光谱学与光谱分析
光譜學與光譜分析
광보학여광보분석
SPECTROSCOPY AND SPECTRAL ANALYSIS
2010年
1期
202-205
,共4页
李儒%陈劲松%袁定阳%唐俐%林珲%谭炎宁%岳跃民%和海霞
李儒%陳勁鬆%袁定暘%唐俐%林琿%譚炎寧%嶽躍民%和海霞
리유%진경송%원정양%당리%림혼%담염저%악약민%화해하
转基因水稻%高光谱%内聚系数%均值光谱
轉基因水稻%高光譜%內聚繫數%均值光譜
전기인수도%고광보%내취계수%균치광보
Transgenic rice%Hyperspectral%Inner-cc%Mean spectrum
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.
傳統方法在轉基因作物目的基因錶達檢測上做瞭很多工作,但仍有髮展空間.該研究利用野外高光譜儀(ASD野外光譜儀),避免瞭實驗室測量帶來溫度水分差異造成的影響,實地測量大田水稻樣本光譜數據;通過引入內部聚類繫數控製類內波段聚閤度,使用均值光譜錶徵樣本類光譜,計算與光閤作用高度相關的邊峰以及光化學植被指數等參數,快速定量瞭轉基因組樣本與親本在光閤作用波段的光譜錶達差異.研究結果錶明轉入基因得到瞭錶達、對樣本產生瞭影響,同時髮現麵積參數適閤描述樣本差異,而光化學植被指數對樣本差異尤為敏感.這些都證明高光譜遙感技術在水稻轉入基因錶達檢測上具有良好指示作用和應用優勢,前景看好.
전통방법재전기인작물목적기인표체검측상주료흔다공작,단잉유발전공간.해연구이용야외고광보의(ASD야외광보의),피면료실험실측량대래온도수분차이조성적영향,실지측량대전수도양본광보수거;통과인입내부취류계수공제류내파단취합도,사용균치광보표정양본류광보,계산여광합작용고도상관적변봉이급광화학식피지수등삼수,쾌속정량료전기인조양본여친본재광합작용파단적광보표체차이.연구결과표명전입기인득도료표체、대양본산생료영향,동시발현면적삼수괄합묘술양본차이,이광화학식피지수대양본차이우위민감.저사도증명고광보요감기술재수도전입기인표체검측상구유량호지시작용화응용우세,전경간호.
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.