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한국 재래 돼지 근교 계통 돈의 산육 형질에 대한 유전모수 및 표준 성장 곡선 추정에 관한 연구
김명직,조규호,전기준,김영화,박준철,정현정,김인철,권오섭,진현주,김진형,이학교,Kim, M.J.,Cho, K.H.,Jeon, G.J.,Kim, Y.H.,Park, J.C.,Jung, H.J.,Kim, I.C.,Kwon, O.S.,Jin, H.J.,Kim, J.H.,Lee, H.K. 한국수정란이식학회 2007 한국동물생명공학회지 Vol.22 No.3
본 연구는 재래 돼지의 산육 능력을 개량하기 위한 기초 자료를 제공하기 위하여 축산과학원에서 2001년부터 2006년까지 20 kg에 검정을 개시하고 70 kg에 검정을 종료하여 발육 능력을 조사한 546개의 재래 돼지 산육 능력 검정 자료를 활용하여 유전모수를 추정하였으며, 재래 돼지 사육 농가의 사양방법 개선을 위하여 2003년부터 2005년까지 조사된 재래 돼지성돈 및 검정돈 132두의 발육 단계별 체중 및 체위 조사 자료를 다중 회귀 분석하여 재래 돼지 발육 표준 자료를 제시하였다. 재래 돼지의 주요 산육 능력에 대한 유전력을 추정한 결과, 일당 증체량과 등지방 두께에서 중도의 유전력이 나타나는 것을 확인하였으며, 체중 및 체위에 대한 성장 곡선을 추정한 결과 11개월령 이후는 체장, 체고 및 흉폭의 변화가 거의 없는 것을 확인할 수 있었다. 이와 같은 결과를 통하여 본 연구에서 추정한 재래 돼지 산육 형질의 유전모수를 이용하여 육종가 추정과 후보돈 선발에 적용함으로써 유전적 개량을 증대시키고, 발육 단계별 체중 및 체위 표준 자료를 재래 돼지 능력향상 연구와 사육 방법 개선을 위한 기초 자료로 활용함으로써 재래 돼지의 산업화에 기여할 수 있을 것으로 기대된다. Records on 546 Korea native pigs for average daily gain (ADG), age at 70 kg (D70 kg) and backfat thickness (BF) made between 2001 and 2006 in herds on National Institutes of Animal Science in Korea were used to estimate genetic parameters. The data was analyzed by the DF-REML (Derivative-Free Restricted Maximum Likelihood) program of Boldman using a single-trait animal model. Heritabilities were 0.26, 0.09, and 0.29 for ADG, D70 kg and BF, respectively. The phenotypic correlations of ADG with D70 kg and BF were -0.71 and 0.30. The phenotypic correlation of D70 kg with BF was -0.15. The genetic correlations of ADG with D70 kg and BF were -0.11, 0.41, respectively. The genetic correlation of D70 kg with BF was -0.16. The data of weights and measurements on body length, body height and chest width after age at 11 months (days to 330) were shown scarcely less differences compare to data of age at 11 months.
Microsatellite Marker를 이용한 한국재래돼지 집단의 품종특성 및 원산지 추적을 위한 개체식별체계 설정
김명직,이관호,오재돈,조규호,전기준,최봉환,이제현,홍윤숙,공홍식,이학교,Kim, M.J.,Li, G.H.,Oh, J.D.,Cho, K.H.,Jeon, G.J.,Choi, B.H.,Lee, J.H.,Hong, Y.S.,Kong, H.S.,Lee, H.K. 한국축산식품학회 2007 한국축산식품학회지 Vol.27 No.2
본 연구는 서로 다른 상염색체에 위치하고 있는 초위성체 유전 표지를 활용한 한국재래돼지 집단의 개체 식별시스템 설정을 위해 수행되었다. 공시재료는 4품종에서 총 446두가 사용되었으며 13종의 좌위에 대한 개체별 유전자형을 분석하였다. 이들 13종에서 출현된 이형접합도는 0.286-0.686였으며 marker 다형성 정보량은 0.399-0.796로 나타났다. 한국 재래돼지 집단에서 나타난 대립 유전자 발현 특성은 다른 대조 품종 집단과 매우 상이한 결과를 나타냈다. S0228좌위는 전체 8종의 대립유전자가 나타난 가운데 다른 3품종에서는 발현이 되지 않은 235 대립유전자가 한국 재래돼지 집단에서만 발현이 되었다. 5종의 초위성체 유전 표지를 활용할 경우 누적 개체 식별력은 99.999%를 나타냈으며 두 마리의 서로 다른 개체가 서로 같은 유전자형을 가질 짝확률은 $0.36{\times}10^{-9}$으로 추정되었다. 따라서 10종의 선정된 유전 표지는 한국재래돼지 집단에서 적정 신뢰도를 제공할 수 있는 개체 식별 시스템을 설정할 수 있을 것으로 생각된다. This study was conducted to analyze the genetic characteristics of Korean Native Pigs(KNP), and to establish an individual identification system comprising many microsatellite markers located on different pig autosomes. Genotype data from 13 microsatellites typed in 446 animals was used to determine the validation of a method of individual identification in 4 KNP. A total of 112 alleles of the 13 microsatellites were detected and average heterozygosities(polymorphic information content) ranged from 0.286(0.423) to 0.686(0.796) in this study. Comparing the pattern of allele frequency among the KNP, Yorkshire, Landrace and Duroc breeds, there was specific differentiation between populations at multi-allelic loci. The cumulative power of discrimination(CPD) was 99.999% by including 10 microsatellite loci for the individual identification system. The probability that two different individuals incidentally have same genotype was estimated to be $0.36{\times}10^{-9}$. The system employing these 10 markers therefore proved to be applicable to the individual identification of KNP.
