Assessing the Growth, Yield, and Biochemical Composition of Greenhouse Cherry Tomatoes with Special Emphasis on the Progressive Growth Report (PGR). | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Assessing the Growth, Yield, and Biochemical Composition of Greenhouse Cherry Tomatoes with Special Emphasis on the Progressive Growth Report (PGR). Adnan Arshad, Elena Maria Drăghici, Ionuț Ovidiu Jerca, Chan Sovorn, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3956190/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 25 Oct, 2024 Read the published version in BMC Plant Biology → Version 1 posted 11 You are reading this latest preprint version Abstract The growth of plants is intricately influenced by interconnected biochemical and physiological activities throughout different phases, in response to environmental conditions. This study exploresthe impact of greenhouse climate on the growth, yield, and biochemistry of winter-grown cherry tomatoes (Cheramy F1). Climatic conditions ranged from a minimum of 10.5°C to the highest of 41.3°C (average 21.22°C) temperature during the vegetative stage and from 8.2°C to 32.3°C (average 20.89 °C) during the fruit-bearing stage, with an average CO2 concentration fluctuated within the range of 385.61 ppm to 510.30 ppm and an average light intensity of 94.62 to 240.45 W/m². W/m². This study assessed various growth parameters, such as plant Height, leaf growth, stem diameter, leaf spacing, leaf count, leaf area, and inflorescence count per plant. The key results of this study revealed the Progressive Growth Report (PGR), predicting daily potential growth. Rates: plant height (2.86 to 3.81 cm/day), mature old leaf growth (0.003988 m2/day), middle younger leaf growth (0.008733 m2/day), top nascent leaf growth (0.010722 m2/day), three to five leaves per week and one inflorescence per week. Additionally, accidental observations were noted. unusual plant growth and yield responses due to varied plant postures in the greenhouse. A non-significant interaction was found between fruit keeping quality (Shelf days), fruit height, fruit diameter, and inflorescence number. The results of this study offer valuable insights for optimizing greenhouse operations, aiming to improve cherry tomato yields and quality while fostering environmental sustainability. An analysis of variance was used to statistically analyze the presented results at a confidence level of p < 0.05. Cherry tomatoes Greenhouse cultivation Progressive growth report Productivity Biochemical composition Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Figure 8 Figure 9 Figure 10 Figure 11 Figure 12 1. Introduction To combat unpredictable climate swings (threats) in the agriculture sector, it’s now paramount for horticulturalists to propose a sustainable environment for the growth of plants. In current times, the role of greenhouse structures in the growth of economically oriented crops is inevitable. To cultivate crops in a sustainable way, knowledge of greenhouse management techniques and optimal growing conditions such as temperature, humidity, and light is highly recommended. Therefore, in the present study, we studied the impact of greenhouse microclimate conditions on the growth, productivity, and nutritional profile of the local cherry tomato cultivar ( Cheramy F1) . The cherry tomato (Solanum lycopersicon var. cerasiforme) , also known as "the most popular vegetable fruit,” belongs to the extremely large night shade plant family, the Solanaceae [ 1 ]. Cherry tomato is renowned for its rich nutritional content, offering essential vitamins (A, C, and K), minerals (potassium, calcium, and phosphorus folate), and antioxidants such as carotenoids (β-carotenoids and lycopene) [ 2 , 3 , 4 ]. Their consumption contributes to a balanced and healthy diet, promoting overall well-being and disease prevention [ 5 ]. Many ailments, especially chronic ones, can be cured with cherry tomatoes. [ 6 ]. Cherry tomatoes are adaptive to multiple growing substrates and environmental conditions, making them a high-demand vegetable throughout the world for many gardeners and growers. [ 7 ]. Tomato is the most important crop, with an annual production of 33. 414 million tons from 3.14 million acres [ 8 ]. There is a wide variety of modern uses for tomatoes, ranging from baking, boiling, and grilling them raw in salads, soups, stews, casseroles, salsa, on sandwiches, and many others [ 9 ]. The term "greenhouse" refers to a covered experimental setup that can offer optimally managed microclimate growth conditions to growing plants and allow growers to extend the growing season. It is not only attributed to structural and mechanical elements but also to climatic and nutritional elements [ 1 ]. Greenhouse technology offers an adaptive approach for the sustainable growth of vegetable plants [ 10 ]. One of the most popular vegetables cultivated in greenhouses around the world is the cherry tomato [ 11 ]. To meet the growing demand, modern farming practices have declared greenhouse cultivation an efficient and sustainable method for cherry tomato production. Tomato plants favor different climatic conditions, from moderate to warm. Adverse greenhouse conditions can damage the growth, biochemical, and physical attributes of plants. Greenhouses provide a controlled environment where temperature, pressure, light, CO2 concentration, and humidity can be regulated to create optimal growing conditions [ 12 ]. The synergistic effects of greenhouse environmental conditions on cherry tomato plant productivity have only been the subject of a very small amount of research. Temperature and carbon dioxide are two crucial climate variables that interact and have an impact on tomato plants [ 13 ]. It has been reported that carbon dioxide levels, in combination with other environmental factors, significantly affect the nutritional quality and concentration of chemical components, total antioxidants, soluble sugar, flavonoids, and soluble solids in various vegetables, including potatoes, tomatoes, and lettuce [ 14 ]. The net photosynthetic rates of plants and, consequently, their growth and yield can be enhanced by elevated CO2 [ 15 ]. Currently, carbon dioxide (CO2) is employed as a gaseous fertilizer because of its capacity to improve plant resilience to the stress of climate change in the cultivation of greenhouse vegetables [ 16 , 17 ]. On the contrary, the concentration of Co2 at the levels of 500 and 700 ppm decreased the concentration of titratable acidity, flavonoids, and phenols [ 18 ]. High temperatures have a significant impact on various physiological and biochemical processes in tomato plants, which ultimately lead to a significant reduction in plant productivity. Enhancing plant productivity within the controlled environment of a greenhouse hinges on the critical capacity to consistently modulate both temperature (T) and relative humidity (RH) in response to diverse indoor and outdoor conditions [ 12 ]. Increases in air temperature directly influence leaf and truss initiation [ 19 ]. The number of fruits per plant, fruit development, and the time duration of fruit set and ripening decreased in response to high temperatures [ 20 , 21 ]. Increasing temperature patterns affect the fruit setting process, which results in low yield production in tomato plants. [ 22 ]. Daylight, as the primary source of light energy for plants, plays a pivotal role in various aspects of their growth and development. It is instrumental in facilitating essential processes such as photosynthesis, plant maturation, flowering and fruit production, nutrient absorption, and photoperiodic responses [ 23 ]. The duration and intensity of daylight have a direct impact on plant physiology, particularly regarding the production of flowering hormones. Plants that receive an optimal amount of light exhibit traits such as robust stems, dense foliage, and an enhanced ability to resist pests and diseases. Crops grown in greenhouses show slow growth with lower quality during long, harsh winters with little exposure to sunlight [ 24 ]. Previously, it was observed that an increased concentration level of light (ambient + 100 µmol m2 s¯¹) and CO2 (900 µmol mol¯¹) could enhance the yield of the tomato crop by 15% [ 25 ]. Likewise, humidity also affects the growth of plants; it increases the photosynthesis rate by lowering water stress and enhancing stomatal conductance. [ 26 ]. It has been reported that high relative humidity enhances the yield of tomato plants grown in greenhouses. [ 27 , 28 ]). A high humidity level in a greenhouse with a low temperature is not favorable for the growth of tomatoes, as it lowers the yield [ 29 ]. Cultivating vegetables within a regulated structure, commonly known as controlled environment agriculture (CEA) or greenhouse farming, offers several advantages, particularly in colder regions of Europe. Greenhouse cultivation allows for precise control over environmental factors such as temperature, humidity, and light. This control can result in optimized growing conditions for various crops, especially tomatoes, leading to increased yield and improved crop quality [ 30 ]. Comprehensive knowledge of greenhouse technology is crucial for optimizing crop production within controlled environments. Extending this idea, current studies attempt to investigate more intricate elements, such as the interaction of various microclimate parameters and their possible impact on the local cherry tomato variety, “ Cheramy F1." The underlying hypothesis of the study was that changes in greenhouse conditions and management practices would have a direct impact on plant growth characteristics, yield, and fruit quality. The underlying hypothesis of the study was that changes in greenhouse conditions and management practices would have a direct impact on plant growth characteristics, yield, and fruit quality. The results might help the growers to estimate the growing time and yield potential of cherry tomatoes and manage their production according to market demands. 2. Materials and Methods 2.1 Experimental Site and Greenhouse Management. The experimental studies were carried out to evaluate the response of cherry toma-toes (Cheramy F1) to greenhouse conditions from September 2022 to April 2023 inside the research Venlo Glass greenhouse (Dutch Standard greenhouses NEN 3859) at the University of Agronomic Sciences and Veterinary Medicine of Bucharest (44.4710° N, 26.0656° E). The greenhouse is a unit of the Research Center for Quality Control of Horticultural Products. The greenhouse framework consisted of hot-dipped galvanized steel, aluminum system profiles for external cladding, and glass as the covering. The installed cultivating gutter height was 5.30 meters above the soil level. The growing compartment has an area of 160.00 m2, while the greenhouse's total covered area is 2.752.00 m2. The greenhouse was also equipped with all the advanced data recording devices, along with lighting, drip irrigation, and ventilation systems. 2.2 Biological material and Procedure. Seeds of Cherry tomatoes (Solanum Lycopersicon var. cerasiforme) cv. “Cheramy F1” were sown to plastic plug trays with 3.5cm deep and 3.5cm wide cells, containing disinfected coco peat growing media (Fig. 1 ). Later, seedlings were transplanted into the perlite pot after 10 days of emergence. The transplanting of 45-day-old seedlings with first inflorescence appeared was carried out on October 30 under controlled conditions in the growing compartment. White cubes containing disinfected hydroponic perlite (2 mm) media as potting material were prepared and placed on coconut slabs in gutters (Figure.1). Nutrient solution was applied in different concentrations at the seedling stage with an EC of 1.5, during the emergence of the 1st and 2nd inflorescences with an EC of 2.3, and between the 5th and 9th inflorescences with an EC of 2.8–3.0 mSiemens with a constant pH of 5.5. Irrigation in both cubes and slabs during the fruiting period was administered 10–12 times per day. The amount of applied nutrient solution was 100–150 ml/Plant. The distance of 30cm between the plants with a density of 3 plants per m² and 1.5 cm between the immoveable benches was maintained. The marketable and unmarketable yields of tomatoes are considerably affected by the interaction effect of inter- and interrow spacing. [ 31 ]. 2.3 Experimental design and Statistical analysis. To carry out biochemical, physical, and growth analysis, we selected three rows as experimental rows, with three random plants selected from each row (denoted as p1, p2, and p3 for Row 1, Row 2, and Row 3, respectively) following the [ 32 ], method. Data regarding all the parameters was recorded at different dates during the extended period between December 2022 and March 2023. To find the average growth rate, the measured data was divided by the number of interval days between each date. The growth parameter graphs were generated using a combination of MS Word and Jamvoi software. Subsequently, an analysis of variance (ANOVA) was conducted, followed by the application of the normality test (Shapiro-Wilk) and the homogeneity of variances test (Levene's) at a confidence level of p < 0.05. 2.4 Accidental observation Accidental discoveries concerning changes in daylight, temperature, and carbon di-oxide concentration are meant to be influences on plant morphology and growing status, most probably the result of uncontrolled differences in greenhouse conditions as the result of dynamic, extreme winter weather conditions. For example, there was a change in plant height, stem diameter, and number of leaves at the end of the greenhouse (which remained exposed to daylight for the maximum time) as compared to the plant in the front. Difference in size, number, and mass of fruits between the plants on the extreme right (eastern side) side of the greenhouse as compared to the middle and left side plants (west-ern side) The only explanation for this that can be offered is the unequal distribution of day length, temperature, and carbon dioxide concentration. Extended photoperiod treatments increased tomato plant yields and shoot fresh weight by 40–57% (P 0.05) and 15–20%, respectively, in comparison to natural light [ 33 ]. The duration of time (number of hours) during which plants from each row were exposed to sunlight was also calculated. The time range of sunrise and sunset and the length of day during the months of January, February, March, and April were recorded in the greenhouse (Table.1). Table 1 The time range of sunrise and sunset during the cultivation period. Month Sunrise (First to last date) Sunset (First to last date) Daylength (First to last date) (Time). January 7:51am to 7:35am 16:46pm to 17:22pm 8:54:29 to 9:47:12 February 7:34am to 6:55 am 17:24pm to 18:01pm 9:49:42 to 11:06:10 March 6:53am to 6:59 am 18:02pm to 19:41pm 11:09:13 to 12:41:43 April 6:57am to 6:08am 19:55pm to 20:18pm 12:44:47 to 14:09:37 2.5 Data Collection 2.5.1 Growth measurements. 2.5.1.1 Plant height: The data collection activity commenced when plants were at the flowering and early fruit setting stages from December to March during two consecutive seasons with different day intervals. The objective was to assess the growth rate of plants during the maturity stage. The height (cm) of the plants was measured from the base of the plants to the terminal growing point of the main stem with the help of measuring tape and reported as the average of three plants for each row. 2.5.1.2 Leaf expansion rate (m²): Three leaves from each plant were marked: older (6th leaf from base), mature young (14th leaf from base), and newborn (26th leaf) marked with blue ribbon to estimate leaf expansion rate after one week. The maximum length, distance from the base of the petiole to the distal end (Ls), and maximum width, farthest distance across the petiole (Lw), of each marked leaf were recorded with a measuring ruler. Ls (cm) × Lw (cm) L m² = L cm² * 0.0001 The results are expressed in meter square (m²). 2.5.1.3 Leaf area: Eight leaves, leaf below each first eight inflorescences of uniform size from each line (24 leaves from 3 lines), were selected for each treatment, spread, and tiled under a scanner (LA2400 Scanner; Regent Instruments for Image Analysis with Software’s). The leaves were scanned (LA2400 Scanner), their images were saved, and using a computer image analysis system, Winfolia Pro 2015 (Regent Instruments), the leaf area was measured. The stem diameter of each plant was measured from the base (close to the insertion point), middle (after half the number of leaves), and top (below the newly emerged inflorescence) with the use of a digital caliper and expressed in mm. 2.5.1.4 Leaf fresh and dry weight: One representative leaf from each row was collected and chopped with scissors to get small pieces. 1 gram (3 repetitions, 3 g) of chopped fresh material was weighed using an analytical weighing balance in weighing bottles. Latterly weighed samples were put into the oven for 24 hours at 105°C with a 50% air flap. 4.5.1.6 stem diameter. The stem diameter of each plant was measured from the base (close to the insertion point), middle (after half the number of leaves), and top (below the newly emerged inflorescence) with the use of a digital caliper and expressed in mm. Dry matter Calculation Formula (%) X = A-Z/A-C×100 DM = 100-X Where : A = weighing bottle and sample weight before drying (g); Z = weighing bottle and sample weight after drying (105° C) (g) C = Empty weighing bottle weight The results are expressed inform of percentage (%). 2.5.2 Productivity and chemical parameters: The total number of inflorescences on each plant was counted, and the productivity performance of each inflorescence was recorded on the basis of the available data for the number of inflorescences, length of inflorescence, number of fruits / inflorescences, average fruit mass / inflorescences, fruit dry matter / inflorescences, fruit height/ inflorescences, and fruit diameter / inflorescences .The performance of each inflorescence has been reported on the basis of the cumulative data available from each row. (Table 3 ). 2.5.2.1 Fruit keeping quality: For every plant, two representative fruits from each inflorescence were put into polythene bags on the day of harvest and kept at room temperature to estimate fruit quality. The number of days tomatoes from each inflorescence survived at room temperature (whenever the fruit's skin softens and crinkles) was counted, and the mean number of days was calculated as described by [ 33 ]. 