Siwa Oasis Research Articles

Effect of Water Table on Soil and Wheat Productivity in Siwa Oasis

Effect of Water Table on Soil and Wheat Productivity in Siwa Oasis

A conceptual framework for characterization of agricultural heritage in desert-prone areas

PurposeThis study aims to propose a comprehensive conceptual framework for the characterization of agricultural heritage in desert-prone areas, with a focus on Siwa Oasis in Egypt.Design/methodology/approachThe research utilizes a multidimensional approach, integrating perspectives from sustainability principles, stakeholders and the agricultural heritage frameworks of the United Nations Educational, Scientific and Cultural Organization (UNESCO) and Food and Agricultural Organization (FAO). It involves thematic analysis of qualitative data collected through focus group discussions and interviews with a diverse range of participants, including community members, government officials, nongovernmental organizations (NGOs) and researchers.FindingsThe study identifies five key elements of agricultural heritage in Siwa Oasis: cultural, ecological, economic, social and scientific. Cultural elements include traditional farming practices, irrigation systems and architectural features, while ecological elements encompass crop biodiversity, wildlife habitats and traditional landraces. Economically, date palm cultivation, olive production and agritourism activities play crucial roles in livelihood security and local economies. Socially, community cohesion, gender roles and cultural practices shape the social fabric of the oasis, with festivals and rituals fostering a sense of belonging. From a scientific perspective, the integration of traditional knowledge with modern agricultural practices enhances sustainability and resilience.Research limitations/implicationsThe study focused solely on Siwa Oasis as a case study, limiting generalizability to other desert-prone areas. Further research could explore additional regions to enhance the understanding of agricultural heritage in diverse contexts. Additionally, the qualitative nature of the study may limit statistical analysis. Future studies could employ mixed-methods approaches for a more comprehensive understanding of agricultural heritage dynamics.Practical implicationsUnderstanding the multifaceted aspects of agricultural heritage in Siwa Oasis can inform sustainable development initiatives, tourism planning and cultural preservation efforts. Local policymakers and stakeholders can utilize these insights to develop policies that support traditional farming practices, ecotourism and community development. Furthermore, the promotion of agricultural heritage can enhance economic opportunities, food security and environmental sustainability in desert-prone regions.Social implicationsRecognition of the social elements embedded within Siwa Oasis’s agricultural heritage highlights the importance of community cohesion, gender roles and cultural practices. By acknowledging and preserving these aspects, initiatives can be developed to empower local communities, promote gender equality and preserve cultural identity. Such efforts can enhance social cohesion, strengthen cultural bonds and promote inclusivity in the development agenda of desert-prone areas.Originality/valueThis study contributes a novel conceptual framework that bridges multifunctionality concepts, sustainability principles and stakeholder perspectives to characterize agricultural heritage in desert-prone areas. It offers insights into the complex interplay of cultural, ecological, economic, social and scientific dimensions of agricultural heritage systems.

Zeus-Amun from the Perspective of the Concept of Divine Revelation and Manifestations of Political and Religious Propaganda in the Siwa Oasis "Applied Study on A group of Unpublished Greco- Roman Coins

Zeus-Amun from the Perspective of the Concept of Divine Revelation and Manifestations of Political and Religious Propaganda in the Siwa Oasis "Applied Study on A group of Unpublished Greco- Roman Coins

The Heritage and Natural Components of the Egyptian Oases "Applied Study on the Siwa Oasis as A Model"

The Heritage and Natural Components of the Egyptian Oases "Applied Study on the Siwa Oasis as A Model"

Comprehensive approach integrating remote sensing, machine learning, and physicochemical parameters to detect hydrodynamic conditions and groundwater quality deterioration in non-rechargeable aquifer systems

