• 제목/요약/키워드: foreground selection

검색결과 13건 처리시간 0.025초

Marker-Assisted Foreground and Background Selection of Near Isogenic Lines for Bacterial Leaf Pustule Resistant Gene in Soybean

  • Kim, Kil-Hyun;Kim, Moon-Young;Van, Kyu-Jung;Moon, Jung-Kyung;Kim, Dong-Hyun;Lee, Suk-Ha
    • Journal of Crop Science and Biotechnology
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    • 제11권4호
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    • pp.263-268
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    • 2008
  • Bacterial leaf pustule (BLP) caused by Xanthomonas axonopodis pv. glycines is a serious disease to make pustule and chlorotic haloes in soybean [Glycine max (L). Merr.]. While inheritance mode and map positions of the BLP resistance gene, rxp are known, no sequence information of the gene was reported. In this study, we made five near isogenic lines (NILs) from separate backcrosses (BCs) of BLP-susceptible Hwangkeumkong $\times$ BLP-resistant SS2-2 (HS) and BLP-susceptible Taekwangkong$\times$ SS2-2 (TS) through foreground and background selection based on the four-stage selection strategy. First, 15 BC individuals were selected through foreground selection using the simple sequence repeat (SSR) markers Satt486 and Satt372 flanking the rxp gene. Among them, 11 BC plants showed the BLP-resistant response. The HS and TS lines chosen in foreground selection were again screened by background selection using 118 and 90 SSR markers across all chromosomes, respectively. Eventually, five individuals showing greater than 90% recurrent parent genome content were selected in both HS and TS lines. These NILs will be a unique biological material to characterize the rxp gene.

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Marker Assisted Development and Characterization of Beta-Carotene Rice

  • Yang, Paul;Song, Mi-Hee;Ha, Sun-Hwa;Kim, Jae-Kwang;Park, Jong-Seok;Ahn, Sang-Nag
    • 한국육종학회지
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    • 제43권5호
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    • pp.360-367
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    • 2011
  • Beta-carotene producing transformants were produced in the background of 'Nagdongbyeo', a Japonica rice cultivar. Introgression of the carotenoid locus in the transformant, PAC4-2 into the elite cultivar 'Ilpumbyeo' was started. To initiate a backcrossing program, we surveyed 220 SSR markers and found that 38% of them were polymorphic between 'Ilpumbyeo' as a recurrent parent and the PAC4-2 as a recipient parent. The selection strategy comprising foreground and background selection was employed. First, foreground selection was practiced in $BC_1$, $BC_2$, and $BC_3$ generations using the transgene specific PCR-based marker in addition to visual scoring of the seed color. Marker-based background selection combined with phenotypic selection was employed from $BC_3F_2$ to $BC_3F_4$ generations. Blast search indicated that the transgene PAC4-2 was located between SSR markers, RM6 and RM482. 240 $BC_3F_3$ and 63 $BC_3F_4$ lines were evaluated for four agronomic traits including days to heading. Most of the lines were similar to Ilpumbyeo in agronomic traits evaluated. The percentage of PAC4-2 genome ranged from 4% to 21% with a mean of 12.5%, which was higher than the expected for an unselected $BC_3$ backcross population. This could be explained by the fact that two genes for beta-carotene and the stripe virus resistance were targeted in this study. We selected 10 representative $BC_3F_5$ lines from 63 $BC_3F_4$ lines based on agronomic traits and carotenoids content. The selection strategy would be appropriate for the introgression of beta-carotene gene in a breeding program.

Saliency Detection based on Global Color Distribution and Active Contour Analysis

  • Hu, Zhengping;Zhang, Zhenbin;Sun, Zhe;Zhao, Shuhuan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권12호
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    • pp.5507-5528
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    • 2016
  • In computer vision, salient object is important to extract the useful information of foreground. With active contour analysis acting as the core in this paper, we propose a bottom-up saliency detection algorithm combining with the Bayesian model and the global color distribution. Under the supports of active contour model, a more accurate foreground can be obtained as a foundation for the Bayesian model and the global color distribution. Furthermore, we establish a contour-based selection mechanism to optimize the global-color distribution, which is an effective revising approach for the Bayesian model as well. To obtain an excellent object contour, we firstly intensify the object region in the source gray-scale image by a seed-based method. The final saliency map can be detected after weighting the color distribution to the Bayesian saliency map, after both of the two components are available. The contribution of this paper is that, comparing the Harris-based convex hull algorithm, the active contour can extract a more accurate and non-convex foreground. Moreover, the global color distribution can solve the saliency-scattered drawback of Bayesian model, by the mutual complementation. According to the detected results, the final saliency maps generated with considering the global color distribution and active contour are much-improved.