2.5.2.2 Fruit size and mass of fruit / inflorescence: The fruits harvested from the first twelve inflorescences of each plant were weighed individually on a digital weighing balance. The weighed mass was summed and expressed in yield (g) per inflorescence. The fruit height and diameter of five randomly selected fruits of the first twelve inflorescences was measured using a digital caliper and expressed in millimeters. 2.5.2.3 Fruit firmness ((kg /cm²): A penetrometer (Fruit firmness tester, 600E, Italy) was used to record the data regarding the fruit firmness. Five tomato fruits of equal size and similar physical appearance were taken, and using a peeler, each fruit was peeled off on one side. The pressure was exerted using an 8-mm pistol and expressed in kg /cm²). 2.5.2.4 Fruit fresh and dry matter: 1 g (3 repetitions) of tomato juice extract was measured in a vial using a digital weighing balance. Later on, all the weighed samples were put into an oven at 105°C with a 50% air flap for 24 hours and expressed in percentages. Dry matter Calculation Formula (%) X = A-Z/A-C×100 DM = 100-X Where : A = weighing bottle and sample weight before drying (g); Z = weighing bottle and sample weight after drying (105° C) (g) C = Empty weighing bottle weight The results are expressed inform of percentage (%). 2.5.2.5 Nitrate Contents (mg / kg) and Sugar contents (Brix %) The nitrate content was assessed using the portable tester "The Greenest ECO. The sugars in the fruits from inflorescences 1–6 were directly measured in the greenhouse using a portable refractometer with a Brix scale. 2.5.2.6 Titratable acidity The titratable acidity was assessed by homogenizing the samples (5g) with distilled water and then titrating them with 0.1 N NaOH until they achieved a pH of 8.1. 3. Results Figure 2 displays the average monthly data for greenhouse microclimate parameters, carbon dioxide, sunlight, humidity, and the highest and lowest air temperatures throughout the tomato-growing winter season, extended from October 2022 to March 2023. Microclimatic conditions significantly influence plant development. Variations in greenhouse conditions can significantly influence the photosynthesis process and overall plant health. During the plant's growth phase in October and November, the greenhouse experiences a maximum air temperature of 31.5− 41.3 °C and a minimum air temperature in the range of 8.2−10.5°C with an overall average temperature of 18.98−21.22 °C. During the fruit-bearing and fruit-ripening stages in December and January, the average temperature was recorded in the range of 18.35–20.77 °C. The average carbon dioxide (CO2) concentration and light amount in the growing compartment while plants were in early vegetative growth stages were recorded within the range of 385.61−451.79 parts per million (ppm) and 94.62−240.45 watts per square meter (W/m²), respectively. The average carbon dioxide (CO2) concentration and light amount in the growing compartment, while plants were in the fruit-bearing and fruit-ripening phases were recorded at 437.51−510.30 ppm and 104.13−136.64 W/m², respectively. The availability of optimum ranges of temperature, light, and CO2 is highly recommended for the optimal growth of cherry tomatoes. Tomatoes Plants can grow at their fastest rate within the optimum range of day duration and light intensity [25]. In the present study, plants showed a maximum growth rate at the end of January and March. The available average growing conditions during these months were: temperature, 20.77−25.06°C; CO2 468.29−510.30 ppm. Light: 136.64−155.02 W/m². These results are consistent with previous findings [1, 34]. 2.1 Vegetative growth parameters All the representative plants in each row showed an exceedingly significant interaction ( P<0.001 ) between the total plant growth parameters and the observation dates (Table 2). The graphical representation, labeled Figure 3, illustrates the cumulative plant height per row and the daily growth rate variation. On the 148th day following the transplantation of tomato plants into the greenhouse experimental chamber, the average plant heights in rows 1, 2, and 3 were much higher—4.72 cm per day—at the start of February, when the average temperature inside the greenhouse was 21.32 °C and day length was about 10 h. A sudden decrease in plant growth rate was observed in the middle of February, when the average 10-day temperature was 17.98 °C, CO 2 was 402 ppm, and light intensity was 134 W/m 2 . It might also be the hot outdoor weather conditions that reduced the daytime light exposure. The total number of leaves per plant was significantly different on each observation date. An average of 3 to 5 leaves emerges every week on each plant. The total number of leaves varied in relation to the change in total height of the plant and plant orientation in the greenhouse. Plants in the western section (anterior part) of the greenhouse exhibited low height, and as a result, they appeared with a smaller number of leaves (Figure 5). The progressive rise in the cumulative leaf count exhibited sustained constancy throughout the entire duration of the observation period, persisting until the final day of examination. Leaf area is an important indicator of plant growth and productivity. It has been found that plants with a large leaf area produce more fruit. In the present study, the leaf below each inflorescence was brought under observation. The results showed a direct relationship between productivity and leaf area. The leaf area was significantly different among the observed leaves (P = 0.02). The 3 rd leaf showed the highest leaf area, followed by leaf numbers 8 th and 9 th . The 7 th leaf appeared with the lowest leaf area, followed by the 2nd and 1 st (Figure 4). Leaves in the range of two to four were found between two successive inflorescences. Row 3 plants in the southeastern section of the greenhouse, where the plants received ample exposure to early morning sunlight and generally remained under consistent solar irradiance, exhibited a comparatively shorter stature and a higher leaf count in comparison to other rows' plants. Row 3 plants appeared with the maximum number of total leaves per plant, with an average of 80 leaves per plant, followed by Row 1 and Row 2, which exhibited mean total leaf counts of 76 and 75 leaves per plant, respectively, on the final day of observation. The average distance between the two leaves was low in the case of Row 3 plants (6.5 cm) as compared to Row 1 and Row 2 (8.5 cm and 7.8 cm, respectively). The interstitial spacing between the two nascent upper leaves was greater as compared to the middle-young and older leaves close to the root. (Figure 6). A non-significant (P = 0.626) interaction between the growth rate of mature-older leaves in each row and observation dates was found. While a significant change in the growth rate of middle-young and upper nascent leaves was found ( P<0.00 9, P<0.012, respectively), it was observed that older leaves, which have attained the length of 40 cm, show a slow growth rate as compared to newly emerged upper leaves (10–15 cm) and leaves at intermediate growth stages (15–30 cm). The observed growth rates of the older mature leaf, middle young leaf, and newly emerged upper leaf were recorded as follows: mature leaf: 0.003988 m2/day; middle leaf: 0.008733 m2/day; top newborn leaf: 0.010722 m2/day (Figure 7). An inconsistent change in leaf growth rate on each observation date was observed. Different leaf morphological responses have also been observed throughout the study. Leaves exhibited wilting due to reduced temperatures and diminished light intensity in the months of January and February. Leaves exposed to low temperatures displayed signs of wrinkling and damage to their cuticles. All the plants showed indistinctive stem diameter growth (Table 2). A significant change was observed in the stem diameter of plants at their top, middle, and base sections across various observation dates, with corresponding p-values of P<0.012, P=0.028, and P<0.001, respectively. The measured stem diameter on the top was in the range of 9.32mm to 13.43 mm, while in the middle part and close to the base, it was in the range of 10.48mm to 16.62mm and 5.52 mm to 10.39 mm, respectively 2.2 plants productivity parameters . In the present study, tomato plants showed a distinctive productivity behavior in response to greenhouse conditions (Table 3). The difference among the plants on number of inflorescences, length of inflorescence, number of fruits per inflorescence, average fruit mass per inflorescence, fruit dry matter per inflorescence, fruit height per inflorescence and fruit diameter per inflorescence. was highly significant. A direct influence of greenhouse conditions on inflorescence length, number of fruits, and total mass per inflorescence was observed. High temperature fluctuations during the fruiting setting stages have greatly influenced the yield potential of each inflorescence. Inflorescence, which received an exceedingly optimum temperature, appeared to have maximum yield potential. Table 2. Growth parameters (mean values ± SD) in response to greenhouse conditions in winter-grown cherry tomatoes. Observation Dates Older leaf growth rate (m²) Mature leaf growth rate (m²) Nascent leaf growth rate (m²) Stem diameter growth rate at base (mm) Stem diameter growth rate in middle (mm) Stem diameter growth rate at top (mm) Total height of plant Total number of leaves plants¯¹ 21-12-2022 0.194 ±0.013 0.158 ±0.011 0.051 ±0.011 10.07±0.867 11.46±0.99 5.83±0.328 169.88 ±5.38 32.13±1.52 06-01-2023 0.201 ±0.013 0.166 ±0.011 0.058 ±0.013 10.64±0.637 12.24±0.62 6.58±0.580 210.22 ±8.18 36.11±0.83 13-01-2023 0.207 ±0.016 0.174 ±0.011 0.077 ±0.014 11.06±0.622 12.89±0.94 7.29±0.638 230.77 ±8.52 39.44±0.50 20-01-2023 0.211 ±0.018 0.180 ±0.013 0.088 ±0.013 11.46±0.428 13.45±1.13 7.75±0.401 255.11 ±7.87 42.77±1.07 27-01-2023 0.214 ±0.022 0.184 ±0.014 0.099 ±0.011 11.86±0.378 13.98±1.16 8.20±0.364 279.00 ±7.88 46.44±0.50 03-02-2023 0.224 ±0.023 0.194 ±0.010 0.114 ±0.007 12.48±0.546 14.39±1.13 8.58±0.289 301.55 ±13.03 51.88±1.01 13-02-2023 0.227 ±0.025 0.201±0.006 0.125 ±0.004 12.84±0.405 14.92±1.08 8.90±0.301 325.22± 13.53 56.00±2.60 02-03-2022 0.230 ±0.029 0.209 ±0.008 0.135 ±0.008 13.26±0.541 15.50±1.30 9.36±0.442 381.22 ±29.13 68.11±2.52 27-03-2022 0.231 ±0.029 0.215 ±0.008 0.147 ±0.006 12.85±0.552 15.84±1.00 9.86±0.512 454.88 ±29.94 77.00±2.64 F 0.793 6.748 22.493 6.053 4.458 19.879 78.638 131.875 P 0.626 0.009 <.001 0.012 0.028 <.001 <.001 <.001 P < 0.05…*, 0.01…**, 0.001…*** ns = non-Significance level. A non-significant difference was observed between total fruit mass per inflorescence and average fruit mass per inflorescence (Table 3). In terms of productivity parameters, there was also a great difference between and among the plants in each row (Figure 8). The experimental results showed a non-significant difference among the plants in each row in terms of the total number of inflorescences per plant. On average, each plant produced one inflorescence in a week. Each plant produced 20 to 22 total inflorescences during its 4-month lifespan. A direct relationship was found between the height of the plant and the total number of inflorescences. The plants with maximum height appeared to have a greater number of inflorescences as compared to other low-height plants. The inflorescence length significantly varied ( P<0.001 ) as the order of inflorescence changed on each plant. Inflorescence number 6 appeared with a maximum average length of 47.54 cm, followed by inflorescence numbers 5 and 7 (46.54 cm, 45.23 cm, respectively). Inflorescence numbers 1 and 2 showed minimum growth, with an average of 19.89 cm and 25.35 cm in all three rows on the last observation day (Figure 9). The number of fruits also significantly differed from inflorescence to inflorescence ( P<0.001 ). Inflorescence number 4 produced the maximum number of fruits, followed by inflorescence numbers 5 and 9, respectively, of all plants ‘rows (Table 3). The lowest number of fruits produced was inflorescence number 2, followed by inflorescence numbers 1 and 7, respectively. The total fruit mass was not significantly different among the inflorescences of each plant's rows (P = 0.296). Inflorescence number 10 had the largest total fruit mass (243 g), followed by inflorescence numbers 6 and 3 (240.27 g and 235.41 g, respectively). Interestingly, the inflorescence with the highest number of fruits (number 4) did not appear with the highest total fruit mass (g); the possible reason behind this was the mass of individual fruit on each truss (Figure 10). Inflorescence number 2 appeared with the highest average fruit mass (14.40 g), followed by Inflorescence number 1 and Inflorescence number 3 (12.54g, 12.86g). In the present findings, a direct relationship was observed between the fruit attachment order on each truss and fruit mass. On most of the trusses, the first five fruits were large and high in mass and diameter. Fruits in the middle of each inflorescence were mostly medium-sized and had a low diameter and mass. The fruits of each inflorescence were not significantly different from each other in view of their diameter ( P = 0.322 ). Inflorescence number 2 appeared with the highest fruit diameter (30.23 mm), followed by Inflorescence number 1 and Inflorescence number 3 (28.37 mm and 28.87 mm, respectively). The increase in the size of fruits in terms of their length and size can be attributed to the cooperative influence of phosphorus, potassium, and water. These elements aid in the production of auxins, which play a pivotal role in elongating cells by enhancing their ability to absorb water and osmotic solutes. Table 3. Productivity parameters (mean values ± SD) in response to greenhouse conditions in winter-grown cherry tomatoes. Inflorescence number. Inflorescence Length. (cm) Number of fruits. Total Fruit mass (g) Average fruit mass(g) Fruit Dry matter (%) Fruit diameter (mm) Shelf days 1 19.90±0.55 13.00±0.66 181.46±20.06 12.54±1.39 3.16±0.08 28.97±1.8868 14.00±2.00 2 25.36±1.72 13.00±0.57 183.84±37.80 14.40±2.43 3.69±0.61 30.23±1.2818 14.00±1.00 3 35.54±5.43 17.44±1.83 235.41±56.50 12.86±2.81 7.78±0.16 28.87±2.7486 13.67±2.08 4 38.83±2.83 34.67±4.48 161.63±37.02 11.08±2.39 10.31±3.88 28.74±1.7164 16.67±1.15 5 46.56±7.00 31.22±2.21 178.17±47.30 11.83±1.81 13.89±4.24 27.30±0.7007 21.67±1.52 6 47.54±6.13 26.00±2.81 240.27±36.76 9.79±0.85 11.49±3.44 28.35±0.6140 17.67±0.57 7 45.23±6.65 14.33±0.66 226.80±19.27 9.71±1.10 11.83±0.9 28.47±2.0001 19.67±1.15 8 36.17±5.08 18.22±6.25 213.19±11.75 9.95± 0.71 9.85±0.791 26.82±1.2453 16.33±1.15 9 32.33±5.57 28.78±9.91 220.76±10.83 10.26±0.36 10.18±0.8 26.57±1.6044 16.32±2.08 10 27.67±3.14 27.00±1.33 243.22±81.81 11.72±3.43 9.47±0.304 26.87±1.9358 15.00±1.00 F 22.700 36.078 1.479 1.604 210.726 1.401 0.998 p <.001 <.001 0.296 0.260 <.001 0.322 0.475 P < 0.05…*, 0.01…**, 0.001…*** ns = non-Significance level 2.3 Nutritional composition of tomato fruit. One of the key measures of tomato fruit quality and its suitability for various applications is referred to as dry matter content. The dry matter content of tomato fruit is a crucial quality trait with significant implications for its market value. This attribute primarily refers to the proportion of solid material in the fruit, excluding water content. Present findings found a significant difference in dry matter contents for each inflorescence (Table 3). An inverse relationship has also been investigated between average fruit mass and fruit dry matter (%). Inflorescences with the highest average fruit mass, Inflorescence number 2, followed by 1 and 3, were low in dry matter content (3.16-3.69%). The dry matter contents were high in the case of inflorescence number 5 (13.89%), followed by inflorescence numbers 7 and 6 (11.83% and 11.49%, respectively). In view of shelf days, a non-significant relationship ( p = 0.475 ) was found among the fruits of each inflorescence (Table 3). The 5th inflorescence's fruits (22 days), followed by the 7th and 6 th (20 days and 18 days, respectively), survived the maximum number of days at room temperature (Figure 11). In the present study, we found a direct relationship between fruit dry matter contents and the number of fruit-keeping days (Figure 12). Inflorescent fruits with high dry matter content survived a higher number of days in their intact form at room temperature. Fruits containing a significant amount of dry matter exhibit favorable attributes, including enhanced flavor, increased efficiency in processing, improved resilience during transportation, and extended shelf life in storage. In the present study, we found a high brix (%) in inflorescence number 8 (8.85%), followed by inflorescence numbers 7 and 5 (8.22%, 8.10%), respectively (Table 4). Most of the solid substances in tomato fruits consist of carbohydrates, with the primary ones being sugars that can dissolve in water. Our result on the dry matter contents found a direct relationship between carbohydrate contents and dry matter contents. The contents of various sugars found in cultivated tomatoes are mainly influenced by both genetic traits and the environmental factors under which they are grown. The titratable acidity in the fruits of cultivated cherry tomatoes varies significantly from inflorescence to inflorescence ( P = 0.008 ). The titratable acidity contents were high in inflorescence number 3 fruits (15.81%), followed by inflorescence numbers 6 and 5 fruits (15.64% and 15.63%, respectively). A low titratable acidity value was observed in inflorescence number 1 (12.76%), followed by inflorescence numbers 10 and 7 (13.21% and 13.73%), respectively. One important measure of tomato quality is firmness, which has a considerable impact. The tomato fruit's maturity process has a direct impact on the content and hardness of its cell wall polysaccharides. The fruit firmness of each inflorescence's fruits was also significantly different in comparison to each other. Inflorescence number 9 fruits appeared with high fruit firmness (7.57 kg/cm), followed by inflorescence numbers 7 and 6 (7.21 kg/cm and 7.15 kg/cm, respectively). Inflorescence number 4 appeared with the lowest fruit firmness (5.40 kg/cm). In view of their importance as a pollutant and a key biochemical element for human health and the environment, nitrate and nitrites are highly investigated food chemical components. Given their significance as environmental pollutants and essential biochemical elements for both human health and the ecosystem, nitrate and nitrite have been the subject of extensive scientific research in the field of food chemistry. The nitrate concentration in cherry tomatoes is a reliable source for finding the nutritional profile. In the present study, inflorescence number 6 fruits were found to be enriched with nitrate contents (8.85 mg/kg), followed by inflorescence numbers 5 and 3 (8.07 mg/kg and 8.03). Fruit nitrate contents were not significantly different among the inflorescences ( P = 0.228 ). Table 4. Fruit nutritional contents (mean values ± SD) in response to greenhouse conditions of winter grown cherry tomatoes. Inflorescence number. Brix (%) Nitrate contents. (mg/kg) Fruit acidity Fruit Firmness ( kg /cm² ) Leaf Area (cm²) 1 7.21±0.2536 136.67±5.77 12.76±0.399 6.43±0.38 7183±16 2 7.50±0.7708 125.00±5.00 14.12±0.51 5.68±0.86 7013±12 3 6.91±0.2143 135.00±8.66 15.81±0.59 5.93±0.50 10477±13 4 7.15±0.3585 131.67±7.63 13.77±1.50 5.40±0.28 8851±79 5 8.07±0.8730 133.33±5.77 15.63±0.60 5.76±0.66 7541±43 6 8.85±1.0671 145.00±5.00 15.64±0.81 7.15±0.55 9287±11 7 8.22±1.0607 124.00±5.29 13.73±0.40 7.21±0.16 6294±52 8 7.79±1.0829 125.00±5.00 14.73±2.54 6.62±0.14 9423±77 9 7.70±0.8812 133.33±5.77 15.19±1.09 7.57±0.26 8953±64 10 8.03±0.6467 150.67±5.03 13.21±1.49 6.23±0.30 7389±76 F 5.276 1.724 6.360 10.039 4.382 P 0.014 0.228 0.008 0.002 0.024 P < 0.05…*, 0.01…**, 0.001…*** ns = non-Significance level. 