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      산림경제에 수록된 약용생물자원 전통지식에 관한 연구

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      https://www.riss.kr/link?id=T14064811

      • 저자
      • 발행사항

        전주 : 전주대학교 대학원, 2016

      • 학위논문사항

        학위논문(석사) -- 전주대학교 대학원 , 생명자원융합과학과 , 2016. 2

      • 발행연도

        2016

      • 작성언어

        한국어

      • 주제어
      • KDC

        481.634 판사항(5)

      • 발행국(도시)

        전북특별자치도

      • 형태사항

        v, 66 p. : 삽화, 표 ; 26cm

      • 일반주기명

        지도교수:송미장
        참고문헌: p.31-33

      • 소장기관
        • 국립중앙도서관 국립중앙도서관 우편복사 서비스
        • 전주대학교 도서관 소장기관정보
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      부가정보

      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      The purpose of this study is to analyze traditional knowledge of medicinal plants, animals and fungi from the data of collected in Sallimgyeongje (Farm Management, 17-18th century) written by Hong Man-Seon (1643-1715).
      Quantitative analysis were accomplished using informant consensus factor (ICF) and fidelity level (FL).
      A total of 1,085 traditional knowledge collected from Sallimgyeongje were classified into 137 families, 237 genera, and 275 species that included plants, animals, and fungi.
      The representative families were Fabaceae (8.91%) followed by Liliaceae (5.51%), Zingiberaceae (4.41%), and Phasianidae (4.13%). On the whole, 62 kinds of used parts were used. Roots were most frequently used parts, constituting 25.99% of the whole followed by seeds (13.13%), leaves (6.98%), fruits (6.61%), and aerial part (4.13%). The total number of preparation methods for the medicinal materials was thirty-one: decoction (23.05%), juice (18.46%), paste (13.68%), powder (9.92%), and raw (6.80%).
      The informant consensus factor values in the category of diseases were poisonings (0.55), followed by others (0.46) and cut and wounds (0.4). According to fidelity levels, 118 species resulted in fidelity levels of 100%.
      The results suggest that medicinal resource such as plants, animals and fungi expected as new materials of medicine in the development of agriculture biotechnology.

      Keyword : Sallimgyeongje, traditional knowledge, ethnopharmacological resource, informant consensus factor, fidelity level
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      The purpose of this study is to analyze traditional knowledge of medicinal plants, animals and fungi from the data of collected in Sallimgyeongje (Farm Management, 17-18th century) written by Hong Man-Seon (1643-1715). Quantitative analysis were accom...

      The purpose of this study is to analyze traditional knowledge of medicinal plants, animals and fungi from the data of collected in Sallimgyeongje (Farm Management, 17-18th century) written by Hong Man-Seon (1643-1715).
      Quantitative analysis were accomplished using informant consensus factor (ICF) and fidelity level (FL).
      A total of 1,085 traditional knowledge collected from Sallimgyeongje were classified into 137 families, 237 genera, and 275 species that included plants, animals, and fungi.
      The representative families were Fabaceae (8.91%) followed by Liliaceae (5.51%), Zingiberaceae (4.41%), and Phasianidae (4.13%). On the whole, 62 kinds of used parts were used. Roots were most frequently used parts, constituting 25.99% of the whole followed by seeds (13.13%), leaves (6.98%), fruits (6.61%), and aerial part (4.13%). The total number of preparation methods for the medicinal materials was thirty-one: decoction (23.05%), juice (18.46%), paste (13.68%), powder (9.92%), and raw (6.80%).
      The informant consensus factor values in the category of diseases were poisonings (0.55), followed by others (0.46) and cut and wounds (0.4). According to fidelity levels, 118 species resulted in fidelity levels of 100%.
      The results suggest that medicinal resource such as plants, animals and fungi expected as new materials of medicine in the development of agriculture biotechnology.

      Keyword : Sallimgyeongje, traditional knowledge, ethnopharmacological resource, informant consensus factor, fidelity level

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      목차 (Table of Contents)

      • 제 1장 서 론 1
      • 제 2장 조사대상 및 방법 4
      • 2.1. 조사대상의 자료수집 및 조사방법 4
      • 2.2 정량분석 7
      • 제 3장 결 과 8
      • 제 1장 서 론 1
      • 제 2장 조사대상 및 방법 4
      • 2.1. 조사대상의 자료수집 및 조사방법 4
      • 2.2 정량분석 7
      • 제 3장 결 과 8
      • 3.1. 분류군별 특성 8
      • 3.2. 과별 분석 11
      • 3.3. 이용부위별 분석 14
      • 3.4. 질병계별 분석 16
      • 3.5. 질병별 분석 19
      • 3.6. 법제방법별 분석 23
      • 3.7. 이용방법별 분석 26
      • 3.8 정량적 분석 27
      • 3.8.1. Informant consensus factor (ICF) 27
      • 3.8.2. Fidelity Level (FL) 28
      • 제 4장 고 찰 29
      • 제 5장 참고문헌 31
      • 감사의 글 34
      • Appendix 35
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