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전광주(G . J . Jeon),김태산(T . S . Kim) 한국축산학회 1994 한국축산학회지 Vol.36 No.3
Estimation of linkage between QTL and genetic markers was illustrated using simulated data by the ML method. The application of the ML method was sraight forward. For a given density function, the likelihood function was evaluated at each round of iteration within the parameter space. After iterations were completed, the largest value of likelihood was the point at which the likelihood converged. The magnitude of h² did not show any significant effect on the estimation of linkage between QTL and markers. However, the additive effect of marker allele had a significant effect on the estimation of r. As the value of marker allele was larger, the linkage was underestimated. Since the dominance effect was not considered in the simulation, further investigation is needed to find possible interactions between the magnitude of the dominance. effect and marker effect.
정영철(Y . C . Jung),김광주(G . J . Jeon),김성훈(S . H . Kim),박홍양(H . Y . Park),박영일(Y . I . Park),(M . F . Rothschild) 한국축산학회 1992 한국축산학회지 Vol.34 No.1
An animal model with the best linear unbiased prediction properties was used to evaluate the genetic trend of a Landrace herd. The Landrace base population was imported from Sweden and has been closed and linebred for 7 generations. The average number of parental animals per generation were 45 gilts and 15 boars and a total of 1,402 pigs were tested for performance. An average inbreeding coefficient of the 7th generation was 6.19%. The animal model used in the study included a complete additive genetic relationship matrix among all the pigs. The phenotypic trends for days to 90 ㎏ (DAYS 90), average daily gain (ADG), feed conversion rate (FCR). and selection index (INDEX) showed a favorable increase except backfat thickness (BF), but the increase was statistically insignificant. However, the genetic trends for the 5 traits were statistically highly significant (P$lt;0.01). The annual genetic gains with corresponding S.E. were .95±.14 days (.62%) for DAYS90, 9.97±1.73g (1.16%) for ADG, .008±.002㎝ (.56%) for BF, .003±.001% (.11%) for FCR, and 1.65±.14 (.95%) for INDEX, respectively. The values in the parentheses are the corresponding ratio of annual genetic change to phenotypic means.