4. Discussion There are numerous constraints associated with the growth of economically oriented plants in greenhouses. Each plant variety requires different greenhouse conditions at different developmental stages. The growth and development of different crops in greenhouses are directly influenced by the duration of the growing season and the range of environmental conditions. Short-term light exposure in winter affects the growth and biochemical parameters of plants [ 35 , 36 ]. The duration of the winter season, the availability of enough quantities of light, CO2, and temperature directly affect the growth and development of different crops in greenhouses." In our accidental observation, we observed that plants exhibited varied responses in terms of growth and yield parameters based on their different growing positions and postures in greenhouse. The present study evaluated that the time a plant remained exposed to sunlight mainly influenced the growth rate of tomato plants in greenhouses. Greenhouse growers commonly employ photoperiods ranging from 14 to 17 hours for various vegetables. According to a study, differences in plant height and other growth parameters are the result of an unequal distribution of temperature and light [ 37 ]. Each plant has an optimum range of day length, light intensity, and light wavelength at which they show maximum growth rate. Beyond this optimal range, the rate of photosynthesis may plateau or decline because the plant cannot effectively utilize the additional light. [ 38 ]. Extended day length and low light intensity can positively affect the growth rate of tomato plants in glasshouses. [ 39 ]. In the current study, we observe similar pattern, tomato plant growth rate was much higher at the start of February and March (4.72 and 4.60(cm/day, respectively) when the day length was about 10 h and 11hrespectively, and light intensity was 296.38 (W/m²) and 258.13 (W/m²) respectively. The temperature inside the greenhouse was 21.32 ºC and 25.07 ºC, respectively. These findings are in line with earlier research by Suyanto [ 40 ], which showed that tomato plants grow more quickly (1.11 cm/day) under 680 nm light than they do under lower wavelength light (480, 550, and 650 nm) at the germination stage. A study reported that the height of tomato plants appears significantly higher under 14-hour photoperiod treatment during the months of the spring season [ 41 ]. A source declared that a temperature range of 18.1 to 32.2°C is the optimum air temperature value for the growth of tomatoes in a growing season [ 42 ]. In the winter season, short-term light exposure has an impact on a plant's metabolic processes and growth. A study correlated plant height with high productivity and better biomass calculations [ 43 ]. According to a research report, the temperature inside a greenhouse without an environment controller exceeds 20–30°C as compared to the outside temperature [ 44 ]. Similar results have been found in our research-based investigation. The same source reported that temperatures above 26°C may reduce plant growth and suggested that temperatures inside greenhouses should not exceed 30–35°C. The recorded average temperature during the winter season was in the range of 23.85°C to 32.37°C. Consistent with the present results, a study reported plant heights of 198.33 cm and 172.33 cm, respectively, in two cherry tomatoes [ 45 ]. We found the increase in the total number of leaves remained constant until the last day of observation. A research report addressed an average increase of 3 to 5 leaves per week while evaluating the relation between leaf area and tomato plant vegetative growth [ 46 ]. Three to four leaves were found between two consecutive inflorescences. Carbon dioxide and light are key reactants in the process of photosynthesis; they play a crucial role in the growth process. An increased amount of CO2 significantly influenced the height and number of leaves in tomato plants [ 18 ]. The number of leaves a plant has determines how effectively it can use sunlight for photosynthesis, which helps the plant increase its productivity and grow efficiently [ 47 ]. Discussing the growth rate of juvenile and adults’ leaves [ 48 ], we declared the difference in rate of photosynthesis as the driving force that caused the variation in growth rate. The source mentioned a high photosynthesis rate in adult leaves as compared to old leaves. According to a study, the photosynthesis rate is modest in very young leaves; it increases to its maximum as leaves grow to full size and drops as leaves get older [ 49 ]. Most plants also stop sending nutrients and water to the bottom leaves as new leaves emerge on top. Different biochemical processes that are mainly responsible for the vegetative growth of plants are dependent on the available concentration of CO2, the intensity of light, and the amount of heat energy. The change in greenhouse conditions directly influences the morphological appearance of plants. In the present study, an inconsistent change in leaf growth rate on each observation date was observed. Greenhouse technology is now in high demand to meet the demand for food around the world. In the present study, tomato varieties showed distinctive productivity behavior in response to greenhouse conditions. It has been reported that elevated concentrations of CO2 combined with high temperature treatment significantly affect the fruit quality, number of fruits and flowers, size and weight of fruits, and yield of fruits of tomato plants [ 50 ]. In our current investigation, we found a direct relationship between the height of the plant and the total number of inflorescences. The plants with maximum height appeared to have a greater number of inflorescences as compared to other low-height plants. Similar to the present findings, [ 19 ] reported the rate of truss initiation at approximately one truss per week at an average daytime temperature of 20 ºC. According to [ 20 ], it is the high temperatures that lead to the early initiation of truss along with an increase in fruit volume and size. Temperature also directly influences the number of inflorescences. In the context of the transpiration process, the availability of high-quality water assists in the transfer of essential nutrients from the base to the inflorescence, leaves, and other metabolically active regions. As a result, the reproductive parts develop more quickly and subsequently get longer [ 51 ]. In view of temperature interaction with productivity, a study reported abnormal and aborted growth of truss with a reduced number of fruits under the temperature of 26 ºC compared to normal growth of truss with a higher number of normal fruits at 25 ºC [ 41 ]. According to a study's findings, daylight has a direct impact on the number of fruits and inflorescences produced; supplemental light during wintertime will result in higher fruit production [ 52 ]. Comparing the response of cherry tomatoes to two temperature treatments, low temperature (10 ºC) and control temperature (15 ºC), A study mentioned the low number of fruits produced under low temperatures as compared to the control high temperature [ 53 ]. The same researchers explained that low temperatures in a greenhouse can cause physiological changes, morphologically abnormal fruits, and flower drops. The number of fruits produced on tomato plants was also influenced by the length of time a plant remained exposed to daylight. A study reported a significant increase in the number of total fruits in plants continuously exposed to light for 5 weeks [ 54 ]. The increase in the size of fruits in terms of their length and size can be attributed to the cooperative influence of the phosphorus and potassium uptake processes. These elements aid in the production of auxins, which play a pivotal role in elongating cells by enhancing their ability to absorb water and osmotic solutes. [ 55 ]. Different biochemical processes that are mainly responsible for the vegetative growth of plants are dependent on the available concentration of CO2, the intensity of light, and the amount of heat energy. Different research studies related the quality of vegetables to the interactions of certain greenhouse conditions, such as increased CO2 with light, stress, nutrient concentration, salinity, plant species, cultivars, and growth stages [ 15 , 25 – 56 ]. They assessed the response of different vegetables to elevated levels of CO2, and it was observed that the chemical components, such as flavonoids, fructose, glucose, phenols, and soluble sugar, increased due to high CO2 concentration. Elevated CO2 levels cause a decrease in tomato nutrient contents, i.e., nitrates, protein, magnesium, and iron. It has also been reported that increased atmospheric CO2 not only influences the nutritional value but also improves the yield of different vegetables. Previously a study also reported a negative relation between tomato yield and high temperature treatments [ 57 ]. Light is also a key determinant of plant development and growth, as it is directly linked to the absorption and assimilation of CO2, which is a driving force for the process of photosynthesis [ 58 , 59 ]. The dry matter content of tomato fruit is a crucial quality trait with significant implications for its market value. Higher temperatures can lead to increased transpiration and evaporation, causing plants to lose more water. This, in turn, can reduce the dry matter content of the plant since a larger proportion of its weight In contrast to this, in the present study, it was observed that inflorescence fruits developed under low greenhouse temperatures appeared to have low dry matter contents as compared to high-temperature inflorescence fruits. An inverse relationship has also been investigated between average fruit mass and fruit dry matter (%). Fruit dry matter contents also directly affect the number of fruit-keeping days. Inflorescent fruits with high dry matter content survived a higher number of days in their intact form at room temperature. One important measure of tomato quality is firmness, which has a considerable impact. Tomato fruit's cell wall polysaccharide composition and hardness are directly influenced by the fruit's maturity process. In view of their importance as a pollutant and a key biochemical element for human health and the environment, nitrate and nitrites are highly investigated food chemical components. Conclusions The study has investigated the implications of greenhouse microclimate variations on the growth, yield, and nutritional characteristics of cherry tomatoes. Fluctuation in microclimate conditions, specifically daily temperature, and light intensity, significantly influenced plant growth and development. The identified optimal conditions for tomato growth were a temperature range of 18 ºC to 25 ºC, a light intensity of 94.62 to 240.45 W/m2, and carbon dioxide 385.61 ppm to 510.30 ppm. The fruiting performance of inflorescence was high during the months of February and March. The reason behind this is supposed to be the available greenhouse conditions and genetic characteristics of the variety. The study established a profound relationship between the nutritional profile of fruits and both recorded greenhouse conditions and the chronological order of inflorescence development. Inflorescences initiating fruit-setting and ripening processes in February and March appeared with high nutritional content. It is worth noting that the fruits with a substantial dry matter content offer advantageous characteristics, such as enhanced flavor, increased efficiency in processing, improved resilience during transportation, and extended shelf life in storage an increase in the daily average temperature and light to the optimum level was found to positively impact the overall plant growth process. In accidental observation, the positioning of plants within the greenhouse and the duration of sunlight exposure were noted as crucial factors influencing the overall performance of tomato plants in the greenhouse. Declarations Author Contributions . The following statements should be used “Conceptualization, E.M.D., A.A., J.I.O., and B.A ; methodology, E.M.D., A.A., C.S.; software, A.A.,E.M.D.,S.C., B.A.; validation, J.I.O.,A.A., and J.I.O.; formal analysis, A.A.,E.M.D., J.O.I., B.A investigation, A.A.; resources, E.M.D. and J.I.O data curation, A.A.; writing original draft preparation, A.A.; writing review and editing, A.A.,E.M.D.,J.I.O.; visualization, A.A., C.S.; supervision, E.M.D. project administration, J.I.O,; funding acquisition, E.M.D., J.I.O All authors have read and agreed to the published version of the manuscript. Acknowledgments The authors acknowledge prof. dr. Adrian Asanica, Dean Faculty of Horticulture, prof. dr. Florin Stanica, head of the department of pomology lab at the University of Agriculture and Veterinary Medicine Bucharest, for technical support. We are also grateful to Petre Andrei-Catalin, Frincu Mihai, Mis, Aurora, Mis, Ana Butcaru for laboratory assistance, and Mis, Simona, Mis, Gina, and Mr. Bogdan for greenhouse management. Ethics approval and consent to participate. Tomato seeds were bought from a local market in Bucharest, Romania. All the experiments were performed in accordance with relevant guidelines and regulations". Consent for publication . 'Not applicable Availability of data and materials All data generated or analyzed during this study are included in this Research article. Competing interests The authors declare that they have no competing interests. Funding The research leading to these results has received funding from the NO Grants 2014-2021, 574 under Project contract no. 40/2021. References Shamshiri, Shamshiri, R. R., Jones, J. W., Thorp, K. R., Ahmad, D., Man, H. C., & Taheri, S. (2018). 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Growing greenhouse tomato and sweet pepper under supplemental lighting: optimal photoperiod, negative effects of long photoperiod and their causes. In IV International ISHS Symposium on Artificial Lighting 580 (pp. 83-88). Rajametov, S. N., Lee, K., Jeong, H. B., Cho, M. C., Nam, C. W., & Yang, E. Y. (2021). Physiological traits of thirty-five tomato accessions in response to low temperature. Agriculture, 11(8), 792. Kirschbaum, M. U. (2011). Does enhanced photosynthesis enhance growth? Lessons learned from CO2 enrichment studies. Plant physiology, 155(1), 117-124. Singh, G., Singh, N., Dixit, P. S., Singh, A., Singh, R. P., Vishen, G. S., & Verma, S. R. K. (2021). Effect of integrated nutrient management on growth, yield and quality of tomato (Solanum lycopersicum L.) var. Kashi amrit. International Journal of Chemical Studies, 9(2), 262–269. https://doi.org/10.22271/chemi.2021.v9.i2d.11821. Guodaar, L. (2015). Effects of climate variability on tomato crop production in the Offinso North District of Ashanti region (Doctoral dissertation). Abdul-Baki, A. A. (1991). Tolerance of tomato cultivars and selected germplasm to heat stress. Journal of the American Society for Horticultural Science, 116(6), 1113-1116. Heuvelink, E. (1995). Growth, development and yield of a tomato crop: periodic destructive measurements in a greenhouse. Scientia horticulturae, 61(1-2), 77-99. Izzo, L. G., Mele, B. H., Vitale, L., Vitale, E., & Arena, C. (2020). The role of monochromatic red and blue light in tomato early photomorphogenesis and photosynthetic traits. Environmental and Experimental Botany, 179, 104195. Lin, L. J., Luther, G. C., & Hanson, P. (2015). Raising healthy tomato seedlings. AVRDC–The World Vegetable Center publication, 15-795. Alsadon, A. A., Al-Helal, I. M., Ibrahim, A. A., Shady, M. R., & Al-Selwey, W. A. (2018, August). Growth analysis of tomato plants in controlled greenhouses. In XXX International Horticultural Congress IHC2018: III International Symposium on Innovation and New Technologies in Protected 1271 (pp. 177-184). Demers, D. A., Dorais, M., Wien, C. H., & Gosselin, A. (1998). Effects of supplemental light duration on greenhouse tomato (Lycopersicon esculentum Mill.) plants and fruit yields. Scientia Horticulturae, 74(4), 295-306. Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 25 Oct, 2024 Read the published version in BMC Plant Biology → Version 1 posted Editorial decision: Revision requested 30 Apr, 2024 Reviews received at journal 25 Apr, 2024 Reviewers agreed at journal 14 Apr, 2024 Reviews received at journal 01 Apr, 2024 Reviewers agreed at journal 26 Mar, 2024 Reviewers agreed at journal 26 Feb, 2024 Reviewers agreed at journal 24 Feb, 2024 Reviewers invited by journal 23 Feb, 2024 Editor assigned by journal 22 Feb, 2024 Submission checks completed at journal 22 Feb, 2024 First submitted to journal 14 Feb, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-3956190","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":274792573,"identity":"c18ea8d7-1fe9-433c-947a-802da5d7f438","order_by":0,"name":"Adnan Arshad","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA+klEQVRIiWNgGAWjYJACCQh1sPnBByDFxk60FsbDbYYzQFqYidbCfLxBmgfMIKBcfkbywds8f+yiDY4dbDC2+bVNno+ZgfHDxxzcWgxupCVb87Yl5244c7DhcW7fbcM2ZgZmyZnb8GiRyDGT5m1gzp05A2hLbs9tRqAWNmZePFrkZ+R/k+b5U587c/7DBmnLntv2BLUw3Mhhk+ZhO5zbz3CwQZrhx+1EgloMzjwztpzbdhykpc2wt+F2chszYzNev8i3Jz+88eZPdW4bw/HHD378uW07v7354IeP+BwmkIDEYWwDkw141AMB/wFk3h/8ikfBKBgFo2BkAgDRpVaMao4oTgAAAABJRU5ErkJggg==","orcid":"","institution":"University of Agronomic Sciences and Veterinary Medicine of Bucharest 011464, Romania","correspondingAuthor":true,"prefix":"","firstName":"Adnan","middleName":"","lastName":"Arshad","suffix":""},{"id":274792574,"identity":"9a223abd-94fc-4881-bc98-27cdf3aa8224","order_by":1,"name":"Elena Maria Drăghici","email":"","orcid":"","institution":"University of Agronomic Sciences and Veterinary Medicine of Bucharest 011464, Romania","correspondingAuthor":false,"prefix":"","firstName":"Elena","middleName":"Maria","lastName":"Drăghici","suffix":""},{"id":274792575,"identity":"263f08cb-16f0-450a-a903-0cbd393e1446","order_by":2,"name":"Ionuț Ovidiu Jerca","email":"","orcid":"","institution":"University of Agronomic Sciences and Veterinary Medicine of Bucharest 011464, Romania","correspondingAuthor":false,"prefix":"","firstName":"Ionuț","middleName":"Ovidiu","lastName":"Jerca","suffix":""},{"id":274792576,"identity":"f1e54e09-ce52-4ab1-8274-7e7739eb77f4","order_by":3,"name":"Chan Sovorn","email":"","orcid":"","institution":"University of Agronomic Sciences and Veterinary Medicine of Bucharest 011464, Romania","correspondingAuthor":false,"prefix":"","firstName":"Chan","middleName":"","lastName":"Sovorn","suffix":""},{"id":274792577,"identity":"b529e058-37fe-477b-8a75-debde86d5d24","order_by":4,"name":"Baber Ali","email":"","orcid":"","institution":"Quaid-i-Azam University","correspondingAuthor":false,"prefix":"","firstName":"Baber","middleName":"","lastName":"Ali","suffix":""}],"badges":[],"createdAt":"2024-02-14 13:29:44","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3956190/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3956190/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1186/s12870-024-05701-5","type":"published","date":"2024-10-25T15:57:25+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":51615514,"identity":"44c5be15-56c3-4f33-a1d6-0ab4cdb1cbd9","added_by":"auto","created_at":"2024-02-26 03:28:36","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":1992923,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003e(a) Seedling growth in white cubes (b) Inner view of greenhouse experimental compartment.\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-3956190/v1/748046235400c9913d184148.png"},{"id":51615788,"identity":"4c1a0231-8fcc-47c6-b0cc-43c80a60a64f","added_by":"auto","created_at":"2024-02-26 03:36:36","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":197673,"visible":true,"origin":"","legend":"\u003cp\u003eRecorded highest, lowest, and average values of \u003cstrong\u003e(a) \u003c/strong\u003eTemperature °C, (\u003cstrong\u003eb\u003c/strong\u003e) Carbon Dioxide (ppm) and \u003cstrong\u003e(c\u003c/strong\u003e) Light intensity (W/m²) in the greenhouse growing compartment.\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-3956190/v1/2be514c759c38bd4dda8a864.png"},{"id":51615511,"identity":"79574c81-8bbd-46c4-928b-9cdfaaf930c1","added_by":"auto","created_at":"2024-02-26 03:28:36","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":92784,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003ePlants height and change in growth rate of plant height per day (cm)\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-3956190/v1/ae65946e7410e7be7903e5b1.png"},{"id":51615517,"identity":"99923441-0fd9-4d4d-995c-316d1eaea0c7","added_by":"auto","created_at":"2024-02-26 03:28:36","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":45190,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003e(Leaf area (cm\u003c/strong\u003e²).\u003c/p\u003e","description":"","filename":"4.png","url":"https://assets-eu.researchsquare.com/files/rs-3956190/v1/6bd9d198af8a159ab21b675e.png"},{"id":51615513,"identity":"cfe9400f-6bd0-4ee5-b901-dc229d70a4ad","added_by":"auto","created_at":"2024-02-26 03:28:36","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":2079325,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003e(a) Plants growth in the anterior section of compartment (western side); (b) Plants growth in the middle and posterior section of compartment (Eastern side).\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"5.png","url":"https://assets-eu.researchsquare.com/files/rs-3956190/v1/911facce7abf67fb6f22bb41.png"},{"id":51615520,"identity":"28efb70e-b747-409a-9aee-d5d83c743979","added_by":"auto","created_at":"2024-02-26 03:28:36","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":2803947,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003e(a) The mean interrfoliar spacing in Row 1 plants (b) The mean intefoliar spacing in Row 2 plants (c) The mean interfoliar spacing in Row 3 plants\u003c/strong\u003e.\u003c/p\u003e","description":"","filename":"6.png","url":"https://assets-eu.researchsquare.com/files/rs-3956190/v1/362bed7bfb76d0432b2fbd3d.png"},{"id":51615519,"identity":"a6428c16-e47e-4e4c-ba67-1c2b6c1304d1","added_by":"auto","created_at":"2024-02-26 03:28:36","extension":"png","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":143858,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003e(a) Total number of leaves per row (b) Change in leaves growth rate per day (m²). (c) leaf growth rate per observation date (m²) (c) Leves growth rate per day (m²).\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"7.png","url":"https://assets-eu.researchsquare.com/files/rs-3956190/v1/18f60e373cf78a2a23728c6c.png"},{"id":51615789,"identity":"711d22c8-4722-40f8-8091-9503f8662a68","added_by":"auto","created_at":"2024-02-26 03:36:36","extension":"png","order_by":8,"title":"Figure 8","display":"","copyAsset":false,"role":"figure","size":54730,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eAverage mass of a fruit (g) per inflorescence\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"8.png","url":"https://assets-eu.researchsquare.com/files/rs-3956190/v1/4190628680a1194a04f40cf3.png"},{"id":51615515,"identity":"c1b4917b-68e0-4d5a-ada3-8daac4f870dc","added_by":"auto","created_at":"2024-02-26 03:28:36","extension":"png","order_by":9,"title":"Figure 9","display":"","copyAsset":false,"role":"figure","size":46263,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eInflorescence length (cm)\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"9.png","url":"https://assets-eu.researchsquare.com/files/rs-3956190/v1/41116b3a129dad25a4776453.png"},{"id":51615518,"identity":"658ab312-ac5b-4def-9094-3cd7e1967426","added_by":"auto","created_at":"2024-02-26 03:28:36","extension":"png","order_by":10,"title":"Figure 10","display":"","copyAsset":false,"role":"figure","size":92359,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003ecomparison between the Number of fruits per inflorescence and total mass per inflorescence.\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"10.png","url":"https://assets-eu.researchsquare.com/files/rs-3956190/v1/6998201c8db18ad859afcf13.png"},{"id":51615521,"identity":"5998a6d2-cb28-47ea-95e1-4bb309352e90","added_by":"auto","created_at":"2024-02-26 03:28:36","extension":"png","order_by":11,"title":"Figure 11","display":"","copyAsset":false,"role":"figure","size":47551,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eNumber fruits shelf days per inflorescence.\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"11.png","url":"https://assets-eu.researchsquare.com/files/rs-3956190/v1/6257ffc53bbb4d8205676ed3.png"},{"id":51615790,"identity":"2aef886c-a12d-4f6f-b55d-2f80c23b4481","added_by":"auto","created_at":"2024-02-26 03:36:36","extension":"png","order_by":12,"title":"Figure 12","display":"","copyAsset":false,"role":"figure","size":1922578,"visible":true,"origin":"","legend":"\u003cp\u003e(\u003cstrong\u003ea\u003c/strong\u003e) Tomatoes to evaluate fruit keeping days (\u003cstrong\u003eb\u003c/strong\u003e) Fresh tomato fruits mass to evaluate dry matter contents.\u003c/p\u003e","description":"","filename":"12.png","url":"https://assets-eu.researchsquare.com/files/rs-3956190/v1/879cdd19886010789da4219c.png"},{"id":67683930,"identity":"5d22cb1b-0161-4645-8477-d027f7b6c2c4","added_by":"auto","created_at":"2024-10-28 16:21:38","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":9973270,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3956190/v1/5ecdaa61-043a-4425-ad01-4de764ad37d2.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Assessing the Growth, Yield, and Biochemical Composition of Greenhouse Cherry Tomatoes with Special Emphasis on the Progressive Growth Report (PGR).","fulltext":[{"header":"1. Introduction","content":"\u003cp\u003e \u003cdiv class=\"BlockQuote\"\u003e \u003cp\u003eTo combat unpredictable climate swings (threats) in the agriculture sector, it\u0026rsquo;s now paramount for horticulturalists to propose a sustainable environment for the growth of plants. In current times, the role of greenhouse structures in the growth of economically oriented crops is inevitable. To cultivate crops in a sustainable way, knowledge of greenhouse management techniques and optimal growing conditions such as temperature, humidity, and light is highly recommended. \u003cb\u003eTherefore, in the present study, we studied the impact of greenhouse microclimate conditions on the growth, productivity, and nutritional profile of the local cherry tomato cultivar (\u003c/b\u003e\u003cb\u003eCheramy\u003c/b\u003e \u003cem\u003eF1)\u003c/em\u003e. The cherry tomato \u003cem\u003e(Solanum lycopersicon var. cerasiforme)\u003c/em\u003e, also known as \"the most popular vegetable fruit,\u0026rdquo; belongs to the extremely large night shade plant family, the Solanaceae [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. Cherry tomato is renowned for its rich nutritional content, offering essential vitamins (A, C, and K), minerals (potassium, calcium, and phosphorus folate), and antioxidants such as carotenoids (β-carotenoids and lycopene) [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e, \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. Their consumption contributes to a balanced and healthy diet, promoting overall well-being and disease prevention [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]. Many ailments, especially chronic ones, can be cured with cherry tomatoes. [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]. Cherry tomatoes are adaptive to multiple growing substrates and environmental conditions, making them a high-demand vegetable throughout the world for many gardeners and growers. [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]. Tomato is the most important crop, with an annual production of 33. 414\u0026nbsp;million tons from 3.14\u0026nbsp;million acres [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. There is a wide variety of modern uses for tomatoes, ranging from baking, boiling, and grilling them raw in salads, soups, stews, casseroles, salsa, on sandwiches, and many others [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]. The term \"greenhouse\" refers to a covered experimental setup that can offer optimally managed microclimate growth conditions to growing plants and allow growers to extend the growing season. It is not only attributed to structural and mechanical elements but also to climatic and nutritional elements [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. \u003cb\u003eGreenhouse technology offers an adaptive approach for the sustainable growth of vegetable plants\u003c/b\u003e [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]. \u003cb\u003eOne of the most popular vegetables cultivated in greenhouses around the world is the cherry tomato\u003c/b\u003e [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. To meet the growing demand, modern farming practices have declared greenhouse cultivation an efficient and sustainable method for cherry tomato production. \u003cb\u003eTomato plants favor different climatic conditions, from moderate to warm.\u003c/b\u003e Adverse greenhouse conditions can damage the growth, biochemical, and physical attributes of plants. Greenhouses provide a controlled environment where temperature, pressure, light, CO2 concentration, and humidity can be regulated to create optimal growing conditions [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eThe synergistic effects of greenhouse environmental conditions on cherry tomato plant productivity have only been the subject of a very small amount of research. Temperature and carbon dioxide are two crucial climate variables that interact and have an impact on tomato plants [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. It has been reported that carbon dioxide levels, in combination with other environmental factors, significantly affect the nutritional quality and concentration of chemical components, total antioxidants, soluble sugar, flavonoids, and soluble solids in various vegetables, including potatoes, tomatoes, and lettuce [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e]. The net photosynthetic rates of plants and, consequently, their growth and yield can be enhanced by elevated CO2 [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. Currently, carbon dioxide (CO2) is employed as a gaseous fertilizer because of its capacity to improve plant resilience to the stress of climate change in the cultivation of greenhouse vegetables [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e, \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]. On the contrary, the concentration of Co2 at the levels of 500 and 700 ppm decreased the concentration of titratable acidity, flavonoids, and phenols [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]. High temperatures have a significant impact on various physiological and biochemical processes in tomato plants, which ultimately lead to a significant reduction in plant productivity. Enhancing plant productivity within the controlled environment of a greenhouse hinges on the critical capacity to consistently modulate both temperature (T) and relative humidity (RH) in response to diverse indoor and outdoor conditions [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. Increases in air temperature directly influence leaf and truss initiation [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e]. The number of fruits per plant, fruit development, and the time duration of fruit set and ripening decreased in response to high temperatures [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e, \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]. \u003cb\u003eIncreasing temperature patterns affect the fruit setting process, which results in low yield production in tomato plants.\u003c/b\u003e [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eDaylight, as the primary source of light energy for plants, plays a pivotal role in various aspects of their growth and development. It is instrumental in facilitating essential processes such as photosynthesis, plant maturation, flowering and fruit production, nutrient absorption, and photoperiodic responses [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e]. The duration and intensity of daylight have a direct impact on plant physiology, particularly regarding the production of flowering hormones. Plants that receive an optimal amount of light exhibit traits such as robust stems, dense foliage, and an enhanced ability to resist pests and diseases. Crops grown in greenhouses show slow growth with lower quality during long, harsh winters with little exposure to sunlight [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e]. Previously, it was observed that an increased concentration level of light (ambient\u0026thinsp;+\u0026thinsp;100 \u0026micro;mol m2 s\u0026macr;\u0026sup1;) and CO2 (900 \u0026micro;mol mol\u0026macr;\u0026sup1;) could enhance the yield of the tomato crop by 15% [\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e]. Likewise, humidity also affects the growth of plants; it increases the photosynthesis rate by lowering water stress and enhancing stomatal conductance. [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e]. It has been reported that high relative humidity enhances the yield of tomato plants grown in greenhouses. [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e, \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e]). A high humidity level in a greenhouse with a low temperature is not favorable for the growth of tomatoes, as it lowers the yield [\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eCultivating vegetables within a regulated structure, commonly known as controlled environment agriculture (CEA) or greenhouse farming, offers several advantages, particularly in colder regions of Europe. Greenhouse cultivation allows for precise control over environmental factors such as temperature, humidity, and light. This control can result in optimized growing conditions for various crops, especially tomatoes, leading to increased yield and improved crop quality [\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e]. Comprehensive knowledge of greenhouse technology is crucial for optimizing crop production within controlled environments. Extending this idea, current studies attempt to investigate more intricate elements, such as the interaction of various microclimate parameters and their possible impact on the local cherry tomato variety, \u0026ldquo;\u003cem\u003eCheramy F1.\"\u003c/em\u003e The underlying hypothesis of the study was that changes in greenhouse conditions and management practices would have a direct impact on plant growth characteristics, yield, and fruit quality. The underlying hypothesis of the study was that changes in greenhouse conditions and management practices would have a direct impact on plant growth characteristics, yield, and fruit quality. The results might help the growers to estimate the growing time and yield potential of cherry tomatoes and manage their production according to market demands.\u003c/p\u003e \u003c/div\u003e \u003c/p\u003e"},{"header":"2. Materials and Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003e2.1 Experimental Site and Greenhouse Management.