• Title/Summary/Keyword: soybean (Glycine max)

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Effects of Low Dose ${\gamma}$ Radiation on the Radiosensitivity of Soybean(Glycine max L.) Plant (저선량 ${\gamma}$선 조사가 대두 식물체의 방사선 감수성에 미치는 영향)

  • Kim, Jae-Sung;Chae, Sung-Ki;Back, Myung-Hwa;Kim, Dong-Hee
    • Korean Journal of Environmental Agriculture
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    • v.19 no.4
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    • pp.324-327
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    • 2000
  • Soybean (Glycine max L. cv. Hwangkeum) seeds were irradiated with the dose of $0{\sim}20$ Gy to investigate the effect of the low dose ${\gamma}-ray$ radiation on the early growth and resistance to subsequent high dose of radiation. Germination rate was not enhanced in the seeds irradiated with low dos ${\gamma}-ray$ but plant height and fresh weight increased in the low dose irradiation group. The optimal radiation dose for the growth increasing was 8 Gy in soybean plant. Growth inhibition of soybean plants by high dose radiation was noticeably reduced by pre-irradiation of low dose radiation, Resistance to subsequent high dose of radiation was effective in 8 Gy and 20 Gy irradiation group.

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Genetic Diversity and Population Structure of Korean Soybean Landrace [Glycine max(L.) Merr.]

  • Cho, Gyu-Taek;Lee, Jeong-Ran;Moon, Jung-Kyung;Yoon, Mun-Sup;Baek, Hyung-Jin;Kang, Jung-Hoon;Kim, Tae-San;Paek, Nam-Chon
    • Journal of Crop Science and Biotechnology
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    • v.11 no.2
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    • pp.83-90
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    • 2008
  • Two hundred and sixty Korean soybean landrace accessions were analyzed for polymorphism at 92 simple sequence repeat(SSR) loci. The 995 identified alleles served as raw data for estimating genetic diversity and population structure. The number of alleles at a locus ranged from three to 27 with a mean of 10.4 alleles per locus. $F_{ST}$ values estimated by analysis of molecular variance(AMOVA) using SSR data set were 0.018, 0.027, and 0.016 for usage, collection site and maturity groups, respectively, indicating little genetic differentiation. The model-based clustering analysis placed the accessions into three clusters(K=3) with 0.0503 of $F_{ST}$, indicating moderate genetic differentiation. Duncan's Multiple Range Test at K = 3 on the basis of 18 quantitative traits revealed that one cluster was mainly differentiated from the other two clusters by seed related traits and the other two clusters were differentiated from each other by biochemical traits. Genetic structure of Korean soybean landraces was differentiated by model-based clustering and supported by their phenotypic traits in part. This preliminary study could be the first step towards more efficient germplasm management and utilization of soybean landraces and helpful in association studies between genotypic and phenotypic traits in Korean soybean landraces.

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Identification of SNPs tightly linked to the QTL for pod shattering in soybean[Glycine max (L.) Merr.]

  • Kim, Kyung-Ryun;Kim, Kyung Hye;Go, Hong Min;Lee, Ju Seok;Moon, Jung-Kyung;Ha, Bo-Keun;Jeong, Soon-Chun;Kim, Namshin;Kang, Sungtaeg
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2017.06a
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    • pp.146-146
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    • 2017
  • The pod shattering or dehiscence is essential for the propagation of pod-bearing plant species in the wild, but it causes significant yield losses during harvest of domesticated crop plants. Identifying novel molecular makers, which are linked to seed-shattering genes, is needed to employ the molecular marker-assisted selection for efficiently developing shattering-resistant soybean varieties. In this study, a genetic linkage map was constructed using 115 recombinant inbred lines (RILs) developed from crosses between the pod shattering susceptible variety, Keunol, and resistant variety, Sinpaldal. A 180 K Axiom(R) SoyaSNPs data and pod shattering data from two environments in 2001 and 2015 were used to identify quantitative trait loci (QTL) for pod shattering. A major QTL was identified between two flanking single nucleotide polymorphism (SNP) markers, AX-90320801 and AX-90306327 on chromosome 16 with 1.3 cM interval, 857 kb of physical range. In sequence, genotype distribution analysis was conducted using extreme phenotype RILs. This could narrow down the QTL down to 153 kb on the physical map and was designated as qPDH1-KS with 6 annotated gene models. All exons within qPDH1-KS were sequenced and the 6 polymorphic SNPs affecting the amino acid sequence were identified. To develop universally available molecular markers, 38 Korean soybean cultivars were investigated by the association study using the 6 identified SNPs. Only two SNPswere strongly associated with the pod shattering. These two identified SNPs will help to identify the pod shattering responsible gene and to develop pod shattering-resistant soybean plants using marker-assisted selection.

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Source-sink Relationships of Soybean as Influenced by Drought Stress during the Pod and Seed-developing Stage

  • Shin Seong-Hyu;Park Keum-Yong;Shin Sang-Ouk;Lim Sea-Gyu;Ha Tae-Joung;Kim Do-Soon
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.51 no.4
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    • pp.310-317
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    • 2006
  • This study was conducted to investigate the influence of drought stress during the pod developing and seed filling stage on source-sink relationships of soybean (Glycine max). Drought treatments were imposed by withholding water at the full-pod stage, 19 days after flowering, and then limited watering was relieved at 15 days after the initiation of drought treatment. Soybean seed yield was reduced by 39% mainly due to decreased pod number under drought stress, but the 100-seed weight was relatively less reduced. In spite of the 15-day drought during the full-pod stage, soybean produced good seeds showing similar l00-seed weight, protein, starch and soluble sugar content to those from the well-watered. Although drought during the full-pod stage caused source limitations; i.e. accelerated leaf senescence and reduced leaf soluble sugars, it did not cause limitations of other source characteristics such as SGR and leaf starch level. This is because the reduction in size of sinks, such as pod and seed abortions compensated for source limitations, resulting in balanced source-sink as expressed by LAR and the ratio of leaf area to seed dry weight. Drought stress during the pod developing and seed filling stage did not disrupt the source-sink balance