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Article

Extension of Aquaponic Water Use for NFT Baby-Leaf Production: Mizuna and Rocket Salad

1
Department of Agriculture, Food, Natural Resources, Animals and Environment—University of Padova, Campus of Agripolis, 35122 Legnaro (PD), Italy
2
Institute of Natural Resource Sciences, Campus Grüental, Zurich University of Applied Sciences, 8400 Wädenswil, Switzerland
3
Plant Protection Institute, Hungarian Academy of Sciences, Centre for Agricultural Research, Herman Otto 15, 1022 Budapest, Hungary
4
Faculty of Agricultural Science, Esterhazy Karoly University, Matrai ut 36, 3200 Gyongyos, Hungary
*
Author to whom correspondence should be addressed.
Agronomy 2018, 8(5), 75; https://doi.org/10.3390/agronomy8050075
Submission received: 16 April 2018 / Revised: 8 May 2018 / Accepted: 14 May 2018 / Published: 17 May 2018

Abstract

:
Aquaponics is a recirculating technology that combines aquaculture with hydroponics. It allows nutrients from fish waste to feed plants and thus saves water and nutrients. However, there is a mismatch between the nutrients provided by the fish waste and plant needs. Because of this, some nutrients, notably N, tend to accumulate in the aquaponic water (APW or AP water). The aim of this study was to investigate how APW, which is depleted of P and K but still rich in N, could be further utilized. APW was used in a mesocosm and compared with APW from the same source that had been supplemented with macro-nutrients (complemented AP water or CAPW) and a hydroponic control (HC). Mizuna (M) and rocket salad (R) were used as short-cycle vegetable crops in a NFT system. The results revealed that the low production potential of APW was mainly caused by the lack of P and K. If these were supplemented, the yields were comparable to those in the HC. M yield in CAPW was significantly higher than that of HC, probably due to biostimulant effects connected to the organic components in the water as a result of fish farming. Water type, cultivation density, and intercropping significantly influenced the qualitative characteristics of the crop in terms of antioxidant compounds and minerals. Nitrate content in vegetables was lower than European regulation limits. The extended use of APW is viable if the missing nutrients are supplemented; this could be a strategy to increase the efficiency of water and nitrogen use, while further reducing environmental impact.

1. Introduction

Aquaculture is perceived to have the greatest potential for meeting the growing demand for aquatic food [1]. It is estimated that a minimum of an additional 40 million tons of aquatic food will be required by 2030 to maintain current per capita consumption. Traditional, non-recirculating aquaculture systems require large amounts of high quality water and emit huge amounts of wastewater that is rich in nutrients. Aquaponics (AP), the combined culture of fish and plants in closed recirculating systems [2], is one of the solutions to both of these problems [3,4]. AP has received considerable attention due to its potential to sustain water quality, minimize water exchange, reduce the use of water, and increase the productivity by yielding fresh healthy fish, vegetables, fruits, and herbs [5,6,7].
In aquaponics, the cultivation of plants is performed in different soilless systems that use and recirculate the water from the fish farming [4,8,9]. In a closed loop aquaponics system, all of the water recirculates between the aquaculture and hydroponic parts of the system. In an open-loop (or uncoupled) system, only a portion of the aquaculture water is used for aquaponics and is not recycled back to the fish compartment [10]. The main challenge in closed loop aquaponics is to maintain optimal conditions for fish and plants, since the requirements of both compartments are different.
If the optimum ratio between daily feed input and plant growing area is maintained, the aquaculture effluent provides most of the nutrients required by the plants [11]. However, this ratio depends on many factors and changes over time. Even if there is a mismatch between the water composition requirements of the plants and the fish from the very beginning of cultivation [12], this will not become obvious if there are only a few plants or the cultivation periods are very short. Because there is a mismatch between the nutrients provided by the effluent from the fish compartment and the requirements of the plants, the system will limit plant growth over time (usually as a result of deficiencies in P and/or K) [13]. This causes the remaining N, and other ions, to accumulate in the system water [12], increasing total salinity levels. In this case, it is necessary to either reduce the fish load, which is undesirable, or partially replace the system water. Another option for maintaining a suitable equilibrium in the system would be to introduce a desalination step [14], but this prospect has not yet been tested in practice. The option of removing and replacing some of the recirculation water entails discharging water with high levels of potentially valuable N. Information on further use of this water for growing vegetables is very limited and this could represent the missing opportunity that further increases the efficiency of water and nutrient use.
While different vegetable species, mainly lettuce, water spinach, basil, tomato, and chicory, have been investigated in AP [4,5,15] very few studies have been carried out to evaluate microgreens and baby-leaf production. Consumption of microgreens and baby-leaf is increasing worldwide [16,17,18], and they can provide a substantial proportion of the recommended dietary allowance of a number of healthy compounds (ascorbic acid, thiamin, riboflavin, and a range of minerals) [19]. These products, which are characterized by a very short growth cycle might, therefore, be able to adapt very well to the use of water derived from AP systems. Furthermore, shortly after germination, the young plants can still use some of the nutrients provided in the seed and thus there is a delay before their growth becomes limited.
The aim of this study was to investigate the further utilization of AP system water that is depleted of P and K, but still rich in N. This system water (AP water or APW) was used in an AP mesocosm and compared with water from the same source that was supplemented with macro-nutrients (complemented AP water or CAPW), and a hydroponic control (HC). Mizuna (M) and rocket salad (R) were used as short-cycle vegetables crops in a Nutrient Film Technique (NFT) system.

