INTRODUCTION
Tomato (Solanum lycopersicum L.) is an important source of vitamins, fiber and minerals (Naika et al., 2006). The fruits are a significant source of nutrients rich in phytochemicals, which are naturally produced by plants to protect them from viruses, bacteria and fungi. When ingested, they may have anticancer properties. Globally, the tomato crop is notable because of its economic, social importance, and versatility. It is consumed raw or processed as juice, sauce, pasta, and dehydrated (Fontes and Silva, 2005).
In Brazil, tomato crops occupy 65,200 ha. Production in Goiás totaled 1,290,134 t in 2019, with an area of 13,700 cultivated hectares, corresponding to 21% of the country's cultivated area (IBGE, 2020). The State of Goiás is the largest producer of industrial tomatoes in Brazil.
Industrial use requires special fruits produced in low-altitude crops without complex cultural treatments, which reduces production costs. The fruits must have a high resistance to bulk transport, a uniform, intense red color, high soluble solids content, and high citric acid content. Tomato processing industries depend on the quality of the raw material to obtain final product quality (Schwarz et al., 2013).
Proper crop management is necessary for productivity gains and fruit quality with low production costs. Spacing is one of the main techniques in tomato cultivation. The effects of spacing can be observed on light exposure, increasing photosynthetic efficiency. Dense plantings provide a greater overlap and shading of leaves, and consequently a greater competition for light. This causes more energy expenditure (Mueller and Wamser, 2009). Spacing interferes with the crop cycle, making it difficult to control weeds and diseases and reducing fruit quality (Carvalho and Tessarioli Neto, 2005).
Plants produce plant hormones in certain parts and transport them to other parts where specific physiological responses are produced. Some hormones act in the same part where they are synthesized. Hormones are chemical messengers that are able to indicate the developmental status of cells, tissues, or organs. They are produced in various plant parts and are active at very small quantities (Taiz and Zeiger, 2013; Evert et al., 2017). The classes of plant hormones that receive the most attention are abscisic acid, auxins, cytokinins, ethylene, and gibberellins. The nomenclature "growth regulators" includes the natural or synthetic form of hormonal substances or substances that interfere with biosynthesis or hormonal action, which, when applied to plants, influence growth and development (Evert et al., 2017).
Growth regulators are used in agriculture to reduce vegetative growth, promote flowering and fruiting, and regulate the alternation of production (Silva and Fay, 2003). However, the degree of response of regulators varies according to species, cultivar, method of application, and concentration. These compounds include paclobutrazol, which generally provides increased productivity. However, some adverse effects, such as flowering inhibition and reduction of fruiting, have also been reported in the literature. Moreover, such effects vary according to factors such as mode, dose and timing of application, cultivar, climatic conditions, and crop culture (Silva and Faria Junior, 2011).
The use of growth regulators may be an option to obtain more compact plants, which allow for spatial arrangements that can improve yields and reduce the number of disbudding operations. Silva and Faria Junior (2011), working with growth regulators in a tomato crop, observed a decrease in the emergence of lateral buds, as well as a reduction in plant height.
The system of plant conduction may also interfere with results. Plant density, as well as apical pruning height in undetermined growth cultivars, significantly affects the yield and fruit quality of tomato crops. This study aimed to evaluate the effects of using a growth regulator and different spacings on tomato crops grown for industrial processing.
MATERIAL AND METHODS
Characterization of the experimental area
This project was developed at the experimental area of the State University of Goiás, campus Ipameri, located in the municipality of Ipameri, GO. The geographic coordinates are 17°43'04'' S and 48°08'43'' W and the altitude is 794 m.
The climate of the region, according to the Kõppen-Geiger classification (Cardoso et al., 2014), is tropical climate (Aw), consisting of a dry season in winter. The soil of the experimental area is classified as dystrophic Red-Yellow Latosol (Santos et al., 2013). The chemical attributes and particle size analysis were determined before the installation of the experiment according to the methodology proposed by Ribeiro et al. (1999). The chemical attributes at the 0.0-0.20 m layer were 14 mg dm-3 of P (resin), 26 g m-3 of organic matter, pH 5.4 (CaCl2), K, Ca, Mg, H+Al = 3.2, 19.0, 13.0, and 29.0 mmolc dm-3, respectively, and 55% base saturation. The physical attributes were clay: 390 g, silt: 97 g, and sand: 513 g.
