• Title/Summary/Keyword: 육종가

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Prediction of genomic breeding values of carcass traits using whole genome SNP data in Hanwoo (Korean cattle) (한우에 있어서 유전체 육종가 추정)

  • Lee, Seung Hwan;Kim, Heong Cheul;Lim, Dajeong;Dang, Chang Gwan;Cho, Yong Min;Kim, Si Dong;Lee, Hak Kyo;Lee, Jun Heon;Yang, Boh Suk;Oh, Sung Jong;Hong, Seong Koo;Chang, Won Kyung
    • Korean Journal of Agricultural Science
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    • v.39 no.3
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    • pp.357-364
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    • 2012
  • Genomic breeding value (GEBV) has recently become available in the beef cattle industry. Genomic selection methods are exceptionally valuable for selecting traits, such as marbling, that are difficult to measure until later in life. One method to utilize information from sparse marker panels is the Bayesian model selection method with RJMCMC. The accuracy of prediction varies between a multiple SNP model with RJMCMC (0.47 to 0.73) and a least squares method (0.11 to 0.41) when using SNP information, while the accuracy of prediction increases in the multiple SNP (0.56 to 0.90) and least square methods (0.21 to 0.63) when including a polygenic effect. In the multiple SNP model with RJMCMC model selection method, the accuracy ($r^2$) of GEBV for marbling predicted based only on SNP effects was 0.47, while the $r^2$ of GEBV predicted by SNP plus polygenic effect was 0.56. The accuracies of GEBV predicted using only SNP information were 0.62, 0.68 and 0.73 for CWT, EMA and BF, respectively. However, when polygenic effects were included, the accuracies of GEBV were increased to 0.89, 0.90 and 0.89 for CWT, EMA and BF, respectively. Our data demonstrate that SNP information alone is missing genetic variation information that contributes to phenotypes for carcass traits, and that polygenic effects compensate genetic variation that whole genome SNP data do not explain. Overall, the multiple SNP model with the RJMCMC model selection method provides a better prediction of GEBV than does the least squares method (single marker regression).

Phylogenetic Study of Genus Haliotis in Korea by Cytochrome c Oxidase Subunit 1 and RAPD Analysis (Cytochrome c oxidase subunit 1과 RAPD 분석에 의한 한국 전복속의 계통 연구)

  • Seo, Yong Bae;Kang, Sung Chul;Choi, Seong Seok;Lee, Jong Kyu;Jeong, Tae Hyug;Lim, Han Kyu;Kim, Gun-Do
    • Journal of Life Science
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    • v.26 no.4
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    • pp.406-413
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    • 2016
  • Abalones are gastropod mollusks belonging to the genus Haliotis. Pacific abalones are regarded as a very important marine gastropod mollusk in Korea, Japan, China, and also in food industries around the world. In Korea, 6 species of abalone have been reported to occur along the coasts: Haliotis discus hannai, Haliotis discus discus, Haliotis madaka, Haliotis gigantea, Haliotis diversicolor supertexta, and Haliotis diversicolor diversicolor. This study was performed to discriminate the genetic variances by the partial sequences of the mitochondrial cytochrome c oxidase subunit I (COI) genes and random amplified polymorphic DNA (RAPD) analysis against four species of Pacific abalone (H. discus hannai, H. discus, H. madaka, H. gigantea). COI gene is reasonably well conserved and has been sequenced in various invertebrate taxa. The RAPD analysis technique is a relatively simple and low cost method that allows differentiation of taxa without the need to know their genomes. In this study, we investigated the genetic diversity, phylogenetic relationships within each species. The COI and RAPD analysis were able to distinguish between H. gigantea and the other three species. However, these analysis methods were inadequate to distinguish between H. discus and H. madaka. These results are believed to be able to provide a basis data for future hybrid breeding research by defining the genetically closely related four species of abalone, which is to develop new hybrid abalone for export using hybrid breeding.

