48 research outputs found

    Impacts of Steel-Slag-Based Silicate Fertilizer on Soil Acidity and Silicon Availability and Metals-Immobilization in a Paddy Soil

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    <div><p>Slag-based silicate fertilizer has been widely used to improve soil silicon- availability and crop productivity. A consecutive early rice-late rice rotation experiment was conducted to test the impacts of steel slag on soil pH, silicon availability, rice growth and metals-immobilization in paddy soil. Our results show that application of slag at a rate above higher or equal to 1 600 mg plant-available SiO<sub>2</sub> per kg soil increased soil pH, dry weight of rice straw and grain, plant-available Si concentration and Si concentration in rice shoots compared with the control treatment. No significant accumulation of total cadmium (Cd) and lead (Pb) was noted in soil; rather, the exchangeable fraction of Cd significantly decreased. The cadmium concentrations in rice grains decreased significantly compared with the control treatment. In conclusion, application of steel slag reduced soil acidity, increased plant–availability of silicon, promoted rice growth and inhibited Cd transport to rice grain in the soil-plant system.</p></div

    Effect of steel slag fertilizer application on relative content of Cd and Pb in each fraction of soil.

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    <p>Effect of steel slag fertilizer application on relative content of Cd and Pb in each fraction of soil.</p

    Illustration of DLPCA compared with MLPA.

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    <p>(A) The modules in the gene co-expression network obtained using MLPA. (B) Introduction of the pathogenic information of some genes. Here, red nodes represent disease genes and black nodes represent non-disease genes. (C) The new modular structures in the gene co-expression network obtained using DLPCA.</p

    Effect of steel slag fertilizer application on heavy metal uptake by rice grain.

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    <p>Data are means of three replicates. Mean values followed by different letters (a, b, c) in the same season are significantly different (P< 0.05).</p

    The relationship between degree and weighted connectivity.

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    <p>The scatterplot shows a near-linear correlation between the degree and the weighted connectivity.</p
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