Genotype × environment interaction and stability analysis for some economic characters in snap bean

Twenty-one new promising lines in addition to four standard cultivars of snap bean (Phaseolus vulgaris L.) were evaluated under eight environmental conditions (four sowing dates in two seasons of 2015/2016 and 2016/2017). A randomized complete block design (RCBD) with three replicates was used for each sowing date at Barrage Horticulture Research Station (BHRS), Qalubia Governorate, Horticulture Research Institute (HRI), Agricultural Research Center (ARC), Egypt. Data were recorded for some traits i.e., number of days to flowering, pod length, pod diameter, fiber content, total green yield and rust disease severity. The results showed that the linear response of environments was highly significant for all studied characters, indicating the differences between environmental conditions and their considerable influence on these traits. Mean squares of genotypes (G) were highly significant for all studied traits, suggesting the presence of wide range of differences between studied genotypes concerning all investigated traits. Mean squares of the other main sources of variation, i.e., years (Y) and sowing dates (D) were also highly significant for all traits except year for total green yield/feddan trait. The mean square due to environment + (Genotypes × Environment) was significant for all studied traits, indicating that there was a considerable interaction of genotypes with environmental condition in different eight environments. Significance of Genotypes × Environment (linear), reveals that genotypes differed in their considerably across different environments. The linear response of environments was highly significant for total green yield trait, indicating that genotypes differed in their regression on the environmental index. The results of stability analysis conclude that the six new lines G1, G2, G3, G7, G10 and G18, were the most stable genotypes, which gave the maximum total green yield overall the eight studied environments and were adapted to environments for total green yield. It is evident that these genotypes could be used as stress tolerant genotypes under stressed environments

Biochemical Characterization for Lipid Synthesis in Aspergillus niger

A niger, a fungus which doesn't have high ability to production lipid, this fungus has been select to investigate the non oleaginicity. In this search, there are explorations about: i) growth profile ii) enzymes profile iii) isoforms. Growth profile shows that this fungus doesn't have ability to accumulate lipid more than 6% while bio mass are around 10g/l in spite of the presence of glucose in the media till the end of cultivation time and excision of nitrogen within 24 hrs. In enzyme study, we investigate all lipogenic enzymes Malic enzyme (ME), Fatty acid synthase (FAS), ATP: Citrate lays (ACL), NAD+ isocitrate dehydrogenase (NAD+ICDH), Glucose-6-phosphate (G6PD), and 6-phosphogluconate dehydrogenase (6PGD), all these enzymes show, activities till the end of cultivation time including ACL which is regarded the key enzyme to differentiate between the two species oleaginous and non oleaginous. So, there is no main reason to non oleaginicity for this fungus. A further experiment has been done using Polyacrylamide gel electrophoresis to identify ME isoforms. The result of Polyacrylamide gel electrophoresis shows multi isoforms (A, B, C, D & E), with low intensity of isoform E, the isoforms that may involve in lipid synthesis. We have now studied the biochemistry of A.niger grown under conditions designed to promote lipid accumulation and can now advance a coherent hypothesis to explain why A niger could not accumulate lipid more than 6%. So the absence of isoforme E is the main reason for non oleaginicity in A niger

The evolving SARS-CoV-2 epidemic in Africa: Insights from rapidly expanding genomic surveillance

