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Spectral Response of Camelina to Different Nitrogen Fertilization Regimes under Mediterranean Conditions

Knowledge about the spectral response of camelina under different regimes of nitrogen (N) fertilization is very scarce. Therefore, 2-year open-field trials were carried out in the 2021 and 2022 growing seasons with the aim of evaluating the spectral response of spring camelina to four different N fe...

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Published in:Agronomy (Basel) 2023-05, Vol.13 (6)
Main Authors: Clemente, Clarissa, Ercolini, Leonardo, Rossi, Alessandro, Foschi, Lara, Grossi, Nicola, Angelini, Luciana G, Tavarini, Silvia, Silvestri, Nicola
Format: Article
Language:English
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Summary:Knowledge about the spectral response of camelina under different regimes of nitrogen (N) fertilization is very scarce. Therefore, 2-year open-field trials were carried out in the 2021 and 2022 growing seasons with the aim of evaluating the spectral response of spring camelina to four different N fertilization regimes by using remote (UAV) and proximal (leaf-clip Dualex) sensing techniques. The tested treatments were: (i) control: no N application (T0); (ii) top dressing: 60 kg N ha[sup.−1] before stem elongation (T1); basal dressing: 60 kg N ha[sup.−1] at sowing (T2); basal + top dressing combination: 60 kg N ha[sup.−1] at sowing + 60 kg N ha[sup.−1] before stem elongation (T3). Camelina seed yield and N use efficiency were strongly affected by fertilization regimes, with the best results obtained at T2. A reduction in plant development and seed yield was detected in 2022, probably due to the rise in air temperatures. A significant effect of both growing season and N fertilization was observed on the photosynthetic pigments content with the T1 highest values in 2022. The highest seed oil content was achieved at T1, while the protein content increased with increasing N, with the best values at T3. Positive and significant correlations were observed among several vegetation indices obtained through UAV flights (NDVI, MRS705, FGCC) and seed yield, as well as between FGCC and leaf N concentration. Overall, these findings demonstrate the feasibility of utilizing remote sensing techniques from UAVs for predicting seed yield in camelina.
ISSN:2073-4395
2073-4395
DOI:10.3390/agronomy13061539