INTRODUCTION
Tomato (Solanum lycopersicum) is one of the most important crops in the world economy, with an annual production of more than 180 million tons (FAO, 2019). Tomato fruit is mainly composed of water, soluble solids (especially sugars) (Beckles, 2012), organic acids (citric and malic), biomolecules such as carotenoids (which impart the characteristic color) and vitamins A and C (Agius et al., 2018; Dumas et al., 2003).
Quality and biochemical composition of fruits mainly depend on the cultivar, agronomic practices, and the stage of maturity of the fruit (Duma et al., 2015). Among agronomic practices, plant nutrition plays a pivotal role in tomato yield and quality (Wang and Xing, 2017). It is important to note that the nutrient requirements of plants vary between developmental stages. In hydroponically grown tomato, application of N and K in the nutrient solution at periods of increased demand during fruit growth promotes optimal nutrition, maximum growth and increased marketable fruit quality (Fandi et al., 2010); however, excessive N fertilization decreases important quality traits such as pH, total soluble solids, soluble sugars, and the content of glucose and fructose, as well as color parameters (Parisi et al., 2006).
Crops grown in protected environments such as greenhouses open the possibility of controlling the supply of water and nutrients (Signore et al., 2016); however, to provide optimal conditions, it is important to use balanced nutrient solutions and different ionic proportions that meet the nutritional requirements of crops (Ramírez et al., 2012); furthermore, in tomato, fruit quality is significantly affected by the position of the fruit in the cluster (Coyago-Cruz et al., 2017); nonetheless, the effects of the contribution of N and K according to the phenological stage of the crop on fruit quality considering its cluster of origin have not yet been fully investigated. Hypothesizing that the supply of primary macronutrients may differently affect fruit quality between clusters, the aim of this study was to evaluate the effect of nitrogen nutrition at the vegetative stage and potassium nutrition at the reproductive stage on fruit quality attributes from different clusters of hydroponically grown round-type tomato Charleston.
MATERIALS AND METHODS
Plant material, treatments and experimental design
The experiment was carried out using 37-day-old seedlings of round-type tomato cv. Charleston, which were grown under hydroponic greenhouse conditions. The crop was established from July to December, with an average photosynthetically active radiation (PAR) of 260 W m-2; a data logger (Hobo®, Cape Cod, Massachusetts, USA) recorded temperatures of 33 to 25 °C maximum and 16 to 8 °C minimum and relative humidity of 98 to 95 % maximum and 42 to 32 % minimum.
The study factors were N and K, with 4 and 5 levels respectively, generating 20 treatments. Treatments were assigned to experimental units under a completely randomized experimental design with six replications using a split plot arrangement. The N factor was established in the whole-plot and K in the split-plot. The experimental unit was a plant established in a 13 L pot, which was filled with inert volcanic gravel, commonly known as ‘tezontle’ (particle diameter ≤ 12 mm).
The levels of the nutrient solution with N (10, 12, 14 and 16 molc m-3) were applied during the first 45 days after transplantation (dat) at the vegetative stage; then the levels of K (5, 7, 9, 11 and 13 molc m-3) were applied from 46 to 170 dat at the reproductive stage of the tomato crop under hydroponic conditions. For the formulation of the tested nutrient solutions, Steiner’s universal nutrient solution (Steiner, 1984) was used as a reference, in which the corresponding NO3 - and K+ concentrations were adjusted, maintaining an osmotic potential of -0.072 MPa and a pH of 6.0 in all concentrations (Table 1). The water used in the experiment was obtained from a deep well located in the area of influence of Colegio de Postgraduados, Campus Montecillo in Mexico (19o 27’ 49.72’’ N, 98o 54’ 19.66’’ W, 2250 masl) and had the following average composition (in mg L-1): S 19.90, K 3.61, Ca 26.61, Mg 30.18, B 0.08, Na 39.48, Fe 0.01, and Zn 0.01, with EC = 0.76 dS m-1 and pH of 7.1.