2. Materials and Methods

2.1. Experiment Set-Up

Experiments were conducted in a foliar-tunnel greenhouse at the Zurich University of Applied Sciences (ZHAW) in 2017. Temperature and light intensity data during the two cultivation cycles are shown in Figure 1. Nine mesocosm systems consisting of one tank each (275 L) and 4 NFT channels for vegetable cultivation (Figure 2) were used for this experiment.
The water (1.65 m3) from an already existing recirculating AP system (150 pangasius fish with an average weight of 300 g each in a tank of 3 m3 and 7.6 m2 planted area with a complete AP water volume of 7 m3) was diverted to operate the mesocosm AP systems. The AP water (APW), which contained almost exclusively nitrate nitrogen, was compared with the following: the same water supplemented with P and K plus meso- and micro-nutrients (CAPW); and a hydroponic control characterized by the same content of nitric nitrogen present in fish water with the same nutrients added as the supplemented fish water (HC). The three nutrient solutions (APW, CAPW, and HC) were compared using a randomized complete block design with three replicates; the nutrient solutions characteristics are summarized in Table 1.
The nutrient solutions were prepared according to the Resh (2012) method for leafy vegetables and the composition was calculated using free HydroBuddy software [20]. The amount of nutrient supplementation needed to reach target values was obtained using Iron DTPA and Multi Micro Mix (Ökohum GmbH, Herrenhof, Switzerland), Krista SOP, and Krista MKP (Yara UK Limited, Grimsby, UK), potassium nitrate (Haifa Chemicals, Ltd., Haifa, Israel), and magnesium sulphates (K + S Kali GmbH, Kassel, Germany). The three nutrient solutions allowed for the evaluation of the effect of nutrient supply in mineral form and/or organic form.

2.2. Plant Material and Samplings

Rocket salad (Eruca vesicaria: R) and mizuna (Brassica rapa L. spp. Nipposinica: M) were grown for two consecutive growth cycles (2 February–3 March 2017; 3 March–30 April 2017). In order to evaluate the suitability of these species for the aquaponics cultivation, different seed densities and intercropping of both plants were tested. The four NFT channels in each system were prepared as follows: high density sowing (3000 plants m−2) for rocket salad (Rhd) and mizuna (Mhd); high density mizuna and rocket salad intercropping (Mihd and Rihd); low density mizuna and rocket salad intercropping (Mild and Rild) resulting in a total of 1500 plants m−2 (Table 2) and obtaining six vegetable treatments.
The seeds were sown using a self-constructed sowing device on a synthetic carpet (80% viscose and 20% polyester—Growfelt, UK) placed in the bottom of the NFT channels and kept moist until germination. After this, the automatic irrigation system was activated for three daily periods of one hour each (9.00–10.00; 12.00–13.00; 16.00–17.00). During the crop cycle, the evapotranspired water was replaced every second day with fresh water and the amount of water added was recorded. Non-destructive plant measurements such as plant height and chlorophyll content values (Chlorophyll meter SPAD-502 Konica Minolta) were performed three times a week. At the end of the baby-leaf growth cycle (plant height equal to 100–120 mm), the total yield and dry matter (65 °C) were determined. In addition, plant samples were taken in order to perform qualitative analyses in triplicate at the laboratories of the University of Padua (Italy).

2.3. Water Quality Monitoring

The nutrient solution was monitored three times a week by measuring pH and electric conductivity (EC) with a portable multi-parameter meter (HQ40d Portable Multi-Parameter Meter, Hach Lange GmbH, Düsseldorf, Germany). Three times a week, the levels of nitrate nitrogen (N-NO3) were determined photometrically (cuvette test LTK339, Hach Lange GmbH, Germany). Samples were taken three times a week during the entire experiment for quantitative determination of Na+, Mg2+, K+, Ca2+, Cl, NO3, PO43−, and SO42− using ion chromatography (930 Compact IC flex).

2.4. Extraction of Phenols for Analysis

Freeze-dried samples of baby-leaf salads (0.2 g) were homogenized in methanol (20 mL) using an Ultra Turrax T25 at 13.500 rpm until a uniform consistency was achieved. Samples were filtered (filter paper, 589 Schleicher) and appropriate aliquots of the extracts were analyzed using the Folin–Ciocalteu (FC) assay for total phenol (TP) content, and ferric reducing antioxidant power (FRAP) assay was used for measuring total antioxidant activity. For each sample, extractions and analyses were performed in triplicate.

2.5. Determining Total Phenols Using the Folin–Ciocalteu Assay

The TP content was determined using the FC assay with gallic acid as a calibration standard in a Shimadzu UV-1800 spectrophotometer (Shimadzu Scientific Instruments Inc., Columbia, MD, USA). The FC assay was carried out by pipetting 200 µL of extract into a 10 mL polypropylene tube. This was followed by the addition of 1 mL of FC reagent. The mixture was vortexed for 30 s, and then 800 µL of filtered 20% sodium carbonate solution was added 1 min later. After a further 8 min, the FC reagent was added. This was recorded as time zero; sodium carbonate was then added and the mixture was vortexed for 30 s. After 2 h at room temperature, the absorbance of the colored reaction product was measured at 765 nm. The content of TP in the extracts was calculated from a standard calibration curve, calculated for different concentrations of gallic acid, ranging from 0 to 600 µg mL−1 (correlation coefficient: R2: 0.9982). The results were expressed as mg of gallic acid equivalent per kg (mg GAE kg−1) of dry matter [21].

2.6. Determining Total Antioxidant Activity Using Ferric Reducing Antioxidant Power

The Ferric Reducing Antioxidant Power (FRAP) reagent was prepared freshly, so that it contained 1 mM 2,4,6-tripyridyl-2-triazine and 2 mM ferric chloride in 0.25 M sodium acetate at pH 3.6 [22]. A 100 µL aliquot of the methanol extract, prepared as described above, was added to 1900 µL of FRAP reagent and thoroughly mixed. After leaving the mixture at 20 °C for 4 min, the absorbance at 593 nm was determined. Calibration was made against a standard curve (0–1200 µg mL−1 ferrous ion) produced by the addition of freshly prepared ammonium ferrous sulfate. FRAP values were calculated in triplicate as mg mL−1 ferrous ion (ferric reducing power) and are presented as mg of Fe2+E (ferrous ion equivalent) kg−1 dw.