제한된 서비스를 가지는 사이클릭서비스 시스팀의 평균 대기시간에 관한 연구
이정희(J H Lee),권보섭(B S Kwon),전기준(G J Jeon) 한국정보과학회 1990 한국정보과학회 학술발표논문집 Vol.17 No.2
컴퓨터 시스팀 및 근거리 통신망의 발달에 따라 사이클릭서비스 방식이 많이 응용되고 있다. 본 논문에서는 다중 큐로 구성된 사이클릭서비스 시스팀에서 서버(server)가 각 큐를 방문시 허용된 최대 메시지수 만큼 서비스할 수 있도록 한 제한된 서비스 방식을 모델로 하고 있다. 사이클릭서비스 시스팀을 해석하는데 있어서 매우 중요한 pseudo-conservation law를 이용하여, 상한 경계치를 이용한 Fuhrmann의 근사식의 오차를 줄이고 큐의 평균 대기시간을 구하기 위한 간단한 근사식을 제안하며 기존의 다른 결과와 상호 비교하였다.
개체모형에 의한 한우의 성장단계별 체중의 유전모수 추정
최재관,전기준,이창우,나기준,이채영,김종복 한국동물자원과학회 2003 한국축산학회지 Vol.45 No.5
The objective of this study were to investigate the genetic characteristics of body weight by growth pcriods for Hanwoo. A total of 1,736 records were used for body weight. The data for body weights were collected from 1990 to 2000 in Dackwanryon branch, National Livestock Research Institute(NLRI). Estimates of (co)variance components were obtained by derivative-free Restricted Maximum Likelihood (DF-REML). The results are summarized as follows; The means for the weights were 25.60, 79.31, 98.91, 145.40, 283.62, 392.32, 545.65㎏ at birth, 3, 4, 6, 12, 18, 24month postpartum, respectively. The effects of calving year-season were significant for the milk yield of cow. Heritability estimates of direct genetic effects for birth weight were 0.54(all), 0.52(female), 0.36(male) in model Ⅰ, 0.45(all), 0.41(female), 0.24(male) in modelⅡ, and heritabilities estimates of direct genetic effects for 4 month(weaning) weight were 0.47(all), 0.33(female), 0.28(male) in model Ⅰ, 0.38(all), 0.21(female), 0.21(male) in model Ⅱ. Heritability estimates for male and female data differed from those for combined data. The estimates became smaller for the body weights at 12 month or later(0.13~0.05). The heritabilities of average daily gain were smaller than those for body weights, but showed that the similar pattern to body weights.
이창우,최재관,전기준,나기준,이채영,황정미,김병완,김종복 한국동물자원과학회 2003 한국축산학회지 Vol.45 No.5
Weight records of Hanwoo cows from birth to 36 months of age collected in Daekwanryeong branch, National Livestock Research Institute(LNRI) were fitted to Gompertz, von Bertalanffy and Logistic functions. For the growth curve parameters fitted on individual records using Gompertz model, the mean estimates of mature weight(A), growth ratio(b) and growth rate(k) were 383.42±97.29㎏, 2.374±0.340 and 0.0037±0.0012, respectively, and mean estimates of body weight, age and daily gain rate at inflection were 141.05±35.79㎏, 255.63±109.09 day and 0.500±0.123㎏, respectively. For von Bertalanffy model, the mean estimates of A, b and k were 410.47±117.98㎏, 0.575±0.057 and 0.003±0.001, and mean estimates of body weight, age and daily gain at inflection were 121.62±34.94㎏, 211.02±105.53 and 0.504±0.124㎏. For Logistic model, the mean estimates of A, b and k were 347.64±97.29㎏, 6.73±0.34 and 0.006±0.0018, and mean estimates of body weight, age and daily gain at inflection were 173.82±37.25㎏, 324.47±126.85 and 0.508±0.131㎏. Coefficients of variation for the A, b and k parameter estimates were 25.3%, 14.3% and 32.4%, respectively, for Gompertz model, 28.7%, 9.9% and 33.3% for von Bertalanffy model, and 27.9%, 5.0% and 30.0% for Logistic model.
이창우,최재관,전기준,나기준,이채영,황정미,김종복 한국동물자원과학회 2003 한국축산학회지 Vol.45 No.5
Some growth curve models were used to fit individual growth of 1,083 Hanwoo cows born from 1970 to 2001 in Daekwanryeong branch, National Livestock Research Institute(NLRI). The effects of year-season of birth and age of dam were analyzed. In analysis of variance for growth curve parameters, the effects of birth year-season were significant for mature weight(A), growth ratio(b) and maturing rate(k)(P<.01). The effects of age of dam were significant for growth ratio(b) but not significant for mature weight(A) and maturing rate(k). The linear term of the covariate of age at the final weights was significant for the A(P<.01) and k(P<.01) of Gompertz model, von Bertalanffy model and Logistic model. For the growth curve parameters fitted on individual data using Gompertz model, von Bertalanffy model and LOgistic model, rusulting the linear contrasts(fall-spring), Least square means of A in three nonlinear models were higher cows born all fall and A of Logistic model was significant(P<.05) between the seasons. According to the results of the least square menas of growth curve parameters by age of dam, least square means of mature weight(A) in Gompertz model was largest in 6 year and smallest estimating for 3 and 8 years of age of dam. The growth ratio(b) was largest in 2 year of age of da and smallest estimating in 8 year. The A and k were not different by age of dam(p>.05), On the other hand, the b was different by age of dam.(p<.01). The estimate of A in von Bertalanffy model was largest in 6 year and smallest in 8 and 9 years of age of dam. The b was largest in 2 year and tend to decline as age of dam increased. The A and k were not different by age of dam(p>.05), On the other hand, the b was highly significant by age of dam(p<.01).