• Title/Summary/Keyword: Green soybean

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Variation of β-carotene Concentration in Soybean Seed and Sprout

  • Kang, Eun-Young;Kim, Eun-Hye;Chung, Ill-Min;Ahn, Joung-Kuk
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.57 no.4
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    • pp.324-330
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    • 2012
  • In this study, ${\beta}$-carotene concentrations was determined in soybean cultivar according to seed size, usage, seed coat color and cotyledon color as well as the process of seed germination. The total average concentration of ${\beta}$-carotene was $6.6{\mu}g/g$ in soybean seed, $33.3{\mu}g/g$ in soybean sprout. According to seed size, the total ${\beta}$-carotene concentration of soybean was $6.9{\mu}g/g$ in large soybean seed, $6.7{\mu}g/g$ in medium soybean seed, and $6.31{\mu}g/g$ in small soybean seed. In soybean sprout, the total ${\beta}$-carotene concentration was $21.4{\mu}g/g$ in large soybean sprout, $30.5{\mu}g/g$ in medium soybean sprout, and $43.5{\mu}g/g$ in small soybean sprout. According to the utilization of seed, the total ${\beta}$-carotene concentration of soybean seed was $7.2{\mu}g/g$ in cooked with rice soybean seed, $6.1{\mu}g/g$ in paste and curd soybean seed, and $6.3{\mu}g/g$ in sprout soybean seed. In soybean sprout, the total ${\beta}$-carotene concentration was $25.9{\mu}g/g$ in cooked with rice soybean sprout, $32.4{\mu}g/g$ in paste and curd soybean sprout, and $41.9{\mu}g/g$ in sprout soybean sprout. When comparison with seed coat color, the total ${\beta}$-carotene concentration of soybean with brown seed coat ($8.8{\mu}g/g$) was slightly higher than those of soybean with yellow ($6.1{\mu}g/g$). In soybean sprout, the total ${\beta}$-carotene concentration was $21.8{\mu}g/g$ in black seed coat sprout, $38.7{\mu}g/g$ in brown seed coat sprout, $34.1{\mu}g/g$ in green seed coat sprout, $39.5{\mu}g/g$ in yellow seed coat sprout, and $30.5{\mu}g/g$ in mottle seed coat sprout. The results of this study suggested the functional characteristics of soybean through quantitative analysis of ${\beta}$-carotene.

Effect of Mixed Soybeans Materials on Qulity Characteristics of Traditional Soybean Paste(Doenjang) during Aging (혼합콩이 전통된장의 숙성 중 품질에 미치는 영향)

  • Kim, Gwi-Young;Moon, Hye-Kyung;Lee, Su-Won;Moon, Jae-Nam;Yoon, Won-Jung
    • Korean journal of food and cookery science
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    • v.26 no.3
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    • pp.314-322
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    • 2010
  • The effects of five colored soybean (blue, red, yellow, white, and black) varieties on the quality characteristics of soybean paste (Doenjang) were investigated for proximate composition, salt content, pH, color, organic acid content, amino acid content, and mineral content after 80 days of aging. Soybean paste (Doenjang) samples were divided into TDS (traditional Doenjang prepared with soybean) and TDM (traditional Doenjang prepared with mixed soybeans, kidney bean, black soybean, kind of small bean, sword bean, green bean, red bean, at a radio of 1:1:1:1:1(w/w)). Moisture content was 49.66% for TDM and 49.52% for TDM. Protein and salt contents of the TDS sample were higher than those of TDM. The "L" values of the TDB sample increased the aging period was decreased. In contrast, the "L" and "$\alpha$" values of TDM did not show any significant differences. The main organic acids detected were malic acid > lactic acid > tartaric acid in the TDS and TDM samples. Glutamic acid contents were 2.83 g/100 g for the TDS sample and 2.15 g/100 g for the TDM. The levels of K, Mg, and Ca of the TDS sample were higher than those of TDM. No significant difference occurred between TDS and TDM regarding their quality characteristics after 80 days of aging. Further studies needed include sensory evaluation and functionality of soybean paste made from mixed soybean materials.