Characterization of the experiment
This experiment used completely randomized blocks in a 2x5 factorial arrangement (presence of PBZ and absence of PBZ in seedlings x planting spacing), with four replications and ten plants per plot. The hybrid was N901, with a cycle between 115 and 120 d, used for industrial processing purposes. The color is intense red. It has high soluble solids contents, average mass of 80 g, and resistance to various pests and diseases.
The evaluated spacings were 0.15, 0.20, 0.25, 0.30, and 0.35 m between plants and 1.4 m between rows, corresponding to populations of 47,619; 35,714; 28,714; 23,809 and 20,408 plants/ha, respectively. The plots consisted of four rows, 5 m long each. The two central lines were considered as the useful area, excluding 0.50 m from the ends of each line.
The production of seedlings was carried out in a commercial nursery with infrastructure, support, and specialized technicians. Polypropylene trays containing 450 cells and commercial organic-mineral substrate were used. The crop management and treatments were performed as recommended for the crop. The seedlings were transplanted 35 d after sowing.
The application of paclobutrazol (growth regulator) was carried out in seedlings 15 d after emergence by applying 3.5 mL of the solution per tray at a concentration of 42.5 mg L-1 using a commercial product containing 25% of the active ingredient for the solution.
Phytotechnical evaluations
The following were evaluated: Chlorophyll: indirect reading of chlorophyll content of sunflower leaves using the SPAD index obtained with a portable chlorophyll meter (clorofiLOG, modelo CFL 1030, Falker, Brazil); Final height: average of five plants per plot at harvest time using measuring tape; Final diameter: average of five plants per plot at the time of harvest using a caliper; Plant height growth rate: mean growth rates for plant height were obtained following Benincasa (1988); Stem diameter growth rate: mean growth rates for stem diameter were obtained following Benincasa (1988); Number of flowers: number of flowers of all useful plants of the plot in each treatment; Height of the first inflorescence: the height of the first inflorescence was measured using a graduated ruler; Fruit length: average length of fruits of five plants/plot was measured using a graduated ruler; Fruit diameter: average diameter of fruits of five plants/plot measured with a caliper; and Productivity: average productivity, in kg m-2 per plot, for each treatment, weighed with the aid of digital scale.
Technological evaluation of fruits
The technological quality evaluations were carried out according to the Analytical Standards of the Adolfo Lutz Institute (1985). The following characteristics were evaluated:
Total titratable acidity (TTA): determined with titration using a NaOH solution (0.05N) in 10 mL of pure juice obtained after liquefying at least three fully mature fruits; and Total soluble solids (TSS): determined by transferring a drop of the fruit juice to the prism of an refractometer (Insthutherm, model RTA-50) followed by a reading. The reading was corrected by the temperature conversion table and expressed in °Brix (Chacón-Padilla and Monge-Pérez, 2017). TSS/TTA ratio (Maturation index - MI) was obtained with the ratio between soluble solids content and titratable total acidity; pH: was determined, directly in the ground pulp, using a digital benchtop pHmeter (Akso, model MP511); and Fruit texture: measured on the sides of the fruit using a penetrometer (Insthutherm, model PTR-100).
Statistical analysis
The data were subjected to analysis of variance (F test), and the means of qualitative (presence of PBZ and absence of PBZ) factor were compared with a Tukey test at 5% probability. For the quantitative factor (planting spacing), the means were submitted to polynomial regression fitting. Statistical analyses were performed using Statistical Analysis - SANEST (Zonta et al., 1987).
RESULTS AND DISCUSSION
The variables chlorophyll, final height, final diameter, height of the first inflorescence, number of flowers, growth rate, and stem growth rate had differences in the treatments (Tab. 1). The characteristics were statistically significant for one or more sources of variation, with a significant interaction for the absence or presence of growth regulator and planting spacing (Tab. 1).
