Next Article in Journal
Assessing the Ecological Relevance of Organic Discharge Limits for Constructed Wetlands by Means of a Model-Based Analysis
Previous Article in Journal
Bottled Water or Tap Water? A Comparative Study of Drinking Water Choices on University Campuses
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Crop and Irrigation Management Systems under Greenhouse Conditions

1
Agronomy Department of Superior School Engineering, University of Almería, Agrifood Campus of International Excellence ceiA3, Carretera Sacramento s/n, La Cañada de San Urbano, 04120 Almería, Spain
2
Faculty of Agriculture, Kafrelsheikh University, 33511 Kafr El-Shiekh, Egypt
3
University of Novi Sad, Faculty of Agriculture, Trg, Dositeja Obradovica 8, 2100 Novi Sad, Serbia
*
Author to whom correspondence should be addressed.
Water 2018, 10(1), 62; https://doi.org/10.3390/w10010062
Submission received: 21 November 2017 / Revised: 4 January 2018 / Accepted: 9 January 2018 / Published: 11 January 2018

Abstract

:
Plants of Ruscus aculeatus, known as “butcher’s broom”, Maytenus senegalensis, known as “confetti tree”, and Juncus acutus, known as “spiny rush” were grown in pots with a mixture of sphagnum peat-moss and Perlite in order to determine the effect and evolution over time of three water use systems on plant growth, water saving and nutrient uptake. These were an open system (irrigated with standard nutrient solution) and two closed systems (blended-water (drainage water blended with water of low electrical conductivity (EC)) and sequential reuse of drainage (sequential-reuse) water), over a period of 8 weeks. Irrigation with blended- and sequential-reuse-water increased the biomass of all three species at the end of the experiment, compared to the open system. Overall, sequential-reuse-water treatment maximised biomass production. The application of blended- and sequential-reuse-water allowed savings of 17% of water in comparison to the open system. Regarding Cl, NO3 and H2PO4 loads, there was a removal of 5%, 32% and 32%; respectively in the blended-water treatment and 15%, 17% and 17% in the sequential-reuse water treatment compared to the open system. For the cation loads (Na+, K+, Ca2+ and Mg2+) in these water treatments there was a removal of 10%, 32%, 7% and 18% respectively in the blended-water treatment, and 17%, 22%, 17% and 18% respectively in the sequential-reuse treatment, compared to the open system.

1. Introduction

Growing plants in greenhouses can result in excessive leaching of nutrients from containerized crops grown in soilless substrate if irrigation is not managed properly [1]. The drainage water frequently contains high concentrations of nitrates, phosphorus and potassium [2]. Leakage of nitrate and phosphorous from irrigation in greenhouses to the environment was found to be considerably higher than recommended by environmental guidelines and caused pollution of surface and groundwater [3,4]. Moreover, the drainage shows an increase of electrical conductivity due to the accumulation of Na+ and Cl where the original source of water contains these elements, even in low concentrations [5]. However, the drainage from irrigation of one species could be used to irrigate other species in a sequential process, providing the other crops being irrigated are suitably salt tolerant [6]; the drainage water could be used directly, or by blending it with the primary source of water available for the greenhouse operation.
The net volume of water used may be substantially reduced by the capture and reuse of drainage water on farms or in greenhouses. Additionally, the volume of high quality (low conductivity) water used can be reduced by blending with water of lower quality—water containing NaCl, for example. Methods for the use of saline drainage water have been developed in different countries [7,8,9]. These methods include blending and sequential-reuse from species to species. Blending is based on the combination of two sources of irrigation water to produce irrigation water of suitable quality while increasing the overall irrigation water supply. Nevertheless, it is not economically useful if the saline water cannot supply at least 25% of the total irrigation water requirement [10]. Blending drainage water with water of low electrical conductivity (EC) is widely practiced in large areas of Egypt, India, Pakistan, the United States, and Central Asia [11]. For field agriculture, sequential reuse involves application of water of better quality to the crop with the lowest salt tolerance, then using the drainage water from that field obtained from subsurface drainage system to irrigate crops with greater salt tolerance. In California, sequential reuse experiments have involved the use of trees, shrubs and grasses [12]. Nowadays, the recent focus is on forage cropping systems [13]. On a smaller scale, the sequential reuse system has been applied in greenhouses for crop irrigation in the Netherlands [14].
We investigated the potential for use of sequential irrigation with three species: Ruscus aculeatus L., Maytenus senegalensis Lam Exell and Juncus acutus L. Torr. All species are native to the Mediterranean area and have commercial value [15,16,17] but different degrees of salt tolerance. According to the recommendations given by local nursery growers: R. aculeatus is salt sensitive, M. senegalensis is salt tolerant and J. acutus is a halophyte. Nevertheless, there is no published data about the implementation of different irrigation methods or effects on yield of these species grown in greenhouses in the Mediterranean Basin Area. Therefore, in this study, a pot experiment with R. aculeatus, M. senegalensis and J. acutus was established in order to determine the effects of different water treatments on plant growth, water saving and nutrient removal. We established a model that allows growers to calculate the number plants and the water supplies needed in each water system from data on water uptake and the degree of salt tolerance of each species. The establishment of these water systems by growers would generate a water and nutrient saving together with the production of more saleable plants.

