Introduction
Tomato (Solanum lycopersicum) is the most produced Solanaceae vegetable in the world, and the productivity of greenhouse-grown tomato plants can be increased by controlling environmental conditions and the number of flower clusters (inflorescences) to ensure a balanced development between vegetative and reproductive growth (
Rajendran et al., 2021). Tomato fruits contain various nutrients, including vitamins C, A, and K, folic acid, potassium, magnesium, and iron. In particular, lycopene is a potent antioxidant that is effective in preventing cardiovascular disease and some cancers (
Martí et al., 2016). These functional components have raised consumer awareness of the importance of tomato crops. Recently, tomatoes in Korea have been mainly grown in greenhouses. Facility cultivation allows for year-round production through environmental control in plastic or glass greenhouses. Greenhouse-grown tomatoes can be produced stably by utilizing supplemental lighting, carbon dioxide (CO
2) enrichment, and temperature and humidity control (
Salokhe et al., 2005). However, the average tomato yield per growing season on Korean farms is 120 kg/m
2, about 51% of the 231 kg/m
2 achieved in the Netherlands. (
Ryu et al., 2024). Therefore, it is necessary to increase productivity in greenhouse tomato cultivation through supplemental lighting and CO
2 enrichment during the low-temperature season. Nonetheless, there is limited research analyzing the productivity of greenhouse-grown tomato plants using either combined or individual treatments of supplemental LED lighting and CO
2 enrichment.
Photosynthesis is the process by which plants use light energy to convert CO
2 and water into sugars and oxygen (
Kim and Lee, 2001). Glucose, which plays a key role in determining the quality of fruit, is very important as assimilation products are accumulated in fruit by electric current (
Moon and Yoo, 2013). The sugars produced during photosynthesis are used as an energy source for plants. However, this process does more than just produce energy; it plays a crucial role in determining overall plant growth, development, and productivity. Plant photosynthesis is affected by morphological factors (e.g., leaf age and area), and environmental factors (e.g., nutrients, light intensity, temperature, humidity, and CO
2 concentration;
Shim et al., 2013). These factors directly affect the rate of photosynthesis, which can be enhanced by appropriately controlling the growth environment. Photosynthetic rate models include regression and physiological models. Regression models can be used to determine light and CO
2 saturation points, providing benchmarks for crop environmental control. Physiological models can be used to analyze the factors that affect photosynthetic rate in response to CO
2 enrichment. The major components of the Farquhar-von Caemmerer-Berry (FvCB) model, a widely used biochemical model of photosynthesis, include the enzyme Rubisco, ribulose- 1,5-bisphosphate (RuBP) regeneration, and 3-phosphoglyceric acid (3-PGA). The enzyme Rubisco is limited by its carboxylation activity, i.e. the maximum rate at which it can fix CO
2, expressed as
Vcmax. RuBP regeneration is the maximum rate of RuBP regeneration during photosynthesis, expressed as
Jmax. 3-PGA is a key intermediate in metabolic pathways, as it is converted into various metabolites. (
Farquhar et al., 1980).
In greenhouses, liquefied CO
2 for food and beverage use without ethylene is used, which effectively increases the CO
2 concentration in a closed environment, increasing the photosynthetic rate of plants and promoting their growth (
Jeong et al., 2022). Plants use CO
2 and water to produce carbohydrates and oxygen through photosynthesis. As CO
2 concentrations increase, carbon assimilation is promoted, which in turn increases plant growth rate and yield (
Lee et al., 2008). Specifically, increasing CO
2 concentration enhances the photosynthetic rate in leaves, leading to greater glucose production. This effect of CO
2 enrichment is especially pronounced in crops grown in closed greenhouse environments, indicating that CO
2 fertilization is even more crucial in low-temperature, semi-closed greenhouse systems. Studies have shown that increasing CO
2 concentration enhances the rate of photosynthesis, leading to significant improvements in plant growth and yield (
Stitt, 1991).
