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Light Quality Affected the Growth and Root Organic Carbon and Autotoxin Secretions of Hydroponic Lettuce.
- Source :
- Plants (2223-7747); Nov2020, Vol. 9 Issue 11, p1542-1542, 1p
- Publication Year :
- 2020
-
Abstract
- Light is a crucial environmental signal and photosynthetic energy for plant growth, development, and primary and secondary metabolism. To explore the effects of light quality on the growth and root exudates of hydroponic lettuce (Lactuca sativa L.), white LED (W, control) and four the mixtures of red (R) and blue (B) LED with different R/B light intensity ratios (R/B = 2, 2R1B; R/B = 3, 3R1B; R/B = 4, 4R1B; and R/B = 8, 8R1B) were designed. The results showed that the biomass of lettuce under 8R1B and W treatments was higher than that under other light quality treatments. The photosynthetic rate (Pn) under red and blue light was significantly higher than that of white light. Total root length, root surface area, and root volume were the highest under 8R1B. 4R1B treatment significant increased root activity by 68.6% compared with W. In addition, total organic carbon (TOC) content, TOC content/shoot dry weight, TOC content/root dry weight, and TOC content/root surface area were the highest under 4R1B. Moreover, 8R1B treatment reduced the concentration of benzoic acid and salicylic acid, and the secretion ability of benzoic acid and salicylic acid by per unit root surface area and accumulation by per unit shoot dry weight. In addition, 2R1B and 3R1B reduced the secretion ability of gallic acid and tannic acid by per unit root surface area and accumulation by per unit shoot dry weight. In conclusion, this study showed that the secretion of autotoxins could be reduced through the mediation of red and blue light composition of LEDs in a plant factory. In terms of autotoxin secretion reduction efficiency and yield performance of lettuce, 8R1B light regime is recommended for practical use. [ABSTRACT FROM AUTHOR]
- Subjects :
- ROOT growth
METABOLISM
SECRETION
TANNINS
SALICYLIC acid
RED
LETTUCE
Subjects
Details
- Language :
- English
- ISSN :
- 22237747
- Volume :
- 9
- Issue :
- 11
- Database :
- Complementary Index
- Journal :
- Plants (2223-7747)
- Publication Type :
- Academic Journal
- Accession number :
- 147369184
- Full Text :
- https://doi.org/10.3390/plants9111542