2. Materials and Methods

2.1. Experimental Design

A series of experiments under similar conditions was carried out on R. aculeatus (Ra), M. senegalensis (Ms) and J. acutus (Ja) plants during the spring of two consecutive years (2013–2014) in the facilities of the University of Almeria (36°49′ N, 2°24′ W). Plants were obtained from a commercial nursery and then transplanted into 1.5 L polyethylene pots filled with a mixture of sphagnum peat-moss and Perlite 80:20 (v/v) and grown in a greenhouse of 150 m2. During the spring, the microclimatic conditions inside the greenhouse were monitored continuously with HOBO SHUTTLE sensors (model H 08-004-02, Onset Computer Crop., Bourne, MA, USA). Average day temperature was 17.1 °C, relative humidity (RH) 65.6% and photosynthetically active radiation (PAR) 6.2 mol m−2 day−1. All the experiments lasted 8 weeks, which corresponds to the time necessary to produce saleable plants of all three species following the recommendations given by local growers.

2.2. Experimental Water Treatments

The experiment consisted of four replicates with four plants (one plant per pot) per species and stage with a planting density of 10 plants per m2, and three water systems: an open system irrigated with standard nutrient solution (O) and two closed systems (blended—(B) and sequential-reuse (S) water treatments). The standard nutrient solution (water number 1, Table 1) was prepared according to the recommendations given by Jimenez and Caballero [18] for the optimum growth of ornamental plants under Mediterranean conditions and was derived from tap water with the following composition (in mmol L−1): 1.1 SO42−, 3.50 Cl, 2.00 Ca2+ and 1.40 Mg2+ and electrical conductivity of 0.9 dS m−1. The drainage collected in the open system was not reused and was discharged to the environment. In the two closed systems, R. aculeatus plants (first stage) were irrigated with the standard nutrient solution (water number 1) already described, but in each closed system the drainage generated by this species was used in a different way. In the blended water treatment, the drainage of R. aculeatus plants was blended 50/50 with tap water (water number 2) to irrigate M. senegalensis plants, from which the drainage generated (water number 3) was reused to irrigate J. acutus plants. In the sequential reuse water treatment, the drainage of R. aculeatus plants without blending (water number 4) was used to irrigate M. senegalensis plants, from which the drainage generated (water number 5) was reused to irrigate J. acutus plants. Both blended and sequential reuse water treatments were characterized by no drainage discard from J. acutus plants (Figure 1).

2.3. Plant Height and Biomass

Prior to the initiation of the water treatments and at the end of the experiment (8 weeks), four plants per species and per water treatment were selected to determine plant height. Plant height was measured from the top edge of the pot to the youngest open leaf of the plant crown, using a ruler. Then these selected plants were harvested and the substrate gently washed from the roots. The plants were divided into shoots and roots: the surface of the roots was dried with blotting paper prior to weighing. Shoots and roots were then oven-dried at 60 °C for 48 h to determine respective dry weights (DW). The total biomass for each species was calculated as the sum of shoots and roots. Finally, in order to compare the data of biomass among water systems, the total biomass of each system (expressed in g) was calculated by multiplying the total biomass of all species in the system by the planting density and distribution ratio of each system, respectively.

