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    Wyświetlanie 1-3 z 3
    Tytuł:
    Soil microbial and nutrient dynamics influenced by irrigation-induced salinity and sewage sludge incorporation in sandy - loam textured soil
    Autorzy:
    Ankush
    Prakash, R.
    Kumar, R.
    Singh, V.
    Harender
    Singh, V.K.
    Powiązania:
    https://bibliotekanauki.pl/articles/2082943.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Instytut Agrofizyki PAN
    Tematy:
    sewage sludge
    saline irrigation
    soil
    microbial
    biomass carbon
    enzyme activity
    Opis:
    The use of sewage sludge in agriculture is known to be environmentally friendly as it is a practical way of recycling municipal waste. A short-term experiment was carried out to study the changes in soil chemical and microbiological properties influenced through the addition of sewage sludge along with saline irrigation under a pearl millet-wheat crop rotation. There were three irrigation (canal water (0.35 dS m-1), 8 and 10 dS m-1 electrical conductivity saline water) and five fertilizer treatments (control-F1, sewage sludge (5 t ha-1)-F2, sewage sludge (5 t ha-1) +50% recommended dose of fertilizer (RDF)-F3, sewage sludge (5 t ha-1)+75% RDF-F4 and RDF-F5). The results showed that soil organic carbon, and available nitrogen, and phosphorus were reduced significantly under saline conditions but there was an increase in available potassium with the increasing salinity levels of the irrigation water. A significant reduction in soil microbial biomass carbon and enzyme activities was caused by 8 and 10 dS m-1 as compared to 0.35 dS m-1 at different growth stages of crops. Treatment F4 attained the highest soil microbial activity at each crop growth stage by a significant margin among all of the fertilizer treatments, which is associated with a substantial build-up of organic carbon and available NPK in the soil. Soil microbial activities followed a particular trend: at 35 and 75 days after sowing>harvest>sowing in pearl millet and wheat, respectively. Sewage sludge dumping is a major problem in India, and the present study suggests that by applying sewage sludge, soil biological health is improved; therefore its use in agriculture is recommended to farmers.
    Źródło:
    International Agrophysics; 2020, 34, 4; 451-462
    0236-8722
    Pojawia się w:
    International Agrophysics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Comparative evaluation of inversion approaches of the radiative transfer model for estimation of crop biophysical parameters
    Autorzy:
    Mridha, N.
    Sahoo, R.N.
    Sehgal, V.K.
    Krishna, G.
    Pargal, S.
    Pradhan, S.
    Gupta, V.K.
    Nagesh Kumar, D.
    Powiązania:
    https://bibliotekanauki.pl/articles/25984.pdf
    Data publikacji:
    2015
    Wydawca:
    Polska Akademia Nauk. Instytut Agrofizyki PAN
    Opis:
    The inversion of canopy reflectance models is widely used for the retrieval of vegetation properties from remote sensing. This study evaluates the retrieval of soybean biophysical variables of leaf area index, leaf chlorophyll content, canopy chlorophyll content, and equivalent leaf water thickness from proximal reflectance data integrated broad bands corresponding to moderate resolution imaging spectroradiometer, thematic mapper, and linear imaging self scanning sensors through inversion of the canopy radiative transfer model, PROSAIL. Three different inversion approaches namely the look-up table, genetic algorithm, and artificial neural network were used and performances were evaluated. Application of the genetic algorithm for crop parameter retrieval is a new attempt among the variety of optimization problems in remote sensing which have been successfully demonstrated in the present study. Its performance was as good as that of the look-up table approach and the artificial neural network was a poor performer. The general order of estimation accuracy for para-meters irrespective of inversion approaches was leaf area index > canopy chlorophyll content > leaf chlorophyll content > equivalentleaf water thickness. Performance of inversion was comparable for broadband reflectances of all three sensors in the optical region with insignificant differences in estimation accuracy among them.
    Źródło:
    International Agrophysics; 2015, 29, 2
    0236-8722
    Pojawia się w:
    International Agrophysics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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