INTRODUCTION Investment in Africa over the past year with regard to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequencing has led to a massive increase in the number of sequences, which, to date, exceeds 100,000 sequences generated to track the pandemic on the continent. These sequences have profoundly affected how public health officials in Africa have navigated the COVID-19 pandemic. RATIONALE We demonstrate how the first 100,000 SARS-CoV-2 sequences from Africa have helped monitor the epidemic on the continent, how genomic surveillance expanded over the course of the pandemic, and how we adapted our sequencing methods to deal with an evolving virus. Finally, we also examine how viral lineages have spread across the continent in a phylogeographic framework to gain insights into the underlying temporal and spatial transmission dynamics for several variants of concern (VOCs). RESULTS Our results indicate that the number of countries in Africa that can sequence the virus within their own borders is growing and that this is coupled with a shorter turnaround time from the time of sampling to sequence submission. Ongoing evolution necessitated the continual updating of primer sets, and, as a result, eight primer sets were designed in tandem with viral evolution and used to ensure effective sequencing of the virus. The pandemic unfolded through multiple waves of infection that were each driven by distinct genetic lineages, with B.1-like ancestral strains associated with the first pandemic wave of infections in 2020. Successive waves on the continent were fueled by different VOCs, with Alpha and Beta cocirculating in distinct spatial patterns during the second wave and Delta and Omicron affecting the whole continent during the third and fourth waves, respectively. Phylogeographic reconstruction points toward distinct differences in viral importation and exportation patterns associated with the Alpha, Beta, Delta, and Omicron variants and subvariants, when considering both Africa versus the rest of the world and viral dissemination within the continent. Our epidemiological and phylogenetic inferences therefore underscore the heterogeneous nature of the pandemic on the continent and highlight key insights and challenges, for instance, recognizing the limitations of low testing proportions. We also highlight the early warning capacity that genomic surveillance in Africa has had for the rest of the world with the detection of new lineages and variants, the most recent being the characterization of various Omicron subvariants. CONCLUSION Sustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve. This is important not only to help combat SARS-CoV-2 on the continent but also because it can be used as a platform to help address the many emerging and reemerging infectious disease threats in Africa. In particular, capacity building for local sequencing within countries or within the continent should be prioritized because this is generally associated with shorter turnaround times, providing the most benefit to local public health authorities tasked with pandemic response and mitigation and allowing for the fastest reaction to localized outbreaks. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century

A Novel Model of Data Storage Service in the Architecture Cloud Storage

Cloud storage is the lower layer of the cloud computing system that supports other layers above it. Up to now the likes of Google, Microsoft, IBM, Amazon have been providing cloud storage services. Since it’s efficient way to store and manage important data, the offer of free storage attracts researchers. As a result, cloud storage research will not only track trends, but will also have high application value. Therefore, this paper, introduces a novel model of data storage and backup in cloud storage, that optimally combines customer storage resources with service providers, so that redundancy, storage strategy and configuration properties can be adjusted adequately to the needs of the storage service consumer. In this paper, we review two of the backup technologies (Snapshot and D2D), that are used in this model. And the first contribution is bound to both determining consumer requirements and choosing the provider. Next— life cycle and phases of preparation model for data storage services. Furthermore, we present place and form of the model in cloud storage architecture. The model aims to increase the availability of data and reduces the loss of data in storage environments

A Novel Model of Data Storage Service in the Architecture Cloud Storage

Cloud storage is the lower layer of the cloud computing system that supports other layers above it. Up to now the likes of Google, Microsoft, IBM, Amazon have been providing cloud storage services. Since it’s efficient way to store and manage important data, the offer of free storage attracts researchers. As a result, cloud storage research will not only track trends, but will also have high application value. Therefore, this paper, introduces a novel model of data storage and backup in cloud storage, that optimally combines customer storage resources with service providers, so that redundancy, storage strategy and configuration properties can be adjusted adequately to the needs of the storage service consumer. In this paper, we review two of the backup technologies (Snapshot and D2D), that are used in this model. And the first contribution is bound to both determining consumer requirements and choosing the provider. Next— life cycle and phases of preparation model for data storage services. Furthermore, we present place and form of the model in cloud storage architecture. The model aims to increase the availability of data and reduces the loss of data in storage environments

Effect of Salinity on Seed Germination, Growth and Amino Acid Content in Fenugreek (Trigonella faenum-graecum L) Sprouts

This study was conducted to evaluate the effect of salt stress on amino acid profile and proximate analysis of fenugreek germination samples of two varieties: Giza 2 and Giza 30 for three days. The germination of sterilized fenugreek seeds was conducted using tap water and NaCl solution (2,000 ppm) where higher salt concentration lowered fenugreek germination quality. The germination of fenugreek seeds using tap water or brine increased the crude protein in both dry Giza 2 and Giza 30 seed varieties. Furthermore, sedative sprouts of Giza 30 recorded the highest crude protein (30.60%), fat (6.20%) and energy (333.13 kcal/g) while the use of sterilized Giza 2 seed variety recorded a higher percentage of carbohydrates (43.3%), fiber (8.10%) and ash (6.60%). Alternatively, although amino acid profiles indicated that aspartic acid and proline were most abundant in fenugreek sprouts, sulfur amino acids (cysteine and methionine) demonstrated the least values of the two varieties. Adopting saline water in germinating fenugreek seeds for the two Giza 2 and Giza 30 varieties decreased all amino acid contents compared with those of tap water treatment

