• Title/Summary/Keyword: Variation plant

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Stable C and N Isotopes: A Tool to Interpret Interacting Environmental Stresses on Soil and Plant

  • Yun, Seok-In;Ro, Hee-Myong
    • Journal of Applied Biological Chemistry
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    • v.51 no.6
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    • pp.262-271
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    • 2008
  • Natural abundances of stable isotopes of nitrogen and carbon (${\delta}^{15}N$ and ${\delta}^{13}C$) are being widely used to study N and C cycle processes in plant and soil systems. Variations in ${\delta}^{15}N$ of the soil and the plant reflect the potentially variable isotope signature of the external N sources and the isotope fractionation during the N cycle process. $N_2$ fixation and N fertilizer supply the nitrogen, whose ${\delta}^{15}N$ is close to 0%o, whereas the compost as. an organic input generally provides the nitrogen enriched in $^{15}N$ compared to the atmospheric $N_2$. The isotope fractionation during the N cycle process decreases the ${\delta}^{15}N$ of the substrate and increases the ${\delta}^{15}N$ of the product. N transformations such as N mineralization, nitrification, denitrification, assimilation, and the $NH_3$ volatilization have a specific isotope fractionation factor (${\alpha}$) for each N process. Variation in the ${\delta}^{13}C$ of plants reflects the photosynthetic type of plant, which affects the isotope fractionation during photosynthesis. The ${\delta}^{13}C$ of C3 plant is significantly lower than, whereas the ${\delta}^{13}C$ of C4 plant is similar to that of the atmospheric $CO_2$. Variation in the isotope fractionation of carbon and nitrogen can be observed under different environmental conditions. The effect of environmental factors on the stomatal conductance and the carboxylation rate affects the carbon isotope fractionation during photosynthesis. Changes in the environmental factors such as temperature and salt concentration affect the nitrogen isotope fractionation during the N cycle processes; however, the mechanism of variation in the nitrogen isotope fractionation has not been studied as much as that in the carbon isotope fractionation. Isotope fractionation factors of carbon and nitrogen could be the integrated factors for interpreting the effects of the environmental factors on plants and soils.

The genetically healthy terrestrial orchid Liparis krameri on southern Korean Peninsula

  • CHUNG, Mi Yoon;CHUNG, Jae Min;SON, Sungwon;MAO, Kangshan;LOPEZ-PUJOL, Jordi;CHUNG, Myong Gi
    • Korean Journal of Plant Taxonomy
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    • v.49 no.4
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    • pp.324-333
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    • 2019
  • Neutral genetic diversity found in plant species usually leaves an indelible footprint of historical events. Korea's main mountain range (referred to as the Baekdudaegan [BDDG]), is known to have served as a glacial refugium primarily for the boreal and temperate flora of northeastern Asia. In addition, life-history traits (life forms, geographic range, and breeding systems) influence the within- and among-population genetic diversity of seed plant species. For example, selfing species harbor significantly less within-population genetic variation than that of predominantly outcrossers. A previous study of two Liparis species (L. makinoana and L. kumokiri) emphasizes the role of the abovementioned factors shaping the levels of genetic diversity. Liparis makinoana, mainly occurring on the BDDG and self-incompatible, harbors high levels of within-population genetic diversity (expected heterozygosity, HeP = 0.319), whereas there is no allozyme variation (HeP = 0.000) in L. kumokiri, which is self-compatible and mainly occurs in lowland hilly areas. To determine if this trend is also found in other congeners, we sampled five populations of L. krameri from the southern part of the Korean Peninsula and investigated the allozyme-based genetic diversity at 15 putative loci. The somewhat intermediate levels of within-population genetic variation (HeP = 0.145) found in L. krameri are most likely due to its occurrence in mountainous areas that, despite being outside of the main ridge of the BDDG, still served as refugia, and a self-incompatible breeding system. Management strategies are suggested for L. krameri and L. makinoana based on the levels and distribution of genetic diversity and inbreeding.

