Back

High-Precision Lighting for Plants: Laser Diodes Outperform LEDs in Photosynthesis and Plant Growth

Li, L.; SUGITA, R.; YAMAGUCHI, K.; TOGAWA, H.; TERASHIMA, I.; Yamori, W.

2025-02-25 plant biology
10.1101/2025.02.24.640008 bioRxiv
Show abstract

The optimization of plant productivity in indoor horticulture relies heavily on artificial light systems, which serve as the primary light source for plant growth. Although light-emitting diodes (LEDs) have been extensively studied in recent decades, there is limited research on laser diodes (LDs). LDs offer several advantages such as adjustable light wavebands, remote illumination that minimizes heat accumulation near plants, and enhanced energy efficiency. This study investigated the impact of red LD light on plant photosynthesis and growth, exploring its potential applications in indoor horticulture. The research examined the gas exchange of tobacco plants (Nicotiana tabacum L. cv. Wisconsin-38) under six red LED and LD light sources with varying spectral characteristics. Two specific light sources were selected for further study: LED 664 (emission peak at 664 nm, waveband of 625~678 nm) and LD 660 (emission peak at 660 nm, waveband of 657~664 nm) as they demonstrated the greatest gas exchange efficiency among the tested LED and LD light sources. These two light sources were then evaluated for their effects on photochemical efficiency, carbohydrate accumulation and plant growth. The present study showed that compared with LED 664, LD 660 significantly increased Y(II), qL, and starch accumulation in tobacco leaves. Additionally, after 12 d of continuous irradiation with LD 660, both tobacco and Arabidopsis plants exhibited increased photosynthetic capacity, and all three plant species showed increased shoot dry weights and leaf areas compared with those under LED 664. These findings suggest that LDs present significant advantages over LEDs for indoor plant production.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.