21 research outputs found

    Management of Biogate-Fert Technique Based on a Simulation Model

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    Biogate-fert technique ensures to optimization of fertilizer and water units yield of the potato crop. There were two field tests conducted in the growing seasons. 2019-2020 and 2020-2021, at the research farm of the National Research Centre in Nubaria region, Egypt to study the management of biogate-fert technique based on a developed SALTMED model on potato crop under drip irrigation system in sandy soil conditions. According to the findings, the SALTMED model demonstrated its capacity to forecast soil moisture availability, yield, total dry matter, and nitrogen (ppm) for two growing seasons when using mineral and biogte- fert approaches., In order to maximize crop production and nitrogen levels, the model can calculate how much irrigation supply will be needed to move the soil moisture profile from a given soil moisture to a target soil moisture. Furthermore, accurate estimation of the solute and nutrient status and uptake at the same time is contingent upon accurate simulation of nitrogen and soil moisture

    Complete genome sequence of Mycobacterium vaccae type strain ATCC 25954

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    Item does not contain fulltextMycobacterium vaccae is a rapidly growing, nontuberculous Mycobacterium species that is generally not considered a human pathogen and is of major pharmaceutical interest as an immunotherapeutic agent. We report here the annotated genome sequence of the M. vaccae type strain, ATCC 25954.1 november 201

    Complete genome sequence of Mycobacterium vaccae type strain ATCC 25954

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    Item does not contain fulltextMycobacterium vaccae is a rapidly growing, nontuberculous Mycobacterium species that is generally not considered a human pathogen and is of major pharmaceutical interest as an immunotherapeutic agent. We report here the annotated genome sequence of the M. vaccae type strain, ATCC 25954.1 november 201

    Genome-wide association study for systemic lupus erythematosus in an egyptian population

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    Systemic lupus erythematosus (SLE) susceptibility has a strong genetic component. Genome-wide association studies (GWAS) across trans-ancestral populations show both common and distinct genetic variants of susceptibility across European and Asian ancestries, while many other ethnic populations remain underexplored. We conducted the first SLE GWAS on Egyptians–an admixed North African/Middle Eastern population–using 537 patients and 883 controls. To identify novel susceptibility loci and replicate previously known loci, we performed imputation-based association analysis with 6,382,276 SNPs while accounting for individual admixture. We validated the association analysis using adaptive permutation tests (n = 109). We identified a novel genome-wide significant locus near IRS1/miR-5702 (Pcorrected = 1.98 × 10−8) and eight novel suggestive loci (Pcorrected 0.8) with lead SNPs from four suggestive loci (ARMC9, DIAPH3, IFLDT1, and ENTPD3) were associated with differential gene expression (3.5 × 10−95 < p < 1.0 × 10−2) across diverse tissues. These loci are involved in cellular proliferation and invasion—pathways prominent in lupus and nephritis. Our study highlights the utility of GWAS in an admixed Egyptian population for delineating new genetic associations and for understanding SLE pathogenesis

    Management of Biogate-Fert Technique Based on a Simulation Model

    No full text
    Biogate-fert technique ensures to optimization of fertilizer and water units yield of the potato crop. There were two field tests conducted in the growing seasons. 2019-2020 and 2020-2021, at the research farm of the National Research Centre in Nubaria region, Egypt to study the management of biogate-fert technique based on a developed SALTMED model on potato crop under drip irrigation system in sandy soil conditions. According to the findings, the SALTMED model demonstrated its capacity to forecast soil moisture availability, yield, total dry matter, and nitrogen (ppm) for two growing seasons when using mineral and biogte- fert approaches., In order to maximize crop production and nitrogen levels, the model can calculate how much irrigation supply will be needed to move the soil moisture profile from a given soil moisture to a target soil moisture. Furthermore, accurate estimation of the solute and nutrient status and uptake at the same time is contingent upon accurate simulation of nitrogen and soil moisture
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