研究目的
Investigating how to influence the postharvest quality by controlling the preharvest growth conditions while keeping a high production rate in vertical farming.
研究成果
The research demonstrated that using LEDs to improve postharvest qualities of leafy vegetables may improve considerably the quality but the cultivar and species dependency could be strong. An optimized photosynthetic light recipe enables a high production efficiency and producing of a tasty and nutritious leafy green with a long shelf life. Some attributes (nutrient content, appearances) can be significantly improved using a preharvest continuous-light strategy.
研究不足
The study focused on a limited number of leafy vegetables and cultivars. The effects of light quality on taste were found to be strongly cultivar dependent, indicating that results may not be universally applicable.
1:Experimental Design and Method Selection:
The study used several standard LED lighting recipes (red/blue or red/white either with or without far red) to grow lettuce, baby leaf spinach, rocket and basil in a vertical farm research facility. The standard red white LED light recipe was used as control, while the spectrum was changed with higher blue and/or higher far-red or apply few days of continuous light stimulation just before the harvest (preharvest).
2:Sample Selection and Data Sources:
Seeds of lettuce, basil, spinach, and rocket from various cultivars were sown in rockwool substrate irrigated with a standard nutrient solution.
3:List of Experimental Equipment and Materials:
The climate cells are equipped with different types of LED lamps (Philips Greenpower research modules) of variable spectrum (red, blue, green, far red and white) which are dimmable and colour tunable.
4:Experimental Procedures and Operational Workflow:
Quality at harvest and quality loss during postharvest storage was monitored. The chlorophyll and flavonols content of the leaves were measured using an optical device. Nitrate and vitamin C content were analysed by external laboratories.
5:Data Analysis Methods:
Statistical analyses on nutritional content were executed for each crop individually, where the experimental repeats were collected from a pooled sample.
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