A New Vegetable Soybean Cultivar, 'Sangwon' with Early Maturity and High Yield (풋콩용 조숙 다수성 신품종 '상원')

  • Ko, Jong-Min;Baek, In-Youl;Han, Won-Young;Kim, Hyun-Tae;Oh, Ki-Won;Shin, Sang-Ouk;Park, Keum-Yong;Ha, Tae-Jung;Shin, Doo-Chull;Chung, Myung-Geun;Kang, Sung-Taek;Yun, Hong-Tae;Oh, Young-Jin;Lee, Jong-Hyung;Son, Chang-Ki;Kim, Yong-Deuk
    • Korean Journal of Breeding Science
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    • v.42 no.6
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    • pp.684-689
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    • 2010
  • 'Sangwon', a new cultivar for vegetable soybean, was developed from the cross between 'Keunolkong' and 'Oshimamidori', and was released at the National Institute of Crop Science (NICS) in 2007. The goal to develop a vegetable soybean cultivar with green pod, early maturity, large seed size, high yield, lodging tolerance, and resistance to disease such as soybean mosaic virus (SMV). 'Sangwon' has light green pod, early maturity, large seed, short plant height, and lodging tolerance. 'Sangwon' has determinate growth habit, white flower, gray pubescence, and oval leaf shape. The matured seeds have a yellow seed coat with light brown hilum, and a yellow cotyledon. 'Sangwon' has 5.8 cm fresh pod length, 13.2mm fresh pod width, 69.5 g seed weight per 100 green seeds, 44.0% green seed protein content, and 14.8% green seed oil content. At the regional yield trials (RYT) for vegetable soybean from 2005 to 2007, 'Sangwon' shows strong resistance to soybean mosaic virus (SMV) and tolerance to lodging in fields. Fresh pods of 'Sangwon' were harvested at the beginning of August. In the same tests, fresh pod of 'Sangwon' (10.39ton/ha) yielded 5% higher than 'Hwaeomputkong' (9.90ton/ha).

Detection of Drought Stress in Soybean Plants using RGB-based Vegetation Indices (RGB 작물 생육지수를 활용한 콩 한발 스트레스 판별기술 평가)

  • Sang, Wan-Gyu;Kim, Jun-Hwan;Baek, Jae-Kyeong;Kwon, Dongwon;Ban, Ho-Young;Cho, Jung-Il;Seo, Myung-Chul
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.23 no.4
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    • pp.340-348
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    • 2021
  • Continuous monitoring of RGB (Red, Green, Blue) vegetation indices is important to apply remote sensing technology for the estimation of crop growth. In this study, we evaluated the performance of eight vegetation indices derived from soybean RGB images with various agronomic parameters under drought stress condition. Drought stress influenced the behavior of various RGB vegetation indices related soybean canopy architecture and leaf color. In particular, reported vegetation indices such as ExGR (Excessive green index minus excess red index), Ipca (Principal Component Analysis Index), NGRDI (Normalized Green Red Difference Index), VARI (Visible Atmospherically Resistance Index), SAVI (Soil Adjusted Vegetation Index) were effective tools in obtaining canopy coverage and leaf chlorophyll content in soybean field. In addition, the RGB vegetation indices related to leaf color responded more sensitively to drought stress than those related to canopy coverage. The PLS-DA (Partial Squares-Discriminant Analysis) results showed that the separation of RGB vegetation indices was distinct by drought stress. The results, yet preliminary, display the potential of applying vegetation indices based on RGB images as a tool for monitoring crop environmental stress.

Seed Characteristics of Black Soybean Collections in Korea (수집재래 검정콩의 종실특성)

  • Kim, Seok-Dong;Kim, Yong-Ho;Hong, Eun-Hi;Park, Eui-Ho
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.38 no.5
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    • pp.437-441
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    • 1993
  • The improvement of superior black soybeans could be accomplished through maintenance and use of black soybean collections. A collection of 965 black soybean lines currently grown by farmers was made in 197 locations on spring, 1991. This study was carried out to evaluate them as useful germplasm. Seed characteristics of black soybean collections were evaluated for black soybean breeding for seed quality. The 100-seeds weight of 929 black soybean genotypes were distributed from 6.9 to 48.1 gram. The maximum and minimum 100-seeds weight were derived from Chungnam and Jeonbuk province, respectively. l00-seeds weight was heavier in middle and late maturity group, as maturity was later, whereas no tendency was shown in early maturity group. Length, width and thickness of the collected black soybean seeds were 9.5$\pm$1.5mm, 7.3$\pm1.3mm and 7.3$\pm1.2mm, respectively. Black soybean collections with yellow seed embryo was 72% and the others were green seed embryo.

