• Journal of Crop Science and Biotechnology
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• 제10권4호
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• pp.243-248
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• 2007

Rice is a facultative short-day plant that flowers in response to reduced day lengths. This study was conducted to identify quantitative trait loci(QTL) for the early heading date(EHD) using H143 line showing extreme EHD compared to other regular cultivars in rice. The japonica H143 was crossed with a japonica cultivar 'Dongjinbyeo' as well as a tongil cultivar 'Milyang23' to measure the inheritance mode of EHD and identify major QTL conferring EHD, respectively. Pooling test revealed that segregation distortion occurred on chromosome 7 and subsequent linkage map was constructed using 10 SSR markers. QTL analysis using Q-gene 3.06 revealed that the EHD trait in H143 was largely controlled by two major QTL, EH7-1 and EH7-2, accounting for more than 40% of genetic variation that were closely related to the previously reported QTL, Hd4 and Hd2, respectively. This result suggests that these two QTL markers may be a useful source for the control of heading date in rice breeding programs.

• Journal of Crop Science and Biotechnology
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• 제11권1호
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• pp.7-12
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• 2008

Quantitative trait loci, a genetic concept for explaining the inheritance of non-Mendelian traits in 1940s, have been realized as particular fragments of chromosome even unique genes in most crops in 21st century. However, only very a small portion of QTL has been screened out by geneticists comparing to a great number of genes underneath the quantitative traits. These identified QTL even have been seldom used into breeding program because crop breeders may not find the QTL in their breeding populations in their field station. Several key points will be proposed to meet the challenges of QTL analysis today: a fine mapping population and the related reference genetic map, QTL evaluation in multiple environments, recognizing real QTL with small genetic effect, map integration.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2021년도 춘계학술대회
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• pp.119-119
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• 2021

• Plant Resources
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• 제3권3호
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• pp.184-193
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• 2000

Soybean [Glycine max (L.) Merr.] seed weight is a important trait in cultivar development. Objective of this study was to identify and confirm quantitative trait loci (QTLs) for seed weight variation in the F2 and F2:3 generations. QTLs for seed weight were identified in F2 and F2:3 generations using interval mapping (MapMaker/QTL) and single-factor analysis of variance (ANOVA). In the F2 plant generation (i.e., F3 seed), three markers, OPL9a, OPM7a, and OPAC12 were significantly (P<0.01) associated with seed weight QTLs. In the F2:3 plant row generation (i.e., F4 seed), five markers, OPA9a, OPG19, OPL9b, OPP11, and Sat_085 were significantly (P<0.01) associated with seed weight QTLs. Two markers, OPL9a and OPL9b were significantly (P<0.05) associated with seed weight QTLs in both generations. Two QTLs on USDA soybean linkage group C1 and R were identified in both F2 and F2:3 generations using interval mapping. The linkage group C1 QTL explained 16% of the variation in seed weight in both generations, and the linkage group R QTL explained 39% and 41% of the variation for F2 and F2:3 generation, respectively. The linkage group C2 QTL identified in F2:3 generation explained 14.9% of variation. Linkage groups C1, C2 and R had previously been identified as harbouring seed size QTLs. The consistency of QTLs across generations and populations indicates that marker-assisted selection is possible in a soybean breeding program.

• Plant Biotechnology Reports
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• 제5권2호
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• pp.135-146
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• 2011

