Application Of Near Infrared Spectroscopy Analysis Technology In Transgenic Rice Identification And High Oil Cotton Seed Screening

GMO is a major breakthrough in the field of agriculture and Biotechnology. Positive application of high and new technology such as GMO seed cultivation to promote the development of agricultural production is an important attempt for our country to ensure food security. But because of GMO biological potential security risks, it is necessary to carefully study security risks and strengthen management. Therefore, this study developed rapid, convenient and environment friendly inspection technology for GMO. It is of great significance to the application and to strengthen safety management of GMO. Rice is the main food crops in China. breeding excellent rice variety by transgenic technology has been successful. Rice varieties selected in this study came from France, USA, and Holland. There were four transgenic types and47strains of TP309, Zhongzuo321and Nipponbare. They were planted in Shangzhuang experimental station of China Agricultural University in2009and2010. Detection of heading stage leaves and mature seeds by NIR, getting their near infrared diffuse reflectance spectra as the object to study (530leaves spectra,750single seed sample spectra and80multiple seed sample spectra). Using factorization method, DPLS and similarity analysis which were based on double principal component and supervised pattern Fisher criterion projection identificated varieties and transgenic. In addition,145cotton varieties from different cotton production areas (including upland cotton and Sea Island cotton), were chosed to establish the oil content N1R model. And by combinating determination and similarity analysis, the high oil cotton seed screening methods were developed.The major results were as follows:(1) Using DPLS built rice leaf, multiple seed sample and sigle seed sample NIR rice species prediction model for Zhongzuo321, TP309and Nipponbare.The correct rate of recognition model was86.51%,97.1%and91.55%. That means near infrared technology is able to be used identify the species of rice leaf, single seed and multiple seeds.(2) Using DPLS built rice leaf, mutiple seeds sample and sigle seed sample NIR transgenic identification model for Zhongzuo321, TP309and Nipponbare.The correct rate of sigle seed transgenic identification model for Zhongzuo321and Nipponbare were all100%, for TP309was93.4%. That means near infrared technology is able to be used identify the transgenic rice of single seed.(3) Using PPF projection studyed the same transgenic events of the same species. The study found the differences between Zhongzuo321(non transgenic) and P5CS genes, and the differences between Zhongzuo321(non transgenic) and δ-OAT genes. Some researches had reported that the samples with P5CS and δ-OAT gene were significantly high content of proline and were changed of some agronomic traits. It was because of this difference that made identifing transgenic by near infrared technology to be certain feasibility. The same transgenic insertion of TPS1gene in different sites couldn’t been identified by near infrared technique. That meant no significant differences in gene expression traits of TPS1gene in different sites.(4) Application of near infrared diffuse reflectance technique could quickly predict the protein content and thousand kernel weight of rice seed. The rapid and accurate models were established to predict cottonseed oil content by near infrared diffuse reflectance technique. Cottonseed oil content prediction model:The spectral region was8848.2cm-1～5442.4cm-1. The spectral pretreatment method was first-order derivative+MSC. The cross validation was used in building model. Its correlation coefficient (R) was0.96and its calibration standard deviation (RMSECV) was1.13. The coefficient of predictive cottonseed oil content and true oil content was up to0.98and the relative prediction error was less than5%.(5) It was of feasibility to screening high oil cottonseed nondestructively by near infrared diffuse reflectance technique. Projection model for screening high oil cottonseed was set up by PPF_PCA method, achieving double supervised pattern dimensionality reduction to reflect the similar of different oil content samples. It provided reference for high oil cottonseed screening.