• 제목/요약/키워드: 유전능력평가

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Genetic Analysis of Carcass Traits in Hanwoo with Different Slaughter End-points (세가지 도축 종료 시점을 공변량으로 하는 한우 도체형질에 대한 유전능력 분석모형)

  • Choy, Y.H.;Yoon, H.B.;Choi, S.B.;Chung, H.W.
    • Journal of Animal Science and Technology
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    • v.47 no.5
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    • pp.703-710
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    • 2005
  • Data from Hanwoo steers and bull calves were analyzed to see the phenotypic and genetic relationships between carcass traits from four different covariance models. Four models fit test station and test period as fixed effect of contemporary group and sire as random effect assuming paternal half-sib relationships among animals. Each model fits one of linear covariate (s) of different slaughter end points-age at slaughter in the first order, age at slaughter in the first and second order, slaughter weight or back fat thickness at 12-13th rib of cold carcass. Age at slaughter in its second order was not significant. Age at slaughter accounted for signifi- cant amount of genetic variances and covariances of carcass traits. Heritability estimates of back fat thickness, rib eye area, carcass weight, marbling score and dressing percentage were 0.34, 0.22, 0.24, 0.42 and 0.18, respectively at constant age basis. The genetic correlation between carcass weight and the other variables were all positive and low to high in magnitude. Genetic correlations between back fat thickness and rib eye area and between marbling score and dressing percentage were low but negative. Variance and covariance structure between these traits were shifted to a great extent when these variables were regressed on slaughter weight or on back fat thickness. These two covariates counteracted to each other but they adjusted each carcass variable or their interrelationship according to differential growth of body components, bone, muscle and fat. Slaughter weight tended to decrease genetic variances and covariances of carcass weight and between component traits and back fat thickness tended to increase those of rib eye area and between rib eye area and carcass weight.

Genetic Diversity of Rana catesbiana Captured on various sites in Korea based on mitochondrial ND1 sequence (미토콘드리아 ND1 유전자 염기서열 비교를 통한 국내 서식 황소개구리의 유전적 다양성 조사)

