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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 董致韡 | zh_TW |
| dc.contributor.advisor | Chih-Wei Tung | en |
| dc.contributor.author | 羅浩嘉 | zh_TW |
| dc.contributor.author | Hao-Chia Lo | en |
| dc.date.accessioned | 2023-12-12T16:17:45Z | - |
| dc.date.available | 2023-12-13 | - |
| dc.date.copyright | 2023-12-12 | - |
| dc.date.issued | 2023 | - |
| dc.date.submitted | 2023-11-09 | - |
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K. (2004). Differential expression of three genes encoding an ethylene receptor in rice during development, and in response to indole‐3‐acetic acid and silver ions. Journal of Experimental Botany, 55(397), 547-556. Yu, J., Pressoir, G., Briggs, W. H., Vroh Bi, I., Yamasaki, M., Doebley, J. F., McMullen, M. D., Gaut, B. S., Nielsen, D. M., & Holland, J. B. (2006). A unified mixed-model method for association mapping that accounts for multiple levels of relatedness. Nature genetics, 38(2), 203-208. Yu, S., Wu, J., Wang, M., Shi, W., Xia, G., Jia, J., Kang, Z., & Han, D. (2020). Haplotype variations in QTL for salt tolerance in Chinese wheat accessions identified by marker-based and pedigree-based kinship analyses. The Crop Journal, 8(6), 1011-1024. Zargar, S. M., Raatz, B., Sonah, H., MuslimaNazir, Bhat, J. A., Dar, Z. A., Agrawal, G. K., & Rakwal, R. (2015). Recent advances in molecular marker techniques: insight into QTL mapping, GWAS and genomic selection in plants. Journal of crop science and biotechnology, 18, 293-308. Zeng, D.-D., Yang, C.-C., Qin, R., Alamin, M., Yue, E.-K., Jin, X.-L., & Shi, C.-H. (2018). A guanine insert in OsBBS1 leads to early leaf senescence and salt stress sensitivity in rice (Oryza sativa L.). Plant cell reports, 37, 933-946. Zhu, T., Wang, L., Rimbert, H., Rodriguez, J. C., Deal, K. R., De Oliveira, R., Choulet, F., Keeble‐Gagnère, G., Tibbits, J., & Rogers, J. (2021). Optical maps refine the bread wheat Triticum aestivum cv. Chinese Spring genome assembly. The Plant Journal, 107(1), 303-314. 林訓仕. (2021). 臺灣小麥產業現況及多樣化品種介紹. 臺中區農業專訊(113), 10-12. 林訓仕, 郭建志, & 郭雅紋. (2018). 小麥新品種台中 35 號之育成. 臺中區農業改良場研究彙報(138), 53-61 | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/91225 | - |
| dc.description.abstract | 小麥是世界上重要的糧食作物之一，主要種植在溫帶環境，最適生長溫度約為15至25℃。受到極端氣候的影響，小麥生長可能面臨高溫逆境的傷害。目前小麥耐熱的研究以地上部性狀為主，根系對於高溫的反應及植株耐熱的貢獻程度仍不是很清楚。本研究首先調查小麥自然種源的根系性狀變異程度，透過238個小麥品系的苗期最大根長與57,398個SNPs的全基因體關聯性分析結果，我們在染色體6A、6B及6D各偵測到一個顯著區間。藉由探勘同源基因與小麥根系組織表現量的資訊，這3個區間內共發現10個基因在其他物種具有調控根系發育的功能。接著，我們挑選53個根長差異懸殊的小麥品系，在16度生長箱環境下，每3天調查品系的根長與總根長性狀，並繪製生長速率曲線。利用人為判斷與K-means方式對53個品系的生長速率分群，結果顯示K-means方式較人為判斷準確且有效率。小麥幼苗期的總根長是由5個根系結構所組成，這53個品系的根系結構具明顯不同的生長速度，此特性是否會影響小麥水分、養分的吸收及利用，將需要更多的實驗證明。最後，為了分析根系結構對溫度變化的反應，我們挑選20個根長差異極大的品系，以Turface作為栽培介質，在2022年的4月、6月及7月 (月均溫分別為25.7℃、33.1 ℃與36.6℃) 的溫室環境下種植。利用GGE biplot及AMMI兩種方法分析20個品系的根系性狀與溫度的交感程度，結果顯示7個品系的根系具有較佳的穩定性與較高的性狀值。總結本論文的研究成果，除了提供種源及遺傳資訊可應用在分子輔助選種，生長箱與溫室試驗則呈現不同遺傳背景的小麥品系，在控溫及多個溫度下的根系結構變化過程。期望未來能結合田間試驗，評估在高溫逆境下根系結構變化與產量的關係。 | zh_TW |
