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수확시기에 따른 새싹삼의 부위별 생육 및 Ginsenoside 함량 변화
Growth and Ginsenoside Content in Different Parts of Ginseng Sprouts Depending on Harvest Time 원문보기

韓國藥用作物學會誌 = Korean journal of medicinal crop science, v.26 no.3, 2018년, pp.205 - 213  

장인배 (농촌진흥청 국립원예특작과학원 인삼특작부) ,  유진 (농촌진흥청 국립원예특작과학원 인삼특작부) ,  서수정 (농촌진흥청 국립원예특작과학원 인삼특작부) ,  장인복 (농촌진흥청 국립원예특작과학원 인삼특작부) ,  권기범 (농촌진흥청 국립원예특작과학원 인삼특작부)

Abstract AI-Helper 아이콘AI-Helper

Background: Since the revised Ginseng Industrial Act was passed, ginseng sprouts have become a new medicinal vegetable for which there is high consumer demand. However, the existing amount of research and data on ginseng production has not kept pace with this changed reality. Methods and Results: In...

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AI 본문요약
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제안 방법

  • The assessments consisted of measuring changes in the pH and EC of the filtrate solution after drying the soil with wind and diluting it at 1 : 5 with distilled water and v/v (NIAST, 2012).
  • The chlorophyll contents were measured by averaging the contents after using a portable chlorophyll meter (Konica Minolta, Tokyo, Japan) three times per ginseng and the leaf areas were measured with the WindDIAS image analysis system (ADC, London, England) to minimize the overlapping of the leaves.
  • Therefore, this study analyzed the changing amounts of ginsenosides in growing ginseng sprouts by parts during the period after organic seedlings are planted in nursery soil until eight weeks of cultivation, when the leaves harden.
  • This study analyzed chemical changes in soil composition after automatic applications of FPCE and TW every 4 weeks.
  • This study analyzed the amounts of 10 types of ginsenosides in the cultivated ginseng sprouts after categorizing them into leaves, stems, and roots.

대상 데이터

  • The contents of ginsenosides were measured with the Nexera X2 UPLC system (Shimadzu, Kyoto, Japan) and 10 types of Rb1, Rb2, Rb3, Rc, Rd, Re, Rf, Rg1, Rg2, and Rh1 (ChromaDex, Irvine, CA, USA) were used as standard reagents.

데이터처리

  • The results obtained from this experiment on FPCE and TW treatment plot were analyzed with student’s t-test using the SAS software package (SAS v9.4, SAS Institute Inc., Cary, NC, USA), and the difference was proven to be statistically significant when the p = value was under 0.05.
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참고문헌 (32)

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