2.4. Sample Collection and Characterization

Drainage from each plant container was collected by placing a tight-fitting plastic collection container under each plant. Plant containers were elevated to prevent leachate from being reabsorbed into the container. Four samples of water supplies and drainage water generated in each stage of each water treatment were manually collected each week, filtered through 0.45-μm membranes and frozen until nutrient analyses were conducted. For each sample, electrical conductivity and pH values were recorded using models Milwaukee C66 and pH52, respectively (Milwaukee Instruments, Rocky Mount, NC, USA); and concentrations of nutrients were determined by high-performance liquid chromatography [HPLC (883 Basic IC Plus, anions ion exchange column Metrosep A SUPP 4, cations ion exchange column Metrosep C4 100, IC conductivity detector (0–15,000 μS cm−1) Metrohm, Herisau, Switzerland)] as described by Csáky and Martínez-Grau [19]. Nutrient loads from each pot (in grams) were calculated by multiplying concentrations of nutrients by the volume of drainage water collected from each pot. Finally, in order to compare the volume of water (expressed in L) and nutrient loads (expressed in g) among water systems, the volume of water and nutrient loads of each water treatment were multiplied by planting density and distribution ratio of each irrigation treatment, respectively.

2.5. Statistical Analysis

The experiment was analysed as a completely randomized design. The Analyses of Variance (ANOVA) and the Fisher’s Least significant difference (LSD) tests (p < 0.05) were used to assess the differences between water treatments. All statistical analyses were performed using Statgraphics Centurion XVI.II (Statpoint Technologies, Inc. Warrenton, VA, USA). Previously, normality was verified using the Shapiro-Wilk test, and homogeneity of variance was tested using the Bartlett test. Differences were considered significant at p < 0.05.

3. Results

3.1. Model Development

The aim of the establishment of this model was to determine the number of plants and the water supplies needed in each water system through the use of a series of inputs, in order to reduce the volume of water and nutrients used in the fertigation of ornamental plants—but always from the point of view of production of saleable plants.
Data used for the model and its calibration were collected during the first experiment in the spring of 2013 and the validation of the model was carried out in the spring of 2014. The main inputs of this model are the following: water uptake of the species in each stage of the different water systems (Wupti), percentage of leachate in the previous stage of the different drainage water systems (Xleai) and percentage of blending water (IDi). The main outputs of the model are: number of plants needed in each stage of the different drainage water systems (Pi) and water supply for the species in each stage of the different drainage water systems (Wsupi).
From the results obtained in these experiments, we defined the following equations in order to determine the number of plants needed in each stage of the different drainage water treatments (1) and the water supplies for the species in each stage of the different drainage water treatments (2):
P i = P i 1 × W u p t i 1 × X l e a i 1 × I D i 1 W u p t i × ( 1 + X l e a i )
W s u p i = i = 1 n P i × W u p t i
The use of subscript (i−1) refers to the previous stage in the different drainage water systems.
To determine the percentage of blending water (IDi) in the previous equations, we used the following Equations (3)–(5): note that the value of IDi in the sequential reuse water treatment is 1, so VF is equal to Vlea.
V T W = V l e a × ( E C l e a E C m i x ) ( E C m i x E C T W )
V F = V l e a + V T W
I D i = V l e a V F
where, VTW is the volume of tap water needed in the blended water treatment, EClea is the electrical conductivity of the leachate, ECTW is the electrical conductivity of the tap water, ECmix is the electrical conductivity of the mixture (leachate and tap water), Vlea is the volume of leachate and VF is the total volume used in the blended water treatment. It is important to point out that the value of IDi in the sequential reuse water treatment is 1, so VF is equal to Vlea. The determination of ECmix should be based on previous studies about the salt tolerance of each species (i).
Finally, with the values obtained using Equations (1) and (2), we determined the distribution ratio (DR) of each species (expressed in number of plants per m2) that can be grown in each water system. The values of DR in closed systems were: (B) (DR: 1/0.27/0.05) and (S) (DR: 1/0.11/0.03), which were also applied to the open system in order to compare the data obtained between water systems.

3.2. Chemical Composition of Water Treatments

pH and EC of waters No. 2, 3, 4 and 5 increased with respect to water No. 1 due to the increase in concentrations of Na+, Cl, SO42−, and Ca2+ and decrease in NO3 and H2PO4 (Table 1).

3.3. Plant Height and Biomass

Over the course of the experiment, the plants of all three species grew significantly in height and weight (Table 2) in the different water systems (open system (O) and closed systems (B and S). Additionally, the irrigation of Ms and Ja plants with S resulted in the highest values in both parameters.
The biomass of plants irrigated with B was higher than of those irrigated by O because of the increased biomass of Ja. In these plants subjected to S, the biomass of Ms and Ja was greater than under O irrigated with standard nutrient solution (Table 3).

