近红外光谱技术的结缕草种子发芽率研究

doi:10.3964/j.issn.1000-0593(2013)10-2642-04

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摘要：根据收获的年份和地点的差异收集37份结缕草种子，其发芽率分布在58.5%～92%的范围，并按照3∶1的比例将其划分为校正集和检验集，使用近红外光谱技术和定量偏最小二乘法分析其发芽率。结果表明，采用的光谱范围为6 000～7 000 cm^-1，主成分个数取6时，校正集的决定系数为90.73%，相关系数为0.986 6，平均绝对误差为7.64%，标准差为9.80，而检验集则分别为91.80%，0.987 2，6.98%和9.47。使用不同的建模样品来检验该方法建模的准确性，两组样品集决定系数均超过90%，校正标准差和预测标准差控制在10.00附近，平均绝对误差达到8.00%的水平。

关键词：近红外光谱;结缕草;种子;发芽率

Abstract：With 37 zoysia seed samples with different germination rates ranging from 58.5% to 92%，harvested in different years from 2009 to 2011 and from different locations of China，a model for determining germination rate of zoysia seeds was tried to be built by near infrared reflectance spectroscopy with quantitative partial least squares (QPLS). All the seeds samples were divided into two groups：calibration set (including 28 samples) and validation set (including 9 samples). The results showed that with the spectral range from 6 000 to 7 000 cm^-1 and 6 main components，there was a better fitting between the predictive value and true value. Determination coefficients (R²) of calibration and validation sets are 90.73% and 91. 80%，the coefficients of correlation are 0.986 6 and 0.987 2，the standard errors are 9.80 and 9.47, and the average absolute errors are 7.64% and 6.98% respectively. Even with different calibration samples，the models have a high determination coefficient (R² over building of NIR model for determining 90%)，low standard errors (about 10.00) and low absolute errors (about 8.00%). The building of NIR model for determining germination rate of zoysia seeds could promote the application of high quality seeds in production.

Key words：Near-infrared spectroscopy;Zoysia (Zoysia japonica Steud.);Seeds;Germination rate

收稿日期: 2013-02-24 修订日期: 2013-05-12

中图分类号:

S123

通讯作者: 韩烈保 E-mail: hanliebao@163.com

引用本文:

戴子云¹，梁小红¹，张利娟¹，樊波¹，毛文华²，濮阳雪华¹，韩烈保^1* . 近红外光谱技术的结缕草种子发芽率研究 [J]. 光谱学与光谱分析, 2013, 33(10): 2642-2645.
DAI Zi-yun¹, LIANG Xiao-hong¹, ZHANG Li-juan¹, FAN Bo¹, MAO Wen-hua², PUYANG Xue-hua¹, HAN Lie-bao^1* . Study on Germination Rate of Zoysia (Zoysia japonica Steud.) Seeds Using Near Infrared Reflectance Spectroscopy. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(10): 2642-2645.

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