• 제목/요약/키워드: Major crop

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Diaion HP-20 레진을 이용한 천마 추출물의 불쾌취 제거 (Deodorization of Gastrodia elata Blum Extracts using Diaion HP-20 Resin)

  • 장귀영;최재훈;최수지;이승은;서경혜;김동휘;지윤정;정헌상;이윤정
    • 한국약용작물학회지
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    • 제28권1호
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    • pp.29-37
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    • 2020

  • Background: Although Gastrodia elata contains the valuable, bio-active compounds gastrodin and 4-hydroxybenzyl alcohol (4-HBA), it also contain ρ-cresol, which is a major source of an objectionable pig slurry-like odor. Accordingly, this study was performed to determine the deodorization effect of Diaion HP-20 resin on a G. elata extract. Methods and Results: Using Diaion HP-20 with an increasing concentration of ethanol, an extract of G. elata was fractionated into 15 fractions, which were anlayzed to determine their concentrations of active compounds and ρ-cresol. The gastrodin, 4-HBA, total phenolics, and ρ-cresol concentrations of the G. elata extract were 403.13, 408.15, 2,476.09, and 11.77 ㎍/㎖, respectively. Among the different fractions, gastrodin and 4-HBA were detected in fractions 3 to- 6, and 4 to- 10, respectively whereas total phenolics were detected in all samples, with fractions 5 to- 7 being characterized by higher concentrations than were the other fractions. ρ-Cresol was detected in fractions 12 to- 15, at concentrations ranging from 0.39 ㎍/㎖ to 6.05 ㎍/㎖ with the highest concentration detected in fraction 14. The fractions containing ρ-cresol could be selectively separated from the G. elata extract without the loss of major bio-active compounds such as gastrodin and 4-HBA. Conclusions: The results of this study indicate that a deodorizing method using Diaion HP-20 resin can be considered for improving the sensory qualities of G. elata extract without a loss of the major bio-active compounds.

  • https://doi.org/10.7783/KJMCS.2020.28.1.29 인용 PDF KSCI HTML

주산지 기상정보를 활용한 주요 채소작물의 단수 예측 모형 개발 (Development on Crop Yield Forecasting Model for Major Vegetable Crops using Meteorological Information of Main Production Area)

  • 임철희;김강선;이은정;허성봉;김태연;김용석;이우균
    • 한국기후변화학회지
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    • 제7권2호
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    • pp.193-203
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    • 2016

  • The importance of forecasting agricultural production is receiving attention while climate change is accelerating. This study suggested three types of crop yield forecasting model for major vegetable crops by using downscaled meteorological information of main production area on farmland level, which identified as limitation from previous studies. First, this study conducted correlation analysis with seven types of farm level downscaled meteorological informations and reported crop yield of main production area. After, we selected three types of meteorological factors which showed the highest relation with each crop species and regions. Parameters were deducted from meterological factor with high correlation but crop species number was neglected. After, crop yield of each crops was estimated by using the three suggested types of models. Chinese cabbage showed high accuracy in overall, while the accuracy of daikon and onion was quiet revised by neglecting the outlier. Chili and garlic showed differences by region, but Kyungbuk chili and Chungnam, Kyungsang garlic appeared significant accuracy. We also selected key meteorological factor of each crops which has the highest relation with crop yield. If the factor had significant relation with the quantity, it explains better about the variations of key meteorological factor. This study will contribute to establishing the methodology of future studies by estimating the crop yield of different species by using farmland meterological information and relatively simplify multiple linear regression models.

  • https://doi.org/10.15531/KSCCR.2016.7.2.193 인용