• 제목/요약/키워드: Genetic techniques

검색결과 744건 처리시간 0.025초

심비디움 육종, 조직배양 및 형질전환 연구동향에 관한 고찰 (Review on breeding, tissue culture and genetic transformation systems in Cymbidium)

  • 이유미;김미선;이상일;김종보
    • Journal of Plant Biotechnology
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    • 제37권4호
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    • pp.357-369
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    • 2010
  • Cymbidium is horticulturally important and has been one of the most commercially successful orchid plants as well as cut flowers around the world including Korea. Up to now, a huge number of elite Cymbidium cultivars have been released on the commercial market via cross-hybridization, mutation and polyploidization breeding techniques. To investigate on breeding system in Cymbidium, we inquired the brief history and techniques of breeding and the current status on Cymbidium breeding in Korea. Also, the general propagation process of elite Cymbidium lines via tissue culture should be presented. However, the slow process of conventional breeding and the lack of useful genes in Cymbidium species delays the introduction of new cultivars to the commercial market. To solve these limitations, efficient regeneration and genetic transformation systems should be established in the improvement of Cymbidium breeding program. During the last several decades, some progress has been made in tissue culture and genetic transformation in Cymbidium species. We review the recent status of tissue culture and genetic transformation systems in Cymbidium plants.

유전자 알고리즘을 이용한 흑백 이미지 생성 기법 (Gray Image Generation Methods Using Genetic Algorithm)

  • 차주형;강동성;송무상;권태현;우영운
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2019년도 춘계학술대회
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    • pp.265-267
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    • 2019
  • 이 논문에서는 유전자 알고리즘을 이용하여 기존 이미지와 유사한 흑백 이미지를 자동으로 생성하는 기법을 제안한다. 유전자 알고리즘을 현실 문제에 적용하기 위해 가장 중요한 설계 요소인 유전자 모델링을 어떻게 할 것인지에 대하여 2가지 기법을 제안하였다. 제안한 각 기법을 이용하여 2가지 크기의 흑백 영상으로 실험을 진행하였다. 실험 결과, 이미지 생성을 위한 유전자 모델링에 있어서 각 기법의 진화 성능에 큰 차이가 있음을 확인하였다. 따라서 향후 기존 이미지와 유사한 이미지를 생성하거나, 서로 다른 이미지를 합성한 이미지를 생성하기 위해 빠르고 자연스럽게 학습시키기 위해서는 유전자 모델링을 신중하게 결정해야 함을 파악할 수 있다.

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Analysis of domestic and foreign research trends of Tricholoma matsutake using text mining techniques

  • Choi, Ah Hyeon;Kang, Jun Won
    • 농업과학연구
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    • 제48권3호
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    • pp.505-514
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    • 2021
  • Among non-timber forest products, Tricholoma matsutake is a high value added item. Many countries, including Korea, China, and Japan, are doing research and technology development to increase artificial cultivation and productivity. However, the production of T. matsutake is on the decline due to global warming, abnormal temperatures and pine tree pest problems. Therefore, it is necessary to identify trends in domestic and foreign research on T. matsutake, respond to preemptive research and development to preserve the genetic resources of T. matsutake and increase its productivity. Based on the correlation between keywords in the high frequency keywords, it was observed that microbial clusters of T. matsutake are mainly found in Korea. The main focus in China has been the pharmacology studies on the ingredients of T. matsutake. The main focus in Japan has been on preserving the genetic diversity and species of T. matsutake. Thus, future domestic studies of T. matsutake will require pharmacological studies on the ingredients of T. matsutake and on its genetic diversity and species conservation. In addition, unlike China and Japan, genetic keywords did not appear in Korea at high frequency. Therefore, Korea will have to proceed with research using modern molecular biology techniques.

유전자 알고리즘에 의한 드릴싱 머신의 설계 최적화 연구 (The Optimization of Sizing and Topology Design for Drilling Machine by Genetic Algorithms)

  • 백운태;성활경
    • 한국정밀공학회지
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    • 제14권12호
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    • pp.24-29
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    • 1997
  • Recently, Genetic Algorithm(GA), which is a stochastic direct search strategy that mimics the process of genetic evolution, is widely adapted into a search procedure for structural optimization. Contrast to traditional optimal design techniques which use design sensitivity analysis results, GA is very simple in their algorithms and there is no need of continuity of functions(or functionals) any more in GA. So, they can be easily applicable to wide area of design optimization problems. Also, owing to multi-point search procedure, they have higher porbability of convergence to global optimum compared to traditional techniques which take one-point search method. The methods consist of three genetics opera- tions named selection, crossover and mutation. In this study, a method of finding the omtimum size and topology of drilling machine is proposed by using the GA, For rapid converge to optimum, elitist survival model,roulette wheel selection with limited candidates, and multi-point shuffle cross-over method are adapted. And pseudo object function, which is the combined form of object function and penalty function, is used to include constraints into fitness function. GA shows good results of weight reducing effect and convergency in optimal design of drilling machine.

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Neural and Genetic Basis of Evasion, Approach and Predation

  • Park, Seahyung;Ryoo, Jia;Kim, Daesoo
    • Molecules and Cells
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    • 제45권2호
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    • pp.93-97
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    • 2022
  • Evasion, approach and predation are examples of innate behaviour that are fundamental for the survival of animals. Uniting these behaviours is the assessment of threat, which is required to select between these options. Far from being comprehensive, we give a broad review over recent studies utilising optic techniques that have identified neural circuits and genetic identities underlying these behaviours.