3.4. Application of Model Development to Water Management

As far as total water volume and nutrient loads of each water system are concerned (Figure 2), the water system B resulted in a water saving of 17% compared to O (21.1 L in O and 17.6 L in B) and no generation of drainage with a volume of 4.9 L in O. In addition, the comparison between S and O resulted in a saving of water of 17% (17.2 L in O and 14.3 in S) and no generation of drainage with a volume of 3.9 L in O.
The anion loads in the drainage water were also calculated; comparing B against O, there was a removal of 5% of Cl (O (3.97 g) and B (3.80 g)), 32% of NO3 (O (9.87 g) and B (6.70 g)) and 32% of H2PO4 (O (2.79 g) and B (1.90 g)), respectively and the generation of no pollution that in the case of O resulted in 8.44 g of Cl, 3.24 g of NO3 and 0.13 g of H2PO4. In the case of S compared to O, there was a removal of 15% of Cl (O (3.24 g) and S (2.70 g)), 17% of NO3 (O (8.05 g) and S (6.70 g)) and 17% of H2PO4 (O (2.28 g) and B (1.90 g)), respectively and the generation of no pollution that in the case of O resulted in 6.49 g of Cl, 2.52 g of NO3 and 0.11 g of H2PO4.
For the cation loads (Figure 3), comparing B against O, there was a removal of 10% of Na+ (O (2.21 g) and B (2.00 g)), 32% of K+ (O (3.68 g) and B (2.50 g)), 7% of Ca2+ (O (2.94 g) and B (2.70 g)) and 18% of Mg2+ (O (2.20 g) and B (1.80 g)), respectively and the generation of no pollution that in the case of O resulted in 6.13 g of Na+, 1.49 g of K+, 7.71 g of Ca2+ and 1.80 g of Mg2+. In the case of S compared to O, there was a removal of 17% of Na+ (O (1.80 g) and S (1.50 g)), 22% of K+ (O (3.00 g) and S (2.50 g)), 17% of Ca2+ (O (2.40 g) and S (2.00 g)) and 18% of Mg2+ (O (1.80 g) and B (1.50 g)), respectively and the generation of no pollution that in the case of O resulted in 4.65 g of Na+, 1.15 g of K+, 5.95 g of Ca2+ and 1.39 g of Mg2+.

4. Discussion

The increase of EC in the drainage waters compared to the original nutrient solution could be due to the increase of Na+, Cl, SO42−, and Ca2+ concentrations caused primarily by the concentrating effects of plant water uptake, as reported by Massa et al. [5] and Glen et al. [20]. The reduction of NO3 and H2PO4 concentrations in the waters applied for irrigation compared to the nutrient solution could be related to the plant water uptake that met nutritional needs as reported Broschat [21]. In the case of pH, the increase could be related to the alkalinity of the tap water due to high concentrations of bicarbonates [22].
The higher growth and biomass of Ms and Ja plants irrigated with closed systems (B and S) compared to O may be related to the increase of EC generated in B and S which resulted in a better growth of these species as reported by Schnoor et al. [23] and Green [24]. These results suggest the need for implementation of these kinds of closed systems between growers, but the reality is that their establishment is still incipient due to the high investment necessary. The selection of species with different degree of salt tolerance in our experiment, following the recommendations given by Hunt et al. [25] about plant selection for bioretention systems, could be another crucial factor. Similarly, Flowers and Colmer [26] reported that the growth of salt tolerant plants is improved under increasing saline conditions. Finally, it is noteworthy that even though there are many experiments about the effects of these types of water treatments on water and nutrient removal in the literature, our experiment is a new contribution since it also includes data on the effects of these water systems on the growth and biomass of the species, which are important from the grower’s point of view.
The comparison between closed systems (B and S) with an open system (O) showed a reduction of the water volume and nutrient loads. The reduction of the water volume accomplished in these closed systems is a great advantage, particularly in areas with scarcity of water such as the Mediterranean area [27], and at the same time the absence of drainage indicates a higher sustainability, which is important for the environment. At the level of anion loads, higher removal of NO3 and H2PO4 in these closed systems than in the open system may be due to the fact that the more intensive growth of these crops resulted in a higher uptake of N [28] and P [29]. The percentages of nutrient removal in these water systems were lower than in the other systems, such as the soil treatment [30,31] or biofiltration systems [32] where the percentages of nutrient removal were higher than 50%, pointing out that the results obtained in so different environmental conditions are not directly comparable. On the other hand, the high potassium removal could be due to the high nutrient requirements of these crops and the lower removal of Na+, Ca2+ and Mg2+ compared to K+ could be due to the antagonism between these cations under saline conditions as reported by Marschner [33]. Similar results were reported in an experiment aiming to study biofiltration systems carried out by Szota et al. [32].