The Construction of a Chinese Cabbage Marker-assisted Backcrossing System Using High-throughput Genotyping Technology

  • Kim, Jinhee;Kim, Do-Sun;Lee, Eun Su;Ahn, Yul-Kyun;Chae, Won Byoung;Lee, Soo-Seong
    • 원예과학기술지
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    • 제35권2호
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    • pp.232-242
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    • 2017
  • The goal of marker-assisted backcrossing (MAB) is to significantly reduce the number of breeding generations required by using genome-based molecular markers to select for a particular trait; however, MAB systems have only been developed for a few vegetable crops to date. Among the types of molecular markers, SNPs (single-nucleotide polymorphisms) are primarily used in the analysis of genetic diversity due to their abundance throughout most genomes. To develop a MAB system in Chinese cabbage, a high-throughput (HT) marker system was used, based on a previously developed set of 468 SNP probes (BraMAB1, Brassica Marker Assisted Backcrossing SNP 1). We selected a broad-spectrum TuMV (Turnip mosaic virus) resistance (trs) Chinese cabbage line (SB22) as a donor plant, constructing a $BC_1F_1$ population by crossing it with the TuMV-susceptible 12mo-682-1 elite line. Foreground selection was performed using the previously developed trsSCAR marker. Background selection was performed using 119 SNP markers that showed clear polymorphism between donor and recipient plants. The background genome recovery rate (% recurrent parent genome recovery; RPG) was good, with three of 75 $BC_1F_1$ plants showing a high RPG rate of over 80%. The background genotyping result and the phenotypic similarity between the recurrent parent and $BC_1F_1$ showed a correlation. The plant with the highest RPG recovery rate was backcrossed to construct the $BC_2F_1$ population. Foreground selection and background selection were performed using 169 $BC_2F_1$ plants. This study shows that, using MAB, we can recover over 90% of the background genome in only two generations, highlighting the MAB system using HT markers as a highly efficient Brassica rapa backcross breeding system. This is the first report of the application of a SNP marker set to the background selection of Chinese cabbage using HT SNP genotyping technology.

객체 분할 기법을 이용한 다시점 영상 부호화에서의 예측 모드 선택 기법 (A Mode Selection Algorithm using Scene Segmentation for Multi-view Video Coding)

  • 이서영;신광무;정기동
    • 한국정보과학회논문지:정보통신
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    • 제36권3호
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    • pp.198-203
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    • 2009
  • 최근 멀티미디어 기술의 발달과 더불어 3차원 영상에 대한 연구가 활발하게 이루어지고 있다. 이 중 다시점 영상은 사실감 넘치는 화면을 사용자에게 제공하지만, 대역폭의 급격한 증가는 풀어야 할 주요 문제이다. 본 논문은 부호화 과정의 복잡도와 시간 소요를 줄일 수 있는 빠른 예측모드 결정 알고리즘을 제안한다. 이것은 빠르게 움직이는 전경 객체를 효과적으로 구분할 수 있는 객체 분할을 기반으로 한다. 빠른 움직임을 가진 전경 객체가 시점 방향 예측 모드로 부호화 될 가능성이 더 높기 때문에 움직임 보상 과정을 사전에 제한할 수 있다. 제안한 기법을 적용한 결과, 기존의 부호화 과정과 비교하여 화질의 큰 저하 없이 평균 45% 연산량이 감소하였다.