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Accumulation of triple recessive alleles for three antinutritional proteins in soybean with black seed coat and green cotyledon

  • Kang, Gyung Young;Choi, Sang Woo;Chae, Won Gi;Chung, Jong Il
    • Journal of Plant Biotechnology
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    • v.47 no.2
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    • pp.118-123
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    • 2020
  • The black seed coat of soybeans contain anthocyanins which promote health. However, mature soybean seeds contain anti-nutritional factors like lipoxygenase, lectin and Kunitz Trypsin Inhibitor (KTI) proteins. Furthermore, these seeds can be used only after the genetic elimination of these proteins. Therefore, the objective of this study was to develop novel soybean genotypes with black seed coat and triple recessive alleles (lx1lx1lx2lx2lx3lx3, titilele) for lipoxygenase, lectin, and KTI proteins. From a cross of parent1 (lx1lx2lx3/lx1lx2lx3, ti/ti, Le/Le) and parent2 (lx1lx2lx3/lx1lx2lx3, Ti/Ti, le/le), 132 F2 seeds were obtained. A 3:1 segregation ratio was observed during F2 seed generation for the inheritance of lectin and KTI proteins. Between a cross of the Le and Ti genes, the observed independent inheritance ratio in the F2 seed generation was 9: 3 : 3 : 1 (69 Le_Ti_: 32 leleTi_: 22 Le_titi: 9 leletiti) (χ2=2.87, P=0.5 - 0.1). From nine F2 seeds with triple recessive alleles (lx1lx1lx2lx2lx3lx3, titilele genotype), one novel strain posessing black seed coat, and free of lipoxygenase, lectin and KTI proteins, was selected. The seed coat color of the new strain was black and the cotyledon color of the mature seed was green. The weight of 100 seeds belonging to the new strain was 35.4 g. This black soybean strain with lx1lx1lx2lx2lx3lx3, titilele genotype is a novel strain free of lipoxygenase, lectin, and KTI proteins.

Study of Soybean Culture and Analysis on the Chemical Composition of Soybean for Making Use of the Mountainous Uncultivated Land (산지유휴지활용을 위한 대두재배 및 성분연구)

  • Chang-Duck Lee;Yoong-Nam Song;Chun-Bae Kim
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.21 no.1
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    • pp.87-91
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    • 1976
  • This study was undertaken to learn the over-all influence of fertilizer on soybean culture and the chemical composition of soybean in the reclaimed land. Treatments included five rates of N.P.K: 4.10.8, compost: 1, 000. N.P.K.: 4.10.8 + compost: 1, 000, N.P.K: 2.5.5 kg/10 are as well as unfertilized plot in the reclaimed land and N.P.K: 4.10.8 kg/10 are as a check plot of the cultivated area. The yield of green plant above-ground, grain yield and protein content were higher in the cultivated plot than in the reclaimed land. Maximum yield of green plant or the greatest grain yield occurred in the plot of N.P.K: 4.10.8+compost: 1, 000 kg application and they diminished as the fertilizer application decreased. Yet there was no statistical significance in the chemical seed composition among treatments.