The current study integrates remote sensing, machine learning, and physicochemical parameters to detect hydrodynamic conditions and groundwater quality deterioration in non-rechargeable aquifer systems. Fifty-two water samples were collected from all water resources in Siwa Oasis and analyzed for physical (pH, T°C, EC, and TDS) chemical (SO42−, HCO3−, NO3−, Cl−, CO32−, SiO2, Mg2+, Na+, Ca2+, and K+), and trace metals (AL, Fe, Sr, Ba, B, and Mn). A digital elevation model supported by machine learning was used to predict the change in the land cover (surface lake area, soil salinity, and water logging) and its effect on water quality deterioration. The groundwater circulation and interaction between the deep aquifer (NSSA) and shallow aquifer (TCA) were detected from the pressure-depth profile of 27 production wells penetrating NSSA. The chemical facies evolution in the aquifer systems were (Ca–Mg–HCO3) in the first stage (freshwater of NSSA) and changed to (Na–Cl) type in the last stage (brackish water of TCA and springs). Support vector machine successfully predicted the rapid increase of the hypersaline lake area from 22.6 km2 to 60.6 km2 within 30 years, which deteriorated a large part of the cultivated land, reflecting the environmental risk of over-extraction of water for irrigation of agricultural land by flooding technique and lack of suitable drainage network. The waterlogging in the study was due to a reduction in the infiltration rate (low permeability) of the soil and quaternary aquifer. The cause of this issue could be a complete saturation of agricultural water with chrysotile, calcite, talc, dolomite, gibbsite, chlorite, Ca-montmorillonite, illite, hematite, kaolinite and K-mica (saturation index >1), giving the chance of these minerals to precipitate in the pore spaces of the soil and decrease the infiltration rate. The NSSA is appropriate for irrigation, whereas TCA is inappropriate due to potential salinity and magnesium risks. The best way to manage water resources in Siwa Oasis could be to use underground drip irrigation and combine water with TCA and NSSA.

Groundwater Quality Assessment in Siwa Oasis, Egypt, Using Different Indicators and GIS

Groundwater Quality Assessment in Siwa Oasis, Egypt, Using Different Indicators and GIS

Assessing and segmenting salt-affected soils using in-situ EC measurements, remote sensing, and a modified deep learning MU-NET convolutional neural network

A study revealed that the Siwa Oasis faces high soil salinity, which negatively impacts agricultural areas and crop productivity, despite its significant economic and agricultural importance. The current research proposes an approach to detect and segment salinity and vegetation areas at Siwa Oasis, Egypt, by combining remote sensing and building a deep learning neural network model-based U-NET algorithm to detect salinity change areas, anticipate further degradation, and predict soil quality indicators. To locate changes among the available images, standard image improvement, classification, and change detection methods have been used. We applied a deep learning modified U-Net (MU-NET) algorithm to segment and produce salinity maps. The MU-NET architecture is a two-level nested U-structure merged with a residual U-block (RUb), which consists of an encoder and a decoder. We applied RUb, which consists of several layers and skip connections. Different combinations of the salinity and vegetation indices were added to the original image to improve segmentation precision. The model was validated and trained using actual data samples collected over a 10-year period from the Landsat 8 satellite, which can monitor and analyse present land cover changes. The dataset consisted of 91 OLI and TIRS spectral images. Each one consists of eleven bands with a spatial resolution of 30 m for bands 1 to 7 and 9. A field survey was used as the main source of data for comparing the proposed model's outputs to assess the error rate. The study region is experiencing an increase in soil salinity in all directions, particularly with regard to the spatial distribution of saline soils, not just the quantitative increase in salt-affected soils. These findings supported the acceleration of soil salinization and vegetation death. The proposed model achieved the highest performance results among the other models and literature and was based on applying method 12 using 13 image layers, with the highest accuracies of 91.27% and 90.83% for salinity and vegetation, respectively.

Evaluation of Different Soil Salinity Indices Using Remote Sensing Techniques in Siwa Oasis, Egypt

Detecting and monitoring changes in soil salinity through remote sensing provides an opportunity for field assessment in regions where on-site measurements are limited. This research, conducted in Siwa Oasis, Egypt, aimed to assess the effectiveness of remote sensing techniques in detecting and monitoring changes in soil salinity. Using Landsat 5 and Landsat 7 satellite images, the researchers evaluated various soil salinity indices based on 56 on-site ground measurements. The study aimed to improve the correlation between electrical conductivity (EC) and index values and explore the relationship between salinity and changes in land cover. Eleven spectral indices were calculated for nine scenes captured in different months. Different approaches were employed, including stacking the data, categorizing EC measurements into salinity levels, analyzing data temporally, and conducting spatial correlation analysis. The initial approach revealed a weak correlation, due to substantial variation in EC values. However, the salinity index SI demonstrated the highest correlation coefficient of 0.38. In the second scenario, the salinity index 2 S2 index exhibited the highest correlation of 0.96 for moderate salinity samples. The third scenario showed that the salinity index 1S1 achieved the highest correlation value of 0.99 for moderately saline areas. In the fourth scenario, the SI index exhibited the strongest correlation among all four ponds, with correlation coefficients of 0.23, 0.23, 0.18, and 0.61. Notably, the correlations observed in the second and third scenarios demonstrated higher correlation coefficients than those of both the first and fourth scenarios. Additionally, remote sensing methods detected a 48% increase in total vegetated area over 17 years, showing the potential of remote sensing techniques in salinity monitoring for expanding agriculture and improving land management.

