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. 2023 Apr 11;13(1):5890.
doi: 10.1038/s41598-023-31887-z.

Response of different varieties of maize to nitrogen stress and diagnosis of leaf nitrogen using hyperspectral data

Yanli Lu  1 , Xiaoyu Zhang  2 , Yuezhi Cui  2 , Yaru Chao  1 , Guipei Song  1 , Caie Nie  1 , Lei Wang  3
Affiliations

Response of different varieties of maize to nitrogen stress and diagnosis of leaf nitrogen using hyperspectral data

Yanli Lu et al. Sci Rep. .

Abstract

Spectral technology is theoretically effective in diagnosing N stress in maize (Zea mays L.), but its application is affected by varietal differences. In this study, the responses to N stress, leaf N spectral diagnostic models and the differences between two maize varieties were analysed. The variety "Jiyu 5817" exhibited a greater response to different N stresses at the 12-leaf stage (V12), while "Zhengdan 958" displayed a greater response in the silking stage (R1). Correlation analysis showed that the spectral bands more sensitive to leaf N content were 548-556 nm and 706-721 nm at the V12 stage in "Jiyu 5817" and 760-1142 nm at the R1 stage in "Zhengdan 958". An N spectral diagnostic model that considers the varietal effect improves the model fit and root mean square error (RMSE) with respect to the model without it by 10.6% and 29.2%, respectively. It was concluded that the V12 stage for "Jiyu 5817" and the R1 stage for "Zhengdan 958" were the best diagnostic stages and were more sensitive to N stress, which can further guide fertilization decision-making in precision fertilization.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
N content and accumulation in the key functional leaves of “Jiyu 5817” maize under different N rates. CK, N1, N2 and N3 represent N rates of 0, 60, 120 and 180 kg/hm2, respectively.
Figure 2
Figure 2
N content and accumulation in the key functional leaves of “Zhengdan 958” maize under different N rates. CK, N1, N2 and N3 represent N rates of 0, 60, 120 and 180 kg/hm2, respectively.
Figure 3
Figure 3
Correlation coefficients between N accumulation and spectral reflectance in the key functional leaves of maize (“Jiyu 5817”, left and “Zhengdan 958”, right).
Figure 4
Figure 4
PLSR regression coefficients (left) and prediction evaluation diagram (right) for “Jiyu 5817”.
Figure 5
Figure 5
PLSR regression coefficients (left) and prediction evaluation diagram (right) for “Zhengdan 958”.
Figure 6
Figure 6
PLSR regression coefficients (left) and prediction evaluation chart (right) of the combined maize varieties.
See this image and copyright information in PMC

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