Could Plant Height Compensate for Temporal and Spatial Limitations of Canopy Spectra for Inversion of Plant Nitrogen Accumulation in Rice?

doi:10.1016/j.rsci.2025.05.003

摘要/Abstract

. [J]. Rice Science, 2025, 32(4): 467-471.

Fig. 1. Effects of nitrogen (N) application levels and growth stages on plant N accumulation (PNA), plant height (PH), and canopy spectral reflectance and correlation analysis. A, Variation of PNA with growth process. B, Variation of PNA with N application level. C, Variation of PH with growth process. D, Variation of PH with N application level. E, Variation of canopy spectral reflectance with growth process. F, Variation of canopy spectral reflectance with N application level. G, Correlation between spectral reflectance with PNA and leaf nitrogen accumulation (LNA) in different datasets. In A-D, data of each growth period is all the data corresponding to the variety and N application level of each growth stage, and data of each N application level is all the data corresponding to the N application level and the whole growth stage. In E and F, reflectance of each growth period is the average value of all the data corresponding to the variety and N application level of each growth stage, and reflectance of each N application level is the average value of all the data corresponding to the N application level and the whole growth stage. N0-N4 represent different N application levels of 0, 75, 150, 225, and 300 kg/hm2, respectively. In G, numbers 1-4 in the legend represent Datasets 1-4, respectively. |r(P < 0.01, n = 90)| = 0.27, |r(P < 0.01, n = 180)| = 0.19, |r(P < 0.01, n = 270)| = 0.16, and |r(P < 0.01, n = 360)| = 0.14.

Fig. 2. Performance evaluation results of plant nitrogen accumulation (PNA) and plant nitrogen accumulation (LNA) models. A, Performance evaluation of LNA_VIs and PNA_VIs models. B, Performance evaluation of PNA_VIs and PNA_VIs + PH models. VIs, Vegetation indices; PH, Plant height. The confidence interval (CI) of R2: CI (R2 = 0.852, n = 60, k = 2) ∈ [0.787,0.917], CI (R2 = 0.763, n = 60, k = 3) ∈ [0.665,0.861], CI (R2 = 0.448, n = 120, k = 2) ∈ [0.319,0.577], CI (R2 = 0.700, n = 120, k = 3) ∈ [0.613,0.787], CI (R2 = 0.439, n = 180, k = 2) ∈ [0.332,0.546], CI (R2 = 0.690, n = 180, k = 3) ∈ [0.617,0.763], CI (R2 = 0.211, n = 240, k = 2) ∈ [0.121,0.301], CI (R2 = 0.754, n = 240, k = 3) ∈ [0.701,0.807].

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