Whom to Remember – How to Return? Brigitte Schiffer, the Voices of Siwa and the Entangled History of the Berlin School of Ethnomusicology

For some years now, there has been an intense and controversial debate about the relationship between the culture of memory and research into the consequences of colonialism, on the one hand, and the Holocaust, on the other. Michael Rothberg's concept of multidirectional memory and Nathan Sznaider's contribution to the debate on the vanishing points of memory ("Fluchtpunkte der Erinnerung") provide only a few of several examples. Using the recordings of the German-Jewish composer and ethnomusicologist Brigitte Schiffer, made at the oasis of Siwa in the Sahara in 1932/33, as a case study, the article reflects on the implications of this debate for dealing with the so-called Berlin School of comparative musicology. Beyond that, the article asks how the complexity of competing memory discourses affects current approaches and efforts of decolonizing archives and identifies perspectives and strategies for how to handle such collections today, especially regarding the chances and challenges of so-called recirculation.

Characterization of the major aerosol species over Egypt based on 10 years of CAMS reanalysis data

This study investigates the spatiotemporal distribution of the major aerosol species (sulfate, organic matter, black carbon, dust, and sea salt) and their contributions to the total aerosol optical depth (AOD) over Egypt from 2010 to 2019 by using the Copernicus Atmosphere Monitoring Service (CAMS) reanalysis data. Dust was the major aerosol species, with an average contribution of 48% to the total AOD. The highest concentrations of dust were found in spring because of the significant impact of the Khamsin wind in carrying sand aerosols from deserts. The dispersion of dust aerosols is greatly influenced by topography. While lowlands, such as the Qattara Depression, accumulate sand aerosols from the surroundings, the mountainous highlands disrupt horizontal diffusion. El-Farafra and Siwa Oasis, which are close to the Qattara depression, had significant dust contributions to the total AOD. Because the Nile Delta, Suez Canal, and Nile River regions are densely populated and industrialized, organic matter and sulfate showed considerable contributions of 24% and 23%, respectively, to the total AOD. The highest concentrations of organic matter and sulfate were found in summer because of the high temperatures that accelerate photochemical reactions. While fossil fuels and biomass burning increase carbon emissions in cities such as Cairo and Tanta, shipping in the Suez Canal and natural gas flares in the eastern Mediterranean increase sulfate aerosols in cities such as Port Said, Suez, and Arish. Black carbon and sea salt were the minor aerosol species, with average contributions of 3% and 2%, respectively, to the total AOD.

Application of stable isotopes, mixing models, and K-means cluster analysis to detect recharge and salinity origins in Siwa Oasis, Egypt

Waterlogging, soil salinization, and groundwater depletion in non-rechargeable aquifers are among the causes endangering the sustainability of Siwa Oasis. The water resources include the tertiary carbonate aquifer (TCA), Nubian sandstone aquifer (NSSA), springs, drains, and hypersaline lakes. Geophysical logs were used to identify various aquifer systems. Stable isotopes, major ions, and heavy metals were examined. K-means cluster analysis based on principal component analysis (PCA), hydrochemistry, stable isotopes, and mixing models using NETPATH were applied in order to understand the complex hydrogeological conditions in the different aquifer systems. The results showed that all water samples were under-saturated (SI < 1) with respect to anhydrite, halite, and gypsum minerals, indicating the water's ability to dissolve more from these minerals and increase water salinity.In contrast, calcite, dolomite, Ca-montmorillonite, and illite minerals were supersaturated in most water samples (SI > 1), showing their ability to precipitate these minerals. There is no recharge for the aquifer systems, and all the groundwater resources have paleo meteoric origin, where the maximum values of δ18O and δ2H are −8.45 and −65.63, respectively. All of the springs originated from the TCA, as indicated from the K-mean cluster analysis. There is a rapid increase in the water salinity of the TCA from 1998 to 2022 due to evaporation, rock weathering, mixing with old trapped sea water, and seepage of saline water from salt lakes. The significant variations in the water salinity of the TCA aquifer are due to the mixing between fresh water of NSSA (dilution) and salt water from Zeituna and Siwa lakes through downward flow in some locations, where over-extraction of water for irrigation purposes has decreased the water pressure in the TCA. The mixing model confirmed salt lakes' contribution in increasing the TCA salinity by 2%–4%. Mixing water from TCA and NSSA could be the best management of the water resources in Siwa Oasis, as well as the application of subsurface drip irrigation.

