and covariance components for traits influenced by maternal and direct genetic effects, using the Gibbs sampler. Acta Agric. Scand. 44:193
  11. Johnson, Z. B. and Nugent, III. R. A. 2003. Heritability of body length and measures of body density and their relationship to backfat thickness and loin muscle area in swine. J. Ani. Sci. 81:1943 https://doi.org/10.2527/2003.8181943x
  12. Johnson, Z. B., Chewning, J. J. and Nugent, III. R. A. 1999. Genetic parameters of Production Traits and Measures of Residual Feed Intake in Large White Swine. J. Ani. Sci. 77:1679 https://doi.org/10.2527/1999.7771679x
  13. Kadarmideen, H. N., Schworer, D., Ilahi, H., Malek, M. and Hofer, A. 2004. Genetics of osteochondral disease and its relationship with meat quality and quantity, growth and feed conversion traits in pigs. 82:3118
  14. Misztal. 2001. Gibbs family program version (GIBBSF90)
  15. NGEP. 1995. National Genetic Evaluation Program
  16. NBS. 2000. National Barrow Show
  17. Noguera, J. L., Varona, L., Babot, D. and Estany, J. 2002. Multivariate analysis of litter size for multiple parities with production traits in pigs: I. Bayesian variance component estimation. J. Anim. Sci. 80:2540
  18. Park, Y. I. 1965. Age-constant feed efficiency of pigs. J. Anim. Sci. 24:819 https://doi.org/10.2527/jas1965.243819x
  19. Patterson, H. D. and Thompson, R. 1971. Recovery of inter-block sizes are unequel. Biometrika. 58:545 https://doi.org/10.1093/biomet/58.3.545
  20. Rodriguez, M. C., Toro, M. and Silio, L. 1996. Selection on lean growth in a nucluus of Landrace pigs: an analysis using Gibbs sampling. Animal Science. 63:243 https://doi.org/10.1017/S1357729800014806
  21. Schulze, V., Roehe, R., Looft, H. and Kalm, E. 2001. Effects of continuous and periodic feeding by electronic feeders on accuracy of measuring feed information and theri genetic association with growth performances. J. Anim. Breed. Genet. 118:403 https://doi.org/10.1046/j.1439-0388.2001.00158.x
  22. Serenius, T., Sevon-Aimonen, M. L., Kause, A., Mantysaari, E. A. and Maki-Tanila, A. 2004. Genetic associations of prolificacy with perfor- mance, carcass, meat quality and leg conformation traits in the Finnish Landrace and Large White pig populations. J. Anim. Sci. 82:2301
  23. Smith, S. P. and Graser, H. U. 1986. Estimating variance components in a class of mixed models by restricted maximum likelihood. J. Dairy Sci. 69:1156 https://doi.org/10.3168/jds.S0022-0302(86)80516-1
  24. Suzuki, K., Nakagawa, M., Katoh, K., Kadowaki, H., Shibata, T., Uehida, H., Obara, Y. and Nishida, A. 2004. Genetic correlation between serum insulin-like growth factor-1 concentration and performance and meat quality traits in Duroc pigs. J. Anim. Sci. 82:994
  25. Wolf. J., Peskovicova, D. and Groeneveld, E. 2001. Stability of genetic parameter estimates for production traits in pigs. J. Anim. Breed. Genet. 118:161 https://doi.org/10.1046/j.1439-0388.2001.00288.x
  26. Xuewei, Li. and Kennedy, B. W. 1994. Genetic parameters for growth rate and backfat in canadian Yorkshire, Landrace, Duroc and Hamp- shire pigs. J. Anim. Sci. 72:1450