Breeding of Pleurotus eryngii, "Aeryni 5" (큰느타리(새송이)버섯 "애린이5" 품종육성)

  • Park, Bokyung;Kim, Min-Keun;Kim, Hee Dae;Joung, Wan-Kyu;Heo, Jae Young;Choi, Yong Jo;Lee, Sang Dae;Shin, Pyng-Gyun;Ryu, Jae-San
    • Journal of Mushroom
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    • v.14 no.3
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    • pp.94-99
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    • 2016
  • To breed a new Korean Pleurotus eryngii cultivar with high quality and yield, single crosses between $24{\times}46$ and KNR2539 were performed, and a new cultivar, $6{\times}13$, was selected based on the days to harvest (14.6 days), quality (7.2), and yield (85.9 g/850 cc bottle). The strain was named Aeryni 5 and cultivated on a large scale at the mushroom farms to compare with Keuneutari 2ho. The yield of Aeryni 5 (82.2 g) was 122.7% of Keuneutari 2ho, and the quality of the new cultivar was 7.7 while reference cultivar was 6.3. The yield and quality of the two cultivars were statistically different. The lightness of the pileus of Aeryni 5 (61.7) was greater than that of Keuneutari 2ho by 3.4 points; thus, the pileus of Aeryni 5 looked brighter. PCR with URP2 was used to discriminate between Aeryni 5 and Kenneutari 2ho.

Bayesian Analysis for Categorical Data with Missing Traits Under a Multivariate Threshold Animal Model (다형질 Threshold 개체모형에서 Missing 기록을 포함한 이산형 자료에 대한 Bayesian 분석)

  • Lee, Deuk-Hwan
    • Journal of Animal Science and Technology
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    • v.44 no.2
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    • pp.151-164
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    • 2002
  • Genetic variance and covariance components of the linear traits and the ordered categorical traits, that are usually observed as dichotomous or polychotomous outcomes, were simultaneously estimated in a multivariate threshold animal model with concepts of arbitrary underlying liability scales with Bayesian inference via Gibbs sampling algorithms. A multivariate threshold animal model in this study can be allowed in any combination of missing traits with assuming correlation among the traits considered. Gibbs sampling algorithms as a hierarchical Bayesian inference were used to get reliable point estimates to which marginal posterior means of parameters were assumed. Main point of this study is that the underlying values for the observations on the categorical traits sampled at previous round of iteration and the observations on the continuous traits can be considered to sample the underlying values for categorical data and continuous data with missing at current cycle (see appendix). This study also showed that the underlying variables for missing categorical data should be generated with taking into account for the correlated traits to satisfy the fully conditional posterior distributions of parameters although some of papers (Wang et al., 1997; VanTassell et al., 1998) presented that only the residual effects of missing traits were generated in same situation. In present study, Gibbs samplers for making the fully Bayesian inferences for unknown parameters of interests are played rolls with methodologies to enable the any combinations of the linear and categorical traits with missing observations. Moreover, two kinds of constraints to guarantee identifiability for the arbitrary underlying variables are shown with keeping the fully conditional posterior distributions of those parameters. Numerical example for a threshold animal model included the maternal and permanent environmental effects on a multiple ordered categorical trait as calving ease, a binary trait as non-return rate, and the other normally distributed trait, birth weight, is provided with simulation study.

Study on Estimation of Genetic Parameters for the Meat Production Traits and the Standard Growth Curve in the Inbred Line of Korean Native Pig (한국 재래 돼지 근교 계통 돈의 산육 형질에 대한 유전모수 및 표준 성장 곡선 추정에 관한 연구)

  • 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.
    • Journal of Embryo Transfer
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    • v.22 no.3
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    • pp.143-147
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    • 2007
  • 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.