| dc.description.abstract | Wheat is primarily grown in temperate environments, with an optimal temperature range between 15 and 25°C. However, extreme weather conditions, particularly high-temperature stress, can negatively impact wheat cultivation. While current research on wheat heat tolerance mainly focuses on above-ground traits, the contribution of root traits to plants heat tolerance is unclear and should not be overlooked. This study utilized 238 wheat accessions and 57,398 SNPs for a genome-wide association analysis of maximum root length (MRL). Significant regions were identified on chromosomes 6A, 6B, and 6D. Candidate genes within these regions were further investigated for their orthologous gene function and expression profiles in root tissue. Ten candidate genes were identified across the three regions, showing relevance to root tissue expression, and their orthologous genes were related to root development and growth. 53 wheat accessions showing extreme long and short root length were selected for further investigation. Plants were grown at 16°C, MRL and total root lengths was phenotyped every three days. The growth rate was calculated and plotted for each trait, and classification of the 53 accessions based on a similar growth pattern was performed using both manual judgment and K-means clustering method, the results showed K-means method generated superior classification. Wheat root system architecture (RSA) could be categorized into five components, significant growth differences in each composition was observed among the 53 accessions, providing valuable information to study the variation of RSA and water and nutrient uptake efficiency in the future. To analyze how wheat RSA variation responds to various temperatures, 20 accessions with substantial differences in root length were grown in a greenhouse in April, June, and July of 2022, the average daily temperatures were 25.7℃, 33.1℃, and 36.6℃, respectively. Most accessions exhibited the highest trait values in June, with the lowest in April. GGE biplot and AMMI analysis results showed seven varieties had better stability and higher trait values across three growing conditions. In summary, this study identified wheat germplasm and candidate genes associated with regulating maximum root length, these genetic information can be utilized in marker-assisted breeding. The growth chamber and greenhouse experiments detailed the root growth variation among diverse cultivars and their responses to different temperatures. We look forward to conduct experiments in the field to reveal the relationship between RSA variation and wheat yield. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2023-12-12T16:17:45Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2023-12-12T16:17:45Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 致謝 i
