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.
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.
Similar papers in this journal
- Photosynthetic adjustments maintain lettuce growth under dynamically changing lighting in controlled indoor farming setups 95%
- GreenLeafVI: A FIJI plugin for high-throughput analysis of leaf chlorophyll content 95%
- Citrus photosynthesis and morphology acclimate to phloem-affecting huanglongbing disease at the leaf and shoot levels 94%
Similar papers in this journal
- Deciphering transcriptomic signatures explaining the phenotypic plasticity of non-heading lettuce genotypes under artificial light conditions 96%
- Green Index: a widely accessible method to quantify greenness of photosynthetic organisms 95%
- The photoreceptor UVR8 mediates the perception of both UV-B and UV-A wavelengths up to 350 nm of sunlight with responsivity moderated by cryptochromes 94%
Similar papers in this journal
- Raspberry plant stress detection using hyperspectral imaging 94%
- The effect of constitutive root isoprene emission on root phenotype and physiology under control and salt stress conditions 93%
- Phenotypic and transcriptomic analysis reveals early stress responses in transgenic rice expressing Arabidopsis DREB1a 93%
Similar papers in this journal
- Blue Light Sonata: Dynamic variation of red:blue ratio during the photoperiod differentially affects leaf photosynthesis, pigments, and growth in lettuce 97%
- Stem canker caused by Phomopsis spp. induces changes in polyamine levels and chlorophyll fluorescence parameters in pecan leaves 94%
- Lower air humidity reduced both the plant growth and activities of photosystems I and II under prolonged heat stress. 94%
Similar papers in this journal
- Providing an additional electron sink by the introduction of cyanobacterial flavodiirons enhances the growth of Arabidopsis thaliana in varying light 96%
- Isoprenoid biosynthesis regulation in poplars by methylerythritol phosphate and mevalonic acid pathways 94%
- Photoperiodic Flowering Response of Essential Oil, Grain, and Fiber Hemp (Cannabis sativa L.) Cultivars 94%
"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.