Determination of Seed Fatty Acids Using Near-Infrared Reflectance Spectroscopy(NIR) in Mung Bean(Vigna radiata) Germplasm (녹두 유전자원 지방산 함량 대량평가를 위한 근적외선분광법의 적용)

  • Lee, Young-Yi;Kim, Jung-Bong;Lee, Sok-Young;Kim, Min-Hee;Lee, Jung-Won;Lee, Ho-Sun;Ko, Ho-Cheol;Hyun, Do-Yoon;Gwag, Jae-Gyun;Kim, Chung-Kon;Lee, Yong-Beom
    • The Korean Journal of Food And Nutrition
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    • v.23 no.4
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    • pp.582-587
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    • 2010
  • 본 연구에서는 녹두 유전자원의 지방산 함량을 신속 대량 검정하는 기술을 개발하여 유전자원 활용 및 육종 촉진에 기여하고자 하였다. 유전자원 평가에 적합한 신속하고 비파괴적인 지방산 함량 평가기술을 개발하기 위해 공시자원 1,125점의 녹두 종자를 종실상태와 분쇄한 분말상태로 근적외선분광분석기(NIR)를 이용하여 1,104~2,494 nm에서의 스펙트럼을 얻고 이들 중 스펙트럼이 중복되지 않는 원산지가 다양한 대표자원 106점을 선발하여 일반적인 방법으로 지방산 함량을 분석하고, 이 값과 NIR 스펙트럼 흡광도값 간의 상관분석을 위한 calibration set로 활용하였다. 그 결과 palmitic acid, stearic acid, oleic acid, linoleic acid, linolenic acid 및 total fatty acid에 대한 NIR 흡광도와의 상관계수 $R^2$이 각각 0.74, 0.18, 0.12, 0.72, 0.48 및 0.78로 나타났고, 이들 중 $R^2$가 높은 검량식을 미지의 시료 10점으로 검증한 결과, palmitic, linoleic 및 total fatty acid에 대한 검증 상관계수 $R^2$이 0.96, 0.74, 0.81로 나타나, 다양한 녹두 유전자원의 지방산함량 신속 대량 예측에 유효하게 활용될 수 있는 것으로 나타났다. 한편, 공시된 녹두 유전자원 115점 중에서 자원번호 IT208075 자원은 저 지방산 자원($14.24\;mg\;g^{-1}$)으로 선발되었고, IT163279 자원은 고 지방산 자원($18.43\;mg\;g^{-1}$)으로 선발되어 향후 녹두작물의 성분육종에 유용할 것으로 생각된다.

Estimation of Genetic Parameters for Carcass Traits in Hanwoo Steer (거세한우의 도체형질에 대한 유전모수 추정)

  • Yoon, H.B.;Kim, S.D.;Na, S.H.;Chang, U.M.;Lee, H.K.;Jeon, G.J.;Lee, D.H.
    • Journal of Animal Science and Technology
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    • v.44 no.4
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    • pp.383-390
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    • 2002
  • The data were consisted of 1,262 records for carcass traits observed at Hanwoo steers from 1998 to 2001 at Namwon and Deakwanryung branch of National Livestock Research Institute, Rural Development Administration. Pedigrees of young bulls were traced back to search for magnifying inbreeding. Genetic parameters for carcass traits with Gibbs sampling in a threshold animal model were compared to estimates with REML algorithm in linear model. As the results, most of bulls were not inbred and sire pedigree group was non-inbred population. However, most of the bulls fell in some relationship with each other. Heritability estimates as fully posterior means by Gibbs samplers in threshold model were higher than those by REML in linear model. Furthermore, these estimates in threshold model using GS showed higher estimates than estimates using tested young bulls in previous study and same model. Heritability estimate by GS for marbling score was 0.74 and genetic correlation estimate between marbling score and body weight at slaughter was –0.44. Further study for correlation of breeding values between REML algorithm in linear model and Gibbs sampling algorithm in threshold model was needed.