Concentration (molcm-3) | Concentration of ions (molc m-3) | ||||||
---|---|---|---|---|---|---|---|
NO3- | H2PO4- | SO42- | K+ | Ca2+ | Mg2+ | NH4+ | |
NO3- | |||||||
10 | 7.80 | 1.63 | 11.38 | 6.37 | 8.19 | 3.64 | 2.60 |
12 | 9.10 | 1.39 | 9.73 | 6.02 | 7.74 | 3.44 | 3.03 |
14 | 10.33 | 1.17 | 8.18 | 5.68 | 7.31 | 3.25 | 3.44 |
16 | 11.50 | 0.96 | 6.71 | 5.37 | 6.90 | 3.07 | 3.83 |
K+ | |||||||
5 | 12.41 | 1.03 | 7.24 | 5.17 | 10.74 | 4.77 | ---- |
7 | 12.00 | 1.00 | 7.00 | 7.00 | 9.00 | 4.00 | ---- |
9 | 11.61 | 0.97 | 6.77 | 8.71 | 7.37 | 3.27 | ---- |
11 | 11.25 | 0.94 | 6.56 | 10.31 | 5.84 | 2.60 | ---- |
13 | 10.91 | 0.91 | 6.36 | 11.82 | 4.41 | 1.95 | ---- |
Seedlings were irrigated using Steiner nutrient solution (Steiner, 1984) with N and K concentrations as indicated above, according to the phenological stage. Eight irrigations were applied with a drip irrigation system, a total volume of 1072 mL per day were provided during the first 30 dat; subsequently, 16 irrigation applications of 140 mL each were provided daily until the end of the study (170 dat).
Variables evaluated
The following measurements were made on completely red ripe fruits from three clusters (first, third and fifth) at 110, 131 and 167 dat:
Total soluble solids (TSS)
This variable was determined from three drops of juice obtained from fruits cut longitudinally, the juice was placed in the cell of a digital refractometer (ATAGO PR-100, Honcho, Itabashi-Ku; Tokyo, Japan) with a scale ranging from 0 to 32 %, expressing the TSS value in percentage at 20 °C.
Titratable acidity (TA)
This determination was peformed as described by Boland (1990), using the citric acid value as a correction factor, since it is the organic acid found in highest proportion in tomato fruits (Agius et al., 2018), and therefore, this variable is reported as a percentage of citric acid equivalents. The juice of fruits was extracted with a Turmix juicer (Ocoyoacac, Mexico); then, 5 mL of the juice were taken and three drops of phenolphthalein were added, it was titrated with a sodium hydroxide solution of known normality (NaOH 0.1 N), until reaching a pH value of 8.2; then, the acidity of the juice was calculated with the following equation:
Reducing sugars
The concentration of reducing sugars was determined according to the methods of Nelson (1944) and Somogyi (1952). Based on the extraction of sugars from 1 g of tomato juice obtained with the Turmix juicer and the development of color with Nelson’s reagent and ammonium arseno-molybdate, samples were read at 540 nm in a spectrophotometer (Spectronic 20, Bausch and Lomb; Bridgewater, New Jersey, USA). The amount of sugars expressed in g kg-1 fresh fruit (FF) was calculated taking as reference the calibration curve with D-glucose solutions (Sigma-Aldrich; St. Louis, Missouri, USA) of known concentration.
Color
Values of L, a and b of the CIE L*a*b* color system were obtained with a colorimeter (Hunter Lab D25-PC2; Reston, Virginia, USA) at two opposite points on the equatorial zone of the fruit; subsequently, these values were used to calculate the hue angle with the formula: hue (º) = tan-1 (b/a), while brightness was obtained directly with the colorimeter (McGuire, 1992).
Lycopene
Using the equation proposed by Arias et al. (2000), the concentration of lycopene (in mg kg-1 FF) was calculated indirectly using the a and b values, which are chromaticity coordinates for a* = red/green coordinate and b* = yellow/blue coordinate, obtained in the fruit color measurement described above.