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Relating Hyperspectral Image Bands and Vegetation Indices to Corn and Soybean Yield

  • Jang Gab-Sue;Sudduth Kenneth A.;Hong Suk-Young;Kitchen Newell R.;Palm Harlan L.
    • Korean Journal of Remote Sensing
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    • v.22 no.3
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    • pp.183-197
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    • 2006
  • Combinations of visible and near-infrared (NIR) bands in an image are widely used for estimating vegetation vigor and productivity. Using this approach to understand within-field grain crop variability could allow pre-harvest estimates of yield, and might enable mapping of yield variations without use of a combine yield monitor. The objective of this study was to estimate within-field variations in crop yield using vegetation indices derived from hyperspectral images. Hyperspectral images were acquired using an aerial sensor on multiple dates during the 2003 and 2004 cropping seasons for corn and soybean fields in central Missouri. Vegetation indices, including intensity normalized red (NR), intensity normalized green (NG), normalized difference vegetation index (NDVI), green NDVI (gNDVI), and soil-adjusted vegetation index (SAVI), were derived from the images using wavelengths from 440 nm to 850 nm, with bands selected using an iterative procedure. Accuracy of yield estimation models based on these vegetation indices was assessed by comparison with combine yield monitor data. In 2003, late-season NG provided the best estimation of both corn $(r^2\;=\;0.632)$ and soybean $(r^2\;=\;0.467)$ yields. Stepwise multiple linear regression using multiple hyperspectral bands was also used to estimate yield, and explained similar amounts of yield variation. Corn yield variability was better modeled than was soybean yield variability. Remote sensing was better able to estimate yields in the 2003 season when crop growth was limited by water availability, especially on drought-prone portions of the fields. In 2004, when timely rains during the growing season provided adequate moisture across entire fields and yield variability was less, remote sensing estimates of yield were much poorer $(r^2<0.3)$.

Relationship of Transformation Efficiency and Metabolites Induced in Korean Soybean Cotyledons Treated with Sonication

  • Song, Kitae;Yim, Won Cheol;Jung, Gun-Ho;Kim, Sun Lim;Kwon, Young-Up;Lee, Byung-Moo
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.58 no.2
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    • pp.119-127
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    • 2013
  • The interaction between Agrobacterium and soybean has been studied at the transcriptome level but not at the metabolic level. However, it is necessary to investigate the difference in metabolites between susceptible and non-susceptible cultivars for high efficiency transformation. We investigated the difference in metabolites from sonicated soybean cotyledons of Korean cultivars and Bert cultivar. To identify difference in metabolites, sonicated extracts were analysed by Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR/MS). The soybean cultivars were classified by susceptibility using green fluorescent protein expression. We found a difference in metabolites between the high susceptible and low susceptible cultivars. The FT-ICR/MS experimental m/z data of different metabolites were compared with theoretical m/z in KNApSAcK database. The candidate list was made using KNApSAcK and focused on phenolic compounds. These candidate metabolites are speculated to influence factors in the interaction. This list of candidates may be useful to investigate the interaction between Agrobacterium and plants to increase transformation efficiency.

Preference evaluation of stink bugs to leguminous seeds by video tracking system (VTS를 이용한 두류종실에 대한 노린재류의 선호성 평가)

  • Bae, Soon-Do;Kim, Hyun-Ju;Yoon, Young-Nam
    • Korean Journal of Agricultural Science
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    • v.39 no.4
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    • pp.483-489
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    • 2012
  • Preference of stink bugs to various leguminous seeds was evaluated by using VTS (Video Tracking System) in laboratory. Major soybean stink bugs such as bean bug, Riptortus pedestris (Fabricius), one-banded stink bug, Piezodorus hybneri (Gmelin), eastern green stink bug, Nezara antennata (Scott), and sole bug, Dolycoris baccarum (L.) were significantly most attracted to Cheongjakong, a soybean variety, baited fish-net trap, followed by soybean varieties Ilpumgeomjeongkong and Taekwangkong, a peanut variety Daekwangdangkong, a kidney bean variety Gangnangkong, and a adzuki bean variety Jungwonpat, respectively in a soybean field. VTS observation in laboratory showed that R. pedestris and D. baccarum had significantly higher frequency of visit on Cheongjakong, followed by Ilpumgeomjeongkong. However, P. hybneri, N. antennata and Halyomorpha halys (Stal) had significantly higher number of visits on Cheongjakong, Seonnogkong and Jinpumkong, followed by Ilpumgeomjeongkong. The sojourned time of stink bugs, however, was significantly longer on Cheongjakong regardless of species of the bugs. Accordingly, Cheongjakong was evaluated as the most preferred soybean seed by fish-net trap and VTS. Thus, VTS is found to be an effective means to evaluate the food preference of stink bugs.