2.7. Quantitative Determination of Anions and Cations Using Ion Chromatography (IC)

IC was performed using an ICS-900 ion chromatography system (Dionex Corp., Milan, Italy) equipped with a dual piston pump, a model AS-DV autosampler, an isocratic column at room temperature, a DS5 conductivity detector, an AMMS 300 anion suppressor (4 mm), and a CMMS 300 cation suppressor (4 mm). Chromeleon 6.5 Chromatography Management Software (Dionex Corp., Milan, Italy) was used to control the system and process the data. A Dionex Ion-Pac AS23 (Dionex Corp., Milan, Italy) analytical column (4 mm × 250 mm) and a guard column (4 mm × 50 mm) were used for anion separation, whereas a Dionex IonPac CS12A 23 (Dionex Corp., Milan, Italy) analytical column (4 mm × 250 mm) and a guard column (4 mm × 50 mm) were used for cation separations. The eluent consisted of 4.5 mM sodium carbonate and 0.8 mM sodium bicarbonate at a flow rate of 1 mL min−1 for anions and 20 mM methanesulfonic acid at the same flow rate for cations. Anions and cations were quantified after calibration. Different concentrations of Dionex solutions containing seven anions and five cations were used as standards, and the calibration curves were generated for concentrations ranging from 0.4 mg L−1 to 20 mg L−1 (anions) and from 0.5 mg L−1 to 50 mg L−1 (cations). Cations and anions (UNI EN12014-2) were quantified.

2.8. Statistical Analysis

The data were analyzed using analysis of variance (ANOVA) and in the case of a significant F-value, the means were compared using Tukey’s Honest Significant Difference (HSD) test.

3. Results

From a preliminary ANOVA statistical analysis, it was established that there were no significant differences between the two crop cycles that were carried out in each of the tested systems in terms of almost all of the evaluated parameters (Table 3). The pattern for each examined trait was not affected by growth cycle, therefore, it was considered appropriate to report data from both crop cycles to highlight the effect of the crop cycle on the absolute values for each parameter and not on the individual patterns.

3.1. Nutrient Solutions

Water consumption during both of the crop cycles was higher for HC and CAPW than that of APW. In the HC and CAPW systems, 213 and 218 L water, respectively, had to be replaced during the first cycle, while in the APW system, only 182 L were replaced; the same pattern was recorded during the second cycle, albeit with generally lower values: 182, 177, and 161 L, respectively, for the HC, CAPW, and APW systems.
The pH values during both cycles increased from near neutral values to basic (~9.0) in the final stages of the experiment (Figure 3). There were statistically significant differences between the nutrient solutions, especially in the first phase of the crop cycle. The breakdown threshold was recorded 24 days after seeding (DAS), after which there were no differences in pH values. The pH was consistently the highest in the HC system. The levels of electrical conductivity (EC) decreased in the HC and CAPW systems, in contrast to the APW system, where the EC remained fairly stable during both crop cycles (Figure 3). The APW system had the lowest EC values, close to 800 μS cm−1 in both crop cycles. The HC and CAPW system values exhibited an average EC decrease equal to 22% and 25.5%, respectively, in the 1st and 2nd cycles.
The concentrations of macronutrients changed during the crop cycle, and the data obtained reveal well defined patterns (Figure 4). In the initial phase of the crop cycle, nitrate-nitrogen concentrations were high: 67.8 mg L−1 and 100.1 mg L−1 for the 1st and 2nd cycles, respectively, whereas ammonium-nitrogen concentrations were low, 2.5 mg L−1 and 0.56 mg L−1 for the 1st and 2nd cycles, respectively. NO3-N values gradually decreased during the entire crop cycle, whereas NH4-N fluctuated at a low level, especially in the second half of the first crop cycle. The different nutrient solutions differed statistically after 18 and 15 DAS, respectively, in the 1st and 2nd cycles for NO3-N. The APW system had the highest NO3-N concentrations. The ammonium-nitrogen values were predominantly different in the first phase of the crop cycle, with a breakdown threshold identified after 20 and 15 DAS, respectively, for the 1st and 2nd cycles. Phosphorous concentration was extremely low in the APW nutrient solution, with values lower than 3.26 mg L−1 (Figure 4). It was higher in the HC and CAPW systems, but only in the first phase of both crop cycles (until 22 DAS and 14 DAS for the 1st and 2nd cycles, respectively), then, the values dropped and were comparable to those of the APW system. Finally, K concentration was found to be more or less constant throughout both crop cycles (Figure 4). A slight decrease in K concentration was recorded in the HC and CAPW systems in the final phase of cultivation, and it was very low in the APW system, with values lower than 20 mg L−1, 83.3% lower than target values.
The concentrations of sulphur (S), calcium (Ca), and magnesium (Mg) were influenced by the water treatment and also differed between the crop cycles (Figure 5). In general, the concentration of S, Ca, and Mg fluctuated less in the first cycle than in the second one. The S content ranged from 10.3 to 59.7 mg L−1 in the first cycle, whereas in the second one, especially for CAPW, the values were higher and ranged between 25.4 and 109.8 mg L−1. The Ca content, comparable in both crop cycles, was higher in CAPW, whereas HC differed from APW only during the first part of the crop cycle. Finally, the magnesium content was higher in HC and was statistically different from the other treatments during the middle phases of the first crop cycle; in the second cycle, APW never differentiated from CAPW.