The objective of the present research was to map QTLs associated with agronomic traits such as days from sowing to flowering, plant height, yield and leaf-related traits in a population of recombinant inbred lines (RILs) of sunflower (Helianthus annuus). Two field experiments were conducted with well-irrigated and partially irrigated conditions in randomized complete block design with three replications. A map with 304 AFLP and 191 SSR markers with a mean density of 1 marker per 3.7 cM was used to identify QTLs related to the studied traits. The difference among RILs was significant for all studied traits in both conditions. Three to seven QTLs were found for each studied trait in both conditions. The percentage of phenotypic variance ($R^2$) explained by QTLs ranged from 4 to 49%. Three to six QTLs were found for each yield-related trait in both conditions. The most important QTL for grain yield per plant on linkage group 13 (GYP-P-13-1) under partial-irrigated condition controls 49% of phenotypic variance ($R^2$). The most important QTL for 1,000-grain weight (TGW-P-11-1) was identified on linkage group 11. Favorable alleles for this QTL come from RHA266. The major QTL for days from sowing to flowering (DSF-P-14-1) were observed on linkage group 14 and explained 38% of the phenotypic variance. The positive alleles for this QTL come from RHA266. The major QTL for HD (HD-P-13-1) was also identified on linkage group 13 and explained 37% of the phenotypic variance. Both parents (PAC2 and RHA266) contributed to QTLs controlling leaf-related traits in both conditions. Common QTL for leaf area at flowering (LAF-P-12-1, LAF-W-12-1) was detected in linkage group 12. The results emphasise the importance of the role of linkage groups 2, 10 and 13 for studied traits. Genomic regions on the linkage groups 9 and 12 are specific for QTLs of leaf-related traits in sunflower.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2022년도 추계학술대회
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• pp.281-281
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• 2022

Rice is a staple crop used by more than 50% of the world's population. However, in rapidly changing climates such as abnormal high temperatures and typhoons, the food security of rice is greatly threatened. Plant factories have the advantage of being able to grow crops regardless of climate change, so they can be a response to climate change. However, in plant factories, crops are grown by placing the culture bed vertically, so shorter crops are more efficient. Therefore, in order to search for genes related to the height of rice, QTL analysis was performed by investigating the plant height of Cheongcheong/Nagdong doubled haploids from 2017 to 2021. Plant height of rice investigated for five years showed a normal distribution, meaning that genes related to rice height are quantitative traits. As a result of QTL analysis, a total of 12 QTLs were detected, and QTLs overlapped for 5 years in RM12285-RM212 on chromosome 1. Also, The QTLs of plant height detected in 2019 has a LOD score of 17.64 in RM12285-RM212 region of chromosome 1. As a result of QTL analysis, 44 height-related genes were searched from the detected chromosomes, and among them, Os01g0757200 in RM 12285-RM212 on chromosome 1 region, named OsGA2ox3q1, were selected as genes related to the height of rice. The relative gene expression level of OsGA2ox3q1 was highly expressed in cultivar with short culm lines, and was low expressed in cultivar with long culm lines. OsGA2ox3q1 can be used to breed semi-dwarf cultivar in rice more efficiently.

• 생명과학회지
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• 제25권8호
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• pp.925-931
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• 2015

미립 품질 향상을 위하여 미립 형태를 결정하는 특성을 위한 분자육종기술을 확립하기 위하여 미립과 관련된 양적형질 유전자좌를 탐색하고, 이들 환경요인과 상호작용 효과를 분석한 결과는 다음과 같다. 인디카 품종인 ‘청청’과 자포니카형인 ‘낙동’이 교배된 조합 F₁의 약배양에 의해 양성된 120 계통(DH 집단)과 217개의 DNA 마커를 이용하여 전체 길이가 2,067cM이고, 마커간 평균거리가 9.5cM인 유전자 지도를 작성하였다. 미립형태 관련 유전자좌 분석에서 미립의 외형인 길이, 폭, 두께, 장폭비, 천립중과 관련하여 14개의 QTL이 탐색되었다. 현미의 미립길이 관련 3개의 QTL (qGL2, qGL5, qGL7), 미립 폭 관련 3개의 QTL (qGW2-1, qGW2-2, qGW2-3), 미립 두께 관련 1개의 QTL (qGT2), 장폭비 관련 6개의 QTL (qLWR2-1, qLWR2-2, qLWR2-3, qLWR2-4, qLWR7, qLWR12) 및 천립중 관련 1개의 QTL (qTGW8)이 선발되었다. 미립 장폭비 관련 4개의 QTL은 미립길이와 미립두께에서 동일한 염색체 상에서 확인되었다. 본 연구에서 구명된 QTL 마커들은 쌀 품종개량을 위하여 이용될 수 있을 것이라 판단된다.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2000년도 춘계 학술대회지
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• pp.412-413
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• 2000