5. Conclusions

The improved plant biomass in the closed systems (B and S) compared with the open system (O) is related to the increase in the electrical conductivity of the drainages. Higher crop biomass, and consequently higher nutrient uptake, were possible during sequential reuse water treatment, because plant species included in the experiment were previously selected according to their different degrees of salt tolerance. Closed systems (B and S) resulted in higher water saving and nutrient removal in comparison to the open system (O), which is essential from an environmental point of view. Our results suggest that growers should be encouraged to use the equations established in this experiment for the design and setting-up of such water treatments for horticultural and ornamental crops in areas where the scarcity of water is relevant.

Acknowledgments

The authors thank T. Flowers for his suggestions and English style corrections.

Author Contributions

The authors contributed equally to this work.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

The following abbreviations are used in this manuscript:
DRDistribution ratio
DWDry weight
ECElectrical conductivity
PARPhotosynthetically active radiation
RHRelative humidity

References

  1. Schoene, G.; Yeager, T.; Haman, D. Survey of container nursery irrigation practices in west-central Florida: An educational opportunity. HortTechnology 2006, 16, 682–685. [Google Scholar]
  2. Narváez, L.; Cunill, C.; Cáceres, R.; Marfà, O. Design and monitoring of horizontal subsurface-flow constructed wetlands for treating nursery leachates. Bioresour. Technol. 2011, 102, 6414–6420. [Google Scholar] [CrossRef] [PubMed]
  3. Headley, T.R.; Huett, D.O.; Davison, L. The removal of nutrients from plant nursery irrigation runoff in subsurface horizontal-flow wetlands. Water Sci. Technol. 2001, 44, 77–84. [Google Scholar] [PubMed]
  4. Taylor, M.D.; White, S.A.; Chandler, S.L.; Klaine, S.J.; Whitwell, T. Nutrient management of nursery runoff water using constructed wetland systems. HortTechnology 2006, 16, 610–614. [Google Scholar]
  5. Massa, D.; Incrocci, L.; Maggini, R.; Carmassi, G.; Campiotti, C.A.; Pardossi, A. Strategies to decrease water drainage and nitrate emission from soilless cultures of greenhouse tomato. Agric. Water Manag. 2010, 97, 971–980. [Google Scholar] [CrossRef]
  6. Grattan, S.R.; Oster, J.D.; Benes, S.E.; Kaffka, S.R. Use of saline drainage waters for irrigation. In Agricultural Salinity Assessment and Management, 2nd ed.; ASCE Manuals and Reports on Engineering Practice #71; Wallender, W.W., Tanji, K.K., Eds.; ASCE (American Society of Civil Engineers): Reston, VA, USA, 2012; pp. 687–719. [Google Scholar]
  7. Ayars, J.E.; Schnoeman, R. Irrigating field crops in the presence of saline groundwater. Irrig. Drain. 2006, 55, 265–279. [Google Scholar] [CrossRef]
  8. Malash, N.M.; Flowers, T.J.; Ragab, R. Plant–water relations, growth and productivity of tomato irrigated by different methods with saline and non-saline water. Irrig. Drain. 2011, 60, 446–453. [Google Scholar] [CrossRef]
  9. Qadir, M.; Oster, J. Crop and irrigation management strategies for saline-sodic soils and waters aimed at environmentally sustainable agriculture. Sci. Total Environ. 2004, 323, 1–19. [Google Scholar] [CrossRef] [PubMed]
  10. Grattan, S.R.; Oster, J.D. Use and reuse of saline-sodic waters for irrigation of crops. In Crop Production in Saline Environments: Global and Integrative Perspectives; Goyal, S.S., Sharma, S.K., Rains, D.W., Eds.; Haworth Press: New York, NY, USA, 2003; pp. 131–162. [Google Scholar]
  11. Tanji, K.K.; Kielen, N.C. Agricultural Drainage Water Management in Arid and Semiarid Areas; FAO Irrigation and Drainage Paper 61; Food and Agriculture Organization of the United Nations: Rome, Italy, 2002. [Google Scholar]
  12. Tanji, K.K.; Karajeh, F.F. Salt drain water reuse in agroforesty systems. J. Irrig. Drain. Eng. 1993, 119, 170–180. [Google Scholar] [CrossRef]