Determination of Hydrophyte Index of Native Plant on the Downstream Slope of Earth Fill Dam (필댐 하류사면 자생식물의 습생지수 결정)

  • Kim, Hyun Soo;Ryu, Bum Hee;Park, Seung Ki
    • Journal of The Korean Society of Agricultural Engineers
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    • v.61 no.1
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    • pp.131-144
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    • 2019
  • The purpose of study was to determine the hygrophyte index of each plant(HIP) considering the moisture environment condition (MEC) of the native plants on the downstream slope of the fill dam and evaluate its applicability which to develop a method to search for leaks and saturated zones of the fill dam for status evaluation of precision safety diagnosis. The HIP was weighted average and consisted of 19 ranks. The weighted average was calculated according to the following three procedures: First, the linear assumption was made according to the actual habitat environmental conditions, the second one was weighted to 10% of the optimal habitat condition, and finally the average value of the distribution range values. The Hygrophyte index of vegetation at each plot (HIV) was obtained from the Sinheung reservoir (Yesan-gun, Chungcheongnam-do) using the results of vegetation survey of the Sinheung reservoir with precision safety diagnosis and suggested the use of the hygrophyte index of the cultivated vegetation. The average HIP range of plant species that emerged in 50 survey sites on the downstream slope of the Sinheung reservoir is 2.99 to 3.56. The coefficient of variation showed a large difference depending on the appearance of the leakage indicator plant(LIP) species. The range of HIV is 2.80 to 4.26, the mean value is 3.37, standard deviation is 0.37 and the coefficient of variation is 9.7%. As a result, the value of the coefficient of variation showed a large difference depending on the appearance of the plant species.

Comparison of in vitro propagation and occurrence of morphological and genetic variation in strawberry tissue culture with various plant hormone treatments (딸기 조직배양 시 여러가지 식물호르몬 처리에 따른 기내 증식 및 형태적, 유전적 변이 발생 비교)

  • Kim, Hye Jin;Lee, Jong Nam;Choi, Mi Ja;Suh, Jong Taek
    • Journal of Plant Biotechnology
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    • v.46 no.2
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    • pp.106-113
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    • 2019
  • The objective of this study was to carry out treatment of various plant hormones in order to determine morphological and genetic variation degree of tissue-cultured strawberry. The cultivar used in this experiment was 'Goha' and 'Seolhyang', the plant hormones used for experiment were benzyladenine (BA), N-(2-Chloro-4 pyridyl)-N'-phenylurea (CPPU) and thidiazuron (TDZ), and the concentrations were 0.5, 1.0, 2.0, $4.0mg{\cdot}L^{-1}$ with each hormone. The BA treatment of the proliferation efficiency of tissue-cultured strawberry 'Goha' and 'Seolhyang' was the highest. When processing BA, CPPU and TDZ, morphological variation and genetic variation happened in strawberry 'Goha' and 'Seolhyang', especially, the variations appeared highly in CPPU treatment. The genetic variation in 'Goha' appeared at the concentration more than BA $0.5mg{\cdot}L^{-1}$ as 1.1%, appeared at the concentration of CPPU $0.5mg{\cdot}L^{-1}$ as 15.3%, and at the concentration of TDZ $2.0mg{\cdot}L^{-1}$ as 1.2%. The genetic variation in 'Seolhyang' appeared at the concentration of BA $4.0mg{\cdot}L^{-1}$ as 2.3%, and at the concentration of CPPU $0.5mg{\cdot}L^{-1}$ as 14.3%. Therefore, CPPU should not be treated during strawberry tissue culture, and BA and TDZ should be treated at low concentration.

QTL Analysis of Soybean Seed Weight Using RAPD and SSR Markers

  • Chung, Jong-Il;Ko, Mi-Suk;Kang, Jin-Ho
    • Plant Resources
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    • v.3 no.3
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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.

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Genetic Variation in the Selected Populations of Hovenia dulcis var. koreana Nakai. Based on RAPD Analysis

  • Kim Sea-Hyun;Han Jin-Gyu;Chung Hun-Gwan;Cho Yoon-Jin;Park Hyung-Soon
    • Plant Resources
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    • v.8 no.3
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    • pp.293-299
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    • 2005
  • This study used RAPD markers to assume genetic diversity and variation in selected populations of Hovenia dulcis var. koreana. Ratio of polymorphic RAPD markers were 93.4% in selected populations of Hovenia dulcis Thunb., difference of genetic structure among populations and within populations showed 16.45%, 83.55%, respectively in amount of total genetic variation of 4 populations. Total gene diversity($H_T$) that show genetic diversity appeared 0.313 and coefficient of gene differentiation($G_{ST}$) that compare genetic differentiation of populations appeared 0.1645, analysis of AMOVA for variation among populations and within populations was significantly different (P<0.001). Genetic diversity of whole populations showed that 12.44% difference among population and 87.56% difference within populations. As a result, difference within populations was larger than difference among populations in genetic diversity. Nei's genetic distance and cluster analysis appeared that mean genetic distance among populations was 0.076, thus dividing two main groups and geographic relationship did not show in populations.

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