  • Lee Ji-Young;Shim Jae-Man;Joung Insil
    • Proceedings of the KAIS Fall Conference
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    • 2005.05a
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    • pp.297-300
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    • 2005
  • 1970년대 식용을 위한 양식을 목적으로 일본에서 수입된 황소개구리가 국내 하천과 호서생태계에 큰 피해를 주었으나, 최근 급속히 그 개체수가 줄어든 것으로 추정되므로 이번 연구에서는 국내에 서식하는 북미산 황소개구리의 유전자 분석을 통하여 개체동태군에 대한 유전적 연관을 조사하였다. 이를 위하여 전라남도 지역에서 서식하는 황소개구리를 채집하여 이미 발표된 북미산 황소개구리와 미토콘드리아 ND1/tRNA 유전자 1215bp의 염기서열을 비교, 분석하였다. 북미산과 비교하였을 때 조사한 국내 서식 개체 모두에게 ND1/tRNA 유전자 1개 위치에서 염기변화가 발견되었으나 이는 도입 개체군의 유전자인지 국내 특이변이가 진행된 것인지 확실하지 않다. 또한 조사한 개체 일부에서 유전자 염기서열의 6위치에서의 변이가 발견되었으나 국내 서식 황소개구리는 미국산 황소개구리와의 유전적 차이가 거의 없으며, Kimura-2-parameter 분석결과 국내 서식 황소개구리 개체 내에서 $98.7\%\~100\%$의 높은 유사성을 보여 종내 유전적 차이가 거의 없는 것으로 보인다. Neighbor-Joining과 Maximum Parsimony 분석 결과, cluster를 이루는 개체군의 차이를 보였으므로 개체들이 분화되어 나온 시점과 위치가 다른 것으로 확인되었지만 장흥, 영암, 고흥의 개체가 국내 도입시기의 개체군에 속하며 광주, 남평 지역의 개체군이 고흥의 한 개체로부터 분화되어 나왔음을 추정할 수 있다. 이러한 결과로부터 국내에 서식하는 황소개구리가 도입 후 지역 특이적 분화가 일어났다고 결정하기는 무리가 있으며, 이와 같이 유전적 유전도가 높은 개체들간의 교배에 따른 유전적유전적 다양성의 감소가 최근에 관찰되는 국내산 황소개구리의 급격한 감소원인들 중의 하나일 가능성을 시사한다.년도) 18,756, 2045(년도) 22,595, 시장점유율 증가로 인한 수출액 증가분 누적(억원) : 2015(년도) 3,411, 2025(년도) 8,847, 2035(년도) 14,433, 2045(년도) 18,005 또한 시나리오 비교평가를 실시하여 본 결과, 본 연구에서 정의한 순편익 누적(Cumulative Net Profit) 변수를 적용하면 현재 연구비 추세 대비 $30\%$ 까지 연구비를 증가 시키는 것이 효율적임을 알 수 있었다.성, 생산 용이성, 제품 디자인의 우수한 정도가 a=0.01 수준 하에서 유의적으로 추정되었다. 이들 변수들 중에서 품질경쟁력에 가장 큰 영향을 미치는 측정변수는 제품의 기본 성능, 수명(내구성), 신뢰성, 제품 디자인의 순서로 추정되었다. 이것은 한국 제조업이 아직 산업 디자인이 품질경쟁력에 크게 영향을 미치는 성숙단계에 이르지 못하였음을 의미한다. (2) 제품 디자인에게 영향을 끼치는 유의적인 변수는 연구개발력, 연구개발투자 수준, 혁신활동 수준(5S, TPM, 6Sigma 운동, QC 등)이며, 제품 디자인은 우선 품질경쟁력을 높여 간접적으로 고객만족과 고객 충성을 유발하는 것으로 추정되었다. 상기의 분석결과로부터, 본 연구는 다음과 같은 정책적 함의를 도출하였다. 첫째, 신상품 개발과 혁신을 위한 포괄적인 연구개발 프로젝트를 품질 경쟁력의 주요 결정요인(제품의 기본성능, 신뢰성, 수명(내구성) 및 제품 디자인)과 연계하여 추진해야 할 것이다. 둘째, 기업은 디자인 경영 마인드 제고와 디자인 전문인력 양성을, 대학은 디자인 현장 업무를 통하여 창의력 증진과 기획 및 마케팅 능력 교육을, 정부는 디자인 기술개발 및 디자인 교육지원의 강화를 통하여 각각 디자인 경쟁력$\rightarrow$품질경쟁력을 제고시켜야 할 것이

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Multi-objective Genetic Algorithm for Variable Selection in Linear Regression Model and Application (선형회귀모델의 변수선택을 위한 다중목적 유전 알고리즘과 응용)

  • Kim, Dong-Il;Park, Cheong-Sool;Baek, Jun-Geol;Kim, Sung-Shick
    • Journal of the Korea Society for Simulation
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    • v.18 no.4
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    • pp.137-148
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    • 2009
  • The purpose of this study is to implement variable selection algorithm which helps construct a reliable linear regression model. If we use all candidate variables to construct a linear regression model, the significance of the model will be decreased and it will cause 'Curse of Dimensionality'. And if the number of data is less than the number of variables (dimension), we cannot construct the regression model. Due to these problems, we consider the variable selection problem as a combinatorial optimization problem, and apply GA (Genetic Algorithm) to the problem. Typical measures of estimating statistical significance are $R^2$, F-value of regression model, t-value of regression coefficients, and standard error of estimates. We design GA to solve multi-objective functions, because statistical significance of model is not to be estimated by a single measure. We perform experiments using simulation data, designed to consider various kinds of situations. As a result, it shows better performance than LARS (Least Angle Regression) which is an algorithm to solve variable selection problems. We modify algorithm to solve portfolio selection problem which construct portfolio by selecting stocks. We conclude that the algorithm is able to solve real problems.