3.2. Vegetables Species

Mizuna (M) and rocket salad (R) are widely produced ready-to-eat baby leaves. When cultivated in soilless production systems, either in monocultures or intercropped, they differ in terms of several productive and qualitative aspects. Mizuna (M) plants were generally higher (Figure 6) and reached heights close to 12 cm in the final phase of both crop cycles; rocket salads reached heights of between 5.5 and 8.0 cm in the first crop cycle, but did not exceed 6 cm in the second cycle. Height was influenced by crop density and intercropping in both cultivation cycles; however, plant density was the most significant parameter in determining the plant height. The type of nutrient solution also affected the plant height, which was higher in the HC and CAPW systems than the APW system. A slight deviation was observed between the two cultivation cycles, represented by the presence of significant differences in plant height in the 2nd cycle between the HC and CAPW systems after 18 DAS, which were not recorded in the 1st cycle. In the APW system, the height of the rocket salads did not exceed 3 cm.
Intercropping of M and R did not markedly affect the chlorophyll content (Figure 7). However, the effect of the nutritional solution was significant. Plants in the HC and CAPW systems always exhibited higher values than those grown in APW.
The production potential of the two vegetables differed, with M delivering consistently higher yields than R (Figure 8). The nutritive solution also strongly influenced crop yield, with higher yields being delivered by the CAPW system; the latter water treatment exerted a significant difference with HC only in the second crop cycle (Figure 8). The APW system was characterized by yields lower than 0.5 kg m−2.
The effect of the vegetable treatment was significant (Figure 9) for both growth cycles, highlighting the different potential production capacities of the species. In the first crop cycle, the CAPW system M yield was always higher than that of the HC system. However, the R yield from the HC system proved to be significantly higher than that of the CAPW system. In the second crop cycle, a similar trend was observed, although the Mild values from the HC system were slightly higher than those of the CAPW system.
The dry matter content of the leaves was affected by the vegetable species, the crop density, and the nutrient solution (Figure 10), with R generally having a higher dry matter content than M. Furthermore, the higher R plant density without intercropping resulted in the highest dry matter content (>16%). The highest dry matter percentage in both cultivation cycles was found in plants grown in the CAPW system, with values higher than 14%.
The levels of total antioxidant capacity (AOC), total polyphenols (TP), and vitamin C were generally higher in the first cycle than in the second one. The AOC values were significantly higher in plants grown in the APW and HC systems than of those in the CAPW systems for both cultivation cycles (Table 4). A similar trend was observed for the TP values, while the vitamin C concentration was highest in the plants grown in the APW system. In terms of the vegetable treatments, the AOC values were higher in Rhd than Mhd in the first cycle. Furthermore, the intercropped treatments also delivered different results: in the case of R, intercropping reduced AOC, whereas the opposite was observed for M. Lower TP contents were recorded in both Mhd cultivation cycles, whereas higher TP contents were observed in the R treatments, with no significant effects due to crop density. Finally, the vitamin C content was significantly higher in the R treatments, especially for Rhd and Rihd. The concentration of vitamin C in M was stable in all of the treatments and not significantly influenced by crop density.
The mineral composition of the cultivated species was comparable in both growth cycles (Table 5 and Table 6). Generally, the concentration of ions detected in the second cycle was slightly higher than those of the first cycle, with the exception of the NO3 content. This parameter was on average lower than 8.7% and 25.9%, respectively, for nutrient solutions and vegetable treatments. Nutrient solutions heavily influenced the ion concentration in the plant, especially in the case of the APW system. The APW treatment resulted in a significant increase in the remaining ions, with the exception of PO43− and K+. For the APW system, it was possible to observe an average Ca difference in the first and second cycles of 70.3% and 73.3% compared to the HC and CAPW systems, respectively. NH4+ absorption was also significantly higher in the first and second cycles in the APW system by 82.1% and 83.7% compared to the HC and CAPW system averages respectively. Na+ and Cl were also readily absorbed in the APW system plants. The content of PO43− and K+ was statistically higher in the HC and CAPW systems compared to that of APW. In terms of the vegetable treatments, the highest concentration of almost all the nutrients was observed in Mhd. In the first cycle, high Cl and NO2 contents were recorded in Rihd and a high SO42− content was observed in Mihd. In the second cycle, Rihd resulted in a high PO43− content (9554 mg kg−1 dw); Mihd and Mild were characterized by a high NH4+ content above 1200 mg kg−1 dw.

4. Discussion

4.1. Water Quality

Water quality significantly influenced the vegetable yield in both crop cycles. The higher water consumption in the HC and CAPW treatments can be related to better plant development in comparison to the plants in the APW treatment. Better growth was linked to the greater leaf surface area, and thus to an increase in evapotranspiration [4]. Better plant development was due to the availability and balance of nutrients that strongly influenced the entire crop cycle. Unbalanced nutrients in the APW treatment negatively influenced the uptake of other nutrient as described in Bindraban et al. [23] who reported that antagonism among nutrient elements often occurs when the ratios of elements are unbalanced. In both crop cycles, each nutrient was characterized by the same specific pattern (i.e., NO3-N, NH4-N, P, K) although their absolute water concentration was different between growth cycles. As a consequence, each nutrient pattern can provide useful information that can be transferred from one crop cycle to another one. The N-NO3 concentration in the nutrient solution was suitable for the cultivation of the studied species. The N-NO3 requirement was low in the first two weeks and then increased exponentially during the middle and final parts of the cycle, with the greatest absorption seen in the plants grown in the CAPW treatment. The exponential increase in nutrient uptake during the crop cycle confirm what has already been reported by Silberbush and Ben-Asher [24], whereas new interesting perspectives can be derived from the higher nutrient absorption capacity exhibited by the plants grown in the CAPW treatment. The latter result reveals a possible biostimulant power of aquaponic effluents. Although the aim of this study was not to ascertain which mechanism or compound exerts the type of biostimulant effect described by Delaide et al. [25], we can speculate that certain microorganisms and dissolved organic matter (DOM) could play important roles. Taking into account the experimental conditions (cultivation was not within the AP system, but separate) we can postulate that the effect of DOM might have been greater than the effect of microorganisms. This is supported by Canellas et al. [26], who reported that humic and fulvic acids have an effect on plant primary and secondary metabolism, and humic substances in particular enhance root growth, nutrient uptake, and crop tolerance to environmental stresses. The presence of N-NH4 in the water derived from the AP system was very low, showing the system performed well when nitrogen was transformed by biological nitrification and denitrification, and was assimilated by plants in the form of nitrate (NO3) and ammonium (NH4+) [5,27]. The P content of the water in the APW system was not enough for vegetable production in soilless systems. This result was also obtained in other experiments and shows the need for nutrient supplementation (especially P and K) in order to meet the main nutritional needs of the crops [28,29,30,31]. The addition of K and P can be considered an indispensable condition for obtaining suitable production levels. This sentence is also confirmed by recent aquaponic studies which state that the majority (>50%) of nutrients that sustain the optimal plant growth are derived from waste originating from feeding aquatic organisms [13]. As a matter of fact, the AP water is generally unbalanced in favor of the nitrogenous compounds, causing unbalanced conditions for the plant. This requirement, already marked for leafy species, is even more stringent for fruit vegetables, as tomatoes require high quantities of P and K to complete fruit production and development. Higher fluctuations in the S, Ca, and Mg levels were observed in biomass from the 2nd cycle compared to the 1st one. This result could be due to the different climatic conditions experienced by the plants during the 2nd growth cycle (more irradiance and higher air temperatures) that can greatly affect the nutrient uptake of the crop. This is in agreement with the findings reported in soilless culture by Urrestarazu et al. [32] in two cucurbit crops and by Amalfitano et al. [33] in “Friariello” pepper.

