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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 郭彥甫(Yan-Fu Kuo) | |
dc.contributor.author | Tzu-Kuei Lee | en |
dc.contributor.author | 李子揆 | zh_TW |
dc.date.accessioned | 2021-06-16T05:11:34Z | - |
dc.date.available | 2016-09-03 | |
dc.date.copyright | 2014-09-03 | |
dc.date.issued | 2014 | |
dc.date.submitted | 2014-08-18 | |
dc.identifier.citation | Abe, S. (2010). Support Vector Machines for Pattern Classification: Springer.
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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/55954 | - |
dc.description.abstract | 如何精確地分析花朵形狀變異,對於專門研究花朵形狀的生物學家,是一門非常重要的課題。本研究針對花朵的二維與三維影像進行形狀量化,並且分析花朵的形狀變異。研究的樣本是由野生型(兩側對稱)的花朵和栽培型(輻射對稱)的花朵雜交,得到形狀多樣的第二子代作為實驗對象,再由數位相機和微斷層掃描儀器分別獲取花朵的二維與三維影像。接著,利用幾何形態學方法,藉由特徵點選取來分析花朵的形狀變異。由主成份分析的結果,可以了解花朵形狀變化的主要趨勢。因此,由研究結果得知,本研究可以有效地量化並且分析花朵的形狀變異。 | zh_TW |
dc.description.abstract | Quantifying floral shape in precision is crucial for studying the morphological variation of flowers. This work aims to measure the floral shape of Sinningia speciosa (Darwin’s Gloxinia) by using two-dimensional (2D) and three-dimensional (3D) floral images, and to examine the shape variation by using geometric morphometrics (GM). S. speciosa has two shape forms – bilateral symmetric wild type and radially symmetric peloria. In this work, the wild-type S. speciosa was crossed with the peloria to create the floral shape polymorphism. 2D and 3D floral images of second generation (F2) were obtained by using digital camera and micro-computed tomography (micro-CT), respectively. Their floral shapes were represented by a set of characteristic landmarks. GM was then applied to the landmarks to assess floral shape variations. ANOVA demonstrated the association between the floral shape variations and the SsCYC genotypes. It was shown that the proposed approach can adequately capture the shape variation of F2 flowers. | en |
dc.description.provenance | Made available in DSpace on 2021-06-16T05:11:34Z (GMT). No. of bitstreams: 1 ntu-103-R01631038-1.pdf: 1027541 bytes, checksum: 7591d803ae561be38cfe54a6b4a5b78f (MD5) Previous issue date: 2014 | en |
dc.description.tableofcontents | TABLE OF CONTENTS
ACKNOWLEDGEMENTS i 摘要 ii ABSTRACT iii TABLE OF CONTENTS iv LIST OF TABLES vii LIST OF FIGURES viii CHAPTER 1. INTRODUCTION 1 1.1 General Background Information 1 1.2 Objectives 2 1.3 Material 2 1.4 Organization 3 CHAPTER 2. LITERATURE REVIEW 4 2.1 Geometric Morphometrics: Curve-based and Landmark-based Approaches 4 2.2 Floral Shape Variation Analysis Using Geometric Morphometrics 5 2.3 Landmark 5 2.4 Micro-computed Tomography 6 CHAPTER 3. QUANTITATIVE ANALYSIS OF FLORAL SYMMETRY AND TUBE DILATION IN AN F2 CROSS OF SINNINGIA SPECIOSA 7 3.1 Material and Methods 8 3.1.1 Flower samples 8 3.1.2 Image acquisition 8 3.1.3 Landmark identification 9 3.1.4 Shape variation analysis 10 3.1.5 Symmetry and dilation scores 11 3.1.6 SsCYC genotype prediction 12 3.2 Experiment 14 3.2.1 Landmark identification 14 3.2.2 Areal size and contour length 15 3.2.3 Shape variation 16 3.2.4 Principal component distribution and association with the SsCYC genotypes 18 3.2.5 Symmetry and dilation scores and association with the SsCYC genotypes 20 3.2.6 SsCYC genotype prediction 21 3.3 Concluding Remarks 23 CHAPTER 4. THREE-DIMENSIONAL SHAPE VARIATION ANALYSIS ON SINNINGIA SPECIOSA FLOWERS 24 4.1 Material and Methods 24 4.1.1 Flower samples 24 4.1.2 Three-dimensional floral image acquisition 25 4.1.3 Floral landmark selection 26 4.1.4 Traditional morphometrics 27 4.1.5 Quantification of floral shape variation 27 4.1.6 Face-view and side-view projection 28 4.1.7 Widening score 29 4.2 Experiment 30 4.2.1 Floral landmarks 30 4.2.2 Lobe contour length 31 4.2.3 Analysis of floral shape variation 32 4.2.4 Association between SsCYC genotypes and PCs 36 4.2.5 Widening scores and association with the SsCYC genotypes 38 4.3 Concluding Remarks 38 CHAPTER 5. CONCLUSIONS AND DISCUSSION 40 REFERENCES 41 | |
dc.language.iso | zh-TW | |
dc.title | 利用幾何形態學方法分析大岩桐花朵之形狀變異 | zh_TW |
dc.title | Shape Variation Analysis on Sinningia Speciosa Flowers Using Geometric Morphometrics | en |
dc.type | Thesis | |
dc.date.schoolyear | 102-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 王俊能(Chun-Neng Wang),張維正(Wei-Cheng Chang) | |
dc.subject.keyword | 花朵形狀變異,幾何形態學,微斷層掃描,普氏分析,主成份分析, | zh_TW |
dc.subject.keyword | floral shape variation,geometric morphometrics (GM),computed tomography (CT),generalized Procrustes analysis (GPA),principal component analysis (PCA), | en |
dc.relation.page | 45 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2014-08-19 | |
dc.contributor.author-college | 生物資源暨農學院 | zh_TW |
dc.contributor.author-dept | 生物產業機電工程學研究所 | zh_TW |
顯示於系所單位: | 生物機電工程學系 |
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