Effect of the Fatty Acid Synthase and Acetyl CoA Carboxylase Genes on Carcass Quality in Commercial Hanwoo Population (한우의 Fatty Acid Synthase (FASN)와 Acetyl CoA Carboxylase-α (ACACA) 유전자내의 단일염기변이가 한우집단내의 도체형질에 미치는 영향)

  • Jeon, Eun-Kyeong;Kim, Sang-Wook;Choi, Yun-Jeong;Kim, Nae-Soo;Cho, Man-Weuk;Lee, Myoung-Il;Jeong, Yong-Ho;Lee, Jin-Suk;Kim, Kwan-Tae;Koh, Kyung-Chul;Kim, Kwan-Suk
    • Journal of Animal Science and Technology
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    • v.53 no.5
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    • pp.389-395
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    • 2011
  • This study was conducted to investigate the combined effect of fatty acid synthase (FASN) and Acetyl CoA Carboxylase-${\alpha}$ (ACACA) genes on carcass traits of Korean cattle (Hanwoo). A total of 1,057 commercial Hanwoo cattle provided by the NongHyup Livestock Research Center (NLRC) and Hanwoo Performance Competition (HPC) were used to analyze the effect of four single nucleotide polymorphisms (SNPs) within FASN (g.11280A>G, g.16024A>G, g.16039T>C, and g.17924A>G) and one SNP within ACACA (g.2274G>A) genes. In addition, the effect of genotypic combinations between FASN (g.17924A>G) and ACACA (g.2274G>A) SNPs has been studied with carcass traits. Significant associations were identified between g.17924A>G of FASN and carcass weight and back fat, and between the ACACA gene SNP g.2274G>A and longissimus muscle area with HPC samples. It was also found that both effects of FASN g.17924A>G and ACACA g.2274G>A polymorphisms were consistent in NLRC samples. Combined analyses of both NLRC and HPC samples also revealed the significant associations between the FASN g.17924A>G and carcass weight and back fat and between the ACACA g.2274G>A and back fat, respectively. The effect of the genotypic combination of g.17924A>G within FASN and g.2274G>A within ACACA genes showed that the combination of both GG genotypes of FASN and ACACA SNPs causes higher carcass weight and marbling score. The results of this study indicate that the two SNP markers within the FASN and ACACA genes can be utilized to select superior Hanwoo cows and calves in commercial Hanwoo farms.

Study on the Application of Ultrasound Traits as Selection Trait in Hanwoo (한우 선발형질로써 초음파 형질의 활용방안 연구)

  • Choi, Tae Jeong;Choy, Yun Ho;Park, Byoungho;Cho, Kwang Hyun;Alam, M;Kang, Ha Yeon;Lee, Seung Soo;Lee, Jae Gu
    • Journal of agriculture & life science
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    • v.51 no.2
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    • pp.117-126
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    • 2017
  • Hanwoo young bulls are selected based on performance test using the weight at 12 months and pedigree index comprising marbling score. Pedigree index was not based on the progeny tested data but the breeding value of the proven bulls; resulting a lower accuracy. The progeny testing of the young bulls was categorized into testing at farm and at the test station. The farm tested data was difficult to compare with those from test station data. Farm tested bulls had different slaughter ages than those for test station bulls. Therefore, this study had considered a different age at slaughter for respective records on ultrasound traits. Records on body weight at 12 months, ultrasound measures at 12 and 24 months(uIMF, uEMA, uBFT, and uRFT), and carcass traits(CWT, EMA, BFT, and MS) were collected from steers and bulls of Hanwoo national improvement scheme between 2008 and 2013. Fixed effects of batch, test date, test station, personnel for measurement, personnel for judging, and a linear covariate of weight at measurement were fitted in the animal models for ultrasound traits. The ranges of heritability estimates of the ultrasound traits at 12 and 24 months were 0.21-0.43 and 0.32-0.47, respectively. Ultrasound traits at 12 and 24 months between similar carcass traits was genetically correlated at 0.52-0.75 and 0.86-0.89, respectively.