Control of Gas Emissions (N₂O and CO₂) Associated with Applied Different Rates of Nitrogen and Their Influences on Growth, Productivity, and Physio-Biochemical Attributes of Green Bean Plants Grown under Different Irrigation Methods

The use of nitrogenous fertilizers in agriculture can cause uncontrolled gas emissions, such as N2O and CO2, leading to global warming and serious climate change. In this study, we evaluated the greenhouse gases emissions (GHGs) that are concomitant with applied different rates of N fertilization, such as 60%, 70%, 80%, 90%, 100%, 110%, and 120% of the recommended dose in green beans grown under three irrigation systems (surface, subsurface, and drip irrigation). The obtained results showed that GHGs were positively correlated with increasing the rate of N fertilization. Meanwhile, the subsurface irrigation system followed by drip irrigation achieved the highest significant (p ≤ 0.05) values regarding the growth and pod yield attributes. Furthermore, N supplements at 90% and/or 100% of the recommended dose under the subsurface irrigation system led to the highest concentration of chlorophyll, vitamin C, total protein, and activities of antioxidant enzymes, including catalase (CAT), superoxide dismutase (SOD), and peroxidase (POX). Proline and pod fibers were decreased in parallel with increasing the N rate, while water use efficiency (WUE) was improved with increasing the rate of N supplements up to 100% or 110% of the recommended dose

Control of Gas Emissions (N2O and CO2) Associated with Applied Different Rates of Nitrogen and Their Influences on Growth, Productivity, and Physio-Biochemical Attributes of Green Bean Plants Grown under Different Irrigation Methods

The use of nitrogenous fertilizers in agriculture can cause uncontrolled gas emissions, such as N2O and CO2, leading to global warming and serious climate change. In this study, we evaluated the greenhouse gases emissions (GHGs) that are concomitant with applied different rates of N fertilization, such as 60%, 70%, 80%, 90%, 100%, 110%, and 120% of the recommended dose in green beans grown under three irrigation systems (surface, subsurface, and drip irrigation). The obtained results showed that GHGs were positively correlated with increasing the rate of N fertilization. Meanwhile, the subsurface irrigation system followed by drip irrigation achieved the highest significant (p ≤ 0.05) values regarding the growth and pod yield attributes. Furthermore, N supplements at 90% and/or 100% of the recommended dose under the subsurface irrigation system led to the highest concentration of chlorophyll, vitamin C, total protein, and activities of antioxidant enzymes, including catalase (CAT), superoxide dismutase (SOD), and peroxidase (POX). Proline and pod fibers were decreased in parallel with increasing the N rate, while water use efficiency (WUE) was improved with increasing the rate of N supplements up to 100% or 110% of the recommended dose

Response of Diverse Peanut Cultivars to Nano and Conventional Calcium Forms under Alkaline Sandy Soil