  13. Linneman, C.; Falaschi, A.; Oster, J.D.; Kaffka, S.; Benes, S. Drainage reuse by grassland area farmers: The road to zero discharge. In Groundwater Issues and Water Management–Strategies Addressing the Challenges of Sustainability. In Proceedings of the USCID Water Management Conference, Sacramento, CA, USA, 4–7 March 2014. [Google Scholar]
  14. Stanghellini, C.; Kempkes, F.; Pardossi, A.; Incrocci, L. Closed water loop in greenhouses: Effect of water quality and value of produce. Acta Hortic. 2005, 691, 233–241. [Google Scholar] [CrossRef]
  15. Veronese, G. A Study on the Genus Ruscus and Its Horticultural Value; The Cambridge University Botanic Garden: Cambridge, UK, 2014. [Google Scholar]
  16. López, G. Guía de los Árboles y Arbustos de la Península Ibérica y Baleares, 2nd ed.; Mundiprensa: Madrid, Spain, 2004. [Google Scholar]
  17. Valdés, B.; Talavera, S.; Fernández-Galiano, E. Flora Vascular de Andalucía Occidental; Tomos I, II y III, Ed.; Ketres: Barcelona, Spain, 1987. [Google Scholar]
  18. Jimenez, R.; Caballero, M. El Cultivo Industrial de Plantas en Maceta; Ediciones de Horticultura S.L.: Barcelona, Spain, 1990. [Google Scholar]
  19. Csáky, A.; Martínez-Grau, M.A. Técnicas Experimentales en Síntesis Orgánica; Síntesis: Madrid, Spain, 1998. [Google Scholar]
  20. Glen, E.P.; Nagler, P.L.; Morino, K.; Hultine, K.R. Phreatophytes under stress: Transpiration and stomatal conductance of saltcedar (Tamarix spp.) in a high-salinity environment. Plant Soil 2013, 371, 655–672. [Google Scholar] [CrossRef]
  21. Broschat, T.K. Nitrate, phosphate and potassium leaching from container grown plants fertilized by several methods. HortScience 1995, 30, 74–77. [Google Scholar]
  22. Contreras, J.I. Optimización de las Estrategias de Fertirrigacion de Cultivos Hortícolas en Invernadero Utilizando Aguas de Baja Calidad (Agua Salina Y Regenerada) en Condiciones del Litoral de Andalucia. Ph.D. Thesis, University of Almería, Almería, Spain, 2014. [Google Scholar]
  23. Schnoor, J.L.; Licht, L.A.; McCutcheon, S.C.; Woolfe, N.L.; Carreira, N.L. Phytoremediation of organic and nutrient contaminants. Environ. Sci. Technol. 1995, 29, 318–323. [Google Scholar] [CrossRef] [PubMed]
  24. Green, S.J. New Jerusalem drainage district (NJDD) subsurface drainage system management alternatives. In Groundwater Issues and Water Management–Strategies Addressing the Challenges of Sustainability. In Proceedings of the USCID Water Management Conference, Sacramento, CA, USA, 4–7 March 2014. [Google Scholar]
  25. Hunt, W.F.; Lord, B.; Loh, B.; Sia, A. Plant Selection for Bioretention Systems and Stormwater Treatment Practices; Springer: Berlin, Germany, 2014; p. 2015. [Google Scholar]
  26. Flowers, T.J.; Colmer, T.D. Salinity tolerance in halophytes. New Phytol. 2008, 179, 945–963. [Google Scholar] [CrossRef] [PubMed]
  27. García-Caparrós, P.; Llanderal, A.; Pestana, M.; Correia, P.; Lao, M.T. Tolerance mechanisms of three potted ornamental plants grown under moderate salinity. Sci. Horticult. 2016, 201, 84–91. [Google Scholar] [CrossRef]
  28. Vymazal, J. Removal of nutrients in various types of constructed wetlands. Sci. Total Environ. 2007, 380, 48–65. [Google Scholar] [CrossRef] [PubMed]
  29. Read, J.; Fletcher, T.D.; Wevill, T.; Deletic, A. Plant traits that enhance pollutant removal from stormwater in biofiltration systems. Int. J. Phytoremediat. 2009, 12, 34–53. [Google Scholar] [CrossRef]
  30. Zhao, J.F.; Ma, X.L.; Jin, L.M. Improved land-treatment-system with slow rate for sewage and its test. Trans. CSAE 2006, 22, 85–88. [Google Scholar]
  31. Duan, J.; Geng, C.; Li, X.; Duan, Z.; Yang, L. The treatment performance and nutrient removal of a garden land infiltration system receiving dairy farm wastewater. Agric. Water Manag. 2015, 150, 103–110. [Google Scholar] [CrossRef]
  32. Szota, C.; Farrell, C.; Livesley, S.J.; Fletcher, T.D. Salt tolerant plants increase nitrogen removal from biofiltration systems affected by saline stormwater. Water Res. 2015, 83, 195–204. [Google Scholar] [CrossRef] [PubMed]
  33. Marschner, H. Marschner’s Mineral Nutrition of Higher Plants, 3rd ed.; Academic Press: London, UK, 2012. [Google Scholar]