Parameter Estimates for Genetic Effects on Growth Traits of Korean Native Goats (한국재래산양의 발육형질에 대한 유전능력 평가)

  • Kim, Y.K.;Lee, J.W.;Choi, S.H.;Son, S.G.;Na, G.J.;Moon, S.J.;Kim, J.H.
    • Journal of Animal Science and Technology
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    • v.44 no.2
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    • pp.171-180
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    • 2002
  • Data were collected from 1996 through 2000 on Korean Native Goats by the National Livestock Research Institute of Korea were used to estimate genetic parameters for birth, 3 month, and 6 month body weights. Estimates were obtained with MTDFREML. Model included animal and maternal genetic and residual effects. The model included sex, birth year-season, and feeding type as fixed factors. Average body weights and standard deviation were 1.78${\pm}$0.32 at birth of age, 7.99${\pm}$2.66 at 3 month of age, and 12.08${\pm}$3.20 kg at 6 month of age, respectively. Average body measurements were 36.46cm for withers height, 38.06cm for body length, and 45.56cm for heart girth at 3 month of age, and were 40.27cm for withers height, 42.01cm for body length, and 51.07cm for heart girth at 6 month of age, respectively. Estimates of heritability were 0.66 for birth weight, 0.34 for 3 month body weight, and 0.27 for 6 month body weight, respectively. Maternal effects would be important for birth and 3 month body weights and may not be needed in a model for 6 month body weight.

The Accuracy of Genomic Estimated Breeding Value Using a Hanwoo SNP Chip and the Pedigree Data of Hanwoo Cows in Gyeonggi Province (한우 SNP Chip 및 혈통 데이터를 이용한 경기 한우 암소의 유전능력평가 정확도 분석)

  • Lee, Gwang Hyeon;Lee, Yoon Seok;Moon, Seon Jeong;Kong, Hong Sik
    • Journal of Life Science
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    • v.32 no.4
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    • pp.279-284
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    • 2022
  • This study was conducted to establish a genetic evaluation system applicable to general farms for improving cows raised on farms. The analysis used Best Linear Unbiased Prediction (BLUP) and Genomic Best Linear Unbiased Prediction (GBLUP) for 619 cows raised in Gyeonggi-do Province and compared and analyzed the accuracy of the estimated breeding value according to four traits (carcass weight, loineye muscle area, back fat thickness, and marbling). In the case of the GBLUP method, the size of the reference population was divided into different four groups and analyzed. The analysis results confirmed that the accuracy of the breeding value of each trait increased as the size of the GBLUP reference population increased. Comparing the accuracy of the breeding values estimated using the BLUP and GBLUP methods, it was confirmed that when the breeding values were estimated using the GBLUP method, they increased by 0.10, 0.09, 0.09, and 0.11 for carcass weight, eye muscle area, back fat thickness, and marbling scores, respectively. Applying the GBLUP method to the evaluation and selection of cows can enable precise and accurate individual selection, while increasing the size of the reference population can make even more accurate individual selection possible, thus increasing selection efficiency.

