Genetic Analysis On Performance Traits Using Multi-trait Animal Model BLUP In Pigs

Multi-trait animal model Best Lineal Unbiased Prediction was used to estimate the genetic trend in three swine population( i.e. Duroc, Landrace and Yorkshire.) during 1999 to 2001 in this study .The traits include the age reach 100 kilogram(ARWlOO) and backfat thickness(BFT). The result show that the Total Breeding Value is 100.55, 99.87, 101.47 in D, 98.65, 99.06, 100.45 in L and 99.15 ,99.82, 100.35 in Y during 1999 to 2001, respectively. From the result, the raising genetic trend was seen in swine population of L and Y during three years. Thus the breeding plan was proved to be effectively although the decreasing genetic trend was also seen in D in 2000. The way of Spearman was used to analysis the rank correlation between the result estimated by single-trait and multi-trait animal model Best Lineal Unbiased Prediction in Yorkshire. The rank correlation coefficient is 0.859 (p<0.01). Regress procedure in SAS was also used to study how to adjust the age and backfat thickness to 50 kilogram standard weight. Using the adjusted result and the multi-trait animal model Best Lineal Unbiased Prediction ,the total breeding value of pigs when they got 50 kg standard weight was estimated. The way of spearman was used to study the rank correlation between the total breeding value of pigs when they reach 50 kg standard weight and 100 kg standard weight in Yorkshire. The rank correlation coefficient is 0.739(P<0.01).