본 연구는 식물공장 인공광원이 수경재배 케일의 생육, 수량 및 글루코시놀레이트(GLS) 함량에 미치는 영향을 구명코자 수행하였다. 인공광원으로 LED B:W(1:1, BW), R:B:W(2:1:3, RBW), BW+형광등(1:1+FL, BW+FL) 등 3 처리를 하였다. 수확 엽수와 엽중은 BW+FL이 BW와 RBW보다 우수하였다. 엽장은 BW+FL에서, 엽폭은 RBW 가 우수하여 다른 처리와 통계적인 유의성을 나타냈다. 엽록소 함량과 ‘L’ 값은 처리간에 유의성이 없었으며, ‘a’ 값과 ‘b’ 값은 BW+FL에서 가장 낮았다. GLS 함량은 모든 처리에서 glucobrassicin, glucoiberin, gluconasturtiin, sinigrin, progoitrin, glucoraphamin, epiprogoitrin 순으로 많았으며, 총 GLS 함량은 RBW에서 가장 높았다. 잎의 수분 함량, 조단백질, 조지방 함량, 회분 함량은 처리간에 유의성을 나타내지 않았다. 결론적으로 광은 생육과 2차 대사산물의 합성에 차이가 나타내며, 기능성 향상을 위해 후속 연구가 필요하다고 판단된다.

This study was carried out to investigate the effects of artificial light sources on growth, yield, and glucosinolate content of hydoroponically grown Peucedanum japonicum in plant factory. Treatments were given with LED Blue:White(1:1, B:W), LED Red:Blue:White(2:1:3, RBW), and LED Blue:White(1:1)+Florescent lamp(BW+FL). Number of harvested leaves and leaf weight of BW+FL were higher than BW and RBW. BW+FL in leaf length and RBW in leaf width were significant difference with other treatments. Chlorophyll content and ‘L’ value were not significant difference among the treatments. The ‘a’ and ‘b’ value is the lowest in BW+FL. Glucosinolate content was high in order of glucobrassicin, glucoiberin, sinigrin, gluconasturtiin, progoitrin, glucoraphamin, and epiprogoitrin in all treatments, and total glucosinolate content was the highest in RBW treatment. Moisture, crude protein, crude fat, and ash content of leaves were not different among the treatments. In conclusion, this study showed that light caused growth and secondary metabolites synthesis, and we recommend to further study between light and secondary metabolites for increasing functionality.

서 론
 재료 및 방법
  시험개요
  처리내용 및 재배관리
  생육 조사 및 성분 분석
 결과 및 고찰
  글루코시놀레이트와 조단백질 함량
 적 요
 Literature Cited

• 이광재(충청북도농업기술원 원예연구과, Div. of Horticultural Research, Chungbuk Agricultural Research and Extension Service) | Guang-Jae Lee
• 허정욱(국립농업과학원 생산자동화기계과, Div. of Farming Automation, National Institute of Agricultural Science) | Jeong-Wook Heo
• 정충렬(국립농업과학원 생산자동화기계과, Div. of Farming Automation, National Institute of Agricultural Science) | Chung-Ryul Jung
• 김현환(국립농업과학원 생산자동화기계과, Div. of Farming Automation, National Institute of Agricultural Science) | Hyun-Hwan Kim
• 조정수(전북대학교 원예학과, Dept. of Horticultural Science, Chonbuk National University) | Jung-Su Jo
• 이준구(전북대학교 원예학과, Dept. of Horticultural Science, Chonbuk National University) | Jun-Gu Lee
• 이경자(충청북도농업기술원 원예연구과, Div. of Horticultural Research, Chungbuk Agricultural Research and Extension Service) | Gyeong-Ja Lee
• 남상영(충청북도농업기술원 원예연구과, Div. of Horticultural Research, Chungbuk Agricultural Research and Extension Service) | Sang-Young Nam
• 홍의연(충청북도농업기술원 원예연구과, Div. of Horticultural Research, Chungbuk Agricultural Research and Extension Service) | Eui-Yon Hong