자기 조직화 기법을 활용한 컬러 영상 배경 영역 추출 (Background Segmentation in Color Image Using Self-Organizing Feature Selection)

  • 신현경
    • 정보처리학회논문지B
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    • 제15B권5호
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    • pp.407-412
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    • 2008
  • 잡음이 심한 배경을 가진 영상 내부의 영역 분할 처리 과정은 해결하기 매우 어려운 문제로 인식되어 왔다. 그에 따라 이 문제를 해결하기 위한 기초적 방법론에 관한 연구 및 주어진 문제에 따라 실제적 적용을 위한 다양한 노력이 있어왔다. 본 논문에서는 영상 분할을 위한 새로운 접근법을 제시하는 것을 목적으로 하였다. 새로운 방법론으로서 기존의 관심 객체 분할의 반대인 배경 영역 분할이라는 새로운 관점을 연구의 중심으로 하였다. 기반 이론으로는 승자 독식 원리의 자기 학습 이론 알고리즘에서 특징 선택을 위한 자기 조직화를 분석하고 이를 문제 해결에 적용하였다. 실제적 영상 데이터를 통한 실험을 통해 배경 영역 분할을 적용한 영상 분할은 효과적으로 수행될 수 있음을 실험 결과로 제시해 보였다.

퍼지 소속 함수를 애용한 개선된 이진화 방법 (Enhanced Binarization Method using Fuzzy Membership Function)

  • 김광백;김영주
    • 한국컴퓨터정보학회논문지
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    • 제10권1호
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    • pp.67-72
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    • 2005
  • 대부분의 이진화 알고리즘은 임계치를 결정하기 위하여 히스토그램을 사용하여 밝기 분포를 분석한다. 배경과 물체의 명도차이가 큰 경우에는 양봉 형태의 히스토그램이 나타나며 최적의 임계치를 찾기 위해 히스토그램 골짜기를 선택하는 것만으로도 양호한 임계치 결과를 얻을 수 있다. 반면에 배경과 물체의 밝기 차이가 크지 않거나 밝기 분포가 양봉 특성을 보이지 않을 때는 히스토그램 분석만으로 적절한 임계치를 얻기 어렵다 본 논문에서는 RGB 컬러 모형의 각 색상에 대하여 퍼지 소속 함수를 적용하고, 그 결과를 이용해 배경에 비해 가독성이 높은 특징들을 배경과 분리하는 방법을 제안한다. 제안된 이진화 방법은 RGB의 각 색상에 퍼지 소속 함수를 적용하여 얻은 값들을 이용해 이진화한다. 기존의 임계치를 이용한 이진화 방법에 비해 잡음 영역을 상당히 제거 할 수 있으며, 운송 컨테이너 영상에 적용한 결과, 기존의 방법에 비해 효율적인 것을 확인하였다.

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공간구문론과 GIS를 이용한 조망점 위치결정 (Locational Decision of the Viewpoint Using GIS and Space Syntax)

  • 최철현;정성관;이우성
    • 한국지리정보학회지
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    • 제14권2호
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    • pp.53-68
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    • 2011
  • 경관평가에 있어서 선행되어져야 할 기본적이면서도 중요한 과정이 바로 조망점의 선정이다. 그러나 현재까지도 조망점의 선정방식은 정확한 지표나 근거없이 평가자의 주관적이고 인위적인 방식에 의해 선정되어 왔다. 따라서 본 연구에서는 GIS와 공간구문론을 이용하여 보다 객관적이고 정량화된 조망점 선정 방식을 제시하고자 하였다. 이를 위해 대구광역시에 위치한 삼덕3주거 개선지구를 대상으로 거리 및 방위에 의해 24개의 섹터로 가시권 범위를 분절하였다. 그 후, 공간구문론의 축선도 분석과 가시빈도 분석을 실시하여 공간적으로 균등하게 분포하는 후보조망점을 선정하였다. 조망점 가치판단지수를 통해 최종적인 조망점을 선정한 결과, 근경인 VP-2 조망점의 VEI값은 112.63, 중경인 VP-10 조망점은 18.31, 원경인 VP-18 조망점은 5.55로 분석되었으며, 모두 국채보상로 상에 위치하고 있었다. 선정된 조망점은 공공기관, 공원, 고밀도 주거공간 등과 같이 인구유동량이 많아 조망기회가 높고, 동시에 경관변화율이 큰 지점인 것으로 확인되었다. 이와 같이 조망점 가치판단지수는 조망점을 정량적으로 선정할 수 있는 객관적인 지표로서 활용될 수 있을 것으로 판단된다.

