Yeom Moon-Sun, Oh Myung-Min
Division of Animal, Horticultural, and Food Sciences, Chungbuk National University, Cheongju, 28644, Republic of Korea.
Brain Korea 21 Center for Smart GreenBio Convergence and Sustainable Regional Development, Chungbuk National University, Cheongju, 28644, Republic of Korea.
Sci Rep. 2025 Jul 2;15(1):23268. doi: 10.1038/s41598-025-05402-5.
Selecting the optimal light in Controlled Environment Agriculture (CEA) is crucial for crop yield and quality. However, the optimal light conditions can only be identified through extensive testing. This study proposes a methodology for selecting the optimizing light conditions and applies it to a medicinal herb Glehnia littoralis. Using a mixture design and response surface methodology with red (R), green (G), and blue (B) based LEDs, the optimal light spectrum was identified as R:B = 7:5 based on growth parameters (shoot fresh weight, number of leaves, leaf area, and shoot area). Verification experiments showed that R:B = 7:5 enhanced growth through R and B light synergy, while the high proportion of blue light stimulated secondary metabolism, leading to increased biomass and accumulation of medicinally valuable compounds-imperatorin, bergamottin, and coumarin. These findings highlight the potential of using tailored artificial light spectra in CEA to overcome cultivation challenges and optimize yield and quality, contributing to the development of a stable and sustainable scalable production system for high value medicinal plants.
在可控环境农业(CEA)中选择最佳光照对于作物产量和品质至关重要。然而,最佳光照条件只能通过广泛测试来确定。本研究提出了一种选择优化光照条件的方法,并将其应用于药用植物北沙参。使用基于红(R)、绿(G)和蓝(B)的发光二极管的混合设计和响应面方法,基于生长参数(地上部鲜重、叶片数、叶面积和地上部面积)确定最佳光谱为R:B = 7:5。验证实验表明,R:B = 7:5通过红蓝光协同作用促进生长,而高比例蓝光刺激次生代谢,导致生物量增加以及药用价值化合物欧前胡素、佛手柑内酯和香豆素的积累。这些发现凸显了在可控环境农业中使用定制人工光谱来克服种植挑战并优化产量和品质的潜力,有助于为高价值药用植物开发稳定且可持续的可扩展生产系统。