• Title/Summary/Keyword: Genetic Improvement

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Mapping, Tissue Distribution and Polymorphism of Porcine Retinol Binding Protein Genes (RBP5 and RBP7)

  • Gong, W.H.;Tang, Z.L.;Han, J.L.;Yang, S.L.;Wang, H.;Li, Y.;Li, K.
    • Asian-Australasian Journal of Animal Sciences
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    • v.21 no.11
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    • pp.1544-1550
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    • 2008
  • The retinoids (vitamin A and its derivatives) play a critical role in vision, growth, reproduction, cell differentiation and embryonic development. Using the IMpRH panel, porcine cellular retinol binding protein genes 5 and 7 (RBP5 and RBP7) were assigned to porcine chromosomes 5 and 6, respectively. The complete coding sequences (CDS) of the RBP5 and RBP7 genes were amplified using the reverse transcriptase polymerase chain reaction (RT-PCR) method, and the deduced amino acid sequences of both genes were compared to human corresponding proteins. The mRNA distributions of the two genes in adult Wuzhishan pig tissues (lung, skeletal muscle, spleen, heart, stomach, large intestine, lymph node, small intestine, liver, brain, kidney and fat) were examined. A total of nine single nucleotide polymorphisms (SNPs) were identified in two genes. Three of these SNPs were analyzed using the polymerase chain reaction-restriction-fragment length polymorphism (PCR-RFLP) method in Laiwu, Wuzhishan, Guizhou, Bama, Tongcheng, Yorkshire and Landrace pig breeds. Association analysis of genotypes of these SNP loci with economic traits was done in our experimental populations. Significant associations of different genotypes of $RBP5-A/G^{63}$, $RBP5-A/G^{517}$ and $RPB5-T/C^{intron1-90}$ loci with traits including maximum carcass length (LM), minimum carcass length (LN), marbling score (MS), back fat thickness at shoulder (SBF), meat color score (MCS) and hematocrit (HCT) were detected. These SNPs may be useful as genetic markers in genetic improvement for porcine production.

Comparison and Validation of Genetic Diversity and Population Structure Using Monomorphic SNP Data of the Korean Native Black Goat and Crossbred Goat (재래흑염소와 교잡종 염소의 Monomorphic SNP 분석을 통한 유전적 다양성과 집단구조의 비교 및 검증)

  • Kim, Kwan-Woo;Lee, Jinwook;Lee, Eun-Do;Lee, Sung-Soo;Choi, You-Lim;Lim, Hyun-Tae;Kim, Yousam;Lee, Sang-Hoon
    • Journal of Life Science
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    • v.30 no.11
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    • pp.1007-1011
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    • 2020
  • This study was conducted to analyze the genetic diversity and relationships that discriminate between Korean native black goat populations (Dangjin, Jangsu, Tongyoung, and Gyeongsang National University strains) and crossbred goats. Monomorphic single nucleotide polymorphisms (SNPs) in each strain were collected, and 133 common SNPs were selected for analysis. These 133 monomorphic SNPs showed differences in the genetic structure of the Korean native black goat and crossbred goats, and results from the principal component analysis (PCA) showed that the two can be clearly separated. Furthermore, analysis of the validation population comprising 70 individuals (Korean native black goats, n = 24; crossbred goats, n = 46) with the reference population showed that Korean native black goat strains and the reference population have the same genetic structure, and the crossbred goats shared only part of the genetic structure with the reference population. The result of the PCA analysis showed that the Korean native black goat strains form one population, whereas the foreign strains form another population which is more widely dispersed than the Korean native black goat strains. Thus, the results from this study can be used as baseline data for the conservation of genetic resources of Korean native black goat communities through utilization of monomorphic SNPs and for the introduction of exotic species for further improvement in genetic diversity. This study can also help reduce unnecessary inbreeding and gene flow between native strains.

