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Development of a Fourier Transform Infrared (FT-IR) model for screening susceptible and resistant Eucalyptus clones against Chrysoporthe austroafricana
Dissertation (MSc (Biotechnology))--University of Pretoria, 2022.
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2023
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| _version_ | 1867613716808204288 |
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| access_status_str | Open Access |
| author2 | Naidoo, Sanushka |
| author_browse | Naidoo, Sanushka |
| author_facet | Naidoo, Sanushka |
| collection | Thesis |
| dc_rights_str_mv | © 2022 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Dissertation (MSc (Biotechnology))--University of Pretoria, 2022. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/89040 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:40:34.602Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/89040 Development of a Fourier Transform Infrared (FT-IR) model for screening susceptible and resistant Eucalyptus clones against Chrysoporthe austroafricana Naidoo, Sanushka mogashoavalencia@gmail.com Bonello, Pierluigi Mogashoa, Valencia UCTD Resistance screening Chrysoporthe austroafricana Eucalyptus Machine learning Fourier-transform infrared spectroscopy Dissertation (MSc (Biotechnology))--University of Pretoria, 2022. Eucalyptus trees are an important source of timber in South Africa. Unfortunately, the trees are susceptible to a number of pests and pathogens. Chrysoporthe austroafricana is a significant pathogen of Eucalyptus trees in South Africa. The pathogen causes stem cankers which lead to wilting and eventually death. Clonal and hybridization trials have been carried out to improve the genotype of these trees. In order to breed for pest and pathogen resistance, this procedure necessitates the screening of clones and hybrids. Current screening methods rely on inoculation trials and natural infection, both of which are time consuming and, in the case of inoculation trials, destructive. Here I show that resistance phenotyping can be conducted, rapidly and non-destructively, by way of infrared (IR) spectroscopy, which generates chemical fingerprints that can be used to predict and identify resistant and susceptible trees when combined with chemometric analyses. Specifically, I used Fourier transform IR (FT-IR) spectroscopy in combination with machine learning algorithms to distinguish between resistant and susceptible Eucalyptus hybrid clones against C. austroafricana. The results from the study is a proof of concept on the potential of FT-IR as a tool to screen Eucalyptus clones for resistance to C. austroafricana. University of Pretoria Sappi Mondi Forest Sector Innovation Fund Department of Science and Innovation and Technology Innovation Agency Biochemistry, Genetics and Microbiology (BGM) MSc (Biotechnology) Unrestricted 2023-01-31T12:56:15Z 2023-01-31T12:56:15Z 2023 2022 Dissertation * A2023 https://repository.up.ac.za/handle/2263/89040 DOI: 10.25403/UPresearchdata.21951167 10.25403/UPresearchdata.21951167 en © 2022 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | UCTD Resistance screening Chrysoporthe austroafricana Eucalyptus Machine learning Fourier-transform infrared spectroscopy Development of a Fourier Transform Infrared (FT-IR) model for screening susceptible and resistant Eucalyptus clones against Chrysoporthe austroafricana |
| title | Development of a Fourier Transform Infrared (FT-IR) model for screening susceptible and resistant Eucalyptus clones against Chrysoporthe austroafricana |
| title_full | Development of a Fourier Transform Infrared (FT-IR) model for screening susceptible and resistant Eucalyptus clones against Chrysoporthe austroafricana |
| title_fullStr | Development of a Fourier Transform Infrared (FT-IR) model for screening susceptible and resistant Eucalyptus clones against Chrysoporthe austroafricana |
| title_full_unstemmed | Development of a Fourier Transform Infrared (FT-IR) model for screening susceptible and resistant Eucalyptus clones against Chrysoporthe austroafricana |
| title_short | Development of a Fourier Transform Infrared (FT-IR) model for screening susceptible and resistant Eucalyptus clones against Chrysoporthe austroafricana |
| title_sort | development of a fourier transform infrared ft ir model for screening susceptible and resistant eucalyptus clones against chrysoporthe austroafricana |
| topic | UCTD Resistance screening Chrysoporthe austroafricana Eucalyptus Machine learning Fourier-transform infrared spectroscopy |
| url | https://repository.up.ac.za/handle/2263/89040 |