In winter or during cloudy weather, the photosynthetic rate of crops in greenhouses may decline due to limited sunlight. This can be mitigated by supplemental lighting. Among the options available, the use of artificial light for supplemental lighting is one method of increasing the amount of light in enclosed greenhouses (Son et al., 2021). An investigation of the effect of supplemental lighting on plant growth and photosynthesis showed that it increased the growth rate and improved the photosynthetic capacity of leaves (
Park et al., 2015). This indicates that supplemental lighting plays an important role in enhancing plant growth and yield. Supplemental lighting treatment is especially effective for crops grown in greenhouses, offering a valuable way to maximize productivity in environments with limited natural light (
Marcelis et al., 2005). This treatment can enhance the photosynthetic rate of plants, thereby improving both the quantity and quality of tomato fruit. This plays an important role in maximizing production by boosting the photosynthetic rate and is recognized as an effective technology for enhancing crop productivity in greenhouses. Moreover, supplemental lighting can increase the productivity of key vegetables such as tomatoes, sweet bell peppers, and cucumbers, enabling year-round, long-term production (
Dorais, 2003;
Hao and Papadopoulos, 1999).
While CO2 enrichment and supplemental lighting can increase photosynthetic rate and improve productivity in greenhouse-grown tomatoes, there is limited research on the effects of combining these treatments or using them individually to improve productivity. Therefore, by applying the FvCB model using the photosynthetic rate based on CO2 concentration, this study aimed to establish a tomato photosynthesis model and analyze the effects of supplemental lighting and CO2 enrichment on tomato growth and production when supplemental LED lighting was combined with CO2 enrichment by liquefied CO2 in a plastic greenhouse.
Research Methods
Experimental materials and cultivation conditions
This study was conducted in a small plastic greenhouse (4.0 × 3.0 × 3.0 m) with a three-layer polyethylene (PE) film structure, located at the affiliated farm of Mokpo National University in Muan-gun, Jeollanam-do (
Fig. 1A). The experiment took place from February 21 to June 8, 2023, using the "Dafnis" cultivar (Syngenta, Switzerland). The plants used in the experiment were first sown in germination trays with 240 rockwool plugs and then transplanted to coir slabs (110 × 20 × 10 cm, Pelemix, Israel) when 2–3 true leaves had emerged. The nutrient solution was supplied at an EC range of 2.0–3.0 dS · m
−1 and a pH range of 5.5–6.5, depending on the growth stage. For the supply cycle, 100–180 mL of solution was applied for every 80 J · cm
−2 of accumulated solar radiation, depending on the growth stage. In addition, to prevent a rapid drop in temperature at night, an electric heater (SWE-15F, Shinwoo Automatic, Korea) was used and set to activate when the greenhouse temperature dropped to 16°C or below. The ventilation window was set to open and close when the greenhouse temperature reached 26°C or higher, allowing ventilation as the temperature increased. Fertilization was set to stop when the ventilation window opened and closed by 40% or more.
Experimental treatment
To determine the effects of supplemental lighting and CO
2 enrichment on tomatoes in a plastic greenhouse, the experimental treatments were divided into four groups: control without both supplemental lighting and CO
2 enrichment (CON); CO
2 enrichment treatment (CE); supplemental lighting treatment (SL); and combined treatment (CT). CO
2 enrichment, which can increase the photosynthetic rate, used liquefied carbon dioxide for food and beverage use (
Fig. 1B) and was set at 600
μmol-mol
−1. CO
2 enrichment was applied from 6:00 am to 11:00 am, and data were recorded using a CO
2 sensor (Telaire T 7001, Telaire, CA, USA) inside the greenhouse. Supplemental lighting was provided based on the daily accumulated solar radiation. A radiation sensor (SP-215-SS, Apogee Instruments, UT, USA) and a photosynthetic photon flux density (PPFD) sensor (SQ-212, Apogee Instruments, UT, USA) were installed outside the greenhouse, while another PPFD sensor (SQ-212, Apogee Instruments, UT, USA) was used to measure the PPFD inside the greenhouse. Supplemental lighting and CO
2 treatment were initiated 30 days after planting. Supplemental LED lighting was operated from 06:00 to 22:00 and was activated when solar radiation outside the greenhouse decreased to 100 W · m
−2 or less. The light source for the supplemental lighting treatment was a long LED bar (Allix, Korea;
Fig. 1C), which was maintained at an intensity of 100
μmol · m
−2 · s
−1 at a point 1 m vertically above the light source (
Table 1).