Firmness
Before making the chemical determinations and after measuring the color, the firmness was measured at two opposite points in the equatorial zone of the fruit using a texture analyzer (FDV-30, Greenwich, Connecticut, USA) adapted with an 8 mm diameter conical strut. Two punctures were made in the fruit, and the corresponding values were reported in Newtons of force (N) (San Martín-Hernández et al., 2012).
Yield
The yield, reported in g per plant, was evaluated in the second, fourth and sixth clusters. Tomato plants were grown to four fruits per cluster, with the remaining fruits pruned when the fourth established fruit was between 1 and 2 cm in size.
Statistical analysis
To investigate the relationship between the study factors (N and K) and the response variables, the following model was used, adapted to a completely randomized design with a split-plot arrangement.
Where: Y ijk = response variable for the ijk experimental unit, µ = overall mean, N i = effect of the ith level of N, Ԑ a = experimental error of large plot, K j = effect of the jth level of K, N × K ij = effect of the N × K interaction, Ԑ ijk = random experimental error. Ԑ a ~ NI(0, σa2 ) and Ԑ ijk ~ NI(0, σ2) are assumed to be normal, independent, with zero mean and common variance σ2.
An analysis of variance (ANOVA) was performed and means were compared with the Tukey HSD test (P ≤ 0.05). The verification of the assumptions of the model was performed using the Bartlett’s test, the Shapiro-Wilk normality test and the Durbin-Watson statistic, which were reasonably normal, with homogeneity of variances and independence. All statistical calculations were carried out using the SAS Ver. 9 software.
RESULTS AND DISCUSSION
The N and K concentrations evaluated in the nutrient solution of the hydroponically-grown tomato showed major and significant effects (P ≤ 0.05) on the quality attributes TSS, % TA, reducing sugars, color (hue and brightness), lycopene, firmness and yield of fruits harvested when completely red (i.e. at commercial maturity stage); nonetheless, the effects of N × K interaction on these variables were not significant (Table 2). Furthermore, the fruit quality indices showed differential responses among clusters.
Quality index | Cluster | Source of variation | CV (%) | ||
---|---|---|---|---|---|
N | K | N × K | |||
Total soluble solids | 1st | 0.0043 * | <.0001 * | 0.9798 ns | 8.4 |
3rd | 0.1934 ns | <.0500 * | 0.9992 ns | 10.0 | |
5th | 0.1127 ns | 0.0008 * | 0.9986 ns | 7.9 | |
Titratable acidity | 1st | 0.4071 ns | <.0001 * | 0.7686 ns | 11.2 |
3rd | 0.1917 ns | <.0001 * | 0.3583 ns | 11.4 | |
5th | 0.0083 * | <.0001 * | 0.7905 ns | 12.2 | |
Reducing sugars | 1st | 0.0103 * | 0.0051 * | 0.9687 ns | 14.0 |
3rd | 0.0034 * | <.0001 * | 0.6190 ns | 14.5 | |
5th | 0.3803 ns | <.0001 * | 0.9990 ns | 12.9 | |
Hue | 1st | 0.0123 * | 0.0001 * | 0.5910 ns | 5.5 |
3rd | 0.0125 * | <.0001 * | 0.9267 ns | 6.9 | |
5th | 0.7303 ns | <.0001 * | 0.9974 ns | 6.5 | |
Brightness | 1st | 0.0016 * | 0.0181 * | 0.9084 ns | 4.6 |
3rd | 0.0856 ns | 0.0023 * | 0.9693 ns | 6.0 | |
5th | 0.3303 ns | 0.8399 ns | 0.8616 ns | 5.0 | |
Lycopene | 1st | 0.0138 * | <.0001 * | 0.6458 ns | 7.5 |
3rd | 0.0130 * | 0.0002 * | 0.9050 ns | 8.5 | |
5th | 0.7531 ns | <.0001 * | 0.9989 ns | 7.8 | |
Firmness | 1st | 0.6345 ns | 0.8798 ns | 0.5265 ns | 18.1 |
3rd | 0.6562 ns | 0.7825 ns | 0.9775 ns | 22.2 | |
5th | 0.0199 * | 0.9924 ns | 0.8320 ns | 19.0 | |
Yield | 2nd | 0.4515 ns | 0.0002 * | 0.8908 ns | 10.9 |
4th | 0.6588 ns | 0.0300 * | 0.9990 ns | 11.2 | |
6th | 0.1020 ns | 0.0156 * | 0.6229 ns | 13.4 |
*: statistically significant (P ≤ 0.05), ns: non-significant, CV: coefficient of variation.