\u003c/h2\u003e \u003cp\u003e \u003cdiv class=\"BlockQuote\"\u003e \u003cp\u003eThe experimental studies were carried out to evaluate the response of cherry toma-toes (Cheramy F1) to greenhouse conditions from September 2022 to April 2023 inside the research Venlo Glass greenhouse (Dutch Standard greenhouses NEN 3859) at the University of Agronomic Sciences and Veterinary Medicine of Bucharest (44.4710\u0026deg; N, 26.0656\u0026deg; E). The greenhouse is a unit of the Research Center for Quality Control of Horticultural Products. The greenhouse framework consisted of hot-dipped galvanized steel, aluminum system profiles for external cladding, and glass as the covering. The installed cultivating gutter height was 5.30 meters above the soil level. The growing compartment has an area of 160.00 m2, while the greenhouse's total covered area is 2.752.00 m2. The greenhouse was also equipped with all the advanced data recording devices, along with lighting, drip irrigation, and ventilation systems.\u003c/p\u003e \u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003e2.2 Biological material and Procedure.\u003c/h2\u003e \u003cp\u003e \u003cdiv class=\"BlockQuote\"\u003e \u003cp\u003eSeeds of Cherry tomatoes (Solanum Lycopersicon var. cerasiforme) cv. \u0026ldquo;Cheramy F1\u0026rdquo; were sown to plastic plug trays with 3.5cm deep and 3.5cm wide cells, containing disinfected coco peat growing media (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). Later, seedlings were transplanted into the perlite pot after 10 days of emergence. The transplanting of 45-day-old seedlings with first inflorescence appeared was carried out on October 30 under controlled conditions in the growing compartment. White cubes containing disinfected hydroponic perlite (2 mm) media as potting material were prepared and placed on coconut slabs in gutters (Figure.1). Nutrient solution was applied in different concentrations at the seedling stage with an EC of 1.5, during the emergence of the 1st and 2nd inflorescences with an EC of 2.3, and between the 5th and 9th inflorescences with an EC of 2.8\u0026ndash;3.0 mSiemens with a constant pH of 5.5. Irrigation in both cubes and slabs during the fruiting period was administered 10\u0026ndash;12 times per day. The amount of applied nutrient solution was 100\u0026ndash;150 ml/Plant. The distance of 30cm between the plants with a density of 3 plants per m\u0026sup2; and 1.5 cm between the immoveable benches was maintained. The marketable and unmarketable yields of tomatoes are considerably affected by the interaction effect of inter- and interrow spacing. [\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e].\u003c/p\u003e \u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003e2.3 Experimental design and Statistical analysis.\u003c/h2\u003e \u003cp\u003e \u003cdiv class=\"BlockQuote\"\u003e \u003cp\u003eTo carry out biochemical, physical, and growth analysis, we selected three rows as experimental rows, with three random plants selected from each row (denoted as p1, p2, and p3 for Row 1, Row 2, and Row 3, respectively) following the [\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e], method. Data regarding all the parameters was recorded at different dates during the extended period between December 2022 and March 2023. To find the average growth rate, the measured data was divided by the number of interval days between each date. The growth parameter graphs were generated using a combination of MS Word and Jamvoi software. Subsequently, an analysis of variance (ANOVA) was conducted, followed by the application of the normality test (Shapiro-Wilk) and the homogeneity of variances test (Levene's) at a confidence level of p\u0026thinsp;\u0026lt;\u0026thinsp;0.05.\u003c/p\u003e \u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003e2.4 Accidental observation\u003c/h2\u003e \u003cp\u003e \u003cdiv class=\"BlockQuote\"\u003e \u003cp\u003eAccidental discoveries concerning changes in daylight, temperature, and carbon di-oxide concentration are meant to be influences on plant morphology and growing status, most probably the result of uncontrolled differences in greenhouse conditions as the result of dynamic, extreme winter weather conditions. For example, there was a change in plant height, stem diameter, and number of leaves at the end of the greenhouse (which remained exposed to daylight for the maximum time) as compared to the plant in the front. Difference in size, number, and mass of fruits between the plants on the extreme right (eastern side) side of the greenhouse as compared to the middle and left side plants (west-ern side) The only explanation for this that can be offered is the unequal distribution of day length, temperature, and carbon dioxide concentration. Extended photoperiod treatments increased tomato plant yields and shoot fresh weight by 40\u0026ndash;57% (P 0.05) and 15\u0026ndash;20%, respectively, in comparison to natural light [\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e]. The duration of time (number of hours) during which plants from each row were exposed to sunlight was also calculated. The time range of sunrise and sunset and the length of day during the months of January, February, March, and April were recorded in the greenhouse (Table.1).\u003c/p\u003e \u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eThe time range of sunrise and sunset during the cultivation period.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMonth\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eSunrise (First to last date)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eSunset (First to last date)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eDaylength (First to last date)\u003c/p\u003e \u003cp\u003e(Time).\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eJanuary\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e7:51am to 7:35am\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e16:46pm to 17:22pm\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e8:54:29 to 9:47:12\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFebruary\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e7:34am to 6:55 am\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e17:24pm to 18:01pm\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e9:49:42 to 11:06:10\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMarch\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e6:53am to 6:59 am\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e18:02pm to 19:41pm\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e11:09:13 to 12:41:43\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eApril\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e6:57am to 6:08am\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e19:55pm to 20:18pm\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e12:44:47 to 14:09:37\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec7\" class=\"Section2\"\u003e \u003ch2\u003e2.5 Data Collection\u003c/h2\u003e \u003cdiv id=\"Sec8\" class=\"Section3\"\u003e \u003ch2\u003e2.5.1 Growth measurements.\u003c/h2\u003e \u003cdiv id=\"Sec9\" class=\"Section4\"\u003e \u003ch2\u003e2.5.1.1 Plant height:\u003c/h2\u003e \u003cp\u003e \u003cdiv class=\"BlockQuote\"\u003e \u003cp\u003eThe data collection activity commenced when plants were at the flowering and early fruit setting stages from December to March during two consecutive seasons with different day intervals. The objective was to assess the growth rate of plants during the maturity stage. The height (cm) of the plants was measured from the base of the plants to the terminal growing point of the main stem with the help of measuring tape and reported as the average of three plants for each row.\u003c/p\u003e \u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec10\" class=\"Section4\"\u003e \u003ch2\u003e2.5.1.2 Leaf expansion rate (m\u0026sup2;):\u003c/h2\u003e \u003cp\u003e \u003cdiv class=\"BlockQuote\"\u003e \u003cp\u003eThree leaves from each plant were marked: older (6th leaf from base), mature young (14th leaf from base), and newborn (26th leaf) marked with blue ribbon to estimate leaf expansion rate after one week. The maximum length, distance from the base of the petiole to the distal end (Ls), and maximum width, farthest distance across the petiole (Lw), of each marked leaf were recorded with a measuring ruler.\u003c/p\u003e \u003cp\u003e \u003cem\u003eLs (cm) \u0026times; Lw (cm)\u003c/em\u003e \u003c/p\u003e \u003cp\u003e \u003cem\u003eL m\u0026sup2; = L cm\u0026sup2; * 0.0001\u003c/em\u003e \u003c/p\u003e \u003cp\u003e \u003cem\u003eThe results are expressed in meter square (m\u0026sup2;).\u003c/em\u003e \u003c/p\u003e \u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec11\" class=\"Section4\"\u003e \u003ch2\u003e2.5.1.3 Leaf area:\u003c/h2\u003e \u003cp\u003e \u003cdiv class=\"BlockQuote\"\u003e \u003cp\u003eEight leaves, leaf below each first eight inflorescences of uniform size from each line (24 leaves from 3 lines), were selected for each treatment, spread, and tiled under a scanner (LA2400 Scanner; Regent Instruments for Image Analysis with Software\u0026rsquo;s). The leaves were scanned (LA2400 Scanner), their images were saved, and using a computer image analysis system, Winfolia Pro 2015 (Regent Instruments), the leaf area was measured. The stem diameter of each plant was measured from the base (close to the insertion point), middle (after half the number of leaves), and top (below the newly emerged inflorescence) with the use of a digital caliper and expressed in mm.\u003c/p\u003e \u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec12\" class=\"Section4\"\u003e \u003ch2\u003e2.5.1.4 Leaf fresh and dry weight:\u003c/h2\u003e \u003cp\u003e \u003cdiv class=\"BlockQuote\"\u003e \u003cp\u003eOne representative leaf from each row was collected and chopped with scissors to get small pieces. 1 gram (3 repetitions, 3 g) of chopped fresh material was weighed using an analytical weighing balance in weighing bottles. Latterly weighed samples were put into the oven for 24 hours at 105\u0026deg;C with a 50% air flap. 4.5.1.6 stem diameter. The stem diameter of each plant was measured from the base (close to the insertion point), middle (after half the number of leaves), and top (below the newly emerged inflorescence) with the use of a digital caliper and expressed in mm.\u003c/p\u003e \u003cp\u003e \u003cem\u003eDry matter Calculation Formula (%)\u003c/em\u003e \u003c/p\u003e \u003cp\u003e \u003cem\u003eX\u0026thinsp;=\u0026thinsp;A-Z/A-C\u0026times;100\u003c/em\u003e \u003c/p\u003e \u003cp\u003e \u003cem\u003eDM\u0026thinsp;=\u0026thinsp;100-X\u003c/em\u003e \u003c/p\u003e \u003cp\u003e \u003cem\u003eWhere\u003c/em\u003e:\u003c/p\u003e \u003cp\u003e \u003cem\u003eA\u0026thinsp;=\u0026thinsp;weighing bottle and sample weight before drying (g);\u003c/em\u003e \u003c/p\u003e \u003cp\u003e \u003cem\u003eZ\u0026thinsp;=\u0026thinsp;weighing bottle and sample weight after drying (105\u0026deg; C) (g)\u003c/em\u003e \u003c/p\u003e \u003cp\u003e \u003cem\u003eC\u0026thinsp;=\u0026thinsp;Empty weighing bottle weight\u003c/em\u003e \u003c/p\u003e \u003cp\u003eThe results are expressed inform of percentage (%).\u003c/p\u003e \u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec13\" class=\"Section3\"\u003e \u003ch2\u003e2.5.2 Productivity and chemical parameters:\u003c/h2\u003e \u003cp\u003e \u003cdiv class=\"BlockQuote\"\u003e \u003cp\u003eThe total number of inflorescences on each plant was counted, and the productivity performance of each inflorescence was recorded on the basis of the available data for the number of inflorescences, length of inflorescence, number of fruits / inflorescences, average fruit mass / inflorescences, fruit dry matter / inflorescences, fruit height/ inflorescences, and fruit diameter / inflorescences .The performance of each inflorescence has been reported on the basis of the cumulative data available from each row. (Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e).\u003c/p\u003e \u003c/div\u003e \u003c/p\u003e \u003cdiv id=\"Sec14\" class=\"Section4\"\u003e \u003ch2\u003e2.5.2.1 Fruit keeping quality:\u003c/h2\u003e \u003cp\u003e \u003cdiv class=\"BlockQuote\"\u003e \u003cp\u003eFor every plant, two representative fruits from each inflorescence were put into polythene bags on the day of harvest and kept at room temperature to estimate fruit quality. The number of days tomatoes from each inflorescence survived at room temperature (whenever the fruit's skin softens and crinkles) was counted, and the mean number of days was calculated as described by [\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e].\u003c/p\u003e \u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec15\" class=\"Section4\"\u003e \u003ch2\u003e2.5.2.2 Fruit size and mass of fruit / inflorescence:\u003c/h2\u003e \u003cp\u003e \u003cdiv class=\"BlockQuote\"\u003e \u003cp\u003eThe fruits harvested from the first twelve inflorescences of each plant were weighed individually on a digital weighing balance. The weighed mass was summed and expressed in yield (g) per inflorescence. The fruit height and diameter of five randomly selected fruits of the first twelve inflorescences was measured using a digital caliper and expressed in millimeters.\u003c/p\u003e \u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec16\" class=\"Section4\"\u003e \u003ch2\u003e2.5.2.3 Fruit firmness ((kg /cm\u0026sup2;):\u003c/h2\u003e \u003cp\u003e \u003cdiv class=\"BlockQuote\"\u003e \u003cp\u003eA penetrometer (Fruit firmness tester, 600E, Italy) was used to record the data regarding the fruit firmness. Five tomato fruits of equal size and similar physical appearance were taken, and using a peeler, each fruit was peeled off on one side. The pressure was exerted using an 8-mm pistol and expressed in kg /cm\u0026sup2;).\u003c/p\u003e \u003cp\u003e2.5.2.4 Fruit fresh and dry matter: 1 g (3 repetitions) of tomato juice extract was measured in a vial using a digital weighing balance. Later on, all the weighed samples were put into an oven at 105\u0026deg;C with a 50% air flap for 24 hours and expressed in percentages.\u003c/p\u003e \u003cp\u003e \u003cem\u003eDry matter Calculation Formula (%)\u003c/em\u003e \u003c/p\u003e \u003cp\u003e \u003cem\u003eX\u0026thinsp;=\u0026thinsp;A-Z/A-C\u0026times;100\u003c/em\u003e \u003c/p\u003e \u003cp\u003e \u003cem\u003eDM\u0026thinsp;=\u0026thinsp;100-X\u003c/em\u003e \u003c/p\u003e \u003cp\u003e \u003cem\u003eWhere\u003c/em\u003e:\u003c/p\u003e \u003cp\u003e \u003cem\u003eA\u0026thinsp;=\u0026thinsp;weighing bottle and sample weight before drying (g);\u003c/em\u003e \u003c/p\u003e \u003cp\u003e \u003cem\u003eZ\u0026thinsp;=\u0026thinsp;weighing bottle and sample weight after drying (105\u0026deg; C) (g)\u003c/em\u003e \u003c/p\u003e \u003cp\u003e \u003cem\u003eC\u0026thinsp;=\u0026thinsp;Empty weighing bottle weight\u003c/em\u003e \u003c/p\u003e \u003cp\u003eThe results are expressed inform of percentage (%).\u003c/p\u003e \u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec17\" class=\"Section4\"\u003e \u003ch2\u003e2.5.2.5 Nitrate Contents (mg / kg) and Sugar contents (Brix %)\u003c/h2\u003e \u003cp\u003e \u003cdiv class=\"BlockQuote\"\u003e \u003cp\u003eThe nitrate content was assessed using the portable tester \"The Greenest ECO. The sugars in the fruits from inflorescences 1\u0026ndash;6 were directly measured in the greenhouse using a portable refractometer with a Brix scale.\u003c/p\u003e \u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec18\" class=\"Section4\"\u003e \u003ch2\u003e2.5.2.6 Titratable acidity\u003c/h2\u003e \u003cp\u003e \u003cdiv class=\"BlockQuote\"\u003e \u003cp\u003eThe titratable acidity was assessed by homogenizing the samples (5g) with distilled water and then titrating them with 0.1 N NaOH until they achieved a pH of 8.1.\u003c/p\u003e \u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003c/div\u003e"},{"header":"3. Results","content":"\u003cp\u003eFigure 2 displays the average monthly data for greenhouse microclimate parameters, carbon dioxide, sunlight, humidity, and the highest and lowest air temperatures throughout the \u003cstrong\u003etomato-growing winter season,\u003c/strong\u003e extended from October 2022 to March 2023. Microclimatic conditions significantly influence plant development. Variations in greenhouse conditions can significantly influence the photosynthesis process and overall plant health. During the plant\u0026apos;s growth phase in October and November, the greenhouse experiences a maximum air temperature of 31.5\u0026minus; 41.3 \u0026deg;C and a minimum air temperature in the range of 8.2\u0026minus;10.5\u0026deg;C with an overall average temperature of 18.98\u0026minus;21.22 \u0026deg;C. During the fruit-bearing and fruit-ripening stages in December and January, the average temperature was recorded in the range of 18.35\u0026ndash;20.77 \u0026deg;C.\u003c/p\u003e\n\u003cp\u003eThe average carbon dioxide (CO2) concentration and light amount in the growing compartment while plants were in early vegetative growth stages were recorded within the range of 385.61\u0026minus;451.79 parts per million (ppm) and 94.62\u0026minus;240.45 watts per square meter (W/m\u0026sup2;), respectively. The average carbon dioxide (CO2) concentration and light amount in the growing compartment, while plants were in the fruit-bearing and fruit-ripening phases were recorded at 437.51\u0026minus;510.30 ppm and 104.13\u0026minus;136.64 W/m\u0026sup2;, respectively. The availability of optimum ranges of temperature, light, and CO2 is highly recommended for the optimal growth of cherry tomatoes. Tomatoes Plants can grow at their fastest rate within the optimum range of day duration and light intensity [25]. In the present study, plants showed a maximum growth rate at the end of January and March. The available average growing conditions during these months were: temperature, 20.77\u0026minus;25.06\u0026deg;C; CO2 468.29\u0026minus;510.30 ppm. Light: 136.64\u0026minus;155.02 W/m\u0026sup2;. These results are consistent with previous findings [1, 34].