Crops ›› 2020, Vol. 36 ›› Issue (4): 188-194.doi: 10.16035/j.issn.1001-7283.2020.04.027

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Estimation of Crude Protein Content in Grain of Early Indica Rice Based on Canopy Spectrum

Tian Rongcai(), Gao Zhiqiang, Lu Junwei()   

  1. Agronomy College of Hunan Agricultural University, Changsha 410128, Hunan, China
  • Received:2019-12-30 Revised:2020-05-01 Online:2020-08-15 Published:2020-08-11
  • Contact: Lu Junwei E-mail:823945102@qq.com;345321@qq.com

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Abstract:

In order to find the most suitable model of estimating the crude protein content of grains, we took the germplasm resources of early and middle maturity groups of early indica rice varieties in the middle and lower regimes of the Yangtze River in 2019 as materials, analyzed the relationships between the canopy spectra reflectance at the main growth stages and the crude protein content of grains, and also screened out the optimal period and sensitive wave length that could be used to predict the crude protein content in the early indica rice varieties. The univariate linear, multivariate linear, exponential, and polynomial prediction models for the crude protein content of grains based on sensitive wave lengths and spectra parameters were established, and the determination coefficient (R 2), root mean square error (RMSE) and relative error (RE) were used to evaluate the accuracy of the models, for finding the best model to estimate the crude protein content of early indica rice. The results showed that the correlation between the first derivative spectral reflectance of the canopy and the crude protein content of the grain at 514, 580, 638 and 695nm reached an extremely significant level at booting stage. Among the estimation models based on sensitive wave length, the quaternary linear model had the best estimation effects, with 0.566, 0.342% and 2.874% for the calibration set R 2, RMSE and RE, and 0.518, 0.154% and 1.303% for the validation set R 2, RMSE and RE, respectively. In the estimation model that constructed based on the spectra parameters, the polynomial model which constructed by DSI (R′514, R′638) as the independent variable had a better estimation effects, and its calibration set R 2, RMSE and RE were 0.638, 0.312% and 2.639%, respectively, the validation set R 2, RMSE and RE were 0.581, 0.230% and 2.307%, respectively.

Key words: Early indica rice, Crude protein content, Spectrum, Model

Table 1

Spectral index calculation formula"

光谱指数
Spectral index		 名称Name 公式
Formula
NDSI 归一化差值光谱指数
Normalized difference spectral index		 (Rλ1-Rλ2)/(Rλ1+Rλ2)
DSI 差值光谱指数
Difference spectral index		 Rλ1-Rλ2
RSI 比值光谱指数Ratio spectral index Rλ1/Rλ2

Fig.1

Spectral curves of different early indica rice varieties"

Fig.2

Original (A) and first derivative (B) spectral reflectance of early indica rice at different growth stages"

Fig.3

The correlation coefficients between canopy original (A) and first derivative (B) spectral reflectance and grain crude protein content in early indica rice during different growth periods"

Table 2

The estimation of grain crude protein content of early indica rice based on sensitive wavelength"

波长及组合Wavelength and its combination 估测模型Estimating model R2 RMSE (%) RE (%)
R′514 y=4257.309R′514+5.885 0.503 0.366 3.294
R′580 y=-6997.267R′580+6.476 0.468 0.378 3.400
R′638 y=-10457.111R′638+7.341 0.538 0.353 2.870
R′695 y=1456.315R′695+6.021 0.462 0.380 3.465
(R′514,R′580) y=3253.278R′514-1841.650R′580+5.935 0.508 0.364 3.312
(R′514,R′638) y=1784.503R′514-6786.287R′638+6.566 0.560 0.344 2.962
(R′514,R′695) y=4186.184R′514+26.538R′695+5.882 0.503 0.366 3.295
(R′580,R′638) y=-2061.051R′580-7981.623R′638+6.946 0.548 0.349 2.967
(R′580,R′695) y=-3918.876R′580+691.696R′695+6.145 0.481 0.373 3.414
(R′638,R′695) y=-8410.792R′638+351.739R′695+6.911 0.544 0.350 2.967
(R′514,R′580,R′638) y=1881.122R′514+225.038R′580-6857.824R′638+6.567 0.560 0.344 2.956
(R′514,R′580,R′695) y=3623.759R′514-2138.226R′580-198.561R′695+5.968 0.508 0.364 3.309
(R′514,R′638,R′695) y=3087.336R′514-7494.482R′638-582.393R′695+6.712 0.565 0.342 2.868
(R′580,R′638,R′695) y=-1884.608R′580-7883.872R′638+53.229R′695+6.915 0.548 0.349 2.974
(R′514,R′580,R′638,R′695) y=2956.682R′514-562.819R′580-7375.90R′638-632.008R′695+6.721 0.566 0.342 2.874

Table 3

The estimation of grain crude protein content of early indica rice based on spectral parameters"

光谱参数Parameter 模型Model 回归方程Regression equation R2 RMSE (%) RE (%)
NDSI(R′638,R′695) 线性Linear y=15.3x-8.556 0.356 0.416 3.535
指数Exponential y=1.408e1.616x 0.362 0.416 3.544
多项式Polynomial y=44.553x2-90.223x+53.9 0.359 0.415 3.584
DSI(R′514,R′638) 线性Linear y=-3205.643x+6.101 0.544 0.368 3.059
指数Exponential y=6.626e-338.051x 0.550 0.354 3.151
多项式Polynomial y=-10340000x2-26457.474x-6.826 0.638 0.312 2.639
RSI(R′638,R′695) 线性Linear y=0.242x+12.494 0.342 0.421 3.491
指数Exponential y=13.013e0.026x 0.348 0.422 3.585
多项式Polynomial y=0.036x2+1.135x+17.92 0.358 0.415 3.572

Fig.4

Accuracy test of crude protein content estimation model for early indica rice seeds based on sensitive wavelength (A) and spectral parameter (B)"

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