Total soluble solids (TSS)
Nitrogen concentrations in the nutrient solution affected the TSS percentage only in fruits of the first cluster, while the effects of K were observed in the three evaluated clusters (Table 2). A negative relationship between the content of TSS and the concentration of N in fruits of the first cluster, since increasing the N concentration in the nutrient solution from 10 to 16 molc m-3, causes a reduction of 9.6 % in this variable (Table 3). Reductions of TSS in tomato due to increased N supply have been previously reported (Parisi et al., 2006); furthermore, by maintaining the same N supply but increasing the water supply from 70 to 90 % of field capacity, reductions of TSS were also observed (Hui et al., 2017). This response can be attributed to a “dilution effect” of TSS, since a higher supply of N and water causes greater growth of the fruit, with the consequent dilution of solids. Desirable values of TSS in tomato fruits are between 4 and 9 % (Duma et al., 2015) for fresh consumption or for the processing industry. In this study, TSS values were within this range.
Source of variation | TSS (%) | TA (% citric acid) | Reducing sugars (g kg-1 FF) | ||||||
---|---|---|---|---|---|---|---|---|---|
1st C | 3rd C | 5th C | 1st C | 3rd C | 5th C | 1st C | 3rd C | 5th C | |
N (molc m-3) | |||||||||
10 | 5.23 a | 6.12 a | 7.29 a | 0.77 a | 0.53 a | 0.57 b | 27.74 b | 36.41 c | 49.02 a |
12 | 4.89 ab | 5.99 a | 6.94 a | 0.73 a | 0.56 a | 0.61 a | 29.21 ab | 39.95 ab | 50.88 a |
14 | 4.82 b | 6.11 a | 7.10 a | 0.78 a | 0.52 a | 0.61 a | 30.89 a | 37.63 bc | 49.95 a |
16 | 4.73 b | 5.82 a | 7.23 a | 0.76 a | 0.54 a | 0.60 a | 30.97 a | 41.03 a | 48.57 a |
HSD | 0.35 | 0.42 | 0.40 | 0.09 | 0.06 | 0.04 | 2.76 | 3.32 | 3.91 |
K (molc m-3) | |||||||||
5 | 4.70 b | 5.73 b | 6.86 b | 0.65 c | 0.486 c | 0.55 c | 27.56 b | 35.49 b | 44.96 c |
7 | 4.77 b | 5.92 ab | 7.02 b | 0.75 b | 0.51 bc | 0.56 bc | 28.7 ab | 35.38 b | 46.90 bc |
9 | 4.85 b | 6.08 ab | 7.06 b | 0.77 b | 0.54 b | 0.60 abc | 29.82 ab | 38.80 ab | 50.57 ab |
11 | 5.00 ab | 6.10 ab | 7.20 ab | 0.80 ab | 0.56 ab | 0.62 ab | 30.41 ab | 41.77 a | 51.60 ab |
13 | 5.27 a | 6.24 a | 7.56 a | 0.84 a | 0.59 a | 0.65 a | 32.02 a | 42.32 a | 53.99 a |
HSD | 0.33 | 0.48 | 0.46 | 0.07 | 0.05 | 0.06 | 3.34 | 4.53 | 5.17 |
Means with different letter in columns are statistically different (Tukey, P ≤ 0.05), FF: fresh fruit, HSD: honestly significant difference.