Practice of industrial strain improvement (제 1차 한.중 생명공학 심포지움)

  • Lei, Zhao-zu
    • The Microorganisms and Industry
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    • v.19 no.2
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    • pp.34-41
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    • 1993
  • Industrial strain improvement is concerned with developing or modifying microorganisms used in production of commercially important fermentation products. The aim is to reduce the production cost by improving productivity of a strain and manipulating specific characteristics such as the ability to utilize cheaper raw materials or resist bacteriophages. The traditional empirical approach to strain improvement is mutation combined with selection and breeding techniques. It is still used by us to improve the productivity of organisms in amino acids, organic acids and enzymes production. The breeding of high L-lysine-producing strain Au112 is one of the outstanding examples of this approach. It is a homoserine auxotroph with AEC, TA double metabolic analogue resistant markers. The yield reaches 100 g/l. Besides, the citric acid-producing organism Aspergillus niger, Co827, its productivity reaches the advanced level in the world, is also the result of a series mutations especially with $^60Co{\gamma}$-radiation. The thermostable .alpha.-amylase producing strain A 4041 is the third example. By combining physical and chemical mutations, the strain A 4041 becomes an asporogenous, catabolite derepressed mutant with rifamycin resistant and methionine, arginine auxotroph markers. The .alpha.-amylase activity reaches 200 units/ml. The fourth successful example of mutation in strain improvement is the glucoamylase-producing strain Aspergillus niger SP56, its enzyme activity is 20,000 units/ml, 4 times of that of the parental strain UV-11. Recently, recombinant DNA approach provides a worthwhile alternative strategy to industrial strain improvement. This technique had been used by us to increase the thermostable .alpha.-amylase production and on some genetic researches.

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MULTI-STAGE AERODYNAMIC DESIGN OF AIRCRAFT GEOMETRIES BY KRIGING-BASED MODELS AND ADJOINT VARIABLE APPROACH (Kriging 기반 모델과 매개변수(Adjoint Variable)법을 이용한 항공기형상의 2단계 공력최적설계)

  • Yim, J.W.;Lee, B.J.;Kim, C.
    • 한국전산유체공학회:학술대회논문집
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    • 2009.04a
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    • pp.57-65
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    • 2009
  • An efficient and high-fidelity design approach for wing-body shape optimization is presented. Depending on the size of design space and the number of design of variable, aerodynamic shape optimization process is carried out via different optimization strategies at each design stage. In the first stage, global optimization techniques are applied to planform design with a few geometric design variables. In the second stage, local optimization techniques are used for wing surface design with a lot of design variables to maintain a sufficient design space with a high DOF (Degree of Freedom) geometric change. For global optimization, Kriging method in conjunction with Genetic Algorithm (GA) is used. Asearching algorithm of EI (Expected Improvement) points is introduced to enhance the quality of global optimization for the wing-planform design. For local optimization, a discrete adjoint method is adopted. By the successive combination of global and local optimization techniques, drag minimization is performed for a multi-body aircraft configuration while maintaining the baseline lift and the wing weight at the same time. Through the design process, performances of the test models are remarkably improved in comparison with the single stage design approach. The performance of the proposed design framework including wing planform design variables can be efficiently evaluated by the drag decomposition method, which can examine the improvement of various drag components, such as induced drag, wave drag, viscous drag and profile drag.

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Trends on Racing Speed Traits in Thoroughbred Racehorses (더러브렛 경주마의 속도형질에 대한 추세 분석)