4.2. Vegetable Species

The cultivated species have different production potentials in relation to both the cultivation system and the type of water used. Mizuna was most suitable for the cultivation offered conditions. The rusticity of this model species has also been highlighted in other studies [34]. Mizuna had a much higher yield than rocket salad, which is mainly linked to the greater capacity of M to develop a strong root system that is able to expand throughout the cultivation carpet. R never reached the root growth levels of M, perhaps revealing some limitations in NFT cultivation, despite having already been used in other studies [9]. From a production point of view, the response patterns of the different treatments did not differ between the cultivation cycles. However, there was a significant difference in absolute yield values, which were higher in the second cycle, mainly due to the more suitable climatic conditions (irradiance and temperature). The yield data recorded for M in the HC and CAPW systems were lower than those recorded by D’Imperio et al. [35], who identified production yields close to 4.2 kg m−2. The R productivity was very poor and 75% lower than that produced in other studies [36,37]. In terms of the interaction between the vegetable treatments and the nutrient solutions, both cultivation cycles in the HC and CAPW systems produced substantially similar yields with an increase in favor of CAPW. This result is probably linked to the biostimulant activity of the organic fraction released by the fish into the water [25]. This result is also confirmed by the chlorophyll content (SPAD values) readings that clearly highlight the best nutritional conditions in the HC and CAPW systems, whose values were in line with those verified by Colonna et al. [19] for the same species cultivated in optimal conditions. It is interesting to note that in both cultivation cycles, the chlorophyll content was higher in the CAPW system than in the HC system. This result confirms the previously highlighted fact about the greater absorption capacity of the CAPW plants.
The cultivation method and the water type used also significantly affected the quality of the crops. Significant increases in total antioxidant capacity and total polyphenols were observed from the HC and APW systems. This result can be justified by the more stressful conditions that the plants were exposed to during the crop cycle in the APW system. A possible stressful situation that might have arisen in the APW system in particular might be connected to the unbalanced presence of nutrients that could not guarantee an adequate nutrient supply to the plants [28,29,30,31]. The lower values of antioxidants and total phenols found in the CAPW could be traced to better nutritional values in the crop, which is also confirmed by other production (marketable biomass) and nutritional (chlorophyll content) parameters. The antioxidant values measured in both species are in agreement with the findings of Martínez-Sánchez et al. [38], who did not see significant differences between rocket and mizuna. In terms of the concentration of vitamin C, there were significant differences, especially in the plants grown in the APW system; this further demonstrates the stressful conditions experienced by the plants. The species intercropping (especially for M) clearly highlighted a significant increase in antioxidant compounds. This result is linked to the greater competition between the plants and to the probable effects of radical allelopathy between the two crops. Similar results have also been found for other intercropped vegetables (e.g., red chicory lettuce) grown in aquaponics systems, as reported by Maucieri et al. [39]. The intercropping also had significant effects on vitamin C concentrations of R. Species intercropping in particular led to a decrease in the vitamin C content, as described by other studies carried out with other species (tomato-garlic) in soil cultivation systems [40]. Finally, in terms of the mineral compound content in the plants, the APW treatment resulted in significantly higher concentrations of Cl, NO2, NO3, SO42−, Na+, NH4+, Mg2+, and Ca2+ compared to those concentrations in the HC and CAPW systems. These results were observed in both crop cycles, demonstrating the nutritional imbalance present in the APW. The remarkable NO3 content in the APW system plants was evident; on average, 88.8% and 95.2% higher than the plants from the HC and CAPW systems, respectively. This result can be justified by the reduced presence of other macronutrients [28,29,30,31]. The NO3 values were on average higher in M, however, the values did not exceed the limits set by European Regulation no. 1258/2011 for certain leafy vegetables (lettuce, spinach, and rocket salad). Although the results from the different crop cycles were similar, a general reduction in the NO3 content was observed in the second crop cycle. This outcome is linked to variations in environmental conditions in terms of light intensity. On average, April is characterized by higher light intensity than March, which influenced the nitrate-reductase enzyme activity, reducing the NO3content, as shown in several studies [41,42,43,44]. This result is backed up by the results from a study investigating Lactuca sativa (L.) var. acephala cultivated in a floating system [45]. The same authors reported that in the presence of low soluble nutrient concentrations (2 mequiv. L−1) and low electrical conductivity (0.3 dS m−1), the NO3content in the summer cycle was lower than in spring. However, this effect was not observed for higher soluble nutrient concentrations. It is also possible that high Ca absorption by plants cultivated in APW contributed to a reduction in potassium uptake due to the well-known antagonistic effect between the two elements [46].

5. Conclusions

The experimental evidence recorded during this experience highlighted the fact that the low production potential of APW is heavily influenced by the substantial absence of P and K. Supplementing water with these elements made it possible to obtain results that were comparable to the hydroponic control. In the case of mizuna, the yield values obtained in CAPW were significantly higher than those from the HC, probably due to biostimulant effects connected to the presence of organic and microbial components from fish farming. In terms of crop choice, mizuna delivered better productive results than did the rocket salad, adapting well to the NFT cultivation system. From a qualitative point of view, the water type, cultivation density, and intercropping significantly influenced the qualitative characteristics for both antioxidant compounds and mineral profile. Therefore, it is possible to state that the extension of aquaponic water utilization for NFT of baby-leaf production is a viable method if the missing nutrients are supplemented; moreover, this method improves the water use and the nitrogen use efficiency of fish farming, further limiting its environmental impact.