In general, there is a positive effect of K on TSS (Table 3). Within the TSS content, sugars are the main constituents (65 %) (Beckles, 2012), which have been associated with K in transit from source (i.e. leaves) to sink (i.e. fruits) organs (Engels et al., 2012). The highest TSS contents were recorded in the fruits of the first and fifth clusters with K concentrations in the nutrient solution equal to or greater than 11 molc m-3, while similar responses were obtained in fruits of the third cluster, with K values equal to or greater than 7 molc m-3 (Table 3); however, the TSS tended to increase as the clusters developed (Table 3).
Titratable acidity (TA)
The effects of N on fruit acidity were evident only in the fifth cluster, while K exerted significant effects on the three clusters analyzed (Table 3). The highest acidity was obtained by fruits from the first cluster regardless of the N concentration in the nutrient solution, while the lowest acidity was found in fruits of the third cluster. Incresing N concentrations from 10 to 12 molc m-3 resulted in a 7 % increase in fruit acidity in the fifth cluster, and this increase was maintained at 14 and 16 molc m-3 N (Table 3). Similarly, it has also been reported that increasing N fertilization increases the concentration of organic acids in tomato cv. Jinpeng 10 (Wang and Xing, 2017).
The increase in K in the nutrient solution also gradually increased the acidity of the fruit; consequently, the lowest TA was observed in plants treated with 5 molc K m-3. The largest increases in this attribute with 29 % in the first cluster, followed by 21 % in the third and 18 % in the fifth cluster were related to the increase in K concentration from 5 to 13 molc K m-3 (Table 3); likewise, Caretto et al. (2008) also reported increased TA contents by increasing K in the nutrient solution; however, in this study the values were 14 % higher using similar concentrations of K (i.e. 150 to 450 mg K L-1 corresponding to 3.8 to 11.5 molc m-3). This confirms a positive relationship between the concentration of K in the nutrient solution and the TA of the fruit (Rebouças Neto et al., 2016), which also coincides with an increase in the concentration of citric acid (Çolpan et al., 2013). It is important to highlight that the content of ascorbic acid and citric acid, pH and total soluble solids in the fruits confer significant differences to the tomato flavor (Berrospe-Ochoa et al., 2018).
Reducing sugars
Reducing sugars showed a gradual increase from the first to fifth cluster, although significant effects of N were only observed in fruits from the first and third cluster. Interestingly, the effects of K were observed in the three clusters evaluated (Table 1). Potassium plays a fundamental role in photosynthesis and transpiration and is highly demanded by plants, which significantly affects crop production and productivity (Wang et al., 2015). The increase in N also enhanced reducing sugars (fruits of the first and third cluster), but statistical differences were observed only in plants treated with 10 molc N m-3 when compared to the other treatments (Table 3).
Sugars of the fruit, mainly represented by glucose and fructose (reducing sugars) (Agius et al., 2018), are reported to increase when tomato is fertilized with N at an adequate level (Hui et al., 2017). Similarly, when the K concentration increased from 5 to 13 molc m-3, the reducing sugars increased by 16, 19 and 20 % in fruits of the first, third and fifth cluster, respectively. The maximum concentrations of reducing sugars, 32.0, 42.3 and 54.0 g kg-1 FF from the first to the fifth cluster, were obtained with the highest K concentration (Table 3). There are direct relationships between the content of reducing sugars and the increasing of K in tomato (Almeselmani et al., 2009). In addition to its role in photosynthesis, the increased supply of K promotes the translocation of photoassimilates, mainly as sucrose, to sink organs (Engels et al., 2012) such as the fruit. In the early stages of fruit development, starch accumulates at the expense of sucrose. In the phloem, K is usually transported from older tissues to growing organs such as new leaves and developing fruits (Mengel and Kirkby, 2001). In source tissues, K can stimulate sucrose loading, while its deficiency can lead to sugar accumulation due to reduced starch synthase activity, reduced phloem loading and impaired sucrose export (Zörb et al., 2014). Since K regulates starch metabolism during fruit ripening, accumulation rates of reducing sugars such as fructose and glucose can be observed in tomato fruits (Beckles, 2012). These facts are consistent with the results obtained in this study, since a positive response was observed in reducing sugars concentration, which was proportional to the magnitude of the K provided in the nutrient solution.