Figure 1. General layout of the different experimental water treatments in order to determine the effect of using drainage water on growth and nutrient removal by three native species. Water number 1: standard nutrient solution; number 2: blend of tap water and drainage from irrigation of R. aculeatus with nutrient solution used to irrigate M. senegalensis; number 3: drainage from irrigation of M. senegalensis irrigated with water number 2 used to irrigate J. acutus; number 4: drainage from irrigation of R. aculeatus with nutrient solution used to irrigate M. senegalensis, and number 5: drainage from irrigation of M. senegalensis irrigated with water number 4 used to irrigate J. acutus.
Figure 1. General layout of the different experimental water treatments in order to determine the effect of using drainage water on growth and nutrient removal by three native species. Water number 1: standard nutrient solution; number 2: blend of tap water and drainage from irrigation of R. aculeatus with nutrient solution used to irrigate M. senegalensis; number 3: drainage from irrigation of M. senegalensis irrigated with water number 2 used to irrigate J. acutus; number 4: drainage from irrigation of R. aculeatus with nutrient solution used to irrigate M. senegalensis, and number 5: drainage from irrigation of M. senegalensis irrigated with water number 4 used to irrigate J. acutus.
Water 10 00062 g001
Figure 2. Water volume and anion loads of each water treatment for their respective distribution ratio itemized by species and the total (DR, distribution of the number of plants of the three species that can be grown in each water system). O—open system, B—blended water system, and S—sequential reuse water system.
Figure 2. Water volume and anion loads of each water treatment for their respective distribution ratio itemized by species and the total (DR, distribution of the number of plants of the three species that can be grown in each water system). O—open system, B—blended water system, and S—sequential reuse water system.
Water 10 00062 g002aWater 10 00062 g002b
Figure 3. Cation loads of each water treatment for their respective distribution ratio itemized by species and the total (DR, distribution of the number plants of the three species that can be grown in each water system). O—open system, B—blended water system, and S—sequential reuse water system.
Figure 3. Cation loads of each water treatment for their respective distribution ratio itemized by species and the total (DR, distribution of the number plants of the three species that can be grown in each water system). O—open system, B—blended water system, and S—sequential reuse water system.
Water 10 00062 g003aWater 10 00062 g003b
Table 1. Chemical composition of the applied water. Electrical conductivity (EC) was expressed in dS m−1 and nutrient concentration in mmol L−1. Water number 1: standard nutrient solution; number 2: blend of tap water and drainage from irrigation of Ra with nutrient solution used to irrigate Ms; number 3: drainage from irrigation of Ms irrigated with water number 2 used to irrigate Ja; number 4: drainage from irrigation of Ra with nutrient solution used to irrigate Ms, and number 5: drainage from irrigation of Ms irrigated with water number 4 used to irrigate Ja. Data are the means ± standard deviation of four samples per treatment. For water numbers 2–5, the values are the average values of the different chemical parameters analyzed weekly during the trial.
Table 1. Chemical composition of the applied water. Electrical conductivity (EC) was expressed in dS m−1 and nutrient concentration in mmol L−1. Water number 1: standard nutrient solution; number 2: blend of tap water and drainage from irrigation of Ra with nutrient solution used to irrigate Ms; number 3: drainage from irrigation of Ms irrigated with water number 2 used to irrigate Ja; number 4: drainage from irrigation of Ra with nutrient solution used to irrigate Ms, and number 5: drainage from irrigation of Ms irrigated with water number 4 used to irrigate Ja. Data are the means ± standard deviation of four samples per treatment. For water numbers 2–5, the values are the average values of the different chemical parameters analyzed weekly during the trial.