Author Contributions

C.N. C.M., and R.J. conceived and designed the experiments; C.N. and Z.S. performed the experiments; C.N. and C.M. analyzed the data; R.J. and P.S. contributed reagents/materials/analysis tools; C.N., C.M., Z.S., T.K., A.M., and R.J. wrote the paper.

Acknowledgments

This research was supported by COST Action FA1305 “The EU Aquaponics Hub; Realising Sustainable Integrated Fish and Vegetable Production for the EU”. Carlo Nicoletto’s work was supported by a COST-STSM-ECOST-STSM-FA1305-011016-080268 grant and by the Department of Agronomy, Food, Natural resources, Animals and Environment (DAFNAE)—University of Padova. We thank Darren Mace for language corrections.

Conflicts of Interest

The authors declare no conflict of interest.

References

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Figure 1. Meteorological conditions recorded during two growth cycles: temperature (A) and irradiance values (B) obtained from Zurich University of Applied Sciences (ZHAW) meteorological station.
Figure 1. Meteorological conditions recorded during two growth cycles: temperature (A) and irradiance values (B) obtained from Zurich University of Applied Sciences (ZHAW) meteorological station.
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Figure 2. Overview of the experimental design (a) and a single cultivation mesocosms (b).
Figure 2. Overview of the experimental design (a) and a single cultivation mesocosms (b).
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Figure 3. Effect of water treatment on pH and electric conductivity (EC) in both growth cycles. Values with different letters on the same day after sowing (DAS) are significantly different with p < 0.05, based on Tukey HSD Test. HC: hydroponic control; APW: aquaponic water; CAPW: complemented aquaponic water.
Figure 3. Effect of water treatment on pH and electric conductivity (EC) in both growth cycles. Values with different letters on the same day after sowing (DAS) are significantly different with p < 0.05, based on Tukey HSD Test. HC: hydroponic control; APW: aquaponic water; CAPW: complemented aquaponic water.
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Figure 4. Effect of water treatment on nitrogen, phosphorus, and potassium concentrations during both growth cycles. Different letters on the same DAS indicate significant differences with p < 0.05, based on Tukey HSD Test. HC: hydroponic control; APW: aquaponic water; CAPW: complemented fish water.
Figure 4. Effect of water treatment on nitrogen, phosphorus, and potassium concentrations during both growth cycles. Different letters on the same DAS indicate significant differences with p < 0.05, based on Tukey HSD Test. HC: hydroponic control; APW: aquaponic water; CAPW: complemented fish water.
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Figure 5. Effect of water treatment on sulphur, calcium, and magnesium concentrations during the growth cycles. Different letters on the same DAS indicate significant differences, with p < 0.05, based on Tukey HSD Test. HC: hydroponic control; APW: aquaponic water; CAPW: complemented aquaponic water.
Figure 5. Effect of water treatment on sulphur, calcium, and magnesium concentrations during the growth cycles. Different letters on the same DAS indicate significant differences, with p < 0.05, based on Tukey HSD Test. HC: hydroponic control; APW: aquaponic water; CAPW: complemented aquaponic water.
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Figure 6. Effect of vegetable species and water treatment on plant height over two growth cycles. Mhd: mizuna high density; Mihd: mizuna intercropped high density; Mild: Mizuna intercropped low density; Rhd: rocket salad high density; Rihd: rocket salad intercropped high density; Rild: rocket salad low density; HC: hydroponic control; APW: aquaponic water; CAPW: complemented aquaponic water. Different letters on the same DAS indicate significant differences, with p < 0.05, based on Tukey HSD Test.
Figure 6. Effect of vegetable species and water treatment on plant height over two growth cycles. Mhd: mizuna high density; Mihd: mizuna intercropped high density; Mild: Mizuna intercropped low density; Rhd: rocket salad high density; Rihd: rocket salad intercropped high density; Rild: rocket salad low density; HC: hydroponic control; APW: aquaponic water; CAPW: complemented aquaponic water. Different letters on the same DAS indicate significant differences, with p < 0.05, based on Tukey HSD Test.
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Figure 7. Effect of vegetable species and water treatment on chlorophyll content values over two growth cycles. Mhd: mizuna high density; Mihd: mizuna intercropped high density; Mild: Mizuna intercropped low density; Rhd: rocket salad high density; Rihd: rocket salad intercropped high density; Rild: rocket salad low density; HC: hydroponic control; APW: aquaponic water; CAPW: complemented aquaponic water. Different letters on the same DAS indicate significant differences, with p < 0.05, based on Tukey HSD Test.