Color
Hue
Both N and K affected fruit color (Table 2). In tomato, an increase in N fertilization from 0 to 250 kg ha-1 resulted in delayed fruit maturity and adverse effects on fruit color development (Parisi et al., 2006). These responses fully agree with those detected in this study, since hue in fruits of the first (42.8°) and third (35.8°) clusters was the lowest at the lowest level of N, and increased by 5.6 and 5.9 % when changing the level of N from 10 to 14 and from 10 to 16 molc m-3 respectively. These increases in hue caused by the increase in N are due to the reduced red color in the fruits according to the L*c*h* color space (McGuire, 1992); on the contrary, the increase in K concentration from 5 to 13 molc m-3 induced a reduction of 7, 10 and 11 % in the hue angle compared to the hue in fruits of the first (45.3°), third (38.8°) and fifth (37.0°) clusters, observed with the lowest level of K tested (Table 4). The increasing of K fertilization in field-grown tomatoes improved the value of the hue angle (Hartz et al., 2005), which is in full agreement with the results obtained in this research, since the K treatments increased the reddish hue of fruits.
Source of variation | Hue (°) | Brightness | Lycopene (mg kg-1 FF) | ||||||
---|---|---|---|---|---|---|---|---|---|
1st C | 3rd C | 5th C | 1st C | 3rd C | 5th C | 1st C | 3rd C | 5th C | |
N (molc m-3) | |||||||||
10 | 42.8b | 35.8b | 35.6a | 31.7b | 31.1a | 31.4a | 144.1a | 181.4a | 182.0a |
12 | 43.6ab | 36.0ab | 35.9a | 32.8ab | 31.0a | 31.8a | 140.8ab | 179.7ab | 181.0a |
14 | 45.2a | 37.4ab | 35.3a | 33.5a | 31.8a | 30.9a | 133.9b | 171.4ab | 184.2a |
16 | 43.9ab | 37.9a | 35.1a | 33.7 a | 32.3a | 31.1a | 139.4ab | 169.4b | 185.5a |
HSD | 1.83 | 1.90 | 2.05 | 1.35 | 1.53 | 1.42 | 7.91 | 10.97 | 12.86 |
K (molc m-3) | |||||||||
5 | 45.3a | 38.8a | 37.0a | 32.1b | 30.9b | 31.5a | 133.2c | 164.1b | 174.3c |
7 | 44.7ab | 37.3ab | 36.9a | 32.8ab | 30.8b | 31.2a | 136.0bc | 172.3ab | 174.8c |
9 | 44.2ab | 36.3b | 35.7ab | 33.0ab | 31.3ab | 31.5a | 137.9bc | 178.0a | 181.2bc |
11 | 42.9bc | 36.2b | 34.6bc | 33.0ab | 32.4a | 31.3a | 143.6ab | 178.8a | 188.8ab |
13 | 42.2c | 35.3b | 33.4c | 33.7a | 32.4a | 31.0a | 147.0a | 184.0a | 197.0a |
HSD | 1.94 | 2.03 | 1.85 | 1.22 | 1.52 | 1.27 | 8.48 | 12.03 | 11.51 |
Means with different letter in columns within each fertilizer type are statistically different (Tukey, P ≤ 0.05), FF: fresh fruit, HSD: honestly significant difference.
Brightness
The effects of N on brightness were observed only in fruits of the first cluster, and those of K in the first and third clusters (Table 2). The highest mean for brightness was observed with the highest concentration of N. Similar results were observed in apple fruits when increasing doses of N (from 9 to 105 g per plant) were applied (Wang and Cheng, 2011). Regardless of the K added to the nutrient solution, fruit brightness gradually decreaed in fruits from the first to the fifth cluster; however, when K increased from 5 to 13 molc m-3, the brightness proportionally increased by 5 % from the minimum values recorded in the first and third clusters, with K concentrations ≥ 11 molc m-3 being the most appropriate to increase fruit brightness (Table 4); conversely, when increasing K fertilization from 0 to 800 kg ha-1 in field-grown tomatoes, a 7 % reduction in brightness was observed, while the highest value (44) was observed with the lowest K dose applied (Hartz et al., 2005).