Optimal design and analyzing the techno-economic-environmental viability for different configurations of an autonomous hybrid power system

In the present day, there is widespread acceptance of autonomous hybrid power systems (AHPSs) that rely on renewable energy sources (RESs), owing to their minimal adverse effects on the environment. This paper evaluates and compares three various AHPS configurations comprising photovoltaic (PV) modules, wind turbines (WTs), batteries, and diesel generators (DGs), using a recent optimization approach. A new optimizer 'Dandelion-Optimizer' (DO) is applied to tackle design problems. Real-time meteorological data from Siwa Oasis in northwest Egypt was utilized to determine an optimum design of system components for the purpose of providing sustainable power to this remote region. The system configurations are effectively modelled and optimized to achieve the minimum cost of energy (COE), while also minimizing the loss of power supply probability (LPSP) and carbon dioxide (CO2) emissions. As per the results, the last configuration (PV with both backup equipment) is the most optimal one in terms of the lowest cost, whereas the first configuration (PV and WT with both types of backup equipment) is the most optimal one with regards to the lowest carbon emissions.

Irrigation Water Management in a Water-Scarce Environment in the Context of Climate Change

Climate change has a considerable impact on irrigated agriculture, which is vital for food and fiber production. In this study, in the context of climate change, simulation model CROPWAT 8 was employed to compute the reference evapotranspiration, and net irrigation water requirement for wheat, barley, maize, sugar beet, potato, tomato, and date palm. In addition, the WaterGEMS model was utilized to design a new sprinkler irrigation system to run long-term simulations of hydraulic behavior within pressurized pipe networks to irrigate 43 acres for two arid sites (Siwa Oasis and West Elminya fields) inside the 1.5-million-acre groundwater irrigation project in the Egyptian western desert. Five scenarios for climate change were employed in the current (1991–2023), representative concentration path (RCP) 8.5 greenhouse gas emission scenarios for the 2040s, 2060s, 2080s, and 2100s. Mean ETo values for the current scenario show 4.56 and 5.7 mm for the Siwa Oasis and West Elminya fields, respectively. The climate changes cause an increase of the reference evapotranspiration by 4.6, 5.9, 9.4, and 12.7% for RCP: 8.5 greenhouse gas emissions for the 2040s, 2060s, 2080s, and 2100s scenarios, respectively, for the Siwa Oasis field. On the other hand, an increased ratio for the reference evapotranspiration by 4.2, 5.4, 8.6, and 11.6% was observed for the scenarios in the West Elminya field, respectively. The designed sprinkler system indicated a capacity of 111.4 m3 h−1 and 167 m3 h−1 for Siwa and West Elminya fields, respectively. The study suggests using crop patterns for wheat, barley, potato, and sugar beet to save irrigation water.Graphical abstract

New approach into human health risk assessment associated with heavy metals in surface water and groundwater using Monte Carlo Method

This study assessed the environmental and health risks associated with heavy metals in the water resources of Egypt's northwestern desert. The current approaches included the Spearman correlation matrix, principal component analysis, and cluster analysis to identify pollution sources and quality-controlling factors. Various indices (HPI, MI, HQ, HI, and CR) were applied to evaluate environmental and human health risks. Additionally, the Monte Carlo method was employed for probabilistic carcinogenic and non-carcinogenic risk assessment via oral and dermal exposure routes in adults and children. Notably, all water resources exhibited high pollution risks with HPI and MI values exceeding permissible limits (HPI > 100 and MI > 6), respectively. Furthermore, HI oral values indicated significant non-carcinogenic risks to both adults and children, while dermal contact posed a high risk to 19.4% of samples for adults and 77.6% of samples for children (HI > 1). Most water samples exhibited CR values exceeding 1 × 10–4 for Cd, Cr, and Pb, suggesting vulnerability to carcinogenic effects in both age groups. Monte Carlo simulations reinforced these findings, indicating a significant carcinogenic impact on children and adults. Consequently, comprehensive water treatment measures are urgently needed to mitigate carcinogenic and non-carcinogenic health risks in Siwa Oasis.