\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e2.1\u003c/em\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003cem\u003eVegetative growth parameters\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eAll the representative plants in each row showed an exceedingly significant interaction (\u003cem\u003eP\u0026lt;0.001\u003c/em\u003e) between the total plant growth parameters and the observation dates (Table 2). The graphical representation, labeled Figure 3, illustrates the cumulative plant height per row and the daily growth rate variation. On the 148th day following the transplantation of tomato plants into the greenhouse experimental chamber, the average plant heights in rows 1, 2, and 3 were much higher\u0026mdash;4.72 cm per day\u0026mdash;at the start of February, when the average temperature inside the greenhouse was 21.32 \u0026deg;C and day length was about 10 h. A sudden decrease in plant growth rate was observed in the middle of February, when the average 10-day temperature was 17.98 \u0026deg;C, CO\u003csub\u003e2\u003c/sub\u003e was 402 ppm, and light intensity was 134 W/m\u003csup\u003e2\u003c/sup\u003e. It might also be the hot outdoor weather conditions that reduced the daytime light exposure. The total number of leaves per plant was significantly different on each observation date. An average of 3 to 5 leaves emerges every week on each plant. The total number of leaves varied in relation to the change in total height of the plant and plant orientation in the greenhouse. Plants in the western section (anterior part) of the greenhouse exhibited low height, and as a result, they appeared with a smaller number of leaves (Figure 5). The progressive rise in the cumulative leaf count exhibited sustained constancy throughout the entire duration of the observation period, persisting until the final day of examination.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eLeaf area is an important indicator of plant growth and productivity. It has been found that plants with a large leaf area produce more fruit. In the present study, the leaf below each inflorescence was brought under observation. The results showed a direct relationship between productivity and leaf area. The leaf area was significantly different among the observed leaves (P = 0.02). The 3\u003csup\u003erd\u003c/sup\u003e leaf showed the highest leaf area, followed by leaf numbers 8\u003csup\u003e\u0026nbsp;th\u003c/sup\u003e and 9\u003csup\u003eth\u0026nbsp;\u003c/sup\u003e. The 7\u003csup\u003eth\u003c/sup\u003e leaf appeared with the lowest leaf area, followed by the 2nd and 1\u003csup\u003est\u003c/sup\u003e (Figure 4). Leaves in the range of two to four were found between two successive inflorescences.\u003c/p\u003e\n\u003cp\u003eRow 3 plants in the southeastern section of the greenhouse, where the plants received ample exposure to early morning sunlight and generally remained under consistent solar irradiance, exhibited a comparatively shorter stature and a higher leaf count in comparison to other rows\u0026apos; plants. Row 3 plants appeared with the maximum number of total leaves per plant, with an average of 80 leaves per plant, followed by Row 1 and Row 2, which exhibited mean total leaf counts of 76 and 75 leaves per plant, respectively, on the final day of observation.\u003c/p\u003e\n\u003cp\u003eThe average distance between the two leaves was low in the case of Row 3 plants (6.5 cm) as compared to Row 1 and Row 2 (8.5 cm and 7.8 cm, respectively). The interstitial spacing between the two nascent upper leaves was greater as compared to the middle-young and older leaves close to the root. (Figure 6).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eA non-significant (P = 0.626)\u003cem\u003e\u0026nbsp;\u003c/em\u003einteraction between the growth rate of mature-older leaves in each row and observation dates was found. While a significant change in the growth rate of middle-young and upper nascent leaves was found (\u003cem\u003eP\u0026lt;0.00\u003c/em\u003e9,\u003cem\u003e\u0026nbsp;P\u0026lt;0.012, respectively),\u0026nbsp;\u003c/em\u003eit was observed that older leaves, which have attained the length of 40 cm, show a slow growth rate as compared to newly emerged upper leaves (10\u0026ndash;15 cm) and leaves at intermediate growth stages (15\u0026ndash;30 cm).\u003c/p\u003e\n\u003cp\u003eThe observed growth rates of the older mature leaf, middle young leaf, and newly emerged upper leaf were recorded as follows: mature leaf: 0.003988 m2/day; middle leaf: 0.008733 m2/day; top newborn leaf: 0.010722 m2/day (Figure 7). An inconsistent change in leaf growth rate on each observation date was observed. Different leaf morphological responses have also been observed throughout the study. Leaves exhibited wilting due to reduced temperatures and diminished light intensity in the months of January and February. Leaves exposed to low temperatures displayed signs of wrinkling and damage to their cuticles. All the plants showed indistinctive stem diameter growth (Table 2). A significant change was observed in the stem diameter of plants at their top, middle, and base sections across various observation dates, with corresponding p-values of P\u0026lt;0.012, P=0.028, and P\u0026lt;0.001, respectively. The measured stem diameter on the top was in the range of 9.32mm to 13.43 mm, while in the middle part and close to the base, it was in the range of 10.48mm to 16.62mm and 5.52 mm to 10.39 mm, respectively\u003c/p\u003e\n\u003cp\u003e2.2 \u003cem\u003eplants productivity parameters\u003c/em\u003e.\u003c/p\u003e\n\u003cp\u003eIn the present study, tomato plants showed a distinctive productivity behavior in response to greenhouse conditions (Table 3). The difference among the plants on number of inflorescences, length of inflorescence, number of fruits per inflorescence, average fruit mass per inflorescence, fruit dry matter per inflorescence, fruit height per inflorescence and fruit diameter per inflorescence. was highly significant. A direct influence of greenhouse conditions on inflorescence length, number of fruits, and total mass per inflorescence was observed. High temperature fluctuations during the fruiting setting stages have greatly influenced the yield potential of each inflorescence. Inflorescence, which received an exceedingly optimum temperature, appeared to have maximum yield potential.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2.\u003c/strong\u003e Growth parameters (mean values \u0026plusmn; SD) in response to greenhouse conditions in winter-grown cherry tomatoes.\u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" align=\"\" width=\"760\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e\u003cstrong\u003eObservation Dates\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e\u003cstrong\u003eOlder leaf growth rate (m\u0026sup2;)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e\u003cstrong\u003eMature leaf growth rate (m\u0026sup2;)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e\u003cstrong\u003eNascent leaf growth rate (m\u0026sup2;)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eStem diameter growth rate at base\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(mm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eStem diameter growth rate in middle (mm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eStem diameter growth rate at top\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(mm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal height of plant\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal number of leaves plants\u0026macr;\u0026sup1;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e\u003cstrong\u003e21-12-2022\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e0.194\u0026nbsp;\u0026plusmn;0.013\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e0.158 \u0026plusmn;0.011\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e0.051 \u0026plusmn;0.011\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e10.07\u0026plusmn;0.867\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e11.46\u0026plusmn;0.99\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e5.83\u0026plusmn;0.328\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e169.88 \u0026plusmn;5.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e32.13\u0026plusmn;1.52\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e\u003cstrong\u003e06-01-2023\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e0.201\u0026nbsp;\u0026plusmn;0.013\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e0.166 \u0026plusmn;0.011\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e0.058 \u0026plusmn;0.013\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e10.64\u0026plusmn;0.637\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e12.24\u0026plusmn;0.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e6.58\u0026plusmn;0.580\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e210.22 \u0026plusmn;8.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e36.11\u0026plusmn;0.83\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e\u003cstrong\u003e13-01-2023\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e0.207\u0026nbsp;\u0026plusmn;0.016\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e0.174 \u0026plusmn;0.011\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e0.077 \u0026plusmn;0.014\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e11.06\u0026plusmn;0.622\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e12.89\u0026plusmn;0.94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e7.29\u0026plusmn;0.638\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e230.77 \u0026plusmn;8.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e39.44\u0026plusmn;0.50\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e\u003cstrong\u003e20-01-2023\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e0.211\u0026nbsp;\u0026plusmn;0.018\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e0.180 \u0026plusmn;0.013\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e0.088 \u0026plusmn;0.013\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e11.46\u0026plusmn;0.428\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e13.45\u0026plusmn;1.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e7.75\u0026plusmn;0.401\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e255.11 \u0026plusmn;7.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e42.77\u0026plusmn;1.07\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e\u003cstrong\u003e27-01-2023\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e0.214\u0026nbsp;\u0026plusmn;0.022\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e0.184 \u0026plusmn;0.014\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e0.099 \u0026plusmn;0.011\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e11.86\u0026plusmn;0.378\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e13.98\u0026plusmn;1.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e8.20\u0026plusmn;0.364\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e279.00 \u0026plusmn;7.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e46.44\u0026plusmn;0.50\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e\u003cstrong\u003e03-02-2023\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e0.224\u0026nbsp;\u0026plusmn;0.023\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e0.194 \u0026plusmn;0.010\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e0.114 \u0026plusmn;0.007\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e12.48\u0026plusmn;0.546\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e14.39\u0026plusmn;1.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e8.58\u0026plusmn;0.289\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e301.55 \u0026plusmn;13.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e51.88\u0026plusmn;1.01\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e\u003cstrong\u003e13-02-2023\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e0.227\u0026nbsp;\u0026plusmn;0.025\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e0.201\u0026plusmn;0.006\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e0.125 \u0026plusmn;0.004\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e12.84\u0026plusmn;0.405\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e14.92\u0026plusmn;1.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e8.90\u0026plusmn;0.301\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e325.22\u0026plusmn; 13.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e56.00\u0026plusmn;2.60\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e\u003cstrong\u003e02-03-2022\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e0.230\u0026nbsp;\u0026plusmn;0.029\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e0.209 \u0026plusmn;0.008\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e0.135 \u0026plusmn;0.008\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e13.26\u0026plusmn;0.541\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e15.50\u0026plusmn;1.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e9.36\u0026plusmn;0.442\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e381.22 \u0026plusmn;29.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e68.11\u0026plusmn;2.52\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e\u003cstrong\u003e27-03-2022\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e0.231\u0026nbsp;\u0026plusmn;0.029\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e0.215 \u0026plusmn;0.008\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e0.147 \u0026plusmn;0.006\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e12.85\u0026plusmn;0.552\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e15.84\u0026plusmn;1.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e9.86\u0026plusmn;0.512\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e454.88 \u0026plusmn;29.94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e77.00\u0026plusmn;2.64\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e\u003cstrong\u003eF\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e0.793\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e6.748\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e22.493\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e6.053\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e4.458\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e19.879\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e78.638\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e131.875\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e\u003cstrong\u003eP\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e0.626\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e0.009\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e\u0026lt;.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e0.012\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e0.028\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt;.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.11111111111111%\"\u003e\n \u003cp\u003e\u0026lt;.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eP \u0026lt; 0.05\u0026hellip;*, 0.01\u0026hellip;**, 0.001\u0026hellip;*** ns = non-Significance level.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eA non-significant difference was observed between total fruit mass per inflorescence and average fruit mass per inflorescence (Table 3). In terms of productivity parameters, there was also a great difference between and among the plants in each row (Figure 8). The experimental results showed a non-significant difference among the plants in each row in terms of the total number of inflorescences per plant.\u003c/p\u003e\n\u003cp\u003eOn average, each plant produced one inflorescence in a week. Each plant produced 20 to 22 total inflorescences during its 4-month lifespan. A direct relationship was found between the height of the plant and the total number of inflorescences. The plants with maximum height appeared to have a greater number of inflorescences as compared to other low-height plants. The inflorescence length significantly varied (\u003cem\u003eP\u0026lt;0.001\u003c/em\u003e) as the order of inflorescence changed on each plant. Inflorescence number 6 appeared with a maximum average length of 47.54 cm, followed by inflorescence numbers 5 and 7 (46.54 cm, 45.23 cm, respectively). Inflorescence numbers 1 and 2 showed minimum growth, with an average of 19.89 cm and 25.35 cm in all three rows on the last observation day (Figure 9). The number of fruits also significantly differed from inflorescence to inflorescence (\u003cem\u003eP\u0026lt;0.001\u003c/em\u003e). Inflorescence number 4 produced the maximum number of fruits, followed by inflorescence numbers 5 and 9, respectively, of all plants \u0026lsquo;rows (Table 3). The lowest number of fruits produced was inflorescence number 2, followed by inflorescence numbers 1 and 7, respectively. The total fruit mass was not significantly different among the inflorescences of each plant\u0026apos;s rows (P = 0.296). Inflorescence number 10 had the largest total fruit mass (243 g), followed by inflorescence numbers 6 and 3 (240.27 g and 235.41 g, respectively). Interestingly, the inflorescence with the highest number of fruits (number 4) did not appear with the highest total fruit mass (g); the possible reason behind this was the mass of individual fruit on each truss (Figure 10).\u003c/p\u003e\n\u003cp\u003eInflorescence number 2 appeared with the highest average fruit mass (14.40 g), followed by Inflorescence number 1 and Inflorescence number 3 (12.54g, 12.86g). In the present findings, a direct relationship was observed between the fruit attachment order on each truss and fruit mass. On most of the trusses, the first five fruits were large and high in mass and diameter. Fruits in the middle of each inflorescence were mostly medium-sized and had a low diameter and mass.\u003c/p\u003e\n\u003cp\u003eThe fruits of each inflorescence were not significantly different from each other in view of their diameter (\u003cem\u003eP = 0.322\u003c/em\u003e). Inflorescence number 2 appeared with the highest fruit diameter (30.23 mm), followed by Inflorescence number 1 and Inflorescence number 3 (28.37 mm and 28.87 mm, respectively). The increase in the size of fruits in terms of their length and size can be attributed to the cooperative influence of phosphorus, potassium, and water. These elements aid in the production of auxins, which play a pivotal role in elongating cells by enhancing their ability to absorb water and osmotic solutes.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3.\u003c/strong\u003e Productivity parameters (mean values \u0026plusmn; SD) in response to greenhouse conditions in winter-grown cherry tomatoes.\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" align=\"\" width=\"737\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e\u003cstrong\u003eInflorescence number.\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e\u003cstrong\u003eInflorescence Length. (cm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e\u003cstrong\u003eNumber of fruits.