| 光谱学与光谱分析 |
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| Identification and Analysis of Rice Drought Tolerance Using Near Infrared Diffuse Reflection Spectra of Leaves |
| LI Jun-hui1，2,WANG Chang-gui1,KANG Ding-ming1*,WANG Hua-qi1,YU Chun-xia1,ZHANG Lu-da3 |
1. College of Agriculture and Biotechnology, China Agricultural University, Beijing 100193, China
2. College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
3. College of Science, China Agricultural University, Beijing 100193, China |
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Abstract In the present study, different drought tolerance rice from different countries and areas were selected and grown in water field and drought field respectively, including 4 traditional varieties of drought rice, 18 varieties of modified drought rice, 2 varieties of drought traits rice, 2 varieties of drought tolerance rice, and a total of 30 different varieties of drought tolerance rice were involved. Using near infrared diffuse reflection spectra of leaves from water field and drought field, we studied the rice drought tolerance identification analysis. Results showed that: using the average spectra of several leaves’ spectra, selecting 4 500-7 500 cm-1 as effective analysis spectra zone, choosing the first derivative and multiple scattering correction (MSC) as spectra preprocessing method, we can set up the calibration models between the spectra of leaves from drought field and the yield of rice. Simultaneously, we concluded that the performance of calibration model for rice yield and drought tolerance identification indexes in the upper booting stage was better than in the previous booting stage whose correlation coefficient of cross validation could reach 0.8. But there was no obvious relation between the spectra from water field and the yield, the drought tolerance identification indexes. We explained the difference in these two series models’ performance from the relationship between some parameter of the leaves’ biochemistry (chlorophyll, moisture, etc) and yield, the drought tolerance identification indexes.
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Received: 2009-01-10
Accepted: 2009-04-12
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Corresponding Authors:
KANG Ding-ming
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