• 한국자원식물학회지
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• 제30권2호
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• pp.213-218
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• 2017

본 실험은 청청과 낙동 조합을 약배양하여 육성한 120 계통을 이용하여 이상적인 초형에 관련된 간장, 수장, 개체당 이삭수에 대한 QTLs를 분석하고 탐색된 QTLs은 다음과 같은 결과를 얻었다. 모부본인 청청과 낙동의 간장의 평균은 $75.3{\pm}6.72cm$, 수장의 평균은 $20.6{\pm}2.08cm$이었으며 개체당 이삭수의 평균은 $16.0{\pm}2.37$개로 나타났다. 120 계통의 CNDH의 간장의 평균은 $71.6{\pm}17.38cm$였으며, 수장의 평균은 $20.3{\pm}2.24cm$였으며 개체당 이삭수의 평균은 $16.1{\pm}7.17$개로 나타났다. 이에 대한 CNDH 계통의 빈도분포표의 곡선은 정규분포에 가까운 연속변이를 나타내었다. 간장, 수장, 개체당 이삭수 QTL 분석결과 간장에서 1번 염색체의 qPlL1-1, qPlL1-2, 5번 염색체의 qPlL5, 수장에서 2번 염색체의 qPL2, 3번 염색체의 qPL3, 10번 염색체의 qPL10, 개체당 이삭수에서 1번 염색체의 qPN1-1, qPN1-2, 9번 염색체의 qPN9이 탐색되었다. 간장에 대한 QTL에서 5번 염색체의 LOD 값은 3.81, 상가적 값은 5.49였으며, 수장에 대한 QTL에서 2번 염색체의 LOD 값은 7.13, 상가적 값은 -2.58 이었으며, 3번 염색체의 LOD 값은 3.20, 상가적 값은 0.88로 나타났다. 개체당 이삭수에 대한 QTL에서 9번 염색체의 LOD 값은 4.27, 상가적 값은 -1.60으로 나타났다. 초형 관련 분석 결과에서 탐색된 9개 마커를 토대로 간장에 대한 RM5311, 수장에 대한 RM555, 개체당 이삭수에 대한 RM8111을 선발하여 모부본인 청청, 낙동을 기준으로 자포니카형 22 품종, 인디카형 12 품종에 다형성을 분석하였다. 그림4와 같이 청청과 낙동과 같은 밴드양상을 나타나거나 다른크기상태의 밴드양상을 나타내었다. 간장, 수장, 개체당 이삭수의 일치율은 각각 44.11%, 41.17%, 44.11%로 나타났다.

• 생명과학회지
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• 제17권5호
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• pp.599-605
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• 2007

콩에서 종자의 수와 협의 수가 주된 수량구성요소이다. 그리고 육종의 주된 목표는 수량을 증가시키기 위한 요인들을 선발하는 것이다. 따라서 본 연구의 목적은 큰올콩과 신팔달콩의 $F_{10}$세대의 RIL계통을 이용하여 주당협수와 주당립수 및 협당립수를 조절하는 양적형질유전자좌(QTL)를 확인하는 것이다. 주당협수와 연관된 QTL은 개별 마커들과의 분산분석 결과, 연관군 F와 L에서 2개의 QTL을 탐색하였으며, 주당립수도 연관군 F와 L에서 2개의 QTL을 탐색하였다. 협당립수는 연관군 D1a와 D1b 및 F에서 3개의 QTL을 탐색하였다. 따라서 주당협수와 주당립수와 관련된 QTL 연관군 F와 L에서 공통으로 탐색되었는데, 이는 품종 육성과정에서 이들 형질과 관련한 선발 마커로서 활용 가치가 높은 것으로 판단된다.