Lycopene
The study factors influenced lycopene concentration in the fruit: N altered the synthesis of this pigment in the first and third clusters, while K, influenced the three clusters (Table 2). As N increased from 10 to 14 molc m-3 in the nutrient solution, lycopene concentrations decreased by 8 and 6 % compared to the maximum values detected in the first and third clusters respectively, both with N at 10 molc m-3 (Table 4).
Results showed that a low N concentration can improve lycopene concentration in tomato. Lycopene decreased from 68 to 38 mg kg-1 in fresh fruits due to increases in N of 1, 12.9 and up to 15.8 molc m-3 (Dumas et al., 2003). On the other hand, when tomato is nourished with increasing K, lycopene concentrations significantly increase. In this experiment, when K concentration increased from 5 to 13 molc m-3, the lycopene concentration increased considerably by 10, 12 and 13 % in the first, third and fifth clusters, respectively (Table 4). The lowest lycopene concentration was observed in plants treated with the lowest K, while the highest concentration was observed with K at 13 molc m-3, in the three clusters evaluated (Table 4). Lycopene content of tomato can increase by 35 % when the concentration of K increases from 8 to 9 molc m-3 (Ramírez et al., 2012). Potassium is involved in the activation of several enzymes, being phytoene synthase and phytoene desaturase those associated with phytoene and phytofluene, both intermediates in the biosynthesis of lycopene (Taber et al., 2008).
Firmness
In fruits of the fifth cluster, firmness was significantly affected by nitrogen supply (Table 1). By increasing the nitrogen supply from 10 to 16 molc m-3, the firmness in fruits of the fifth cluster decreased by 16 % (Table 5). Small increases in the concentration of N during tomato cultivation increase fruit firmness, but when the N supply exceeds 30 molc m-3, this attribute decreases (Frías-Moreno et al., 2020) as observed in this investigation. The nitrogen to calcium ratio (N/Ca) is a crucial factor determining fruit firmness in different plant species (Khalil and Hammoodi, 2021; Torkashvand et al., 2017), while decreases in accumulation of Ca in the fruit result in loss of cellular integrity and reduced firmness (Zhang et al., 2020).
Source of variation | Fruit firmness (N) | Yield (g per cluster) | ||||
---|---|---|---|---|---|---|
1st Cluster | 3rd Cluster | 5th Cluster | 2nd Cluster | 4th Cluster | 6th Cluster | |
N (molc m-3) | ||||||
10 | 3.24a | 2.26a | 2.09a | 1078.44a | 970.36a | 786.16a |
12 | 3.30a | 2.37a | 1.97ab | 1086.41a | 984.20a | 764.70a |
14 | 3.36a | 2.41a | 1.97ab | 1112.48a | 957.56a | 716.01a |
16 | 3.51a | 2.39a | 1.83b | 1111.83a | 979.84a | 718.05a |
HSD | 0.615 | 0.346 | 0.202 | 52.144 | 48.957 | 89.671 |
K (molc m-3) | ||||||
5 | 3.32a | 2.26a | 1.93a | 1035.59c | 930.02b | 694.47b |
7 | 3.32a | 2.33a | 1.98a | 1063.57bc | 968.33ab | 739.93ab |
9 | 3.41a | 2.45a | 1.97a | 1111.09ab | 981.79ab | 758.54ab |
11 | 3.44a | 2.45a | 1.96a | 1148.74a | 1019.30a | 800.63a |
13 | 3.28a | 2.30a | 1.95a | 1134.59ab | 990.64ab | 733.24ab |
HSD | 0.492 | 0.451 | 0.323 | 73.596 | 66.504 | 81.755 |
Means with different letter in columns within each fertilizer type are statistically different (Tukey, P ≤ 0.05); HSD: honestly significant difference.
