Due to the stochasticity, diversity and variability of gene expression, transgenic crop study, is confronted with some uncertainties, such as what kinds of the influence from foreign gene on the transgenic crop, and how to fulfill the monitoring of transgenic crop growth real-/ near real-time efficiently. The influence of foreign gene could be treated as a special source of stress to vegetation. Therefore, it is promising to detect the difference between transgenic and contrast group and so as to monitor the growth of sample to assist to fulfill sample screening work, focusing on the plant biophysical traits or responses to stress by spectral techniques. Hyperspectral remote sensing technique is a kind of practical and field spectroscopy technique, which is simple, rapid, real-/ near real-time, user friendly and cheap. In this study, this technique was employed to indicate the differences between transgenic crop samples and their parents, and to monitor their growth. By the proposed approach, fine spectra of transgenic paddy rice were obtained, and the growth of samples were monitored the by their biophysical traits, finally the screening of cultivars were fulfilled in contrast controlled experiments. The biophysical traits or bio-process were concentrated on rather than on micro-structure or components of proteins. It will be implemented to monitor the growth of the samples real-/ near real-time, helping researchers know their samples clearly and screen samples efficiently. / In order to develop and validate this approach, 6 experiments in different fields were conducted, including three kinds of genomes and their transgenic samples. They were classified as the experiment-repeat experiments and the gene-repeat experiments. Moreover, a three-month experiment was also conducted for evaluating the capability of the approach to monitor the sample growth under the condition of an artificial stress (herbicide stress). Morphologic and parameterized features of foliar spectra of samples were applied to indicate the growth of the samples. / In the future, more factors should be considered. They are mainly: much more effective communication with biological researchers should be conducted; more research methods should be introduced, the study scope should be extended to the whole bands (350-2500nm) and more foliar chemicals should be involved as indicators of the growth status of the samples, etc. ii / The results proved this approach proposed was not a substitute to the popular methods for gene detection and crop assessment, but an important, helpful and efficient complement to make the crop breeding study under control and efficient as much as possible. By the approach, the researcher could know their samples clearly and real-/near real- time. / Li, Ru. / Advisers: Jinsong Chen; Hui Lin. / Source: Dissertation Abstracts International, Volume: 73-06, Section: B, page: . / Thesis (Ph.D.)--Chinese University of Hong Kong, 2011. / Includes bibliographical references. / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Electronic reproduction. [Ann Arbor, MI] : ProQuest Information and Learning, [201-] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstract also in Chinese.
| Identifer | oai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_344946 |
| Date | January 2011 |
| Contributors | Li, Ru, Chinese University of Hong Kong Graduate School. Division of Earth System and GeoInformation Science. |
| Source Sets | The Chinese University of Hong Kong |
| Language | English, Chinese |
| Detected Language | English |
| Type | Text, theses |
| Format | electronic resource, microform, microfiche, 1 online resource (xvi, 163 leaves : ill. (some col.)) |
| Rights | Use of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/) |
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