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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 董致韡(Chih-Wei Tung) | |
| dc.contributor.author | Chih-Yung Teng | en |
| dc.contributor.author | 鄧執庸 | zh_TW |
| dc.date.accessioned | 2022-11-24T09:26:28Z | - |
| dc.date.available | 2022-11-24T09:26:28Z | - |
| dc.date.copyright | 2022-03-07 | |
| dc.date.issued | 2022 | |
| dc.date.submitted | 2022-02-14 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/81735 | - |
| dc.description.abstract | "有鑑於近年臺灣稻作生產受到氣候變遷劇烈地影響，本研究提出有別於臺灣慣行兩期作生產的新栽培模式-中間作單期水稻栽培模式，中間作栽培模式的優勢在於可避開臺灣一期作 (二月到六月) 於生育前期可能碰到的乾旱，並充分利用臺灣雨季進行稻作生產 (五月到十月)。為針對水稻品系在此新興栽培期作的表現進行探討，同時透過瞭解基因與環境的交感作用 (genotype-by-environment interaction, GEI) 以篩選具廣泛適應於三個期作或特殊適應於中間作的品系，本研究於臺灣一期作、中間作及二期作的環境栽培共140個品系以瞭解各品系在抽穗、產量構成要素與米質相關性狀的表現，並利用Genotype main effect plus GEI biplot (GGE biplot)、additive main effect and multiplicative interaction model (AMMI model)、weighted average of absolute scores (WAAS) 與Roemer’s environmental variance (Roemer’s EV)等敘述統計方法進行討論分析。 結果顯示，不同分析方法的結果可互相呼應，不論是在抽穗日數、單株粒重還是直鏈澱粉含量，各方法所呈現具最高性狀表現量的品系及其穩定度都是一致的。進一步探討抽穗日數、單株粒重及直鏈澱粉含量的表現，可以發現各性狀在變方組成上都有很大的不同，抽穗日數及直鏈澱粉含量的變方中，GEI所佔的比例相對較少，而單株粒重的GEI在變方中佔有最高的比例。透過不同方法分析各性狀符合本研究目標的品系，在抽穗日數部分本研究著重在穩定性的篩選，動態穩定性(dynamic stability) 與靜態穩定性 (static stability) 分別篩選到G95 (TH) 與G102 (Vandana) 兩品系；在單株粒重部分，GGE biplot發現中間作的最佳表現品系與一期作及二期作不同，G109 (星豐, Hsing Feng) 在中間作有最高的單株粒重而AMMI model也顯示其在中間作具特殊適應性，G50 (黃廣油占, Huang Kuang Yu Chan) 則具有廣泛適應性並適合栽培於一期作及二期作；在直鏈澱粉含量部分，G64 (臺南11號, Tainan 11) 為同時具有穩定性與符合目標直鏈澱粉含量 (直鏈澱粉含量近G38 (臺稉9號, Taikung 9) ) 的品系，其綜合表現不論在動態穩定性還是靜態穩定性都是最佳的品系。 整體而言，雖然本研究所使用的視覺化工具都呈現一致的結果，在解讀時仍須注意此結果為敘述統計，並非假設檢定後具顯著性的結果，然而此等工具仍提供簡潔明瞭的結果供研究者迅速獲悉品系於各期作的表現，而本研究所篩選到符合條件目標的品系亦可作為後續開發具廣泛適應性或具特殊適應性品系的基礎，達到減緩氣候變遷對水稻影響的目的。" | zh_TW |
| dc.description.provenance | Made available in DSpace on 2022-11-24T09:26:28Z (GMT). No. of bitstreams: 1 U0001-1002202215511700.pdf: 3371097 bytes, checksum: a29a2ef3a3d03503f376f40883d3b021 (MD5) Previous issue date: 2022 | en |
| dc.description.tableofcontents | "致謝 i 摘要 ii Abstract iv Table of contents vi Figure index viii Table index x Abbreviation xi Chapter 1. Introduction 1 1.1 Rice production under climate change and proposed adaptation strategy 1 1.2 Phenotypic performance of rice is affected by genotype-by-environment interaction… 2 1.3 Using genotype main effect plus GEI (GGE) biplot, additive main effect and multiplicative interaction (AMMI) model and a new quantitative genotypic stability measure named weighted average of absolute scores (WAAS) to study GEI 5 1.4 Combining different methods to analyze GEI effect in rice 6 Chapter 2. Materials and methods 8 2.1 Plant materials 8 2.2 Field trial environments 8 2.3 Field experimental design and management 9 2.4 Traits evaluation 10 2.5 Statistical analysis 12 Chapter 3. Results 16 3.1 Performance of DTH, yield component traits and grain quality traits in the first (E1), the middle (E2) and the second cropping seasons (E3). 16 3.2 Analysis of variance (ANOVA) for traits in rice accessions in different seasons. 17 3.3 Using GGE biplot to visualize the GGE effects of traits. 18 3.4 Using AMMI model to dissect the GEI effects of traits. 22 3.5 Measuring stability by WAAS and simultaneously selecting performance and stability by WAASY. 25 Chapter 4. Discussion 32 4.1 Population constitution and traits performance in three seasons 32 4.2 Variation structure of different traits 34 4.3 Comparison between GGE biplot and AMMI model 36 4.4 WAAS is an improved stability index to select favorable accessions with targeted trait performance 40 Reference 44 Figures 50 Tables 78 Appendix 94" | |
| dc.language.iso | en | |
| dc.subject | 動態與靜態穩定性 | zh_TW |
| dc.subject | 水稻 | zh_TW |
| dc.subject | 氣候變遷 | zh_TW |
| dc.subject | 水稻中間作 | zh_TW |
| dc.subject | 基因與環境的交感作用 (GEI) | zh_TW |
| dc.subject | GGE雙軸圖 | zh_TW |
| dc.subject | AMMI模型 | zh_TW |
| dc.subject | WAAS | zh_TW |
| dc.subject | AMMI model | en |
| dc.subject | WAAS | en |
| dc.subject | Rice | en |
| dc.subject | Climate change | en |
| dc.subject | New cultivation system | en |
| dc.subject | Genotype-by-environment interaction (GEI) | en |
| dc.subject | GGE biplot | en |
| dc.subject | Dynamic and static stability | en |
| dc.title | 評估水稻抽穗、產量構成要素與米質相關性狀在臺灣同年三個期作的基因與環境交感效應 | zh_TW |
| dc.title | "Evaluating Genotype-by-Environment Interaction of Traits Related to Heading, Yield Component and Grain Quality in Rice under Three Cropping Seasons of the Same Year in Taiwan" | en |
| dc.date.schoolyear | 110-1 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 劉力瑜(Yi-Sheng Cheng),蔡育彰(Yi-Chun Yeh),許志聖,楊嘉凌 | |
| dc.subject.keyword | 水稻,氣候變遷,水稻中間作,基因與環境的交感作用 (GEI),GGE雙軸圖,AMMI模型,WAAS,動態與靜態穩定性, | zh_TW |
| dc.subject.keyword | Rice,Climate change,New cultivation system,Genotype-by-environment interaction (GEI),GGE biplot,AMMI model,WAAS,Dynamic and static stability, | en |
| dc.relation.page | 97 | |
| dc.identifier.doi | 10.6342/NTU202200534 | |
| dc.rights.note | 未授權 | |
| dc.date.accepted | 2022-02-14 | |
| dc.contributor.author-college | 生物資源暨農學院 | zh_TW |
| dc.contributor.author-dept | 農藝學研究所 | zh_TW |
| 顯示於系所單位： | 農藝學系 | |
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