Browse > Article
http://dx.doi.org/10.5713/ajas.17.0002

Variance components estimation for farrowing traits of three purebred pigs in Korea  

Lopez, Bryan Irvine (Department of Animal Science and Technology, Sunchon National University)
Kim, Tae Hun (Department of Animal Science and Technology, Sunchon National University)
Makumbe, Milton Tinashe (Department of Animal Science and Technology, Sunchon National University)
Song, Chol Won (Department of Animal Science and Technology, Sunchon National University)
Seo, Kang Seok (Department of Animal Science and Technology, Sunchon National University)
Publication Information
Asian-Australasian Journal of Animal Sciences / v.30, no.9, 2017 , pp. 1239-1244 More about this Journal
Abstract
Objective: This study was conducted to estimate breed-specific variance components for total number born (TNB), number born alive (NBA) and mortality rate from birth through weaning including stillbirths (MORT) of three main swine breeds in Korea. In addition, the importance of including maternal genetic and service sire effects in estimation models was evaluated. Methods: Records of farrowing traits from 6,412 Duroc, 18,020 Landrace, and 54,254 Yorkshire sows collected from January 2001 to September 2016 from different farms in Korea were used in the analysis. Animal models and the restricted maximum likelihood method were used to estimate variances in animal genetic, permanent environmental, maternal genetic, service sire and residuals. Results: The heritability estimates ranged from 0.072 to 0.102, 0.090 to 0.099, and 0.109 to 0.121 for TNB; 0.087 to 0.110, 0.088 to 0.100, and 0.099 to 0.107 for NBA; and 0.027 to 0.031, 0.050 to 0.053, and 0.073 to 0.081 for MORT in the Duroc, Landrace and Yorkshire breeds, respectively. The proportion of the total variation due to permanent environmental effects, maternal genetic effects, and service sire effects ranged from 0.042 to 0.088, 0.001 to 0.031, and 0.001 to 0.021, respectively. Spearman rank correlations among models ranged from 0.98 to 0.99, demonstrating that the maternal genetic and service sire effects have small effects on the precision of the breeding value. Conclusion: Models that include additive genetic and permanent environmental effects are suitable for farrowing traits in Duroc, Landrace, and Yorkshire populations in Korea. This breed-specific variance components estimates for litter traits can be utilized for pig improvement programs in Korea.
Keywords
Variance Components; Farrowing Traits; Purebred Pigs;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Kim B, Kim S, Lee I, et al. Estimation of direct and service sire genetic parameters for reproductive traits in Yorkshire. Asian-Australas J Anim Sci 2002;15:1232-6.   DOI
2 Wolf J, Wolfova M. Effect of service sire on litter size traits in Czech Large White and Landrace pigs. Czech J Anim Sci 2012;57:220-30.   DOI
3 Meyer K. WOMBAT-A tool for mixed model analyses in quantitative genetics by restricted maximum likelihood (REML). J Zhejiang Univ-Sc B 2007;8:815-21.   DOI
4 Guo X, Christensen OF, Ostersen T, et al. Improving genetic evaluation of litter size and piglet mortality for both genotyped and nongenotyped individuals using a single-step method. J Anim Sci 2015;93:503-12.   DOI
5 Putz AM, Tiezzi F, Maltecca C, Gray KA, Knauer MT. Variance component estimates for alternative litter size traits in swine. J Anim Sci 2015;93:5153-63.   DOI
6 NSIF. Guidelines for Uniform Swine Improvement Programs. Washington DC: USDA; 1997.
7 Hermesch S, Luxford B, Graser H. Genetic parameters for piglet mortality, within litter variation of birth weight, litter size and litter birth weight. Proc Assoc Advmt Anim Breed Genet. 2001;14:211-4.
8 Irgang R, Favero JA, Kennedy BW. Genetic parameters for litter size of different parities in Duroc, Landrace, and Large White sows. J Anim Sci 1994;72:2237-46.   DOI
9 Rydhmer L, Lundeheim N, Canario L. Genetic correlations between gestation length, piglet survival and early growth. Livest Sci 2008;115:287-93.   DOI
10 Crump R, Haley C, Thompson R, Mercer J. Individual animal model estimates of genetic parameters for reproduction traits of Landrace pigs performance tested in a commercial nucleus herd. Anim Sci 1997;65:285-90.   DOI
11 Lewis T, Wiseman J, Woolliams J. Genotype by mating type interaction for litter size in Landrace and Large White sows. Anim Sci 2005;81:331-5.
12 Hanenberg EHAT, Knol EF, Merks JWM. Estimates of genetic parameters for reproduction traits at different parities in Dutch Landrace pigs. Livest Prod Sci 2001;69:179-86.   DOI
13 Kaufmann D, Hofer A, Bidanel JP, Kunzi N. Genetic parameters for individual birth and weaning weight and for litter size of Large White pigs. J Anim Breed Genet 2000;117:121-8.   DOI
14 Haley C, Lee G. Genetic factors contributing to variation in littersize in British Large White gilts. Livest Prod Sci 1992;30:99-113.   DOI
15 Ferraz JB, Johnson RK. Animal model estimation of genetic parameters and response to selection for litter size and weight, growth, and backfat in closed seedstock populations of Large White and Landrace swine. J Anim Sci 1993;71:850-8.   DOI
16 Akanno EC, Schenkel FS, Quinton VM, Friendship RM, Robinson JAB. Meta-analysis of genetic parameter estimates for reproduction, growth and carcass traits of pigs in the tropics. Livest Sci 2013;152:101-13.   DOI
17 Lundgren H, Fikse WF, Grandinson K, et al. Genetic parameters for feed intake, litter weight, body condition and rebreeding success in primiparous Norwegian Landrace sows. Animal 2014;8:175-83.   DOI
18 Chen P, Baas TJ, Mabry JW, Koehler KJ, Dekkers JCM. Genetic parameters and trends for litter traits in U.S. Yorkshire, Duroc, Hampshire, and Landrace pigs. J Anim Sci 2003;81:46-53.   DOI
19 Thompson R. Estimation of quantitative genetic parameters. Proc R Soc Lond B: Biol Sci 2008;275:679-86.   DOI
20 Schneider JF, Rempel LA, Rohrer GA. Genome-wide association study of swine farrowing traits. Part I: Genetic and genomic parameter estimates. J Anim Sci 2012;90:3353-9.   DOI
21 Cavalcante Neto A, Lui JF, Sarmento JLR, et al. Estimation models of variance components for farrowing interval in swine. Braz Arch Biol Technol 2009;52:69-76.