栽培稻叶片近红外光纤漫反射光谱的抗旱性鉴定分析

选用了来源于不同国家和地区的30个抗旱性强弱不同的栽培稻品种,其中有传统旱稻4个,改良旱稻18个,敏旱突变体材料2个,典型水稻4个,耐旱水稻2个,分别在水田和旱地下种植得到的叶片近红外漫反射光谱为对象,进行了抗旱性鉴定分析研究,结果表明:采用多个叶片测量得到的平均光谱数据,选择4 500～7 500 cm-1作为有效的分析谱区,应用一阶导数和散射校正结合进行光谱预处理等方法,适合建立旱地种植下栽培稻叶片的旱地产量等模型.同时研究表明:孕穗中后期旱地叶片近红外光谱与旱地产量、抗旱指数之间建立模型的结果要优于孕穗前期,其模型交叉验证结果的相关系数可达0.8左右.而在水田种植条件下得到的叶片近红外光谱与水田产量、抗旱指数之间模型交叉验证结果相关性较弱,从叶片叶绿素、含水量等主要生理生化参数与产量、抗旱指数之间相关关系角度,对水旱田下两类模型的性能差异进行了农学解释.

Identification and Analysis of Rice Drought Tolerance Using Near Infrared Diffuse Refiection Spectra of Leaves

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.