  • Park, Kyung-Do;Lee, Hak-Kyo;Jeon, Gwang-Joo;Kong, Hong-Sik;Cho, Byung-Wook;Cho, Kwang-Hyun;Son, Sam-Kyu
    • Journal of Animal Science and Technology
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    • v.50 no.6
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    • pp.747-752
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    • 2008
  • This study was carried out to calculate genetic trends on racing speed traits of Thoroughbred racehorses, using a total 208,043 racing records of 9,934 heads collected from January, 1990 to December, 2006 in Gwacheon racecourse. Repeated time, winning time and annual best time were used racing speed traits. The estimated heritabilities and repeatabilities for repeated time, winning time and annual best time were 0.288, 0.275, 0.341 and 0.502, 0.475, 0.496, respectively. Average phenotypic improvement per race year for racing speed traits were ranged from -0.115 to 0.148 second. The other side, the genetic improvement per race year for repeated time was -0.027 second but winning time and annual best time were not shown consistent trends. Therefore, we concluded that repeated time is recommended improvement trait of Thoroughbred racehorses.

Status of Molecular Biotechnology Research Based on Tissue Culture of Soybean (콩 조직배양 기술에 기반한 생명공학 연구 동향)

  • Seo, Mi-Suk;Cho, Chuloh;Choi, Man-Soo;Chun, JaeBuhm;Jin, Mina;Kim, Dool-Yi
    • Korean Journal of Plant Resources
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    • v.33 no.5
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    • pp.536-549
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    • 2020
  • Soybean (Glycine max (L.) Merrill) is one of the most important crops of the world. With the completion of the soybean genome sequence, the Korean soybean core collection consisted of 430 accessions with genetic and phenotypic diversity was constructed in recent year. The availability of genome sequences and core collection will result in the crop improvement by molecular breeding using the various accessions and genome editing approaches. Efficient tissue culture techniques, such as haploid production, protoplast culture and plant regeneration from various organs are essential for the successful molecular biological approach and crop improvement. However, soybean is still considered to be recalcitrant in tissue culture because of the low frequency of regeneration and limitation of available responsive cultivars. In this study, we discuss the recent studies of tissue culture technology and methodology for efficient tissue culture to genetic improvement and application of molecular biotechnology in soybean.

The Tendency of Scientific Research of Tree Improvement and Forest Management in Japan (일본(日本)의 임목육종(林木育種) 및 삼림경영연구동향(森林經營硏究動向))

  • Kim, Young Ho;Son, Doo Sik
    • Current Research on Agriculture and Life Sciences
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    • v.2
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    • pp.42-55
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    • 1984
  • The direction of scientific researches on tree improvement and forest management in several universities and research institutes in Japan can be summarized as follows: They put a great emphasis on sugi, Cryptomeria japonica and cypress, Chamaecyparus oblusa which are two major conifer species largerly planted in the Japanese forestry. In the research of sugi, a great concern has been made in evaluating inheritance of forest tree, quantitative characters and genetic parameter of growth, and in breeding for resistance to diseases and insects and to all the natural calamities. Interaction between environmental conditions and genetic nature of tree can be concerned factors in relation with forest damage, together with silvicultural conditions and pest infestation. Selfing hybrids of $F_1$ made from crossing twisted-leaf sugi, defomity leaf type and midori sugi, normal leaf type segregated the normal needle, twisted needle, green leaf and albino leaf type. It seemed that separation of many defomity individuals can be governed by two dominant complementary genes and from the near loci of which it was detected lethal genes. 52% of Japanese forestry is occupied by the small forest landowners like Korean forestry. This made difficulty for forest improvement such as progressive afforestation and for capital accumulation form forestry. The Forest Corporation was established at first in 1959 to aming at productive forestry structure and forest management, and afforestation. For these purpose, 35 Forest Corporations are at moment operating throughout Japan. However, investment in forestry business becomes less attractive since the wage in forest production duction increased in higher trend. than timber price. Therefore, an artifical afforestation becomes yearly decreased. At present. the self-sufficient rate of timber production in Japan is about 35%, and so a great effort is being made to increase self-sufficient rate of timber production.

