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Subject: Crop Physiology × Author: Goswami, Jonali × End date: 2017 × Start date: 2015 × Type: Thesis × Thesis Type: Ph.D ×
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    ThesisItemOpen Access
    ASSESSMENT OF CROP CONDITION UNDER ABIOTIC STRESS USING REMOTE SENSING TECHNIQUE IN UPLAND RICE CROP
    (AAU, Jorhat, 2017-09) Goswami, Jonali; Das, Ranjan
    The rise of CO2 (600 µmol mol-1 CO2 by the middle of 21st century) will effectively influence the productivity of crop plants. Again nitrogen is a limiting nutrient in most of the agricultural soils. In the present investigation, the responses of local genotypes of rice were studied in Carbondioxide Temperature Gradient Tunnel (CTGT) to simulate elevated CO2 concentration and temperature. Similarly, pot experiment was done at varying levels of nitrogen fertilization. The results revealed that CTGT II had a greater impact on various morpho-physiological parameters and showed a declining trend indicating the deleterious effect of high temperature, at a higher CO2 and temperature in CTGT III, but, some parameters viz. stomatal conductance and transpiration rate were significantly reduced at CTGT II. From the above experiment, it is evident that some degree of tolerance exhibited against high temperature stress which could be attributed to higher accumulation of carbohydrates, proline, adjustment of anatomical features, water status, better defense mechanism particularly in the genotype Inglongkiri followed by Banglami as compared to IET 22238 and Bash under elevated carbondioxide and temperature conditions. Similarly, nitrogenous fertilizer application had a statistically significant effect on yield components of rice genotypes. There was an increase in yield components with increase in each successive level of nitrogen fertilizers. Enhancement of yield components under high nitrogen levels might be attributed to vigorous and healthy growth, higher photosynthetic pigments, improved water relations and the formation of the membrane system of chloroplasts. Among rice genotypes Inglongkiri recorded significantly higher yield components at low nitrogen levels as compared to the Banglami, IET22238 and Bash. Further, it was revealed that hyperspectral remote sensing could effectively be used for detection of varietal performance, nutrient content and other biochemical parameters of the crop. It was observed that few specific bands were sensitive to chlorophyll (704,803 nm), protein (1514nm), nitrogen (2060, 2300nm), Fluorescence (730nm). Apart from specific bands, indices like NDVI, PSSRa, PSRI, FRI were highly correlated to different parameters of the crop. It is observed from regression analysis that yield can be estimated as function of different spectral indices with a R square value more the 0.7 under both the conditions at a statistical significance with 95% confidence level. A GUI has been developed for display and retrieval of information for the target plants which aided in generation of spectral data base to discriminate spectral behavior of commonly grown genotypes of rice in this region.