The Middle Miocene Microfacies, Cyclicity, and Depositional History: Implications on the Marmarica Formation at the Siwa Oasis, Western Desert (Egypt)

Microfacies studies were carried out on the Middle Miocene Marmarica Formation exposed at the Gabal Western Bahi El-Din and Gabal El-Najdeen, the Siwa Oasis, northwestern Desert (Egypt). It was distinguished into the lower, middle, and upper members. Eleven microfacies types were recognized, which include skeletal lime-mudstone, dolomitic lime-mudstone, intraclastic wackestone, bryozoan wackestone, foraminiferal wackestone, foraminiferal bryozoan packstone, glauconitic molluscan packstone, molluscan intraclastic packstone, pelletal peloidal skeletal packstone, dolostones, and claystone microfacies. This formation includes several types of emergence- meter-scale cycles (shallowing-upward). Field observations and petrographic analyses revealed that these cycles consist of pure carbonates and mixed siliciclastic carbonates. These cycles consist of four types of gradual cycles and six types of non-gradual cycles. The gradual emergence cycles indicate a balance between the rate of subsidence, sea level oscillations, and sedimentation rate. The non-gradual cycles indicate an irregular balance between sedimentation rate and subsidence rate. The non-gradual cycles denote high-frequency sea level variation and/or short-term sea level oscillations, which are associated with high carbonate formation. The depositional environments of the Marmarica Formation are restricted to lagoonal at the base, followed upward to open marine conditions. Both environments most probably characterize the platform setting.

Effect of the Addition of Moringa Oleifera Leaves on Reproduction, Hematological, Biochemical Parameters, and Milk Yield and Composition of Goats Under Arid Conditions of Siwa Oasis

The objective of the present study was to investigate the potential benefits of supplementing Moringa oleifera leaves on various aspects of Baladi goat health and productivity under arid conditions in Siwa Oasis. Specifically, the study aimed to assess the effects on hematological and biochemical parameters, milk production and composition, and reproduction. A total of 30 healthy Baladi goats, with an average weight of 19.70 ± 0.36 kg, were randomly assigned to two experimental groups: the control (C) group, which received a basal diet without Moringa oleifera leaves, and the treatment (T) group, which received the basal diet supplemented with Moringa oleifera leaves at a rate of 50 grams/doe/day throughout the experimental period. The findings revealed that feeding goats with Moringa oleifera leaves led to increased milk productivity compared to the control group. Specifically, milk yield and all milk components, except for ash, were significantly higher (P &lt; 0.05) in the Moringa-treated group. Moreover, the Moringa group exhibited significantly higher levels of Hb concentration, RBC, PCV, and MCV compared to the control group. However, there were no significant differences in MCH and MCHC between the two groups. Interestingly, the control group showed a significant increase in WBC compared to the Moringa group. In terms of biochemical parameters, the results demonstrated a decrease in cholesterol and urea concentrations in Baladi goats fed with Moringa oleifera leaves. Conversely, the Moringa group exhibited significantly higher levels of serum total protein, glucose, and albumin compared to the control group. Furthermore, supplementation with Moringa oleifera leaves significantly improved kidding and weaning rates, as well as litter size in Baladi goats and decrease of mortality rates. Overall, the findings suggest that incorporating Moringa oleifera leaves into the diets of Baladi goats can enhance reproductive performance, milk production and composition, without any negative effects on the haemato-biochemical profile.