This article belongs to the Special Issue Plant Nutrition Volume II[Abstract] Calcium is one of the most limiting factors for the growth and reproduction of peanut, which ultimately affects pod and seed yields. A two-year field experiment was carried out to assess the impact of five calcium applications, including nano-calcium and conventional forms, on growth, leaf nutrient content, yield traits, and quality parameters of three diverse peanut cultivars (Ismailia-1, Giza-5, and Giza-6). The applied calcium applications were calcium sulfate, which is recommended for commercial peanut cultivation and commonly referred to as gypsum (coded as Ca-1), calcium nitrate (Ca-2), nano-calcium nitrate (Ca-3), 50% calcium nitrate + 50% nano-calcium (Ca-4), and 50% calcium sulfate + 50% nano-calcium (Ca-5). Calcium sulfate (gypsum, Ca-1) was soil-supplied during the seedbed preparation as recommended, while the other calcium applications (Ca-2, Ca-3, Ca-4, and Ca-5) were exogenously sprayed three times at 30, 45, and 60 days after sowing. The soil of the experimental site was alkaline, with a high pH of 8.6. The results revealed significant differences among cultivars, calcium applications, and their interactions. The soil-supplied gypsum Ca-1 displayed lower agronomic performance on all recorded growth, leaf nutrient content, yield traits, and quality parameters. On the other hand, the foliar-supplied calcium, particularly Ca-4 and Ca-5, displayed superior effects compared to the other simple calcium forms. Ca-4 and Ca-5 produced significantly higher seed yield (3.58 and 3.38 t/ha) than the simple recommended form (Ca-1, 2.34 t/ha). This could be due to the difficulty of calcium uptake from soil-supplied calcium under high soil pH compared to the exogenously sprayed nano-calcium form. Moreover, the superior performance of Ca-4 and Ca-5 could be caused by the mixture of fertilizers from the synergistic effect of calcium and nitrate or sulfate. Furthermore, the effect of nitrate was applied in nano form in the Ca4 and Ca-5 treatments, which contributed to improving nutrient uptake efficiency and plant growth compared to the other treatments. The peanut cultivar Giza-6 showed superiority for most measured traits over the other two cultivars. The interaction effect between the assessed cultivars and calcium applications was significant for various traits. The cultivar Giza-6 showed a significant advantage for most measured traits with the mixture of 50% calcium nitrate + 50% nano-calcium (Ca-4). Conclusively, the results pointed out the advantage of the exogenously sprayed nano-calcium form combined with calcium nitrate or calcium sulfate for promoting growth, leaf nutrient content, yield, and quality traits of peanut, particularly with high-yielding cultivars under sandy soil with high pH.This research was funded by the Deputyship for Research and Innovation, “Ministry of Education”, in Saudi Arabia, research number (IFKSUOR3-106-3)Arabia Saudí. Ministry of Education; IFKSUOR3-106-

Influence of Nano-Chitosan Loaded with Potassium on Potassium Fractionation in Sandy Soil and Strawberry Productivity and Quality

Under sandy soil conditions, increasing the efficiency of potassium (K) fertilizers is considered to be a major limiting factor for improving the productivity and quality of fruit crops. In this context, utilizing nanotechnology has emerged as a novel technique to increase the efficiency of K applications. In our study, two field trials were conducted, in two consecutive seasons (2019/2020 and 2020/2021), to compare the effects of nano-chitosan loaded with K as a foliar treatment with those of conventional soil applications of K on plant growth, yield, and quality of strawberry plants grown in sandy soil. Strawberry plants were treated with 12 different treatments, which were replicated three times in a randomized complete block design in each growing season. Potassium sulfate (K2SO4, 48% K2O) was applied to the soil at a rate of 150.0 kg acre−1 (recommended rate, 100%). Meanwhile, the spraying of nano-chitosan loaded with K was applied at 1000 mg L−1 as a control. In addition, K2SO4 was applied either individually or in combination at the rate of 112.5 or 75.0 kg acre−1 with four nano-chitosan-K dosages (250, 500, 750, and 1000 mg L−1). After harvesting, soil samples were collected and prepared to determine K fractions. As well, plant samples were collected to determine the vegetative growth parameters and the foliage content of NPK and chlorophyll. Eventually, the yield traits and quality parameters were evaluated. A principal component analysis was conducted to determine the interrelationships of the treatments’ averages and their effects on yield components and quality traits. A combined analysis was performed for the two studied seasons and the values were the mean of six replications. The results indicated that the application of common K fertilizer (150.0 kg K2SO4 acre−1) resulted in the maximum increase in soluble and exchangeable K in the soil, which was comparable to those observed with 112.5 kg K2SO4 acre−1 + 1000 mg L−1 nano-chitosan-K and 112.5 K2SO4 acre−1 + 750 mg L−1 nano-chitosan-K. The total yield, marketable yield, and fruit firmness were all significantly increased by the latter two treatments compared to the control group. Furthermore, plots treated with 112.5 kg K2SO4 acre−1 + 1000 mg L−1 nano-chitosan-K significantly increased the total soluble solids, vitamin C levels, acidity, total sugar, and anthocyanin levels in strawberry fruits. In conclusion, under sandy soil conditions, the utilization of nanoparticles could be an indispensable tool for manipulating fertilization management when cultivating strawberries. The K status of the soil was improved by applying 75% of the recommended dose of mineral K in combination with 1000 or 750 mg L−1 of nano-chitosan-K, without compromising strawberry yield or quality