Figure 7. Effect of vegetable species and water treatment on chlorophyll content values over two growth cycles. Mhd: mizuna high density; Mihd: mizuna intercropped high density; Mild: Mizuna intercropped low density; Rhd: rocket salad high density; Rihd: rocket salad intercropped high density; Rild: rocket salad low density; HC: hydroponic control; APW: aquaponic water; CAPW: complemented aquaponic water. Different letters on the same DAS indicate significant differences, with p < 0.05, based on Tukey HSD Test.
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Figure 8. Effect of vegetable treatments and nutrient solutions on yields from two growth cycles. Mhd: mizuna high density; Mihd: mizuna intercropped high density; Mild: Mizuna intercropped low density; Rhd: rocket salad high density; Rihd: rocket salad intercropped high density; Rild: rocket salad low density; HC: hydroponic control; APW: aquaponic water; CAPW: complemented aquaponic water. Different letters on the same DAS indicate significant differences, with p < 0.05, based on Tukey HSD Test.
Figure 8. Effect of vegetable treatments and nutrient solutions on yields from two growth cycles. Mhd: mizuna high density; Mihd: mizuna intercropped high density; Mild: Mizuna intercropped low density; Rhd: rocket salad high density; Rihd: rocket salad intercropped high density; Rild: rocket salad low density; HC: hydroponic control; APW: aquaponic water; CAPW: complemented aquaponic water. Different letters on the same DAS indicate significant differences, with p < 0.05, based on Tukey HSD Test.
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Figure 9. Effect of vegetable treatments and nutrient solutions on yields from two growth cycles. Mhd: mizuna high density; Mihd: mizuna intercropped high density; Mild: Mizuna intercropped low density; Rhd: rocket salad high density; Rihd: rocket salad intercropped high density; Rild: rocket salad low density; HC: hydroponic control; APW: aquaponic water; CAPW: complemented aquaponic water.
Figure 9. Effect of vegetable treatments and nutrient solutions on yields from two growth cycles. Mhd: mizuna high density; Mihd: mizuna intercropped high density; Mild: Mizuna intercropped low density; Rhd: rocket salad high density; Rihd: rocket salad intercropped high density; Rild: rocket salad low density; HC: hydroponic control; APW: aquaponic water; CAPW: complemented aquaponic water.
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Figure 10. Effect of vegetable treatments and nutrient solutions on dry matter percentage for two growth cycles. Mhd: mizuna high density; Mihd: mizuna intercropped high density; Mild: Mizuna intercropped low density; Rhd: rocket salad high density; Rihd: rocket salad intercropped high density; Rild: rocket salad low density; HC: hydroponic control; APW: aquaponic water; CAPW: complemented aquaponic water. Different letters on the same DAS indicate significant differences, with p < 0.05, based on Tukey HSD Test.
Figure 10. Effect of vegetable treatments and nutrient solutions on dry matter percentage for two growth cycles. Mhd: mizuna high density; Mihd: mizuna intercropped high density; Mild: Mizuna intercropped low density; Rhd: rocket salad high density; Rihd: rocket salad intercropped high density; Rild: rocket salad low density; HC: hydroponic control; APW: aquaponic water; CAPW: complemented aquaponic water. Different letters on the same DAS indicate significant differences, with p < 0.05, based on Tukey HSD Test.
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Table 1. Chemical composition of the nutrient solutions in the experiment (target values). CAPW: complemented aquaponic water; APW: aquaponic water; HC: hydroponic control; EC: electric conductivity.
Table 1. Chemical composition of the nutrient solutions in the experiment (target values). CAPW: complemented aquaponic water; APW: aquaponic water; HC: hydroponic control; EC: electric conductivity.
Nutrient SolutionN-NH4N-NO2N-NO3KP-PO43CaS-SO42−MgpHEC
(mg L−1) (µS cm−1)
HC0065120256623.4207.871718
APW0.0750.02363.50.0781.556627.6217.79824
CAPW0.0750.02363.5120256623.4207.131680
Table 2. Vegetable treatments and their abbreviations.
Table 2. Vegetable treatments and their abbreviations.
Vegetable TreatmentsPlant DensityAbbreviation
Mizuna high density3000 plants m−2Mhd
Rocket salad high densityRhd
Intercropping high densityMihd
Rihd
Intercropping low density1500 plants m−2Mild
Rild
Table 3. Statistical analysis (ANOVA) overview of the two growth cycles, comparing water and vegetables traits.
Table 3. Statistical analysis (ANOVA) overview of the two growth cycles, comparing water and vegetables traits.
TreatmentsParameters1st Cycle2nd Cyclep ValueInteraction
Cycle × Water Treatment
Interaction
Cycle × Vegetable Treatment
waterpHnsns0.1928nsns
ECnsns0.3516nsns
NO3-Nnsns0.2968nsns
NH4-Nnsns0.3862nsns
pHnsns0.2549nsns
Knsns0.4851nsns
Snsns0.4118nsns
Cansns0.3972nsns
Mgnsns0.3319nsns
plant heightnsns0.4528nsns
chlorophyll contentnsns0.2516nsns
yieldba0.0018nsns
dry matternsns0.1497nsns
antiox compoundsnsns0.2637nsns
ions concentrationnsns0.3794nsns
vegetablesplant heightnsns0.2153nsns
chlorophyll contentnsns0.1845nsns
yieldba0.0028nsns
dry matternsns0.1738nsns
antiox compoundsab0.0037nsns
ions concentrationab0.0012nsns
Values with different letters are significantly different with p < 0.05 based on a Tukey Honest Significant Difference (HSD) test. ns: not significant.
Table 4. Effect of water and vegetable treatments on antioxidant components concentration.