摘要 ii Abstract iii 目錄 v 圖目錄 x 表目錄 xiii 簡寫對照表 xv 第一章、前言 1 高溫環境對小麥發育的影響 1 根系對小麥高溫耐受性的貢獻 2 小麥根系特性 3 根系性狀的基因型與外表型關聯性分析 3 基因型與環境交感分析 4 第二章、最大根長關聯性分析 8 材料方法 8 植物材料 8 試驗與生長環境條件 8 最大根長性狀調查 8 SNP基因型資料來源 9 主成分 (Principal components) 分析及親緣關係 (kinship) 分析 9 全基因體關聯性分析 (GWAS) 9 定義顯著候選區間範圍 10 候選基因探勘 10 候選基因表現量查詢 11 結果 11 238個小麥種源最大根長性狀分布 11 全基因體關聯性分析 11 GLM 模型 11 GLM+PC 模型 11 MLM 模型 12 MLM+PC 模型 12 定義候選區間範圍 13 染色體6A 13 染色體6B 13 染色體6D 13 同源基因查詢 14 染色體6A 14 染色體6B 14 染色體6D 15 候選基因表現量查詢 16 染色體6A 17 染色體6B 17 染色體6D 18 第三章、品系間根系型態的差異 (生長箱試驗) 20 材料方法 20 植物材料 20 生長箱環境條件 20 親緣關係樹建立 20 根部性狀調查 21 性狀值熱圖分析 (Heat map) 21 統計分析 22 生長速率計算及分群 22 相關性分析及路徑分析 (path analysis) 23 結果 23 建立53個品系的親緣關係樹 23 Neighbor-Joining方法 23 UPGMA方法 24 外表型調查結果 24 53個品系的根系生長速率變化與趨勢 25 最大根長生長速率 25 總根長生長速率 26 53個品系根系結構組成差異 27 各個根系結構組成發育差異 27 根系性狀間的相關係數 27 各個根系結構組成對總根長的貢獻程度 28 第四章、溫度對根系型態變化的影響 (溫室試驗) 29 材料方法 29 植物材料 29 生長環境 29 根部性狀調查 29 統計分析 30 變方分析 (Analysis of variance, ANOVA) 30 路徑分析 (path analysis) 30 主成分分析 (Principal components analysis) 30 GGE Biplot (Genotype effect and genotype by environment interaction biplot ) 31 AMMI (Additive main effect and multiplicative interaction) 31 結果 32 外表型調查結果 32 最大根長 32 根重 32 總根長 33 不同溫度環境下根系結構組成差異 33 溫度對根系結構組成發育影響 33 根系結構組成PCA圖 34 TRL與根系結構組成路徑分析 35 溫室試驗的基因型與環境交感效應分析 35 最大根長 35 根重 36 總根長 37 第五章、討論 39 最大根長性狀GWAS 39 最大根長外表型調查方式及多樣性 39 前人研究根長性狀關聯性分析結果與本研究差異 39 顯著位點的判定 40 候選基因功能探勘 40 生長箱試驗 42 比較兩種水耕系統的優缺點 42 53個品系間根系性狀差異 42 比較使用人為判斷與K-means方法分類53個品系生長速率效果 43 53個品系的根系結構組成差異 44 溫室試驗 45 溫度對於小麥根系性狀發育的影響 45 根系生長速率差異與高溫耐性間的關聯性 46 溫度對於小麥根系結構組成發育的影響 46 根系性狀基因型與環境交感分析 47 第六章、結論 48 參考文獻 50 圖 61 表 101 附錄表 120 | - |
| dc.language.iso | zh_TW | - |
| dc.title | 小麥根系性狀關聯性定位與環境基因型交感分析 | zh_TW |
| dc.title | Genome-Wide Association Mapping and Analysis of Genotype-by-Environment Interaction of Wheat Root Traits | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 112-1 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 蔡育彰;劉力瑜;曾怡潔 | zh_TW |
| dc.contributor.oralexamcommittee | Yu-Chang Tsai;Li-Yu Liu;I-Chieh Tseng | en |
| dc.subject.keyword | 小麥,根系,根長,根乾重,總根長,全基因體關聯性分析,生長速率,基因型與環境交感效應, | zh_TW |
| dc.subject.keyword | wheat,root system architecture,maximum root length,root dry weight,total root length,genome-wide association study,root growth pattern,genotype-by-environment interaction, | en |
| dc.relation.page | 124 | - |
| dc.identifier.doi | 10.6342/NTU202304390 | - |
| dc.rights.note | 同意授權(全球公開) | - |
| dc.date.accepted | 2023-11-10 | - |
| dc.contributor.author-college | 生物資源暨農學院 | - |
| dc.contributor.author-dept | 農藝學系 | - |
| dc.date.embargo-lift | 2028-11-07 | - |
| 顯示於系所單位： | 農藝學系 | |
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