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Relationships Among Cow Daily Milk Yield, Calf Body Weight at Birth and 3 Month of Age and Preweaning Daily Gain in Hanwoo (한우 어미 소의 일일 산유량과 송아지의 생시체중, 3개월령 체중 및 포유기 일당증체량에 관한 상관 분석)

  • Hwang, Jeong-Mi;Kim, Si-Dong;Choi, Jae-Gwan;Lee, Chae-Young;Kim, Byung-Wan;Kim, Jong-Bok
    • Journal of Animal Science and Technology
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    • v.50 no.5
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    • pp.591-600
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    • 2008
  • This study was conducted to investigate relationships among cow daily milk yield, calf body weight at birth and 3 month of age and calf preweaning daily gain. Cow daily milk yield(DMILK) of 90 days after postpartum measured by weigh-suckle-weight method, calf birth weight(BW), calf body weight at 3 month of age(WT3), and calf preweaning daily gain from birth to 3 month of age(PDG) were collected from June to November on 2002 and April to November on 2003. All traits studied were considered as cow traits and analysed by WOMBAT packages to obtain A-I REML(average information restricted maximum likelihood) estimates. Heritability estimate of daily milk yield uncorrected for cow-calf separation time(DMILK) was 0.39, which was not differ from 0.36 of heritability estimate corrected on the basis of 24 hour cow-calf separation time(CMILK). Heritability estimates for maternal genetic effects of BW, WT3 and PDG were respectively 0.28, 0.17 and 0.18. Genetic correlations between DMILK and maternal effect of BW, WT3 and PDG were respectively 0.59, 0.79 and 0.68. High genetic correlation coefficients of DMILK with WT3 and PDG indicate that selections for maternal breeding value for WT3 or PDG may be effective to enhance the cow’s milk production ability in Hanwoo.

Improvement of Roll Profile Prediction Model in Hot Strip Rolling (열간압연 공정에서 롤 프로파일 예측모델 향상)

  • Chung, J.S.;You, J.;Park, H.D.
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 2007.05a
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    • pp.229-232
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    • 2007
  • In hot strip rolling, the work roll profile is one of the main factors in predicting and correcting the strip profile. Various studies concerning the wear profile and the thermal crown of work roll have been performed, and the results of these studies have shown that the work roll profile must be predicted accurately so as to efficiently control the strip qualities such as thickness, crown, flatness, and camber. Therefore, a precise prediction model of roll profile is called for in a perfect shape control system. In this paper, a genetic algorithm was applied to improve on the roll profile prediction model in hot strip rolling. In this approach, the optimal design problem is formulated on the basis of a numerical model so as to cover the diverse design variables and objective functions. A genetic algorithm was adopted for conducting design iteration for optimization to determine the coefficient of the numerical model for minimization of errors in the result of the calculated value and the measured data. A comparative analysis showed a satisfactory conformity between them..

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Run-flat Tire Optimization Using Response Surface Method and Genetic Algorithm (반응표면법과 유전자 알고리듬을 이용한 런플랫 타이어 최적화)

  • Choi, Jaehyeong;Kang, Namcheol
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.25 no.4
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    • pp.247-254
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    • 2015
  • Ride comfort is one of the major factors in evaluating the performance of the vehicle. Tire is closely related to the ride comfort of the vehicle as the only parts in contact with the road surface directly. Vertical stiffness which is one of the parameters to evaluate the tire performance is great influence on the ride comfort. In general, the lower the vertical stiffness, the ride comfort is improved. Research for improving the ride comfort has been mainly carried out by optimizing the shape of the pneumatic tire. However, demand for safety of the vehicle has been increased recently such as a run-flat tire which is effective in safety improvement. But a run-flat tire have trouble in practical use because of poor ride comfort than general tire. Therefore, In this paper, the research was carried out for improving the ride comfort through the optimization of the SIR shape inside a run-flat tire. Meta-model was generated by using the design of experiment and it was able to reduce the time for the finite element analysis of optimization. In addition, Shape optimization for improving the ride comfort was performed by using the genetic algorithm which is one of the global optimization techniques.