Yield
The application of N at the vegetative stage and its N × K interaction did not affect fruit yield analyzed in three clusters; instead, the increase in the level of K at the reproductive stage of the crop affected fruit yield in the second, fourth and sixth clusters (Table 1); in fact, positive relationships between K supply and fruit yield have been previously reported (Taber et al., 2008).
Increasing the concentration of K in the nutrient solution from 5 to 13 molc m-3 improved yield, but the maximum increases, with 11, 10 and 15 % were obtained at 11 molc m-3 in fruits of second, fourth and sixth clusters, respectively (Table 5). In an experiment conducted under field conditions, the 125 % K-based soil test application via polysulphate surpassed all the other treatments in terms of growth and yield parameters (Navitha et al., 2019).
Likewise, fruit weight exhibited a similar trend as yield. The highest average weight per fruit, with 287, 255 and 200 g, corresponding to the second, fourth and sixth clusters, were obtained when K was supplied at 11 molc m-3. Potassium plays an important role in the mobilization of carbohydrates from source to sink organs (Engels et al., 2012). Equivalent increases of up to 33 % in fruit weight have been reported when potassium fertilization changed from 0 to 141.1 kg ha-1 in tomato crop (Sultana et al., 2015).
Soluble solids, acidity, color, pigment concentrations, sugars and titratable acidity are the result of interactions of a set of pre-harvest factors; these factors include genetics, environmental elements such as solar radiation, temperature (Gautier et al., 2005), humidity, crop management and fertilization levels (Wang and Xing, 2017), as observed in this study. Regarding plant nutrition, N plays a key role as a constituent of most of the essential organic molecules, such as nucleic acids, purines, amino acids, some vitamins, proteins and enzymes (Beatty et al., 2016), while N deficiency may reduce yield, its excess favors vegetative growth to the point of causing toxic effects (Leghari et al., 2016). In tomato, a high supply of N during cultivation worsens the chemical quality attributes of fruits, including pH, soluble solids content, glucose, fructose and the sugars/total solids ratio (Parisi et al., 2006).
Potassium is an essential element involved in vital physiological and biochemical processes, including plant signaling, osmoregulation, maintenance of cation-anion balance, cytoplasmic pH regulation, enzyme activation and protein and starch synthesis (Rogiers et al., 2017). It is important to know that K is involved in fruit development (Almeselmani et al., 2009) and sucrose accumulation in tomato (Caretto et al., 2008). Although K is not a structural component of plant cells, it is absorbed in large amounts by most crop species, influencing product quality parameters and yield parameters. Fruit quality attributes such as TA, TSS, concentration of citric and malic acids, sugars and carotenoids have been found to be positively associated with increasing K doses, while K deficiencies cause fruits with heterogeneous maturity due to low contents of lycopene (Çolpan et al., 2013; Ramírez et al., 2012; Rebouças Neto et al., 2016). The results reported herein are in full agreement with those aforementioned due to the manipulation of N and K during the vegetative and reproductive stages of tomato, respectively. In addition to the effects attributed to the nutrient management implemented, different trends in each cluster were observed in each cluster, since TSS, reducing sugars and lycopene concentration increased from the first to the fifth cluster (Tables 3 and 4), whereas color attributes such as hue and brightness decreased (Table 4). Titratable acidity showed an irregular response, presenting its maximum value in the first cluster (Table 3).
CONCLUSIONS
The results obtained in this study demonstrate that the cluster on which fruits develop as well as the N and K concentrations supplied significantly affect the quality traits of tomato. Total soluble solids, reducing sugars and lycopene gradually increased from the first to fifth cluster, while yield, color attributes such as hue and brightness tended to decrease as the crop cycle progressed; the citric acid percentage of fruit showed no clear trends. Increasing N from 10 to 16 molc m-3 increased reducing sugars, hue angle, brightness and citric acid percentages, but decreased total soluble solids and lycopene. On the other hand, as K increased from 5 to 13 molc m-3 in the nutrient solution, yield, total soluble solids, reducing sugars, lycopene, brightness and fruit acidity increased, but the hue value decreased.