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

Abstract

Wang Xiaoke, Xu Guiling, Feng Yuehua, Song Zhengli, Guo Yanjun, Muhammad Usama Latif, Lu Linya, Somsana Phonenasay, Xu Xiangjun, Cui BingPing. Could Plant Height Compensate for Temporal and Spatial Limitations of Canopy Spectra for Inversion of Plant Nitrogen Accumulation in Rice?[J]. Rice Science, 2025, 32(4): 467-471.

Figures/Tables 2

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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