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Volume 38 Issue 5
Aug.  2020
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Article Navigation >  ENVIRONMENTAL ENGINEERING  > 2020  >  38(5): 210-214
GONG Yun-li, BI Yin-li, HU Jing-jing, GUO Chen. EFFECT OF INOCULATION WITH AM FUNGI ON MAIZE GROWTH AND HYPERSPECTRAL ESTIMATION OF TOTAL NITROGEN CONTENT IN MAIZE LEAVES[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(5): 210-214. doi: 10.13205/j.hjgc.202005036
Citation: GONG Yun-li, BI Yin-li, HU Jing-jing, GUO Chen. EFFECT OF INOCULATION WITH AM FUNGI ON MAIZE GROWTH AND HYPERSPECTRAL ESTIMATION OF TOTAL NITROGEN CONTENT IN MAIZE LEAVES[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(5): 210-214. doi: 10.13205/j.hjgc.202005036
shu

EFFECT OF INOCULATION WITH AM FUNGI ON MAIZE GROWTH AND HYPERSPECTRAL ESTIMATION OF TOTAL NITROGEN CONTENT IN MAIZE LEAVES

doi: 10.13205/j.hjgc.202005036

  • College of Geoscience and Surveying Engineering, China University of Mining Technology(Beijing), Beijing 100083, China

  • Received Date: 2020-03-20
    Abstract
  • In order to quickly and accurately determine the total nitrogen content in maize leaves and monitor the nitrogen element content under microbial remediation by hyperspectral remote sensing technology, two levels of AM fungal treatment were set up, with(M) and without (CK) arbuscular mycorrhizal Fungi inoculated. The physicochemical parameters and spectral reflectance data of leaves under the two treatments were measured respectively, and the effects of AM fungi inoculation on maize were studied. Stepwise regression method was used to model and retrieve the total nitrogen content of leaves. The results showed that inoculating AM fungi could increase the contents of total nitrogen, total phosphorus, total potassium and chlorophyll in leaves at different leaf positions, and significantly increase the biomass and leaf water content of maize. The correlation of total nitrogen content in different treatments was similar to that in different characteristic parameters, but the correlation coefficients were different. The stepwise linear regression method was used to estimate the nitrogen content of maize leaves by using the nine extremely significant spectral parameters as independent variables. Among them, the model determination coefficient R2 in CK was up to 0.8361, and the determination coefficient of M model was up to 0.893, which could estimate the total nitrogen content of maize leaves.
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