Genetic Algorithm for Identification of Time Delay Systems from Step Responses

  • Shin, Gang-Wook;Song, Young-Joo;Lee, Tae-Bong;Choi, Hong-Kyoo
    • International Journal of Control, Automation, and Systems
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    • 제5권1호
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    • pp.79-85
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    • 2007
  • In this paper, a real-coded genetic algorithm is proposed for identification of time delay systems from step responses. FOPDT(First-Order Plus Dead-Time) and SOPDT(Second-Order Plus Dead-Time) systems, which are the most useful processes in this field, but are difficult for system identification because of a long dead-time problem and a model mismatch problem. Genetic algorithms have been successfully applied to a variety of complex optimization problems where other techniques have often failed. Thus, the modified crossover operator of a real-code genetic algorithm is proposed to effectively search the system parameters. The proposed method, using a real-coding genetic algorithm, shows better performance characteristics when compared to the usual area-based identification method and the directed identification method that uses step responses.

유전 알고리듬을 이용한 무인운반차시스템의 운반경로 결정 (Determination of Guide Path of AGVs Using Genetic Algorithm)

  • 장석화
    • 산업경영시스템학회지
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    • 제26권4호
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    • pp.23-30
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    • 2003
  • This study develops an efficient heuristic which is based on genetic approach for AGVs flow path layout problem. The suggested solution approach uses a algorithm to replace two 0-1 integer programming models and a branch-and-bound search algorithm. Genetic algorithms are a class of heuristic and optimization techniques that imitate the natural selection and evolutionary process. The solution is to determine the flow direction of line in network AGVs. The encoding of the solutions into binary strings is presented, as well as the genetic operators used by the algorithm. Genetic algorithm procedure is suggested, and a simple illustrative example is shown to explain the procedure.

구순구개열 발생의 분자유전학 연구를 위한 유전자 표적/적중 생쥐모델의 이용 (Gene Targeting Mouse Genetic Models for Cleft Lip and Palate)

  • 백진아
    • 대한구순구개열학회지
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    • 제11권2호
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    • pp.65-70
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    • 2008
  • Cleft lip and/or palate are common birth defects in humans and the causes including multiple genetic and environmental factors are complex. Combinations of genetic, biochemical, and embryological approaches in the laboratory mice are used to investigate the molecular mechanisms underlying normal craniofacial development and the congenital craniofacial malformations including cleft lip and/or palate. Both forward and reverse genetic approaches are used. The forward genetic approach involves identification of causative genes and molecular pathways disrupted by uncharacterized mutations that cause craniofacial malformations including cleft lip and/or cleft palate. The reverse genetic approach involves generation and analyses of mice carrying null or conditional mutations using the Cre-loxP mediated gene targeting techniques.

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The genetic structure of taro: a comparison of RAPD and isozyme markers

  • Sharma, Kamal;Mishra, Ajay Kumar;Misra, Raj Shekhar
    • Plant Biotechnology Reports
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    • 제2권3호
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    • pp.191-198
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    • 2008
  • Germplasm characterization and evolutionary process in viable populations are important links between the conservation and utilization of plant genetic resources. Here, an investigation is made, based on molecular and biochemical techniques for assessing and exploiting the genetic variability in germplasm characterization of taro, which would be useful in plant breeding and ex situ conservation of taro plant genetic resources. Geographical differentiation and phylogenetic relationships of Indian taro, Colocasia esculenta (L.) Schott, were analyzed by random amplified polymorphic DNA (RAPD) and isozyme of seven enzyme systems with specific reference to the Muktakeshi accession, which has been to be proved resistant to taro leaf blight caused by P. colocasiae. The significant differentiations in Indian taro cultivars were clearly demonstrated by RAPD and isozyme analysis. RAPD markers showed higher values for genetic differentiation among taro cultivars and lower coefficient of variation than those obtained from isozymes. Genetic differentiation was evident in the taro accessions collected from different regions of India. It appears that when taro cultivation was introduced to a new area, only a small fraction of genetic variability in heterogeneous taro populations was transferred, possibly causing random differentiation among locally adapted taro populations. The selected primers will be useful for future genetic analysis and provide taro breeders with a genetic basis for selection of parents for crop improvement. Polymorphic markers identified in the DNA fingerprinting study will be useful for screening a segregating population, which is being generated in our laboratory aimed at developing a taro genetic linkage map.

지오데식 돔의 설계최적화에서 유전알고리즘과 수학적계획법의 비교연구 (A Comparative Study of Genetic Algorithm and Mathematical Programming Technique applied in Design Optimization of Geodesic Dome)

  • 이상진;이현진
    • 한국공간구조학회:학술대회논문집
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    • 한국공간구조학회 2008년도 춘계 학술발표회 논문집
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    • pp.101-106
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    • 2008
  • 본 연구에서는 서로 상이한 최적화기법인 유전알고리듬과 수학적 프로그래밍기법을 이용하여 지오데식 돔 구조물을 최적화하고 그 결과를 분석하였다. 본 연구에서 도입한 유전알고리즘은 유전연산자인 선택, 교배, 돌연변이 이외에도 재생기법을 도입하여 최적해의 검색성능을 높였다. 그리고 수학적인 프로그래밍기법은 유한차분법을 이용하여 목적함수의 설계민감도를 계산하였으며 세 가지의 다른 검색기법을 이용하여 돔의 크기최적화를 수행하였다. 지오데식 돔의 중앙에 작용하는 집중하중에 저항하는 돔의 각 부재의 크기패턴을 자체 개발된 $ISADO-GA{\alpha}$와 ISADO-OPT를 이용하여 최적 설계하였다. 본 연구를 통하여 제시된 최적결과는 정해가 존재하지 않는 실제 구조물의 최적 값에 대한 유용한 정보를 제공할 뿐만이 아니라 향후 대공간구조의 새로운 구조시스템 개발의 밑거름이 될 것으로 판단된다.

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