Japanese Journal of Soil Science and Plant Nutrition
Online ISSN : 2424-0583
Print ISSN : 0029-0610
Volume 93, Issue 2
Displaying 1-18 of 18 articles from this issue
Original Papers
  • Kazuki Togami, Akira Takamoto, Tomoki Takahashi
    2022 Volume 93 Issue 2 Pages 69-76
    Published: April 05, 2022
    Released on J-STAGE: April 14, 2022
    JOURNAL FREE ACCESS

    Based on the fact that humus is dark and stable against microbial degradation, we hypothesized that stable humus content can be estimated by the soil carbon content predicted from spectral reflectance. Furthermore, the difference between the total carbon content and the predicted value can be attributed to easily-decomposable organic matter, representing available nitrogen. Thus, we suggest a new method to estimate available nitrogen based on total carbon content and spectral reflectance. To test this method, we conducted drone-based remote sensing using a four-wavelength multispectral camera at paddies, where livestock manure compost and rice straw has been continuously applied, and paddies where no organic matter has been added after puddling. Using spectral reflectance, the model tended to underestimate the predicted carbon content in such paddies. Coefficients of determination were higher in paddies without added organic matter, suggesting that the value predicted via spectral reflectance may measure stable humus. We found a significant correlation between the available nitrogen and the difference between the predicted value from the spectral reflectance and the total carbon content. This finding indicates that total carbon content and spectral reflectance can be used to estimate available nitrogen. Using both the spectral reflectance and the total carbon content in the predictive formula, the coefficient of determination increased from 0.70 to 0.90 in air-dried soil incubated for 4 weeks and from 0.45 to 0.74 in wet soil incubated for 10 weeks. The applicability of this method should be verified in different soil and humus types.

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