摘要
传统方法在转基因作物目的基因表达检测上做了很多工作,但仍有发展空间。该研究利用野外高光谱仪(ASD野外光谱仪),避免了实验室测量带来温度水分差异造成的影响,实地测量大田水稻样本光谱数据;通过引入内部聚类系数控制类内波段聚合度,使用均值光谱表征样本类光谱,计算与光合作用高度相关的边峰以及光化学植被指数等参数,快速定量了转基因组样本与亲本在光合作用波段的光谱表达差异。研究结果表明转入基因得到了表达、对样本产生了影响,同时发现面积参数适合描述样本差异,而光化学植被指数对样本差异尤为敏感。这些都证明高光谱遥感技术在水稻转入基因表达检测上具有良好指示作用和应用优势,前景看好。
The present study aims to identify the expression of transgene in given rice plant samples in certain conditions. To avoid external noise caused by temperature change and water-loss, field spectrum was collected with ASD field spectrometer in natural state. The study calculated the mean spectrum of samples as main data set analyzed which were controlled by inner clustering coefficient to ensure data quality. By mean spectrum, the noise from random distinctions in few individual cultivators, which could not be expressed in the class stably, could be weakened even with filtering. With the help of parameters, such as red edge and green peak, this study gave qualitative spectral differences between transgenic samples and their parents. The results show that the transgenes in rice plant were expressed and influenced the samples. Moreover, it was found that the parameters of area are more suitable for describing the differences/changes of the samples, while PRI and SR-PRI are more sensitive to indicate them. Most of the above results could be found on the continuum-removal spectrum curve of samples. These conclusive results demonstrate that hyperspectral remote sensing technique has good prospects and application potential in transgene expression detection and monitoring, especially in plant breeding process.
出处
《光谱学与光谱分析》
SCIE
EI
CAS
CSCD
北大核心
2010年第1期202-205,共4页
Spectroscopy and Spectral Analysis
基金
香港特别行政区政府研究资助局项目(461907)资助