Changes rate in selection of Yorkshire pig for productive traits using the integrated test records among GGPs (핵돈군간 산육형질의 통합자료를 이용한 요크셔 종돈의 선발비율 변화)

  • Cho, Kwang-Hyun;Kim, Sung-Hoon;Park, Kyung-Do
    • Journal of the Korean Data and Information Science Society
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    • v.27 no.2
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    • pp.429-435
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    • 2016
  • Heritability estimates for daily gain (g), backfat thickness (mm), days to 90kg (day), loin eye depth (mm) and meat percent (%) were 0.40, 0.44, 0.40, 0.25 and 0.48, respectively. Estimates of correlation between breeding value and rank for meat productivity traits by model 1 and 2 were 0.995 1.000 and 0.991 1.000, respectively and highly significant (p< 0.0001), and they were almost identical to the breeding values estimated by different farms. When top 5% and top 10% animals were selected by meat productive traits at different farms, markedly different animals were selected by farms since the selected improvement traits in each farm maintaining closed herds were different. Therefore, it seems to be desirable that superior pigs should be selected after the establishment of evaluation system for genetic performance at national level using the integrated data obtained from various farms.

Comparison of Breeding Value by Establishment of Genomic Relationship Matrix in Pure Landrace Population (유전체 관계행렬 구성에 따른 Landrace 순종돈의 육종가 비교)

  • Lee, Joon-Ho;Cho, Kwang-Hyun;Cho, Chung-Il;Park, Kyung-Do;Lee, Deuk Hwan
    • Journal of Animal Science and Technology
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    • v.55 no.3
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    • pp.165-171
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    • 2013
  • Genomic relationship matrix (GRM) was constructed using whole genome SNP markers of swine and genomic breeding value was estimated by substitution of the numerator relationship matrix (NRM) based on pedigree information to GRM. Genotypes of 40,706 SNP markers from 448 pure Landrace pigs were used in this study and five kinds of GRM construction methods, G05, GMF, GOF, $GOF^*$ and GN, were compared with each other and with NRM. Coefficients of GOF considering each of observed allele frequencies showed the lowest deviation with coefficients of NRM and as coefficients of GMF considering the average minor allele frequency showed huge deviation from coefficients of NRM, movement of mean was expected by methods of allele frequency consideration. All GRM construction methods, except for $GOF^*$, showed normally distributed Mendelian sampling. As the result of breeding value (BV) estimation for days to 90 kg (D90KG) and average back-fat thickness (ABF) using NRM and GRM, correlation between BV of NRM and GRM was the highest by GOF and as genetic variance was overestimated by $GOF^*$, it was confirmed that scale of GRM is closely related with estimation of genetic variance. With the same amount of phenotype information, accuracy of BV based on genomic information was higher than BV based on pedigree information and these symptoms were more obvious for ABF then D90KG. Genetic evaluation of animal using relationship matrix by genomic information could be useful when there is lack of phenotype or relationship and prediction of BV for young animals without phenotype.

Estimation of Genetic Parameters of Body Weights in Hanwoo Steers(Korean Cattle), Bos Taurus Coreanae Using Random Regression Model (임의회귀모형을 이용한 한우 거세우 체중의 유전모수 추정)

  • Seo, Kang- Seok;Salces, Agapita J.;Yoon, Du- Hak;Lee, Hong- Gu;Kim, Sang- Hoon;Choi, Te- Jeong
    • Journal of Animal Science and Technology
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    • v.50 no.2
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    • pp.151-156
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    • 2008
  • The study aimed to estimate genetic parameters of body weights in Hanwoo steers using random regression model and compare it with single trait animal model. A total of 1,372 Hanwoo steers that belonged to progeny testing program of the Hanwoo Genetic Improvement conducted at the Livestock Improvement Main Center of the National Agricultural Cooperative Federation (LIMC-NACF) in Rep. of Korea were used. Results of the random regression model fitting quadratic function revealed heritability values from 0.17 to 0.30 for the whole testing days up to 800 days. The results of the animal model showed estimated heritability values ranged from 0.24 to 0.36. Estimates of permanent environmental correlations tended to increase with increasing test in days. Unlike in the direct genetic correlation that at early stage the estimate was slightly negative it was 0.30 then increased to approach unity at later stage of test. Comparing the results between random regression model and the animal model showed not much differences and both followed similar pattern and therefore the use of random regression model for the national genetic evaluation of Hanwoo could be implemented.