Li Jun-Hui, Wang Chang-Gui, Kang Ding-Ming, Wang Hua-Qi, Yu Chun-Xia, Zhang Lu-Da
College of Agriculture and Biotechnology, China Agricultural University, Beijing 100193, China.
Guang Pu Xue Yu Guang Pu Fen Xi. 2009 Oct;29(10):2646-50.
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.
在本研究中，选取了来自不同国家和地区的不同耐旱水稻品种，分别种植于水田和旱田，其中包括4个传统旱稻品种、18个改良旱稻品种、2个具有干旱性状的水稻品种、2个耐旱水稻品种，共涉及30个不同的耐旱水稻品种。利用水田和旱田水稻叶片的近红外漫反射光谱，对水稻耐旱性鉴定分析进行了研究。结果表明：采用多片叶片光谱的平均光谱，选取4500 - 7500 cm(-1)作为有效分析光谱区，选择一阶导数和多元散射校正（MSC）作为光谱预处理方法，可建立旱田叶片光谱与水稻产量之间的校正模型。同时得出，孕穗后期水稻产量和耐旱性鉴定指标的校正模型性能优于孕穗前期，交叉验证相关系数可达0.8。但水田光谱与产量、耐旱性鉴定指标之间无明显关系。我们从叶片生化参数（叶绿素、水分等）与产量、耐旱性鉴定指标之间的关系解释了这两个系列模型性能差异的原因。