Chemical Parameters Water Applied for Irrigation
12345
pH6.57.9 ± 0.27.5 ± 0.27.7 ± 0.27.5 ± 0.3
EC1.52.2 ± 0.23.2 ± 0.32.9 ± 0.33.9 ± 0.4
NO36.02.6 ± 0.43.3 ± 0.43.5 ± 0.34.1 ± 0.4
H2PO40.70.03 ± 0.010.06 ± 0.020.04 ± 0.010.03 ± 0.01
Cl3.511.5 ± 1.119.6 ± 1.817.6 ± 1.823.5 ± 2.0
SO42−2.03.4 ± 0.34.0 ± 0.43.5 ± 0.35.1 ± 0.5
Ca2+2.02.6 ± 0.24.0 ± 0.43.2 ± 0.34.6 ± 0.4
Mg2+1.41.8 ± 0.21.2 ± 0.11.3 ± 0.11.7 ± 0.2
K+3.02.7 ± 0.23.1 ± 0.33.0 ± 0.32.9 ± 0.3
Na+2.610.4 ± 1.321.1 ± 1.917.3 ± 1.625.6 ± 2.1
Table 2. Plant height (cm) and dry weight (DW) (g plant−1) at the beginning (Pb) and at end of the experiment (Pf). O—open system, B—blended water system, and S—sequential reuse system. Data are the means ± standard deviation of four plants per treatment. Ra = Ruscus aculeatus, Ms = Maytenus senegalensis and Ja = Juncus acutus. Averages within a file with the same letters are not significantly different at p < 0.05 (ANOVA and LSD test).
Table 2. Plant height (cm) and dry weight (DW) (g plant−1) at the beginning (Pb) and at end of the experiment (Pf). O—open system, B—blended water system, and S—sequential reuse system. Data are the means ± standard deviation of four plants per treatment. Ra = Ruscus aculeatus, Ms = Maytenus senegalensis and Ja = Juncus acutus. Averages within a file with the same letters are not significantly different at p < 0.05 (ANOVA and LSD test).
ParametersPbPf
OBS
Plant heightRa42.5 ± 4.5 b61.7 ± 6.1 a
Ms36.0 ± 3.2 c58.75 ± 5.1 b55.0 ± 4.9 b69.2 ± 5.2 a
Ja46.0 ± 4.1 d52.0 ± 4.6 c56.0 ± 5.0 b69.7 ± 5.8 a
DWRa16.6 ± 1.6 b24.6 ± 2.1 a
Ms4.9 ± 0.5 c9.6 ± 0.9 b10.1 ± 1.0 b12.7 ± 1.3 a
Ja13.6 ± 1.4 d16.8 ± 1.3 c31.4 ± 2.4 b41.9 ± 3.5 a
Table 3. Biomass itemized by species plants subjected to three water treatments used as criterion to assess their respective distribution ratio (DR, distribution ratio of the number plants of the three species that can be grown in each water system). O—open system, B—blended water system, and S—sequential reuse system. Data are the means ± standard deviation of four plants per treatment. Ra = Ruscus aculeatus, Ms = Maytenus senegalensis and Ja = Juncus acutus. Averages within a column with the same letters are not significantly different at p < 0.05 (ANOVA and LSD test).
Table 3. Biomass itemized by species plants subjected to three water treatments used as criterion to assess their respective distribution ratio (DR, distribution ratio of the number plants of the three species that can be grown in each water system). O—open system, B—blended water system, and S—sequential reuse system. Data are the means ± standard deviation of four plants per treatment. Ra = Ruscus aculeatus, Ms = Maytenus senegalensis and Ja = Juncus acutus. Averages within a column with the same letters are not significantly different at p < 0.05 (ANOVA and LSD test).
Distribution RatioWater SystemsDry Weight (g)
RaMsJa
DR (1:0.27:0.05)O246.4 ± 22.0 a25.7 ± 2.5 a8.4 ± 0.8 b
B246.4 ± 22.0 a27.0 ± 2.1 a15.7 ± 1.4 a
DR (1:0.11:0.03)O246.4 ± 22.0 a10.6 ± 0.9 b4.5 ± 0.4 b
S246.4 ± 22.0 a15.1 ± 1.3 a11.3 ± 1.1 a

Share and Cite

MDPI and ACS Style

García-Caparrós, P.; Llanderal, A.; El-Tarawy, A.; Maksimovic, I.; Lao, M.T. Crop and Irrigation Management Systems under Greenhouse Conditions. Water 2018, 10, 62. https://doi.org/10.3390/w10010062

AMA Style

García-Caparrós P, Llanderal A, El-Tarawy A, Maksimovic I, Lao MT. Crop and Irrigation Management Systems under Greenhouse Conditions. Water. 2018; 10(1):62. https://doi.org/10.3390/w10010062

Chicago/Turabian Style

García-Caparrós, Pedro, Alfonso Llanderal, Ahmed El-Tarawy, Ivana Maksimovic, and María Teresa Lao. 2018. "Crop and Irrigation Management Systems under Greenhouse Conditions" Water 10, no. 1: 62. https://doi.org/10.3390/w10010062

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop