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Research Article

Physicochemical and Microbiological Characterization of a Dry Soil in the Interface Steppe-Saharan Region in Southwest of Algeria

Tadjeddine Nadia, Mederbal Khelladi, Regagba Mohamed, Josa Ramon, Daniella Meyer Allevato and Latigui Amina

The interface region steppe-Saharan, where the study was conducted is pastoral where the main activity is sheep production. The strong anthropological pressure has resulted in a reduction of the plant’s potential, inducing a fragile ecosystem promoting more increased desertification. This work was undertaken in six stations distributed along a north-south transect. The physicochemical analyzes of these stations indicated a skeletal nature of the soil, sandy and limestone with CaCO3 amount greater than 20, a pH ranging from 8.10-8.70 and a water retention capacity between 17.40-36%. The analyzes have also shown that the studied soils are rich in organic matter with a ratio greater than 4%, with a C/N ratio lower than 12. As for microbiological analyzes, they showed a bacterial presence varies that greatly from one station to another predominantly of Pseudomonas sp., Staphylococcus sp., Clostridium sulphite-reducing, Enterobacteria and Streptococci sp.

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Tadjeddine Nadia, Mederbal Khelladi, Regagba Mohamed, Josa Ramon, Daniella Meyer Allevato and Latigui Amina, 2015. Physicochemical and Microbiological Characterization of a Dry Soil in the Interface Steppe-Saharan Region in Southwest of Algeria. Journal of Biological Sciences, 15: 124-130.

DOI: 10.3923/jbs.2015.124.130

Received: June 19, 2015; Accepted: September 21, 2015; Published: October 15, 2015


The Algerian steppe has an area of 20 million ha. It is located on the edge of the northern Sahara (Brague-Bouragba et al., 2007). It has a geographical entity differentiated by the harsh climate, the nature of its hydrology and particularly by the representative vegetation. The investigations undertaken in situ by Josa et al. (2011), allowed the identification of 137 plant species representing almost all plant families distributed in this area.

The phenomenon of the "regression ecosystem" (Peltzer et al., 2010; Wardle et al., 2004) concerns largely microbial communities and their effects on soil chemistry, nutrient availability and vegetation (Wardle et al., 2004; Chadwick et al., 1998).

In this study, the soil particle size was investigated. It involved coarse and fine sands, coarse and fine silts and clay. This is because, aggregate stability is the main property of erosion control, runoff (Barthes et al., 2000; Barthes and Roose, 2002) and plant growth (Gawlik et al., 1999; Vdovic et al., 2010) in semi-arid regions (Dunne et al., 1991).

The main physicochemical porosity, moisture content, pH and electrical conductivity; involved in plant growth (Fan and Yang, 2007; Medina et al., 2012) have also been studied.

In parallel, a biological soil analysis was conducted. This concerned the Enterobacteriaceae, Staphylococcus, Clostridium sulphite-reducing Streptococci, Pseudomonas and Azotobacters present in the soil. This fauna is important because they are involved in geochemical cycles and soil quality through the extracellular enzymes produced during the degradation of the organic matter complex (Sinsabaugh et al., 1993).

As for the chemical analysis, major elements K, Na, P, total Ca, organic matter (Tagliavini et al., 2005) and the C/N were analyzed. According to Pandey et al. (2011) and Wong et al. (2010), a high salt concentration inhibits the growth of microorganisms and therefore that of plants; causing land degradation (Nannipieri et al., 2012) and a physicochemical change resulting in a significant loss of soil fauna (Singh et al., 2012; Yuan et al., 2007).

The study concerned the soil particle size, the main physicochemical parameters, the microbiological soil analysis, the major chemical elements and the organic matter. It was conducted in six stations located in the interface Saharan-steppe region, an arid bioclimatic zone of the El Bayadh in southwest Algeria. These stations were distributed along a north-south transect.


Presentation of the study field and choice stations: The territory of the province of El Bayadh covers a total area of 6,642,039 ha, of which 5,704,445 ha includes steppe rangelands and pre-Saharan areas. The average rainfall is relatively low at 326 mm year–1 (Josa et al., 2011). The sampling sites were selected to cover the types of dominant and representative soils of the region. They are represented by six stations; ST1, ST2, ST3, ST4, ST5 and ST6 (Table 1).

Collection of soil samples: On each plot, six soil samples were carried out between 0 and 5 cm of depth, according to the Baize (2000) method. Next they were mixed to obtain a composite sample. The samples were stored in coolers at 4°C. They samples were used for the physicochemical and microbiological analyzes in the laboratory.

Physical and chemical analysis: The particle size was determined by the method described by Aubert (1978). The porosity, moisture content, residual moisture, pH, electric conductivity, organic matter and carbon were analyzed by Petard (1993) method. The amount of assimilable phosphorus was realized by Olsen Method, the nitrogen by the Kjeldahl method, the total calcareous content by Bernard’s calcimeter.

Analysis and enumeration of prokaryotes: Ten grams of soil samples were diluted in 90 mL of physiologic and sterile water, then stirred with a vortex.

Table 1: Locations of study sites

From this stock solution, a series of dilutions were carried out appropriately. One hundred microliter of each dilution was used for the different analyzes provided in this work.

A non-selective nutrient agar medium was used for the search of the total flora. By contrast, selective media glucose agar with bile compound, Baid parker, Meat-Liver, Hagar bile esculin of Cetrimide and synthetic medium were used, respectively for the detection and enumeration of Enterobacteriaceae, staphylococci, of sulphite-reducing Clostridium, Streptococcus, Pseudomonas and Azotobacters.

Incubation of microorganisms was carried out in Petri dishes at 37°C for 24-72 h. Macroscopic and microscopic examinations and conventional biochemical tests for bacterial identification were performed according to the Method in Bergey's Manual (1986).

Analysis and enumeration of eukaryotic: Eukaryotic existing soil fungi were studied. Incubation of the samples containing the fungi was performed at 25°C for 3-5 days in Petri dishes containing the medium supplemented with citric acid, sulfated streptomycin and chlortetracycline hydrochloride with 250, 100 and 50 mg L–1, respectively. Enumeration of viable bacteria was expressed in colony forming units (CFU) per gram of sample using the following formula (Beraud, 2001):

Statistical analysis: Statistical analyses were performed using SPSS Version 17 software. All experimentations were performed in duplicate. The results are expressed as Mean±standard deviation ESM. The Pearson r coefficient was used to study the correlation between organic biomass and other factors. Because, it measures adequately the linear relationship between these two variables.

The value of P or sig. (bilateral) introduced by Gibbons and Pratt (1975) and used by several authors (Bezeau and Graves, 2001; Cashen and Geiger, 2004; Maddock and Rossi, 2001; Paul and Plucker, 2004) to confirm the actual links between the factors studied. Therefore, it implies a causal relationship between the two variables.


Grain size: Table 2 showed a sandy texture of ST1, ST2, ST3, ST5 and ST6. However, the St4 showed a sandy-loam texture.

It should be noted that sandy soils are often dry, nutrient-poor and very draining. They have an unstable structure. They are, therefore, susceptible to wind erosion. As for sandy loam (ST4), the soil is relatively more fertile and retains moisture.

Total porosity: According to Chong (2005) and Vaughn et al. (2011), the total porosity of the soil is between 50 and 85%.

Table 2: Results of physico-chemical analyses of soil in study stations
CS: Coarse sand, S: Sandy, CS: Coarse silt, FS: Fine silt, C: Clay, EC: Electrical conductivity

Table 3:Test pearson correlations (r) and the significance test of the slope or Sig. (bilateral) (P) between the different factors with number of stations N = 6
RH: Residual moisture, OM: Organic matter, BM: Biomass, C/N ratio, Carbon products: Nitrogen products

In our case (Table 2), ST5 and ST6 have a relatively high porosity. Therefore, they have a water retention capacity that is higher compared to other stations.

Water retention and moisture: The results (Table 3) show that the moisture content varies from one station to another. However, it is higher in stations ST3, ST4, ST5, ST6. However, in ST1 and ST2, the rate is about 1%. These findings may be related to the vegetation cover. Because, the roots play an important role in the exchange and maintenance of plant-animal symbiosis in the soil (Choi et al., 2010).

pH: The pH of the soils studied is between 8.2 and 8.7 (Table 2) within 6 stations. This high pH is according to Mengel and Kirkby (2001) caused by an absence of ammoniacal nitrogen. A qualitatively high pH affects the solubility of some elements; thus influencing their absorption Raven et al. (2010). On the other hand, in more acidic soils, nitrification is greater (Cookson et al., 2004; Tong and Xu, 2012; Norton and Stark, 2011; Serjeant and Dempsey, 1979). According to Babiker et al. (2004), De Paz and Ramos (2004), Albregts and Howard (1980), Urrestarazu et al. (2008) and Abad et al. (2001), a pH between 5.5 and 6.5 allows full absorption of microelements.

Electrical conductivity: The electrical conductivity of soils in the study area varies between 1.15 and 1.5 dS m–1 (Table 2). We deduce, while moderately saline soils are studied. If the level of salinity is less than 2.0 dS m–1, the effects on the plant’s growth are negligible (Saied et al., 2005; D'Anna et al., 2003). Carusoa et al. (2011) and Baize (2002). The ideal values are between 2.18-2.34 dS m–1 (De Pascale et al., 2001; Keutgen and Pawelzik, 2007; Choi and Latigui, 2008; Skiredj, 2005). Greater than those above mentioned values can cause high salinity consequently, causing phytotoxicity (Latigui, 1992; Latigui et al., 2011).

Organic matter and C/N: The studied soils are rich in organic matter (Table 2). This reflects the abundance of vegetation cover. Generally, the organic status is evaluated by measuring the total organic carbon concentration (TOC) and Total Nitrogen (TN) in the soil. This is due to the estimate of the N/C ratio that shows values lower than 20; optimal for the mineralization of organic matter values (Genot et al., 2011). The higher levels of organic matter associated can be also associated with an improvement of the structure, facilitation of infiltration, an increase in water retention capacity and the ability to resist erosion (Raven et al., 2010).

Limestone: The contents of total calcium in the soils studied are between 20.60-37% (Table 2). Thus, it appears that the soil in the study areas are calcareous like most Algerian soils. It should be noted that according to Benchetrit (1959) 70-80% of the soil of Algeria is slightly to moderately filled with limestone horizons deep in the soil versus superficially.

Potassium and sodium: For the rate of K and Na, the highest values were found in ST5 with 11.89 and 0.125% (Table 2), respectively. This value appears to be due to the abundance and/or the type of vegetation cover (Genot et al., 2011). A high concentration of Na inhibits the nitrogen cycle, thus influencing the microbial biomass, enzyme activity and nitrification (Tong and Xu, 2012; Matsushima et al., 2009).

Phosphorus: In this study, ST6 contains relatively more of the available P (Table 2).

Fig. 1: Total microbial biomass for each station

This value appears to be due to the density of vegetation cover or to the herbaceous dominant type in the region (Balesdent, 1996). An inappropriate concentration of P causes a profound change in the aerial (De Groot et al., 2001) and root parts of the plants. A low concentration of P is mainly due to mineral weathering and leaching (Izquierdo et al., 2013).

2 laboratory tests
Microbiological analysis: Microbiological analysis (Fig. 1) showed the presence of a complex and diverse microbial biomass. It is relatively denser in the soils of ST4. This relative growth of microbial flora is related to the low electrical conductivity negligible in this threshold (Table 1), the richness of soil organic matter with water holding capacity and the highest low limestone. These factors promote microbial growth (De Pascale et al., 2001; Raven et al., 2010; Kuroiwa et al., 2011).

Parameters such as pH and nutrient availability are known to be important factors for the structure, diversity and function of communities both plant and microbial (Grayston et al., 2004; Lauber et al., 2009; Marschner et al., 2004).

Bacterial biomass is a sensitive indicator of a long-term decline of soil organic matter resulting from a disturbance of a natural ecosystem. The organic matter regulates the biological activities and contributes to the diversity and complexity of the soil. It is, moreover, a large reserve of nutrients that will be available to the plant (Genot et al., 2011).

Fungal analysis: A comparative analysis showed that the rate of fungi growth was lower than those of bacteria (Fig. 2).

According to Roux (2005), the increase in humidity stimulates bacteria. A slightly alkaline pH is optimum for growth of bacteria whereas the fungi prefer a low pH from 3-5.

Distribution of bacterial flora: The microscopic and biochemical identification of microorganisms isolated showed the presence of Enterobacteriaceae, Staphylococcus sp., Streptococcus sp., Pseudomonas sp. These represent a large fraction of the bacterial community particularly in ST5. They are found in all walks of life, especially on the root systems of plants (Haas and Keel, 2003).

Fig. 2: Distribution of bacterial and fungal flora in each station

Fig. 3: Bacterial breakdown of the six stations

Their predominance in soils can be explained by a high density of vegetation (Josa et al., 2011; Chapin III, 1980), particularly in ST5 (Fig. 3), where the canopy is 75-80% (Josa et al., 2011).

Moreover, porosity, aeration and depth have, firstly, the growth and development of the genus Pseudomonas sp., strict and also inhibit, also the proliferation of aerobic bacteria Clostridium sulphite (Roux, 2005).

Since the study area is an integral part of transhumance routes, the presence of staphylococci and streptococci, ubiquitous bacteria may have an animal origin. The abundance of nitrogen-fixing bacteria Azotobacter sp. is found in the soil of ST5, particularly in the rhizosphere of Pinus halpensis.

Distribution of the fungal flora: The analysis shows the predominance of fungal flora in ST2 while, in ST4 it is devoid. This explains the decrease in phosphorus in the later (Fig. 2). According to Bolan (1991), fungi improve the collection and transport to the plant very little mobility mainly phosphorus nutrients. They increase tolerance to drought and reduce the effects of pathogenic infections. In addition, positive interactions were found between mycorrhizal interactions.

Fig. 4: Presentation of regression line

Fungi and soil bacterial communities: Interpretation of the results (Table 3) was made by combining the Pearson correlation (r) and tests for significance of the slope (p).

Pearson correlation (r) allows us to determine if the relationship between the 2 factor is perfect (1), very high (0.85), high (0.5-0.8), medium (0.2-0.5), low (0-0.2) or zero (0). However, Sig. (bilateral) (p) allows us to determine if this relationship is significant and not due to chance. Recall that if the Sig. or p-value is greater than 0.5 we conclude that the correlation expressed by Pearson’s R is due to chance. However, if P is less than 0.5, the relationship between the two factors is significant.

In our case, we deduce that the Mo-Na correlation (r = 0.635, p = 0.176) is strong and that there is indeed a relationship between the two factors.

The correlation C/NP (r = 0.388, p = 0.447) is moderate, but really exists.

The correlation BO-MO (r = 0.836, p = 0.38) is very strong and really exists (Table 3 and Fig. 4).


Parameters such as pH and nutrient availability are known to be important factors in the structure, diversity and function of communities of both plant and flora.

This approach seems to be an interesting contribution to the study of semi-arid soil with a much diversified native flora, with the exception in ST3 whose land has the introduced Atriplexe canescens.

In light of our results, we can infer that the soils of our study sites are sandy and skeletal., By contrasts, the soil of ST4 is sandy loam, limestone and rich in organic matter with an alkaline pH favoring the development of bacterial flora compared to the fungal flora.

Through correlation tests, this diversity is not only related to the physicochemical parameters of the soil but also to the existing microbial community and its frequency. Microbiological characterization revealed a diversity in bacterial flora and fungal flora. The bacterial flora includes Enterobacteriaceae, Staphylococcus spp, Streptococcus sp, the sulphite-reducing Clostridium, with a predominance of Pseudomonas sp.

Steppe soils are fragile and are easily eroded. Nevertheless, there is a balance in the ecosystem, especially between the physicochemical and microbiological parameters supporting a significant vegetation cover or more or less discontinuous, that is essential for maintaining pastoral activity characteristic of this region. This will allow periodic monitoring of these indicators. Because, they inform us about the soil's ability to withstand the anthropological pressure. They will also, help ecologists choose species for highly sensitive areas that can adapt to these conditions in rehabilitation programs.

The perspective is to set up a database in a Geographical Information System (GIS). It would integrates multiple data sources physical, chemical, microbial, climate, water and socio-economic in order to monitor and intervene in real time to minimize the phenomena of steppe desertification.

Abad, M., P. Noguera and S. Bures, 2001. National inventory of organic wastes for use as growing media for ornamental potted plant production: Case study in Spain. Bioresour. Technol., 77: 197-200.
CrossRef  |  Direct Link  |  

Albregts, E.E. and C.M. Howard, 1980. Accumulation of nutrients by strawberry plants and fruit grown in annual hill culture. J. Am. Soc. Hortic. Sci., 105: 386-388.
Direct Link  |  

Aubert, G., 1978. Methods of Soil Analysis. CRDP, Marseille, pp: 191.

Babiker, I.S., M.A.A. Mohamed, H. Terao, K. Kato and K. Ohta, 2004. Assessment of groundwater contamination by nitrate leaching from intensive vegetable cultivation using geographical information system. Environ. Int., 29: 1009-1017.
CrossRef  |  Direct Link  |  

Baize, D., 2000. Analyzes of soil science guide. Institut National de la Recherche Agronomique, Paris.

Baize, D., 2002. Analyzes of soil science guide. Institut National de la Recherche Agronomique, Paris.

Balesdent, J., 1996. A point on the evolution of organic land reserved in France. Study Soil Manage., 3: 245-260.

Barthes, B. and E. Roose, 2002. Aggregate stability as an indicator of soil susceptibility to runoff and erosion; validation at several levels. Catena, 47: 133-149.
CrossRef  |  Direct Link  |  

Barthes, B., A. Azontonde, B.Z. Boli, C. Prat and E. Roose, 2000. Field-scale run-off and erosion in relation to topsoil aggregate stability in three tropical regions (Benin, Cameroon, Mexico). Eur. J. Soil Sci., 51: 485-495.
CrossRef  |  Direct Link  |  

Benchetrit, M., 1959. The soils of Algeria. Alpine Geog. Rev., 44: 749-761.

Beraud, J., 2001. The Technician Biological Analyzes Theoretical and Practical Guide. Tec & Doc Lavoisier, Paris, pp: 988-990.

Bergey's Manual, 1986. Bergey's Manual of Systematic Bacteriology. 4th Edn., Williams & Wilkins, USA., ISBN-13: 978-0683078930, Pages: 672.

Bezeau, S. and R. Graves, 2001. Statistical power and effect sizes of clinical neuropsychology research. J. Clin. Exp. Neuropsychol., 23: 399-406.
CrossRef  |  Direct Link  |  

Bolan, N.S., 1991. A critical review on the role of mycorrhizal fungi in the uptake of phosphorus by plants. Plant Soil, 134: 189-207.
CrossRef  |  Direct Link  |  

Brague-Bouragba, N., A. Brague, S. Dellouli and F. Lieutier, 2007. [Comparison of coleopteran and spider communities between a reforested area and a still steppe area in a pre-Saharan region of Algeria]. Comptes Rendus Biol., 330: 923-939.
Direct Link  |  

Carusoa, G., G. Villarib, G. Melchionnac and S. Conti, 2011. Effects of cultural cycles and nutrient solutions on plant growth, yield and fruit quality of alpine strawberry (Fragaria vesca L.) grown in hydroponics. Scientia Horticulturae, 129: 479-485.
CrossRef  |  Direct Link  |  

Cashen, L.H. and S.W. Geiger, 2004. Statistical power and the Testing of null hypotheses: A review of contemporary management research and recommendations for future studies. Organiz. Res. Meth., 7: 151-167.
Direct Link  |  

Chadwick, O.A., L.A. Perry, P.M. Vitousee, B.J. Huebert and L.O. Hedin, 1998. Changing sources of nutrients during four million years of ecosystem development. Nature, 397: 491-497.
CrossRef  |  

Chapin, III. F.S., 1980. The mineral nutrition of wild plants. Annu. Rev. Ecol. Syst., 11: 233-260.
CrossRef  |  Direct Link  |  

Choi, J.M. and A. Latigui, 2008. Effect of various magnesium concentrations on the quantity of chlorophyll of 4 varieties of strawberry plants (Fragaria ananassas D.) cultivated in inert media. J. Agron., 7: 244-250.
CrossRef  |  Direct Link  |  

Choi, J.M., A. Latigui and Y.M. Kyung, 2010. Growth and nutrient uptake of seolhyang strawberry (Fragaria x ananassa Duch) responded to elevated nitrogen concentrations in nutrient solution. Korean J. Hort. Sci. Technol., 285: 777-782.
Direct Link  |  

Chong, C., 2005. Experiences with wastes and composts in nursery substrates. HortTechnology, 15: 739-747.
Direct Link  |  

Cookson, W.R., C. Muller, P.A. O'Brien, D.V. Murphy and P.F. Grierson, 2004. Nitrogen dynamics in an Australian semiarid grassland soil. Ecology, 87: 2047-2057.
PubMed  |  

D'Anna, F., G. Incalcaterra, A. Moncada and A. Miceli, 2003. Effects of different electrical conductivity levels on strawberry grown in soilless culture. Acta Hort., 609: 355-360.
Direct Link  |  

De Groot, C., L.F.M. Marcelis, R. Van den Boogaard and H. Lambers, 2001. A Growth and dry-mass partitioning in tomato as affected by phosphorus nutrition and light. Plant Cell Environ., 24: 1309-1317.
Direct Link  |  

De Pascale, S., A. Maggio, V. Fogliano, P. Abrosino and A. Ritieni, 2001. Irrigation with saline water improves carotenoids content and antioxidant activity of tomato. J. Hortic. Sci. Biotechnol., 76: 447-453.

De Paz, J.M. and C. Ramos, 2004. Simulation of nitrate leaching for different nitrogen fertilization rates in a region of Valencia (Spain) using a GIS-GLEAMS system. Agric. Ecosyst. Environ., 103: 59-73.
CrossRef  |  Direct Link  |  

Dunne, T., W. Zhang and B.F. Aubry, 1991. Effects of rainfall, vegetation and microtopography on infiltration and runoff. Water Resour. Res., 27: 2271-2285.
Direct Link  |  

Fan, W.G. and H.Q. Yang, 2007. Nutrient deficiency affects root architecture of young seedlings of Malus hupehensis (Pamp) Rehd. under conditions of artificial medium cultivation. Agric. Sci. Chin., 6: 296-303.
CrossRef  |  Direct Link  |  

Gawlik, B.M., F. Bo, A. Kettrup and H. Muntau, 1999. Characterisation of a second generation of European reference soils for sorption studies in the framework of chemical testing-Part I: Chemical composition and pedological properties. Sci. Total Environ., 229: 99-107.
Direct Link  |  

Genot, V., D. Buffet, X. Legrain, M.J. Goffaux, T. Cugnon and R. Oger et al., 2011. [To a sampling and personal fertility advice, the tools for decision support]. Biotechnol. Agron. Soc. Environ., 15: 657-668.
Direct Link  |  

Gibbons, J.D. and J.W. Pratt, 1975. P-values: Interpretation and methodology. Am. Stat., 29: 20-25.
Direct Link  |  

Grayston, S.J., C.D. Campbell, R.D. Bardgett, J.L. Mawdsley and C.D. Clegg et al., 2004. Assessing shifts in microbial community structure across a range of grasslands of differing management intensity using CLPP, PLFA and community DNA techniques. Applied Soil Ecol., 25: 63-84.
CrossRef  |  Direct Link  |  

Haas, D. and C. Keel, 2003. Regulation of antibiotic production in root-colonizing Pseudomonas spp. and relevance for biological control of plant disease. Ann. Rev. Phytopathol., 41: 117-153.
CrossRef  |  Direct Link  |  

Izquierdo, J.E., B.Z. Houlton and T.L. van Huysen, 2013. Evidence for progressive phosphorus limitation over long-term ecosystem development: Examination of a biogeochemical paradigm. Plant Soil, 367: 135-147.
Direct Link  |  

Josa, R., M.T. Mas, A.M.C. Verdu, K. Mederbal and Z. Regagba et al., 2011. [Herbal electronic pre-Saharan steppe (Zone d'THE Bayadh- Bresina) gelia Ar: A Amenta herr for integrated management systems postoraless]. I Congreso Investigacion en Agricultura para el Desarrollo.

Keutgen, A.J. and E. Pawelzik, 2007. Modifications of strawberry fruit antioxidant pools and fruit quality under NaCl stress. J. Agric. Food Chem., 55: 4066-4072.
PubMed  |  

Kuroiwa, M., K. Koba, K. Isobe, R. Tateno and A. Nakanishi et al., 2011. Gross nitrification rates in four Japanese forest soils: Heterotrophic versus autotrophic and the regulation factors for the nitrification. J. For. Res., 16: 363-373.
Direct Link  |  

Latigui, A., 1992. Effect of different fertilization of the eggplant and tomatoes grown out of ground on the potential of biotic macrosiphum euphorbiae. Ph.D Thesis, One Aix Marseille III France.

Latigui, A., J.M. Choi and C.W. Lee, 2011. Growth and nutrient uptake responses of Seolhyang strawberry to various ratios of ammonium to nitrate nitrogen in nutrient solution culture using inert media. Afr. J. Biotechnol., 10: 12567-12574.
CrossRef  |  Direct Link  |  

Lauber, C.L., M. Hamady, R. Knight and N. Fierer, 2009. Pyrosequencing-based assessment of soil pH as a predictor of soil bacterial community structure at the continental scale. Applied Environ. Microbiol., 75: 5111-5120.
CrossRef  |  Direct Link  |  

Maddock, J.E. and J.S. Rossi, 2001. Statistical power of articles published in three health-psychology related journals. Health Psychol., 20: 76-78.
Direct Link  |  

Marschner, P., D.E. Crowley and C.H. Yang, 2004. Development of specific rhizosphere bacterial communities in relation to plant species, nutrition and soil type. Plant Soil, 261: 199-208.
CrossRef  |  Direct Link  |  

Matsushima, M., W.J. Choi and K. Inubushi, 2009. Nitrification inhibitor reduces nitrous oxide production from different soil profiles of an Andosol soil. Commun. Soil Sci. Plant Anal., 40: 3181-3193.
Direct Link  |  

Medina, E., C. Paredes, M.A. Bustamante, R. Moral and J. Moreno-Caselles, 2012. Relationships between soil physico-chemical, chemical and biological properties in a soil amended with spent mushroom substrate. Geoderma, 173-174: 152-161.
CrossRef  |  Direct Link  |  

Mengel, K. and E.A. Kirkby, 2001. Principles of Plant Nutrition. 5th Edn., Kluwer Academic Publishers, Dordrecht, Netherland, ISBN-13: 9781402000089, Pages: 849.

Nannipieri, P., L. Giagnoni, G. Renella, E. Puglisi and B. Ceccanti et al., 2012. Soil enzymology: Classical and molecular approaches. Biol. Fertil. Soils, 48: 743-762.
Direct Link  |  

Norton, J.M. and J.M. Stark, 2011. Regulation and Measurement of Nitrification in Terrestrial Systems. In: Methods in Enzymology, Glotz, M.G. (Ed.). Vol. 486, Academic Press, Burlington, pp: 343-368.

Pandey, V.C., K. Singh, B. Singh and R.P. Singh, 2011. New approaches to enhance eco-restoration efficiency of degraded sodic lands: Critical research needs and future prospects. Ecol. Restoration, 29: 322-325.
Direct Link  |  

Paul, K.M. and J.A. Plucker, 2004. Two steps forward, one step back: Effect size reporting in gifted education research from 1995-2000. Roeper Rev., 26: 68-72.
Direct Link  |  

Peltzer, D.A., D.A. Wardle, V.J. Allison, W.T. Baisden and R.D. Bardgett et al., 2010. Understanding ecosystem retrogression. Ecol. Monogr., 80: 509-529.
Direct Link  |  

Petard, J., 1993. The Analyses Methods Tome Soils Analyses. Orstom Publisher, French West African, USA.

Raven, P.H., L.R. Berg and D.M. Hassenzahl, 2010. Environment. John Wiley & Sons, Inc., USA.

Roux, X., 2005. Effects of grazing on microbial functional groups involved in soil N dynamics. Ecol. Monographs, 75: 65-80.
Direct Link  |  

Saied, A.S., A.J. Keutgen and G. Noga, 2005. The influence of NaCl salinity on growth, yield and fruit quality of strawberry cvs. 'Elsanta' and 'Korona'. Sci. Hortic., 103: 289-303.
CrossRef  |  Direct Link  |  

Serjeant, E.P. and B. Dempsey, 1979. Ionization Constants of Organic Acids in Solution, IUPAC Chemical Data Series No. 23. Pergamon Press, Oxford, UK.

Singh, K., B. Singh and R.R. Singh, 2012. Changes in physico-chemical, microbial and enzymatic activities during restoration of degraded sodic land: Ecological suitability of mixed forest over monoculture plantation. Catena, 96: 57-67.
CrossRef  |  Direct Link  |  

Sinsabaugh, R.L., R.K. Antibus, A.E. Linkins, C.A. Mcclaugherty, L. Rayburn, D. Repert and T. Weiland, 1993. Wood decomposition: Nitrogen and phosphorus dynamics in relation to extracellular enzyme activity. Ecology, 74: 1586-1593.
Direct Link  |  

Skiredj, A., 2005. Fertigation of vegetable crops. General and Calculation of Nutrient Solutions. Department of Horticulture/IAV Hassan II/Rabat-Morocco.

Tagliavini, M., E. Baldi, P. Lucchi, M. Antonelli, G. Sorrenti, G. Baruzzi and W. Faedi, 2005. Dynamics of nutrients uptake by strawberry plants (Fragaria x Ananassa Dutch.) grown in soil and soilless culture. Eur. J. Agron., 23: 15-25.
CrossRef  |  Direct Link  |  

Tong, D. and R. Xu, 2012. Effects of urea and (NH4)2SO4 on nitrification and acidification of ultisols from Southern China. J. Environ. Sci., 24: 682-689.
Direct Link  |  

Urrestarazu, M., M. del Carmen Salas, D. Valera, A. Gomez and P.C. Mazuela, 2008. Effects of heating nutrient solution on water and mineral uptake and early yield of two cucurbits under soilless culture. J. Plant Nutr., 31: 527-538.
CrossRef  |  Direct Link  |  

Vaughn, S.F., N.A. Deppe, D.E. Palmquist and M.A. Berhow, 2011. Extracted sweet corn tassels as a renewable alternative to peat in greenhouse substrates. Ind. Crops Products, 33: 514-517.
CrossRef  |  Direct Link  |  

Vdovic, N., J. Obhodas and K. Pikelj, 2010. Revisiting the particle-size distribution of soils: Comparison of different methods and sample pre-treatments. Eur. J. Soil Sci., 61: 854-864.
Direct Link  |  

Wardle, D.A., L.R. Walker and R.D. Bardgett, 2004. Ecosystem properties and forest decline in contrasting long-term chronosequences. Science, 305: 509-513.
CrossRef  |  Direct Link  |  

Wong, V.N.L., R.S.B. Greene, R.C. Dalal and B.W. Murphy, 2010. Soil carbon dynamics in saline and sodic soils: A review. Soil Use Manage., 26: 2-11.
Direct Link  |  

Yuan, B.C., Z.Z. Li, H. Liu, M. Gao and Y.Y. Zhang, 2007. Microbial biomass and activity in salt affected soils under arid conditions. Applied Soil. Ecol., 35: 319-328.
CrossRef  |  Direct Link  |  

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