Means with different lowercase letters in a column for each studied factor indicate a significant statistical differences according to the Tukey test (P≤0.05). NS = not significant; * = significant at 5% probability. (1) Significant interaction for presence or absence of growth regulator and planting spacing and (2) Significant regression for effects of spacing.
The chlorophyll content of the tomato plants was affected significantly by the application of the growth regulator. The plants subjected to paclobutrazol had a higher chlorophyll content than the plants that did not receive the growth regulator (Tab. 1). These results corroborate those found by Ferreira et al. (2017), who also found higher contents of chlorophyll in plants subjected to applications of paclobutrazol 15 d after transplanting. Paclobutrazol increases photosynthetic rates and, consequently, the chlorophyll content of leaves (Berova and Zlatev, 2000). There was no statistical difference between the different spacings, and there was also no significant interaction between the plant spacings and use of growth regulator (Tab. 1).
For final height and final diameter, there was no significant effect from the use of the growth regulator and planting spacings. The means did not differ statistically. It was observed that there was no significant interaction between the use of the growth regulator and planting spacings. The values for final height and final diameter were between 96.42 and 102.06 cm and 16.06 and 16.30 mm, respectively (Tab. 1). These results differ from those of Muller and Wamser (2009), who observed a linear decrease in plant height with increases in spacing between plants. Silva et al. (2008) reported that the use of paclobutrazol at a concentration of 150 ppm reduced the size of the plants when analyzing the concentrations of 0; 50; 100 and 150 ppm in a tomato crop. Ferreira et al. (2017) verified an increase in stem diameter using paclobutrazol at a concentration of 42.5 mg L-1 at 15 and 30 d after transplantation. Stems with a larger diameter favor the maintenance and sustentation of the plant and production during the crop cycle because of factors such as winds and rains.
For the analysis of the height of insertion of the first inflorescence, there was a significant effect from the use of growth regulator. The means differed statistically. The plants subjected to paclobutrazol had a higher insertion height of the first inflorescence (36.89 cm) than the plants that did not receive the growth regulator (35.19 cm) (Tab. 1). Seleguini et al. (2016) reported that there was a decrease in the height of the first inflorescence when using paclobutrazol at 50 and 100 mg L-1. When evaluating planting spacing and the absence or presence of paclobutrazol, there was a significant interaction only for the spacing in the presence of paclobutrazol. The values fitted a decreasing linear regression (Fig. 1A); as the plant spacing increased, the height of the first inflorescence decreased.
The number of flowers had statistically significant results for the use of growth regulator. The presence of paclobutrazol resulted in a greater number of flowers than the absence of paclobutrazol (Tab. 1). Thus, there was a significant interaction between planting spacing and growth regulator only in the absence of the growth regulator. The data fitted a quadratic regression with a minimum point of 0.22 m spacing (84.18 flowers) (Fig. 1B).
The plant height growth rate had no significant effect between the use of growth regulator and planting spacing. These results differ from those found by Mueller and Wamser (2009), who verified a highly significant linear fit for plant height as a function of spacing between tomato plants. For the analysis of the use of growth regulator, only the stem diameter growth rate had significant results, indicating that the presence of paclobutrazol resulted in a lower stem growth rate (0.203 cm) when compared to values found in the absence thereof (0.211 cm) (Tab. 1). Figueiredo et al. (2015) observed different results when studying the behavior of undetermined tomato plants in the presence of a growth regulator. The authors reported significant effects of the regulator on stem diameter.
Tab. 2 shows the production components of the tomato crop as a function of the presence or absence of paclobutrazol and planting spacing. There was a significant interaction only for maturation index, total fruit acidity, and productivity (Tab. 2).
Means with different lowercase letters in a column for each studied factor indicate a significant statistical differences according to the Tukey test (P≤0.05). NS = not significant; * = significant at 5% probability. (1) Significant interaction for presence or absence of growth regulator and planting spacing, and (2) = Significant regression for effects of spacing.