Table 4. Effect of water and vegetable treatments on antioxidant components concentration.
Antioxidant Capacity (g Fe2+E kg−1 dw)Total Phenols (g GAE kg−1 dw)Vitamin C (g kg−1 dw)
1 Cycle2 Cycle1 Cycle2 Cycle1 Cycle2 Cycle
Nutrient solutions
HC50.4 ± 1.3 a45.2 ± 4.7 a5.12 ± 0.98 a4.90 ± 0.48 a3.31 ± 0.12 b3.13 ± 0.14 b
APW49.6 ± 4.6 a46.2 ± 2.9 a5.93 ± 0.76 a5.55 ± 0.57 a4.15 ± 0.18 a3.84 ± 0.16 a
CAPW39.0 ± 5.4 b35.6 ± 3.3 b4.34 ± 0.59 b4.20 ± 0.43 b3.69 ± 0.13 b3.25 ± 0.12 b
Vegetable treatments
Mhd35.7 ± 3.2 c32.0 ± 4.5 b3.75 ± 0.27 c3.46 ± 0.22 b3.40 ± 0.17 c2.82 ± 0.09 c
Mihd46.9 ± 1.6 a40.9 ± 2.2 a5.53 ± 0.36 ab4.57 ± 0.19 a3.35 ± 0.09 c2.53 ± 0.15 c
Mild44.9 ± 2.5 a41.4 ± 3.5 a4.82 ± 0.49 b4.14 ± 0.31 ab3.24 ± 0.15 c2.38 ± 0.13 c
Rhd49.8 ± 3.2 a38.8 ± 3.0 ab5.92 ± 0.83 a4.84 ± 0.51 a5.37 ± 0.18 a3.76 ± 0.28 a
Rihd47.9 ± 2.8 a35.2 ± 2.3 b6.26 ± 0.61 a4.65 ± 0.12 a4.80 ± 0.10 b3.44 ± 0.21 b
Rild41.4 ± 2.4 b33.3 ± 3.2 b6.20 ± 0.27 a4.47 ± 0.11 a3.43 ± 0.08 c2.37 ± 0.16 c
WxVNsnsnsnsnsns
Mhd: mizuna high density; Mihd: mizuna intercropped high density; Mild: Mizuna intercropped low density; Rhd: rocket salad high density; Rihd: rocket salad intercropped high density; Rild: rocket salad low density; HC: hydroponic control; APW: aquaponic water; CAPW: complemented aquaponic water. Different letters on the same DAS indicate significant differences, with p < 0.05, based on Tukey HSD Test.
Table 5. First growth cycle: Effect of water and vegetable treatments on the ion concentrations.
Table 5. First growth cycle: Effect of water and vegetable treatments on the ion concentrations.
ClNO2NO3PO43−SO42−Na+NH4+K+Mg2+Ca2+
(mg kg−1 dw)
Nutrient solutions
HC2985 b7.24 b4214 b7664 a9539 b1914 b327 b35,094 a6598 b12,136 b
APW5473 a130 a37,753 a4808 b31,774 a4336 a1821 a11,999 c8010 a46,363 a
CAPW3572 b145 a1819 b7998 a9468 b1961 b324 b24,719 b4662 c12,657 b
Vegetables treatments
Mhd4647 a40.2 b26,576 a632622,740 a3291 a89628,039 a498222,044
Mihd3402 b30.7 b20,440 ab592220,126 a2604 b94423,529 ab494520,908
Mild3218 b43.0 b22,008 ab489917,278 ab2732 b79520,497 bc510821,949
Rhd3950 ab200 a12,704 b47977232 c2503 b84616,649 c485021,911
Rihd4536 a101 a8893 b670810,573 bc2517 b69725,132 ab564222,249
Rild3987 ab207 a13,387 b51269211 c2319 b68320,029 bc555825,638
WxV*ns*****nsnsns
Mhd: mizuna high density; Mihd: mizuna intercropped high density; Mild: Mizuna intercropped low density; Rhd: rocket salad high density; Rihd: rocket salad intercropped high density; Rild: rocket salad low density; HC: hydroponic control; APW: aquaponic water; CAPW: complemented aquaponic water. Different letters on the same DAS indicate significant differences, with p < 0.05, based on Tukey HSD Test.
Table 6. Second growth cycle: Concentration of ions in the leaf biomass of rocket (R) and mizuna (M) when grown in different nutrient solutions (hydroponic, aquaponic water, complemented aquaponic water) and in different cultivation conditions (densities, intercropping).
Table 6. Second growth cycle: Concentration of ions in the leaf biomass of rocket (R) and mizuna (M) when grown in different nutrient solutions (hydroponic, aquaponic water, complemented aquaponic water) and in different cultivation conditions (densities, intercropping).
ClNO2NO3PO43−SO42−Na+NH4+K+Mg2+Ca2+
(mg kg−1 dw)
Nutrient solutions
HC3185 b4.98 b4014 b8010 a10,053 b2470 b375 b40,086 a7272 b14,152 b
APW5637 a107 a34,601 a5486 b35,070 a4674 a 2391 a13,317 c8836 a51,625 a
CAPW3666 b119 a1357 c8228 a9996 b2259 b402 b26,381 b5718 c16,511 b
Vegetables treatments
Mhd4797 a78.2 b21,502 a8896 ab30,572 a4029 a1040 a33,935 a918429,450
Mihd3602 b38.3 b17,582 b8256 ab26,978 a3102 ab1270 a29,919 ab864929,370
Mild3652 b53.0 b14,650 b7893 b22,900 ab3314 ab1227 a26,301 b790027,693
Rhd4146 ab254 b8778 c8103 ab13,854 b2993 b1132 a23,473 b837827,467
Rihd4822 a163 a6239 c9554 a16,475 b3171 ab873 b30,006 ab837428,639
Rild4279 ab256 a8325 c7908 b13,863 b2653 b875 b25,681 b862229,570
WxV*ns*****nsnsns
MHD: mizuna high density; MIHD: mizuna intercropped high density; MILD: Mizuna intercropped low density; RHD: rocket salad high density; RIHD: rocket salad intercropped high density; RILD: rocket salad low density; HC: hydroponic control; APW: aquaponic water; CAPW: complemented aquaponic water. Different letters on the same DAS indicate significant differences, with p < 0.05, based on a Tukey HSD Test.

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Nicoletto, C.; Maucieri, C.; Mathis, A.; Schmautz, Z.; Komives, T.; Sambo, P.; Junge, R. Extension of Aquaponic Water Use for NFT Baby-Leaf Production: Mizuna and Rocket Salad. Agronomy 2018, 8, 75. https://doi.org/10.3390/agronomy8050075

AMA Style

Nicoletto C, Maucieri C, Mathis A, Schmautz Z, Komives T, Sambo P, Junge R. Extension of Aquaponic Water Use for NFT Baby-Leaf Production: Mizuna and Rocket Salad. Agronomy. 2018; 8(5):75. https://doi.org/10.3390/agronomy8050075

Chicago/Turabian Style

Nicoletto, Carlo, Carmelo Maucieri, Alex Mathis, Zala Schmautz, Tamas Komives, Paolo Sambo, and Ranka Junge. 2018. "Extension of Aquaponic Water Use for NFT Baby-Leaf Production: Mizuna and Rocket Salad" Agronomy 8, no. 5: 75. https://doi.org/10.3390/agronomy8050075

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