Development of Fluidigm SNP Type Genotyping Assays for Marker-assisted Breeding of Chili Pepper (Capsicum annuum L.)

  • Kim, Haein;Yoon, Jae Bok;Lee, Jundae
    • 원예과학기술지
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    • 제35권4호
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    • pp.465-479
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    • 2017
  • Chili pepper (Capsicum annuum L.) is an economically important horticultural crop in Korea; however, various diseases, including Phytophthora root rot, anthracnose, powdery mildew, Cucumber mosaic virus (CMV), Pepper mild mottle virus (PMMoV), and Pepper mottle virus (PepMoV), severely affect their productivity and quality. Therefore, pepper varieties with resistance to multiple diseases are highly desired. In this study, we developed 20 SNP type assays for three pepper populations using Fluidigm nanofluidic dynamic arrays. A total of 4,608 data points can be produced with a 192.24 dynamic array consisting of 192 samples and 24 SNP markers. The assays were converted from previously developed sequence-tagged-site (STS) markers and included markers for resistance to Phytophthora root rot (M3-2 and M3-3), anthracnose (CcR9, CA09g12180, CA09g19170, CA12g17210, and CA12g19240), powdery mildew (Ltr4.1-40344, Ltr4.2-56301, and Ltr4.2-585119), bacterial spot (Bs2), CMV (Cmr1-2), PMMoV (L4), and PepMoV (pvr1 and pvr2-123457), as well as for capsaicinoids content (qcap3.1-40134, qcap6.1-299931, qcap6.1-589160, qdhc2.1-1335057, and qdhc2.2-43829). In addition, 11 assays were validated through a comparison with the corresponding data of the STS markers. Furthermore, we successfully applied the assays to commercial $F_1$ cultivars and to our breeding lines. These 20 SNP type assays will be very useful for developing new superior pepper varieties with resistance to multiple diseases and a higher content of capsaicinoids for increased pungency.

A Deep Optical Survey of Young Stars in the Carina Nebula. I. UBVRI Photometric Data and Fundamental Parameters

  • Hyeonoh Hur;Beomdu Lim;Moo-Young Chun
    • 천문학회지
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    • 제56권1호
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    • pp.97-115
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    • 2023
  • We present the deep homogeneous UBV RI photometric data of 135,071 stars down to V ~ 23 mag and I ~ 22 mag toward the Carina Nebula. These stars are cross-matched with those from the previous surveys in the X-ray, near-infrared, and mid-infrared wavelengths as well as the Gaia Early Data Release 3 (EDR3). This master catalog allows us to select reliable members and determine the fundamental parameters distance, size, stellar density of stellar clusters in this star-forming region. We revisit the reddening toward the nebula using the optical and the near-infrared colors of early-type stars. The foreground reddening [E(B-V)fg] is determined to be 0.35 ± 0.02, and it seems to follow the standard reddening law. On the other hand, the total-to-selective extinction ratio of the intracluster medium (RV,cl) decreases from the central region (Trumpler 14 and 16, RV,cl ~ 4.5) to the northern region (Trumpler 15, RV,cl ~ 3.4). It implies that the central region is more dusty than the northern region. We find that the distance modulus of the Carina Nebula to be 11.9 ± 0.3 mag (d = 2.4 ± 0.35 kpc) using a zero-age main-sequence fitting method, which is in good agreement with that derived from the Gaia EDR3 parallaxes. We also present the catalog of 3,331 pre-main-sequence (PMS) members and 14,974 PMS candidates down to V ~ 22 mag based on spectrophotometric properties of young stars at infrared, optical, and X-ray wavelengths. From the spatial distribution of PMS members and PMS candidates, we confirm that the member selection is very reliable down to faint stars. Our data will have a legacy value for follow-up studies with different scientific purposes.