Investigation of photosynthetic characteristics of tomato
Photosynthesis of individual tomato leaves was measured using a portable photosynthesis meter (LI-6800, LI-COR, NE, USA). The settings in the chamber of the photosynthesis meter were as follows: flow rate of 600 μmol · mol−1, leaf temperature of 25°C, relative humidity (RH) of 55%, and PPFD of 1,500 μmol · m−2 · s−1. During the measurement of the photosynthetic rate in response to CO2, the CO2 concentration was changed stepwise. The photosynthetic response to CO2 was measured by first reducing the CO2 concentration from 400 μmol · mol−1 to 50 μmol · mol−1 to remove residual CO2 in the mesophyll, followed by a gradual increase to 1,600 μmol · mol−1. For the light response measurements, the CO2 concentration was gradually increased from 0 μmol · mol−1 to 1,500 μmol · mol−1. Using this method, the photosynthetic response was analyzed at each concentration, and the measurements were taken from a single leaf located at the third leaf position, based on the inflorescences.
Equation 1 describes how the photosynthetic rate (
A) increases with CO
2 concentration (I). By estimating the maximum photosynthetic rate (
Amax) and day respiration rate (
Rd), the photosynthetic rate of tomatoes can be predicted based on CO
2 concentrations.
The FvCB model was used to analyze the photo-synthetic rate as a function of CO
2 concentration in the mesophyll. The photosynthetic rate (
Anet, μmol CO
2 · m
−2 · s
−1;
Eq. 2) in the FvCB model was estimated using the maximum reaction rate of the enzyme RuBisCO (
Ac, μmol CO
2 · m
−2 · s
−1;
Eq. 3), the electron transport limitation (
Aj, μmol CO
2 · m
−2 · s
−1;
Eq. 4), and the day respiration rate (
Rd, μmol CO
2 · m
−2 · s
−1).
Ac is expressed as a function of the maximum carboxylation rate (V
cmax, μmol CO
2 · m
−2 · s
−1), while A
j is expressed as a function of the maximum electron transport rate (J
max, μmol CO
2 · m
−2 · s
−1)
Tomato growth survey
To compare tomato growth across different experimental treatments, the first growth survey was conducted 31 days after planting. Subsequent surveys were carried out every two weeks, with 8 plants per treatment. Survey items included plant height, stem diameter, number of leaves, leaf area, fresh weight, dry weight, chlorophyll index, chlorophyll fluorescence, and fruit characteristics. Plant height was measured from the stem base at the soil surface to the growing point, while stem diameter was measured just below the inflorescences using a vernier caliper (DC200-2, CAS, Korea). Leaf number was recorded as the count of fully expanded leaves below the inflorescences. Leaf area was measured using the ImageJ program (v1.8.0, National Institutes of Health, MD, USA). Fresh weight was recorded with an electronic balance (IB-3100, InnoTem, Korea), while dry weight was measured using the same balance after drying the plants in an oven (JSOF-250T, JSR, Korea) at 70°C for 72 hours. Soil Plant Analysis Development (SPAD), a relative chlorophyll content index, was measured using a portable SPAD meter (SPAD-502, Konica Minolta Inc., Japan). The ratio of variable to maximum fluorescence (Fv/Fm) was measured using a portable chlorophyll fluorometer (FluorPen FP 110/D, Photon Systems Instruments, Czech Republic). Yield was estimated by converting the fruit weight and planting density to 10a for plants with fruits per inflorescence.
Data collection and statistical analysis
Environmental data from the greenhouse were collected using a data logger (CR1000X, Campbell Scientific, UT, USA). Graphs were generated with SigmaPlot software (SigmaPlot 14.5, Systat Software Inc., CA, USA), and tomato growth data were analyzed using SPSS statistical software (IBM SPSS Statistics, IBM, USA).