Effect of Yeast and Planting Distances on Productivity and Volatile Oil of Rosmarinus officinalis L. Plant under Siwa Oasis Conditions

Effect of Yeast and Planting Distances on Productivity and Volatile Oil of Rosmarinus officinalis L. Plant under Siwa Oasis Conditions

The interplay of tourism economy and food security in dessert-prone agricultural heritage sites

PurposeThe purpose of this study is to examine how the tourism economy affects local food availability, access, utilization and stability in dessert-prone agricultural heritage sites. Specifically, the study aims to explore the relationship between the tourism industry and local agricultural practices and how this connection influences food security in the Siwa Oasis, located in the Western Desert of Egypt.Design/methodology/approachThe study employs a qualitative exploratory research design using in-depth interviews and focus groups to investigate the impact of the tourism economy on food security and identify potential benefits and limitations for food security in the region.FindingsThe research reveals that the tourism economy in Siwa Oasis has only a marginal contribution to food security. The study highlights a lack of a strong connection between the tourism industry and local agricultural practices within the heritage site. As a result, the potential benefits and synergies that could be achieved between tourism and agriculture have not been fully realized, leading to a limited impact on food stability.Research limitations/implicationsThis study primarily relies on qualitative data from Siwa Oasis, Egypt, which may limit the generalizability of findings beyond this specific context. Additionally, while the study provides valuable insights into the complex relationship between tourism and food security, it does not quantitatively measure the magnitude of tourism's impact. Future research could incorporate quantitative methods for a more comprehensive understanding of this relationship in diverse desert-prone regions. Finally, the study highlights the need for more integrated approaches to enhance food security through tourism, but the specific strategies and policy recommendations require further investigation and adaptation to local contexts.Practical implicationsThis study underscores the need for tourism development strategies that prioritize food security in desert-prone areas like Siwa Oasis. Policymakers and stakeholders should promote sustainable tourism practices that enhance local agriculture, create diversified income sources and foster equitable benefits for communities. Moreover, recognizing the seasonal nature of tourism, interventions to address food shortages during off-peak periods are crucial. Efforts should also focus on skill development and gender-inclusive opportunities within the tourism sector to ensure broader community participation. Additionally, collaborations between tourism and agriculture should be encouraged to optimize food availability and stability while preserving cultural food traditions.Originality/valueThis study adds original insights by examining the specific impact of the tourism economy on food security in dessert-prone agricultural heritage sites. The study's originality lies in its exploration of the untapped potential for synergy between the tourism and agricultural sectors and the implications for local food security. This research contributes to understanding how tourism can improve food security in specific contexts and provides valuable insights into sustainable development in heritage sites.

Integration of Geophysical and Geospatial Techniques to Evaluate Geothermal Energy at Siwa Oasis, Western Desert, Egypt

Environmental degradation is reducing crop productivity in many regions of Egypt. Moreover, unsustainable surface water drainage contributes to salinized soil conditions, which negatively impact crops. Egypt is seeking solutions to mitigate the problem of surface water drawdown and its consequences by exploring renewable and sustainable sources of energy. Geothermal energy and the desalination of saline water represent the only solutions to overcoming the fresh water shortage in agricultural industry and to providing sustainable fresh water and electricity to villages and the Bedouin livelihood. In Egypt, the Siwa Oasis contains a cluster of thermal springs, making the area an ideal location for geothermal exploration. Some of these thermal springs are characterized by high surface temperatures reaching 20 °C to 40 °C, and the bottom-hole temperatures (BHT) range from 21 °C to 121.7 °C. Pre-Cambrian basement rocks are usually more than 440 m deep, ranging from 440 m to 4724.4 m deep. It is this feature that makes the Siwa Oasis locality sufficient for geothermal power production and industrial processes. This study utilized both the Horner and the Gulf of Mexico correction methods to determine the formation temperatures from BHT data acquired from 27 deep oil wells. The present study revealed a geothermal gradient ranging from 18 to 42 °C/km, a heat flux of 24.7–111.3 mW/m2, and a thermal conductivity of 1.3–2.65 W/m/k. The derived geothermal, geophysical, and geological layers were combined together with space data and the topographic layer to map relevant physiographic variables including land surface elevation, depth to basement, lineament density, land surface temperature, and geologic rock units. The ten produced variables were integrated in GIS to model the geothermal potential map (GTP) for the Siwa Oasis region. According to the model, both the eastern side and north and northeastern portions of the study region contain high and very high geothermal potential energy. Combining bottom-hole temperature measurements with satellite remote sensing and geospatial analysis can considerably enhance geothermal prospecting in Egypt and other East African areas that have geologically and tectonically similar settings. In addition to identifying sustainable resources needed for food production, this research has implications for renewable energy resources as well.

Using of Biofertilizers and Some Micronutrients in Improving Onion Productivity under Siwa Oasis Conditions

Using of Biofertilizers and Some Micronutrients in Improving Onion Productivity under Siwa Oasis Conditions