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| ???org.dspace.app.webui.jsptag.ItemTag.dcfield??? | Value | Language |
|---|---|---|
| dc.contributor.advisor | 董致韡 | zh_TW |
| dc.contributor.advisor | Chih-Wei Tung | en |
| dc.contributor.author | Aisyah Fitri Rohani | zh_TW |
| dc.contributor.author | Aisyah Fitri Rohani | en |
| dc.date.accessioned | 2024-02-27T16:38:38Z | - |
| dc.date.available | 2024-02-28 | - |
| dc.date.copyright | 2022-10-14 | - |
| dc.date.issued | 2022 | - |
| dc.date.submitted | 2002-01-01 | - |
| dc.identifier.citation | Ahmed, M., & Ahmad, S. (2017). Climate variability impact on rice production: adaptation and mitigation strategies. In Quantification of climate variability, adaptation and mitigation for agricultural sustainability (pp. 91-111). Springer.
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/92029 | - |
| dc.description.abstract | None | zh_TW |
| dc.description.abstract | Rice (Oryza sativa L.) demand is on the rise worldwide due to population growth, which has forced several countries to increase their production. Excessive iron (Fe) as abiotic stress, which often occurs in several countries, proved to be one of the obstacles in rice production. Screening for varieties tolerant to Fe toxicity would be critical for breeders to identify the varieties with the most desirable performance as donor parents in the breeding program, and for a researcher to develop molecular markers used in the selection process. The first step that needs to be done is to look for the chromosomal region related to Fe toxicity defense mechanism. To search for this region, QTL analysis was carried out. In this experiment, 104 RILs derived from IR64 and Nipponbare were treated with 400ppm Fe2SO4.7H2O for 11 days. Phenotyping was conducted by using two evaluating systems to inspect the leaf bronzing level. The first method is to analyze the Red (R) and Green (G) color channels of the scanned leaf images using Adobe Photoshop CS3, the other is to visually assign bronzing score according to the scale described in Shimizu A. (2009). These two independent phenotyping results were combined with 41,256 SNP markers for QTL analysis. The result from single marker analysis showed a peak marker at 8.98Mb on chromosome 8 and two peak markers at 1.06 Mb on chromosome 1 and 6.01Mb on chromosome 3 for R/G index and leaf bronzing score, respectively. Gene function annotation indicates that two genes in these regions are linked to Fe tolerance through ROS scavenging and two genes are linked to Fe transport. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2024-02-27T16:38:38Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2024-02-27T16:38:38Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | Certificate of Thesis Approval i
ABSTRACT ii Table of Contents iii List of Table vi List of Figure vii Abbreviation viii Chapter 1. Introduction 1 Rice 1 Fe in plants 2 Fe uptake 3 Fe toxicity and tolerance 4 Previous QTL research 7 Objectives of this study 11 Chapter 2. Materials and Methods 12 Plant Materials 12 Preliminary test 12 Evaluation of Fe toxicity-related traits 13 Phenotyping: eyes inspection (LBS) 14 Phenotyping: Flatbed scanner (R/G index) 14 Data analysis 15 Genotypes used for QTL analysis 15 Single marker analysis 15 GO enrichment analysis and ortholog identification 16 Haplotype analysis 16 Chapter 3. Results 18 Identify the experimental conditions for screening the RILs 18 Single marker analysis 19 Candidate gene mining 20 GO enrichment and pathway analysis 21 Haplotype analysis 22 Chapter 4. Discussions 25 Fe toxicity experimental design 25 Phenotyping methods 25 Mapping candidate gene associated with Fe toxicity tolerance 28 GO enrichment analysis 29 Fe toxicity defense mechanisms: ROS scavenging 30 Fe toxicity defense mechanism: Fe uptake and transport 31 Chapter 5. Conclusion and Perspective 34 Tables and Figures 35 References 55 Supplementary Data 69 | - |
| dc.language.iso | en | - |
| dc.title | 水稻幼苗期之鐵耐受性數量性狀基因座定位 | zh_TW |
| dc.title | Mapping of Quantitative Trait Loci Associated to Fe Stress Tolerance in the Rice Seedling | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 110-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.coadvisor | 林雅芬;Takeshi Itoh | zh_TW |
| dc.contributor.coadvisor | Ya-Fen Lin;Takeshi Itoh | en |
| dc.contributor.oralexamcommittee | zh_TW | |
| dc.subject.keyword | 水稻,數量 性狀 基因 座 分析,單標記分析,重組自交系,鐵毒性, | zh_TW |
| dc.subject.keyword | Oryza sativa,QTL,single-marker analysis,RILs,Fe toxicity, | en |
| dc.relation.page | 69 | - |
| dc.identifier.doi | 10.6342/NTU202203078 | - |
| dc.rights.note | 同意授權(限校園內公開) | - |
| dc.date.accepted | 2022-09-07 | - |
| dc.contributor.author-college | 共同教育中心 | - |
| dc.contributor.author-dept | 全球農業科技與基因體科學碩士學位學程 | - |
| Appears in Collections: | 全球農業科技與基因體科學碩士學位學程 | |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| ntu-110-2.pdf Access limited in NTU ip range | 1.77 MB | Adobe PDF | View/Open |
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