Evaluation of the Degrees of Genetic Connectedness Among Duroc Breed Herds (국내 두록종 농장간 유전적 연결성 추정)

  • Cho, Chungil;Choi, Jaekwan;Park, Byoungho;Kim, Sidong;Kwon, Ohsub;Choi, Youlim;Choy, Yunho
    • Journal of Animal Science and Technology
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    • v.54 no.5
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    • pp.337-340
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    • 2012
  • The genetic connectedness between herds is an essential requirement to make robust across-herd estimation of the breeding values of the animals. In this study, genetic connectedness between herds was evaluated by a connectedness rating method. A total of 24,971 records of days to 90 kg (D90KG) of the pigs on performance testing programs collected from six herds (labeled from 'A' to 'F') of Duroc breed along with pedigree information comprising 456,697 families were used. Results showed that a total of eight boars were used for semen exchange programs among participant farms. Herds 'A' through 'E' were found strongly connected among them. But 'F' herd was genetically connected strongly only with 'A' herd. The highest average connectedness rating was 91.7% between 'A' herd and 'C' herd. The lowest average connectedness rating was 65.1% between 'D' and 'F'. The concept of a single genetic group comprising six Duroc herds studied is meaningful due to high connectedness rates among them. Therefore, with this high genetic ties between participant Duroc farms, the more accurate genetic evaluation would be possible.

Genetic and of environmental effects for economic traits in pigs (돼지 주요 경제형질들에 영향을 미치는 유전 및 환경효과 추정)

  • Lee, Ill-Joo;Hong, Joon-Ki;Kim, Du-Wan;Sa, Soo-Jin;Kim, Young-Hwa;Cho, Kyu-Ho
    • Korean Journal of Agricultural Science
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    • v.40 no.4
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    • pp.347-351
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    • 2013
  • This study was conducted to estimate the effect of sex, breed and on the basis of the records on 300 pigs of Duroc, Landrace and Yorkshire breeds raised at the National Institute of Animal Science. Yorkshire was observed to be superior to other breeds between 90 to 110 kg of body weight. Thicker backfat was estimated in the B-mode than in A-mode of 110 kgs range than in 90 kgs. Loin eye muscle area was larger in the final weight of 110kg than in 90 and the Duroc had significantly (p<0.05) larger loin eye muscle area than other breeds. Thinner backfat was observed in males than in females in both modes of backfat measurements and in both of the final weights of test. Females had significantly larger loin eye muscle area than males, and the difference between the two sexes were larger in the final weight of 110 kg than in 90 kg. Analysis models concluded that backfat thickness certainly influences the body weight gain when at 90 kgs and 110 kgs analysed with A-mode and B-mode respectively.

Estimation of Genetic Parameter for Carcass Traits According to MTDFREML and Gibbs Sampling in Hanwoo(Korean Cattle) (MTDFREML 방법과 Gibbs Sampling 방법에 의한 한우의 육질형질 유전모수 추정)

  • 김내수;이중재;주종철
    • Journal of Animal Science and Technology
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    • v.48 no.3
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    • pp.337-344
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    • 2006
  • The objective of this study was to compare of genetic parameter estimates on carcass traits of Hanwoo(Korean Cattle) according to modeling with Gibbs sampler and MTDFREML. The data set consisted of 1,941 cattle records with 23,058 animals in pedigree files at Hanwoo Improvement Center. The variance and covariance among carcass traits were estimated via Gibbs sampler and MTDFREML algorithms. The carcass traits considered in this study were longissimus dorsi area, backfat thickness, and marbling score. Genetic parameter estimates using Gibbs sampler and MTDFREML from single-trait analysis were similar with those from multiple-trait analysis. The estimated heritabilities using Gibbs sampler were .52~.54, .54 ~.59, and .42~.44 for carcass traits. The estimated heritabilities using MTDFREML were .41, .52~.53, and .31~.32 for carcass traits. The estimated genetic correlation using Gibbs sampler and MTDFREML of LDA between BF and MS were negatively correlated as .34~.36, .23~.37. Otherwise, genetic correlation between BF and MS was positive genetic correlation as .36~.44. The correlations of breeding value for marbling score between via MTDFREML and via Gibbs sampler were 0.989, 0.996 and 0.985 for LDA, BF and MS respectively.