\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal Fruit mass (g)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAverage fruit mass(g)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eFruit Dry matter (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eFruit diameter\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;(mm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eShelf days\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e\u003cstrong\u003e1\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e19.90\u0026plusmn;0.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e13.00\u0026plusmn;0.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e181.46\u0026plusmn;20.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e12.54\u0026plusmn;1.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e3.16\u0026plusmn;0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e28.97\u0026plusmn;1.8868\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e14.00\u0026plusmn;2.00\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e\u003cstrong\u003e2\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e25.36\u0026plusmn;1.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e13.00\u0026plusmn;0.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e183.84\u0026plusmn;37.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e14.40\u0026plusmn;2.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e3.69\u0026plusmn;0.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e30.23\u0026plusmn;1.2818\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e14.00\u0026plusmn;1.00\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e\u003cstrong\u003e3\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e35.54\u0026plusmn;5.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e17.44\u0026plusmn;1.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e235.41\u0026plusmn;56.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e12.86\u0026plusmn;2.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e7.78\u0026plusmn;0.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e28.87\u0026plusmn;2.7486\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e13.67\u0026plusmn;2.08\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e\u003cstrong\u003e4\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e38.83\u0026plusmn;2.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e34.67\u0026plusmn;4.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e161.63\u0026plusmn;37.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e11.08\u0026plusmn;2.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e10.31\u0026plusmn;3.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e28.74\u0026plusmn;1.7164\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e16.67\u0026plusmn;1.15\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e\u003cstrong\u003e5\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e46.56\u0026plusmn;7.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e31.22\u0026plusmn;2.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e178.17\u0026plusmn;47.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e11.83\u0026plusmn;1.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e13.89\u0026plusmn;4.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e27.30\u0026plusmn;0.7007\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e21.67\u0026plusmn;1.52\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e\u003cstrong\u003e6\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e47.54\u0026plusmn;6.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e26.00\u0026plusmn;2.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e240.27\u0026plusmn;36.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e9.79\u0026plusmn;0.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e11.49\u0026plusmn;3.44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e28.35\u0026plusmn;0.6140\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e17.67\u0026plusmn;0.57\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e\u003cstrong\u003e7\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e45.23\u0026plusmn;6.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e14.33\u0026plusmn;0.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e226.80\u0026plusmn;19.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e9.71\u0026plusmn;1.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e11.83\u0026plusmn;0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e28.47\u0026plusmn;2.0001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e19.67\u0026plusmn;1.15\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e\u003cstrong\u003e8\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e36.17\u0026plusmn;5.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e18.22\u0026plusmn;6.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e213.19\u0026plusmn;11.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e9.95\u0026plusmn; 0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e9.85\u0026plusmn;0.791\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e26.82\u0026plusmn;1.2453\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e16.33\u0026plusmn;1.15\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e\u003cstrong\u003e9\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e32.33\u0026plusmn;5.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e28.78\u0026plusmn;9.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e220.76\u0026plusmn;10.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e10.26\u0026plusmn;0.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e10.18\u0026plusmn;0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e26.57\u0026plusmn;1.6044\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e16.32\u0026plusmn;2.08\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e\u003cstrong\u003e10\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e27.67\u0026plusmn;3.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e27.00\u0026plusmn;1.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e243.22\u0026plusmn;81.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e11.72\u0026plusmn;3.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e9.47\u0026plusmn;0.304\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e26.87\u0026plusmn;1.9358\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e15.00\u0026plusmn;1.00\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e\u003cstrong\u003eF\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e22.700\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e36.078\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e1.479\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e1.604\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e210.726\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e1.401\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e0.998\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e\u003cstrong\u003ep\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e\u0026lt;.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e\u0026lt;.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e0.296\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e0.260\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e\u0026lt;.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e0.322\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.5%\"\u003e\n \u003cp\u003e\u0026nbsp;0.475\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eP \u0026lt; 0.05\u0026hellip;*, 0.01\u0026hellip;**, 0.001\u0026hellip;*** ns = non-Significance level\u003c/p\u003e\n\u003cp\u003e2.3 Nutritional composition of tomato fruit.\u003c/p\u003e\n\u003cp\u003eOne of the key measures of tomato fruit quality and its suitability for various applications is referred to as dry matter content. The dry matter content of tomato fruit is a crucial quality trait with significant implications for its market value. This attribute primarily refers to the proportion of solid material in the fruit, excluding water content. Present findings found a significant difference in dry matter contents for each inflorescence (Table 3). An inverse relationship has also been investigated between average fruit mass and fruit dry matter (%). Inflorescences with the highest average fruit mass, Inflorescence number 2, followed by 1 and 3, were low in dry matter content (3.16-3.69%). The dry matter contents were high in the case of inflorescence number 5 (13.89%), followed by inflorescence numbers 7 and 6 (11.83% and 11.49%, respectively). In view of shelf days, a non-significant relationship (\u003cem\u003ep = 0.475\u003c/em\u003e) was found among the fruits of each inflorescence (Table 3). The 5th inflorescence\u0026apos;s fruits (22 days), followed by the 7th and 6\u003csup\u003eth\u003c/sup\u003e (20 days and 18 days, respectively), survived the maximum number of days at room temperature (Figure 11). In the present study, we found a direct relationship between fruit dry matter contents and the number of fruit-keeping days (Figure 12). Inflorescent fruits with high dry matter content survived a higher number of days in their intact form at room temperature. Fruits containing a significant amount of dry matter exhibit favorable attributes, including enhanced flavor, increased efficiency in processing, improved resilience during transportation, and extended shelf life in storage. In the present study, we found a high brix (%) in inflorescence number 8 (8.85%), followed by inflorescence numbers 7 and 5 (8.22%, 8.10%), respectively (Table 4). Most of the solid substances in tomato fruits consist of carbohydrates, with the primary ones being sugars that can dissolve in water. Our result on the dry matter contents found a direct relationship between carbohydrate contents and dry matter contents. The contents of various sugars found in cultivated tomatoes are mainly influenced by both genetic traits and the environmental factors under which they are grown. The titratable acidity in the fruits of cultivated cherry tomatoes varies significantly from inflorescence to inflorescence (\u003cem\u003eP = 0.008\u003c/em\u003e).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe titratable acidity contents were high in inflorescence number 3 fruits (15.81%), followed by inflorescence numbers 6 and 5 fruits (15.64% and 15.63%, respectively).\u003c/p\u003e\n\u003cp\u003eA low titratable acidity value was observed in inflorescence number 1 (12.76%), followed by inflorescence numbers 10 and 7 (13.21% and 13.73%), respectively. One important measure of tomato quality is firmness, which has a considerable impact. The tomato fruit\u0026apos;s maturity process has a direct impact on the content and hardness of its cell wall polysaccharides. The fruit firmness of each inflorescence\u0026apos;s fruits was also significantly different in comparison to each other. Inflorescence number 9 fruits appeared with high fruit firmness (7.57\u003cem\u003e\u0026nbsp;kg/cm), followed by\u003c/em\u003e inflorescence numbers 7 and 6 (7.21 \u003cem\u003ekg/cm\u003c/em\u003e and 7.15\u003cem\u003e\u0026nbsp;kg/cm,\u003c/em\u003e respectively). Inflorescence number 4 appeared with the lowest fruit firmness (5.40\u003cem\u003e\u0026nbsp;kg/cm).\u003c/em\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eIn view of their importance as a pollutant and a key biochemical element for human health and the environment,\u003cem\u003e\u0026nbsp;\u003c/em\u003enitrate and nitrites are highly investigated food chemical components. Given their significance as environmental pollutants and essential biochemical elements for both human health and the ecosystem, nitrate and nitrite have been the subject of extensive scientific research in the field of food chemistry. The nitrate concentration in cherry tomatoes is a reliable source for finding the nutritional profile. In the present study, inflorescence number 6 fruits were found to be enriched with nitrate contents (8.85 \u003cem\u003emg/kg),\u0026nbsp;\u003c/em\u003efollowed by inflorescence numbers 5 and 3 (8.07 \u003cem\u003emg/kg and 8.03).\u003c/em\u003e Fruit\u003cem\u003e\u0026nbsp;\u003c/em\u003enitrate contents were not significantly different among the inflorescences (\u003cem\u003eP = 0.228\u003c/em\u003e).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 4.\u003c/strong\u003e Fruit nutritional contents (mean values \u0026plusmn; SD) in response to greenhouse conditions of winter grown cherry tomatoes.\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" align=\"\" width=\"706\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e\u003cstrong\u003eInflorescence number.\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e\u003cstrong\u003eBrix (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e\u003cstrong\u003eNitrate contents.\u0026nbsp;\u003c/strong\u003e\u003cem\u003e(mg/kg)\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eFruit acidity\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eFruit Firmness\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cem\u003e(\u003c/em\u003e\u003cem\u003ekg /cm\u0026sup2;\u003c/em\u003e\u003cem\u003e)\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e\u003cstrong\u003eLeaf Area\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e(cm\u0026sup2;)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e\u003cstrong\u003e1\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e7.21\u0026plusmn;0.2536\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e136.67\u0026plusmn;5.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e12.76\u0026plusmn;0.399\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e6.43\u0026plusmn;0.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e7183\u0026plusmn;16\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e\u003cstrong\u003e2\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e7.50\u0026plusmn;0.7708\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e125.00\u0026plusmn;5.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e14.12\u0026plusmn;0.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e5.68\u0026plusmn;0.86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e7013\u0026plusmn;12\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e\u003cstrong\u003e3\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e6.91\u0026plusmn;0.2143\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e135.00\u0026plusmn;8.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e15.81\u0026plusmn;0.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e5.93\u0026plusmn;0.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e10477\u0026plusmn;13\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e\u003cstrong\u003e4\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e7.15\u0026plusmn;0.3585\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e131.67\u0026plusmn;7.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e13.77\u0026plusmn;1.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e5.40\u0026plusmn;0.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e8851\u0026plusmn;79\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e\u003cstrong\u003e5\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e8.07\u0026plusmn;0.8730\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e133.33\u0026plusmn;5.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e15.63\u0026plusmn;0.60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e5.76\u0026plusmn;0.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e7541\u0026plusmn;43\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e\u003cstrong\u003e6\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e8.85\u0026plusmn;1.0671\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e145.00\u0026plusmn;5.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e15.64\u0026plusmn;0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e7.15\u0026plusmn;0.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e9287\u0026plusmn;11\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e\u003cstrong\u003e7\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e8.22\u0026plusmn;1.0607\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e124.00\u0026plusmn;5.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e13.73\u0026plusmn;0.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e7.21\u0026plusmn;0.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e6294\u0026plusmn;52\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e\u003cstrong\u003e8\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e7.79\u0026plusmn;1.0829\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e125.00\u0026plusmn;5.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e14.73\u0026plusmn;2.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e6.62\u0026plusmn;0.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e9423\u0026plusmn;77\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e\u003cstrong\u003e9\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e7.70\u0026plusmn;0.8812\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e133.33\u0026plusmn;5.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e15.19\u0026plusmn;1.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e7.57\u0026plusmn;0.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e8953\u0026plusmn;64\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e\u003cstrong\u003e10\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e8.03\u0026plusmn;0.6467\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e150.67\u0026plusmn;5.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e13.21\u0026plusmn;1.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e6.23\u0026plusmn;0.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e7389\u0026plusmn;76\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e\u003cstrong\u003eF\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e5.276\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e1.724\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e6.360\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e10.039\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e4.382\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e\u003cstrong\u003eP\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e0.014\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e0.228\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e0.008\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e0.002\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.666666666666668%\"\u003e\n \u003cp\u003e0.024\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eP \u0026lt; 0.05\u0026hellip;*, 0.01\u0026hellip;**, 0.001\u0026hellip;*** ns = non-Significance level.\u003c/p\u003e"},{"header":"4. Discussion","content":"\u003cp\u003e\u003c/p\u003e\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eThere are numerous constraints associated with the growth of economically oriented plants in greenhouses. Each plant variety requires different greenhouse conditions at different developmental stages. The growth and development of different crops in greenhouses are directly influenced by the duration of the growing season and the range of environmental conditions. Short-term light exposure in winter affects the growth and biochemical parameters of plants [\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e, \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e]. The duration of the winter season, the availability of enough quantities of light, CO2, and temperature directly affect the growth and development of different crops in greenhouses.\" In our accidental observation, we observed that plants exhibited varied responses in terms of growth and yield parameters based on their different growing positions and postures in greenhouse. The present study evaluated that the time a plant remained exposed to sunlight mainly influenced the growth rate of tomato plants in greenhouses. Greenhouse growers commonly employ photoperiods ranging from 14 to 17 hours for various vegetables. According to a study, differences in plant height and other growth parameters are the result of an unequal distribution of temperature and light [\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e]. Each plant has an optimum range of day length, light intensity, and light wavelength at which they show maximum growth rate. Beyond this optimal range, the rate of photosynthesis may plateau or decline because the plant cannot effectively utilize the additional light. [\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e]. Extended day length and low light intensity can positively affect the growth rate of tomato plants in glasshouses. [\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e]. In the current study, we observe similar pattern, tomato plant growth rate was much higher at the start of February and March (4.72 and 4.60(cm/day, respectively) when the day length was about 10 h and 11hrespectively, and light intensity was 296.38 (W/m²) and 258.13 (W/m²) respectively. The temperature inside the greenhouse was 21.32 ºC and 25.07 ºC, respectively. These findings are in line with earlier research by Suyanto [\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e], which showed that tomato plants grow more quickly (1.11 cm/day) under 680 nm light than they do under lower wavelength light (480, 550, and 650 nm) at the germination stage. A study reported that the height of tomato plants appears significantly higher under 14-hour photoperiod treatment during the months of the spring season [\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e]. A source declared that a temperature range of 18.1 to 32.2°C is the optimum air temperature value for the growth of tomatoes in a growing season [\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e]. In the winter season, short-term light exposure has an impact on a plant's metabolic processes and growth. A study correlated plant height with high productivity and better biomass calculations [\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e]. According to a research report, the temperature inside a greenhouse without an environment controller exceeds 20–30°C as compared to the outside temperature [\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e]. Similar results have been found in our research-based investigation. The same source reported that temperatures above 26°C may reduce plant growth and suggested that temperatures inside greenhouses should not exceed 30–35°C. The recorded average temperature during the winter season was in the range of 23.85°C to 32.37°C. Consistent with the present results, a study reported plant heights of 198.33 cm and 172.33 cm, respectively, in two cherry tomatoes [\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e]. We found the increase in the total number of leaves remained constant until the last day of observation. A research report addressed an average increase of 3 to 5 leaves per week while evaluating the relation between leaf area and tomato plant vegetative growth [\u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e]. Three to four leaves were found between two consecutive inflorescences. Carbon dioxide and light are key reactants in the process of photosynthesis; they play a crucial role in the growth process. An increased amount of CO2 significantly influenced the height and number of leaves in tomato plants [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]. The number of leaves a plant has determines how effectively it can use sunlight for photosynthesis, which helps the plant increase its productivity and grow efficiently [\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e]. Discussing the growth rate of juvenile and adults’ leaves [\u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e], we declared the difference in rate of photosynthesis as the driving force that caused the variation in growth rate. The source mentioned a high photosynthesis rate in adult leaves as compared to old leaves. According to a study, the photosynthesis rate is modest in very young leaves; it increases to its maximum as leaves grow to full size and drops as leaves get older [\u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e]. Most plants also stop sending nutrients and water to the bottom leaves as new leaves emerge on top. Different biochemical processes that are mainly responsible for the vegetative growth of plants are dependent on the available concentration of CO2, the intensity of light, and the amount of heat energy. The change in greenhouse conditions directly influences the morphological appearance of plants. In the present study, an inconsistent change in leaf growth rate on each observation date was observed.\u003c/p\u003e\u003cp\u003eGreenhouse technology is now in high demand to meet the demand for food around the world. In the present study, tomato varieties showed distinctive productivity behavior in response to greenhouse conditions. It has been reported that elevated concentrations of CO2 combined with high temperature treatment significantly affect the fruit quality, number of fruits and flowers, size and weight of fruits, and yield of fruits of tomato plants [\u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e]. In our current investigation, we found a direct relationship between the height of the plant and the total number of inflorescences. The plants with maximum height appeared to have a greater number of inflorescences as compared to other low-height plants. Similar to the present findings, [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e] reported the rate of truss initiation at approximately one truss per week at an average daytime temperature of 20 ºC. According to [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e], it is the high temperatures that lead to the early initiation of truss along with an increase in fruit volume and size. Temperature also directly influences the number of inflorescences. In the context of the transpiration process, the availability of high-quality water assists in the transfer of essential nutrients from the base to the inflorescence, leaves, and other metabolically active regions. As a result, the reproductive parts develop more quickly and subsequently get longer [\u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e51\u003c/span\u003e]. In view of temperature interaction with productivity, a study reported abnormal and aborted growth of truss with a reduced number of fruits under the temperature of 26 ºC compared to normal growth of truss with a higher number of normal fruits at 25 ºC [\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e]. According to a study's findings, daylight has a direct impact on the number of fruits and inflorescences produced; supplemental light during wintertime will result in higher fruit production [\u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e52\u003c/span\u003e]. Comparing the response of cherry tomatoes to two temperature treatments, low temperature (10 ºC) and control temperature (15 ºC), A study mentioned the low number of fruits produced under low temperatures as compared to the control high temperature [\u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e53\u003c/span\u003e]. The same researchers explained that low temperatures in a greenhouse can cause physiological changes, morphologically abnormal fruits, and flower drops. The number of fruits produced on tomato plants was also influenced by the length of time a plant remained exposed to daylight. A study reported a significant increase in the number of total fruits in plants continuously exposed to light for 5 weeks [\u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e54\u003c/span\u003e]. The increase in the size of fruits in terms of their length and size can be attributed to the cooperative influence of the phosphorus and potassium uptake processes. These elements aid in the production of auxins, which play a pivotal role in elongating cells by enhancing their ability to absorb water and osmotic solutes. [\u003cspan citationid=\"CR55\" class=\"CitationRef\"\u003e55\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eDifferent biochemical processes that are mainly responsible for the vegetative growth of plants are dependent on the available concentration of CO2, the intensity of light, and the amount of heat energy. Different research studies related the quality of vegetables to the interactions of certain greenhouse conditions, such as increased CO2 with light, stress, nutrient concentration, salinity, plant species, cultivars, and growth stages [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e, \u003cspan additionalcitationids=\"CR26 CR27 CR28 CR29 CR30 CR31 CR32 CR33 CR34 CR35 CR36 CR37 CR38 CR39 CR40 CR41 CR42 CR43 CR44 CR45 CR46 CR47 CR48 CR49 CR50 CR51 CR52 CR53 CR54 CR55\" citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e–\u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e56\u003c/span\u003e]. They assessed the response of different vegetables to elevated levels of CO2, and it was observed that the chemical components, such as flavonoids, fructose, glucose, phenols, and soluble sugar, increased due to high CO2 concentration. Elevated CO2 levels cause a decrease in tomato nutrient contents, i.e., nitrates, protein, magnesium, and iron. It has also been reported that increased atmospheric CO2 not only influences the nutritional value but also improves the yield of different vegetables. Previously a study also reported a negative relation between tomato yield and high temperature treatments [\u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e57\u003c/span\u003e]. Light is also a key determinant of plant development and growth, as it is directly linked to the absorption and assimilation of CO2, which is a driving force for the process of photosynthesis [\u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e58\u003c/span\u003e, \u003cspan citationid=\"CR59\" class=\"CitationRef\"\u003e59\u003c/span\u003e]. The dry matter content of tomato fruit is a crucial quality trait with significant implications for its market value. Higher temperatures can lead to increased transpiration and evaporation, causing plants to lose more water. This, in turn, can reduce the dry matter content of the plant since a larger proportion of its weight In contrast to this, in the present study, it was observed that inflorescence fruits developed under low greenhouse temperatures appeared to have low dry matter contents as compared to high-temperature inflorescence fruits. An inverse relationship has also been investigated between average fruit mass and fruit dry matter (%). Fruit dry matter contents also directly affect the number of fruit-keeping days. Inflorescent fruits with high dry matter content survived a higher number of days in their intact form at room temperature. One important measure of tomato quality is firmness, which has a considerable impact. Tomato fruit's cell wall polysaccharide composition and hardness are directly influenced by the fruit's maturity process. In view of their importance as a pollutant and a key biochemical element for human health and the environment, nitrate and nitrites are highly investigated food chemical components.\u003c/p\u003e\u003c/div\u003e\u003cp\u003e\u003c/p\u003e"},{"header":"Conclusions","content":"\u003cp\u003eThe study has investigated the implications of greenhouse microclimate variations on the growth, yield, and nutritional characteristics of cherry tomatoes. Fluctuation in microclimate conditions, specifically daily temperature, and light intensity, significantly influenced plant growth and development. The identified optimal conditions for tomato growth were a temperature range of 18 ºC to 25 ºC, a light intensity of 94.62 to 240.45 W/m2, and carbon dioxide 385.61 ppm to 510.30 ppm. The fruiting performance of inflorescence was high during the months of February and March. The reason behind this is supposed to be the available greenhouse conditions and genetic characteristics of the variety. The study established a profound relationship between the nutritional profile of fruits and both recorded greenhouse conditions and the chronological order of inflorescence development. Inflorescences initiating fruit-setting and ripening processes in February and March appeared with high nutritional content. It is worth noting that the fruits with a substantial dry matter content offer advantageous characteristics, such as enhanced flavor, increased efficiency in processing, improved resilience during transportation, and extended shelf life in storage an increase in the daily average temperature and light to the optimum level was found to positively impact the overall plant growth process. In accidental observation, the positioning of plants within the greenhouse and the duration of sunlight exposure were noted as crucial factors influencing the overall performance of tomato plants in the greenhouse.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAuthor Contributions\u003c/strong\u003e. The following statements should be used \u0026ldquo;Conceptualization, E.M.D., A.A., J.I.O., and B.A ; methodology, E.M.D., A.A., C.S.; software, A.A.,E.M.D.,S.C., \u0026nbsp;B.A.; validation, J.I.O.,A.A., and J.I.O.; formal analysis, A.A.,E.M.D., J.O.I., B.A investigation, A.A.; \u0026nbsp;resources, E.M.D. and J.I.O data curation, A.A.; writing original draft preparation, A.A.; writing review and editing, A.A.,E.M.D.,J.I.O.; visualization, A.A., C.S.; supervision, E.M.D. project administration, J.I.O,; funding acquisition, E.M.D., J.I.O All authors have read and agreed to the published \u0026nbsp;version of the manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgments\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;The authors acknowledge prof. dr. Adrian Asanica, Dean Faculty of Horticulture, prof. dr. Florin Stanica, head of the department of pomology lab at the University of Agriculture and Veterinary Medicine Bucharest, for technical support. We are also grateful to Petre Andrei-Catalin, Frincu Mihai, Mis, Aurora, Mis, Ana Butcaru for laboratory assistance, and Mis, Simona, Mis, Gina, and Mr. Bogdan for greenhouse management.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTomato seeds were bought from a local market in Bucharest, Romania. All the experiments were performed in accordance with relevant guidelines and regulations\u0026quot;.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u0026apos;Not applicable\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data and materials\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll data generated or analyzed during this study are included in this Research article.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that they have no competing interests.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe research leading to these results has received funding from the NO Grants 2014-2021, 574 under Project contract no. 40/2021.\u003cstrong\u003e\u0026nbsp;\u0026emsp;\u003c/strong\u003e\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n \u003cli\u003eShamshiri, Shamshiri, R. 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S., Singh, A., Singh, R. P., Vishen, G. S., \u0026amp; Verma, S. R. K. (2021). Effect of integrated nutrient management on growth, yield and quality of tomato (Solanum lycopersicum L.) var. Kashi amrit. International Journal of Chemical Studies, 9(2), 262\u0026ndash;269. https://doi.org/10.22271/chemi.2021.v9.i2d.11821.\u003c/li\u003e\n \u003cli\u003eGuodaar, L. (2015). Effects of climate variability on tomato crop production in the Offinso North District of Ashanti region (Doctoral dissertation).\u003c/li\u003e\n \u003cli\u003eAbdul-Baki, A. A. (1991). Tolerance of tomato cultivars and selected germplasm to heat stress. Journal of the American Society for Horticultural Science, 116(6), 1113-1116.\u003c/li\u003e\n \u003cli\u003eHeuvelink, E. (1995). Growth, development and yield of a tomato crop: periodic destructive measurements in a greenhouse. Scientia horticulturae, 61(1-2), 77-99.\u003c/li\u003e\n \u003cli\u003eIzzo, L. G., Mele, B. H., Vitale, L., Vitale, E., \u0026amp; Arena, C. (2020). The role of monochromatic red and blue light in tomato early photomorphogenesis and photosynthetic traits. Environmental and Experimental Botany, 179, 104195.\u003c/li\u003e\n \u003cli\u003eLin, L. J., Luther, G. C., \u0026amp; Hanson, P. (2015). Raising healthy tomato seedlings. AVRDC\u0026ndash;The World Vegetable Center publication, 15-795.\u003c/li\u003e\n \u003cli\u003eAlsadon, A. A., Al-Helal, I. M., Ibrahim, A. A., Shady, M. R., \u0026amp; Al-Selwey, W. A. (2018, August). Growth analysis of tomato plants in controlled greenhouses. In XXX International Horticultural Congress IHC2018: III International Symposium on Innovation and New Technologies in Protected 1271 (pp. 177-184).\u003c/li\u003e\n \u003cli\u003eDemers, D. A., Dorais, M., Wien, C. H., \u0026amp; Gosselin, A. (1998). Effects of supplemental light duration on greenhouse tomato (Lycopersicon esculentum Mill.) plants and fruit yields. Scientia Horticulturae, 74(4), 295-306.\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"
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