The variables fruit length and diameter did not present a statistical difference for the presence or absence of the growth regulator. These values differ from those found by Silva and Faria Junior (2011) who observed that an increase in the concentration of a growth regulator determined a linear increase in the percentage of small fruits. Seleguini et al. (2016) also noted that, regardless of the method of application of paclobutrazol, an increase in concentrations increased the production of small fruits. When evaluating planting spacings, there were significantly different results only between the different spacings. There was no significant interaction between plant spacing and use of growth regulator (Tab. 2). The different planting spacings in tomato crops are of great importance since they can interfere with the plant cycle, disease control, and quality and quantity of harvested fruits (Mueller and Wamser, 2009).
The maturation index presented significant results for the use of growth regulator. In the absence of paclobutrazol, there was a higher maturation index (7.71) than in the presence of the growth regulator (7.08), with statistically different means (Tab. 2). These values differ from the results found by Seleguini et al. (2011). In their study, the TSS/TTA ratio was not influenced by PBZ concentrations. By evaluating planting spacing, there was a significant interaction between spacing and use of growth regulator. In the presence of paclobutrazol, the data fitted a quadratic regression with a minimum point of 0.22 m spacing (6.46) (Fig. 2A). In the absence of paclobutrazol, the data also fitted a quadratic regression with a minimum point of 0.26 m spacing (6.51) (Fig. 2B). These values differ from the results found by Ferreira et al. (2017), who did not report influence from different planting spacings on the variable maturation index.
The variables fruit texture and fruit pH presented significant results for the use of the growth regulator; the best results were found with the presence of paclobutrazol (10.84 and 4.50) for fruit texture and pH (respectively) (Tab. 2). However, for planting spacing, there was no significant interaction between planting spacing and the presence or absence of PBZ in the seedlings (Tab. 2). The pH value is very important when the fruit is destined for processing, with a pH below 4.5 being desirable for preventing the proliferation of microorganisms (Monteiro et al. 2008); results within this standard were observed in this study (Tab. 2).
The fruit TSS had significant results only for the use of the growth regulator (Tab. 2). In the absence of paclobutrazol, the fruits had a higher TSS (4.60), differing statistically from the values found in the presence of paclobutrazol (4.42). There was a significant interaction between planting spacing and use of the growth regulator (Tab. 2).
The total fruit acidity also presented significant results for the use of the growth regulator. The total fruit acidity was higher in the presence of paclobutrazol (0.64), differing statistically from the results found in the absence of paclobutrazol (0.60) (Tab. 2). However, when evaluating the planting spacings, there was a significant interaction between the spacings and the use of the growth regulator for the total acidity (Tab. 2). The data fitted a quadratic regression for the presence and absence of paclobutrazol, with maximum points of 0.21 m spacing (0.69) and 0.27 m spacing (0.67), respectively (Fig. 2B).
For productivity, there were significant results. The averages differed statistically for the use of the growth regulator. The crop productivity was higher with the presence of paclobutrazol (92 t) and lower with the absence of paclobutrazol (67 t) (Tab. 2). There was a significant interaction between planting spacing and use of growth regulator. The values in the presence of paclobutrazol fitted a linear regression. The values were between 124 and 58 t. In the absence of paclobutrazol, the values fitted a quadratic regression, with a maximum point of 0.18 m planting spacing (76.48 t ha-1) (Fig. 2C), indicating that, in the absence of the regulators, the increase in the spacing resulted in a decrease in productivity. Hachmann et al. (2014) obtained a higher productivity when plants were planted at a smaller spacing. After comparing the crop conduction of super-dense tomatoes with the traditional density of plants in the 2008/2009 harvest, Wamser et al. (2012) reported a higher productivity in the super-dense tomatoes. Benetti et al. (2018) observed that tomato productivity was significantly modified by different spacings, with the highest productivity obtained when tomato plants were conducted at a 50 cm spacing between plants. Thus, a greater number of plants per area offsets competition between plants in dense planting.
CONCLUSIONS
It was observed that the application of paclobutrazol influenced the phylotechnical characteristics and technological quality of tomato fruits grown for industrial processing. For the planting density, the planting spacing between 0.21 and 0.27 m had better crop development and productivity.