title: Genetic parameter estimation in seedstock Swine population for growth performances.
abstract: The objective of this study was to estimate genetic parameters that are to be used for across-herd genetic evaluations of seed stock pigs at GGP level. Performance data with pedigree information collected from swine breeder farms in Korea were provided by Korea Animal Improvement Association (AIAK). Performance data were composed of final body weights at test days and ultrasound measures of back fat thickness (BF), rib eye area (EMA) and retail cut percentage (RCP). Breeds of swine tested were Landrace, Yorkshire and Duroc. Days to 90 kg body weight (DAYS90) were estimated with linear function of age and ADG calculated from body weights at test days. Ultrasound measures were taken with A-mode ultrasound scanners by trained technicians. Number of performance records after censoring outliers and keeping records pigs only born from year 2000 were of 78,068 Duroc pigs, 101,821 Landrace pigs and 281,421 Yorkshire pigs. Models included contemporary groups defined by the same herd and the same seasons of births of the same year, which was regarded as fixed along with the effect of sex for all traits and body weight at test day as a linear covariate for ultrasound measures. REML estimation was processed with REMLF90 program. Heritability estimates were 0.40, 0.32, 0.21 0.39 for DAYS90, ADG, BF, EMA, RCP, respectively for Duroc population. Respective heritability estimates for Landrace population were 0.43, 0.41, 0.22, and 0.43 and for Yorkshire population were 0.36, 0.38, 0.22, and 0.42. Genetic correlation coefficients of DAYS90 with BF, EMA, or RCP were estimated to be 0.00 to 0.09, -0.15 to -0.25, 0.22 to 0.28, respectively for three breeds populations. Genetic correlation coefficients estimated between BF and EMA was -0.33 to -0.39. Genetic correlation coefficient estimated between BF and RCP was high and negative (-0.78 to -0.85) but the environmental correlation coefficients between these two traits was medium and negative (near -0.35), which describes a highly correlated genetic response to selection on one or the other of these traits. Genetic Trends of all three breeds tend to be towards bigger EMA or greater RCP and shorter DAYS90 especially from generations born after year 2000.
authors: Animal Breeding and Genetics Division, National Institute of Animal Science, Songhwan-eup Shinbang-1-gill 114, Chonan, Korea.
authors: Jae Gwan
authors: JG
authors: Choi
authors: Animal Breeding and Genetics Division, National Institute of Animal Science, Songhwan-eup Shinbang-1-gill 114, Chonan, Korea.
authors: Chung Il
authors: CI
authors: Cho
authors: Animal Breeding and Genetics Division, National Institute of Animal Science, Songhwan-eup Shinbang-1-gill 114, Chonan, Korea.
authors: Im Soo
authors: IS
authors: Choi
authors: Animal Breeding and Genetics Division, National Institute of Animal Science, Songhwan-eup Shinbang-1-gill 114, Chonan, Korea.
authors: Seung Soo
authors: SS
authors: Lee
authors: Animal Breeding and Genetics Division, National Institute of Animal Science, Songhwan-eup Shinbang-1-gill 114, Chonan, Korea.
authors: Tae Jeong
authors: TJ
authors: Choi
authors: Animal Breeding and Genetics Division, National Institute of Animal Science, Songhwan-eup Shinbang-1-gill 114, Chonan, Korea.
authors: Kwang Hyun
authors: KH
authors: Cho
authors: Animal Breeding and Genetics Division, National Institute of Animal Science, Songhwan-eup Shinbang-1-gill 114, Chonan, Korea.
authors: Byoung Ho
authors: BH
authors: Park
authors: Animal Breeding and Genetics Division, National Institute of Animal Science, Songhwan-eup Shinbang-1-gill 114, Chonan, Korea.
authors: Yun Ho
authors: YH
authors: Choy
keywords: Duroc; Growth; Heritability; Landrace; Swine; Ultrasound; Yorkshire