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. 2021 Oct 25;10(11):2291.
doi: 10.3390/plants10112291.

Hyperspectral Characteristics of an Individual Leaf of Wheat Grown under Nitrogen Gradient

Affiliations

Hyperspectral Characteristics of an Individual Leaf of Wheat Grown under Nitrogen Gradient

Jae Gyeong Jung et al. Plants (Basel). .

Abstract

Since the application of hyperspectral technology to agriculture, many scientists have been conducting studies to apply the technology in crop diagnosis. However, due to the properties of optical devices, the reflectances obtained according to the image acquisition conditions are different. Nevertheless, there is no optimized method for minimizing such technical errors in applying hyperspectral imaging. Therefore, this study was conducted to find the appropriate image acquisition conditions that reflect the growth status of wheat grown under different nitrogen fertilization regimes. The experiment plots were comprised of six plots with various N application levels of 145.6 kg N ha-1 (N1), 109.2 kg N ha-1 (N2), 91.0 kg N ha-1 (N3), 72.8 kg N ha-1 (N4), 54.6 kg N ha-1 (N5), and 36.4 kg N ha-1 (N6). Hyperspectral image acquisitions were performed at different shooting angles of 105° and 125° from the surface, and spike, flag leaf, and the second uppermost leaf were divided into five parts from apex to base when analyzing the images. The growth analysis conducted at heading showed that the N6 was 85.6% in the plant height, 44.1% in LAI, and 64.9% in SPAD as compared to N1. The nitrogen content in the leaf decreased by 55.2% compared to N1 and the quantity was 44.9% in N6 compared to N1. Based on the vegetation indices obtained from hyperspectral reflectances at the heading stage, the spike was not suitable for analysis. In the case of the flag leaf and the 2nd uppermost leaf, the vegetation indices from spectral data taken at 105 degrees were more appropriate for acquiring imaging data by clearly dividing the effects of fertilization level. The results of the regional variation in a leaf showed that the region of interest (ROI), which is close to the apex of the flag leaf and the base of the second uppermost leaf, has a high coefficient of determination between the fertilization levels and the vegetation indices, which effectively reflected the status of wheat.

Keywords: Triticum aestivum; hyperspectral imaging; nitrogen gradient; vegetation index.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Plant height, leaf area index (LAI), and SPAD value measured on 19 April 2019 in wheat plants with different N top–dressing rates.
Figure 2
Figure 2
Leaf nitrogen content and seed weight of wheat plants with different N top–dressing rates.
Figure 3
Figure 3
Differences in reflectance by fertilization level in the flag leaf (a) and the 2nd uppermost leaf (b) at the heading stage. Yellow: N1, magenta: N2, cyan: N3, blue: N4, green: N5, red: N6.
Figure 4
Figure 4
Variation of vegetation indices by the shooting angles for taking the hyperspectral images. Vegetation indices were calculated with spectral reflectance of the base region in the 2nd uppermost leaf. In the box plots, the bottom and top of the box describe the 25th and 75th percentiles, the band near the middle of the box is the 50th percentile (the median); the ends of the whiskers represent the minimum and maximum of the data. The black circle dots indicate outliers.
Figure 5
Figure 5
Variation of vegetation indices by the nitrogen levels. Vegetation indices were calculated with the spectral data of the base region in each organ. In the box plots, the bottom and top of the box describe the 25th and 75th percentiles, the band near the middle of the box is the 50th percentile (the median); the ends of the whiskers represent the minimum and maximum of the data. The black circle dots indicate outliers.
Figure 6
Figure 6
Variation of vegetation indices by the nitrogen levels. Vegetation indices were calculated with the spectral data of five different regions of the second uppermost leaf. In the box plots, the bottom and top of the box describe the 25th and 75th percentiles, the band near the middle of the box is the 50th percentile (the median); the ends of the whiskers represent the minimum and maximum of the data. The black circle dots indicate outliers.
Figure 7
Figure 7
Coefficients of determination by organs between vegetation indices and nitrogen fertilization levels. Horizontal dotted line indicates the R2 of canopy level. *, **, and *** mean significant at 0.05, 0.01, 0.001 probability level.
Figure 8
Figure 8
Coefficients of determination by characteristics between vegetation index and SPAD, leaf protein, and leaf area index. A, D, C, P, and B indicate apex, distal, central, proximal, and base, respectively. *, **, and *** mean significant at 0.05, 0.01, 0.001 probability level.
Figure 9
Figure 9
Conditions of hyperspectral image acquisition and separation of regions in leaf and spike for taking hyperspectral shooting.

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