Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/89537
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dc.contributor歐尚靈zh_TW
dc.contributorShang-Ling Ouen_US
dc.contributor.authorKai-Chieh Huen_US
dc.contributor.author胡凱傑zh_TW
dc.contributor.other農藝學系所zh_TW
dc.date2014zh_TW
dc.date.accessioned2015-12-07T08:45:36Z-
dc.identifierU0005-1407201408505800zh_TW
dc.identifier.citationBecker, H. C. 1981. Correlations among some statistical measures of phenotypic stability. Euphytica 30: 835–840. Becker, H. C. and J. Leon. 1988. Stability analysis in plant breeding. Plant Breeding 101: 1–23. Eberhart, S. A. and W. A. Russell. 1966. Stability parameters for comparing varieties. Crop Sci. 6: 36–40. Finlay, K. W. and G. N. Wilkinson. 1963. The analysis of adaptation in a plant-breeding programme. Aust. J. Agric. Res. 14: 742–754. Fox, P. N., B. Skovmand, B. K. Thompson, H. J. Braun and R. Cormier. 1990. Yield and adaptation of hexaploid spring triticale. Euphytica 47: 57–64. Francis, T. R. and L. W. Kannenberg. 1978. Yield stability analysis studies in short-season maize. I. A descriptive method for grouping genotypes. Can. J. Plant Sci. 58: 1029–1034. Glover, T. and K. Mitchell. 2008. An introduction to biostatistics. 2nd ed. Waveland Press, Long Grove, IL. 21–22 pp. Huhn, M. 1979. Beitrage zur erfassung der phanotypischen stabilitat. I. Vorschlag einiger auf ranginformationen beruhenden stabilitatsparameter. EDV in Medizin und Biologie 10: 112–117. Lin, C. S., M. R. Binns and L. P. Lefkovitch. 1986. Stability analysis: Where do we stand? Crop Sci. 26: 894–900. Lin, C. S. and M. R. Binns. 1988. A superiority measure of cultivar performance for cultivar × location data. Can. J. Plant Sci. 68: 193–198. Mahler, K. A. and D. L. Auld, N. L. 1989. National Winter Rapeseed Variety Trial 1988-89. Idaho Agric. Exp. Stn. Misc. Ser. No. 130. Nassar, R. and M. Huhn. 1987. Studies on estimation of phenotypic stability: Test of significance for nonparametric measures of phenotypic stability. Biometrics 43: 45–53. Perkins, J. M. and J. L. Jinks. 1968. Environmental and genotype-environmental components of variability. III. Multiple line and crosses. Heredity 23: 339–356. Roemer, T. 1917. Sind die ertragreichen sorten ertragssicherer? Mitt. Deut. Landwirt. Ges. 32: 87–89. Tollenaar, M. and E. A. Lee. 2002. Yield potential, yield stability and stress tolerance in maize. Field Crops Res. 75: 161–169. Wricke, G. 1962. Uber eine method zur erfassung der okologischen streubreite in feldversuchen. Z. Pflanzenzuchtg 47: 92–96. Yan, W., M. S. Kang, B. Ma, S. Woods and P. L. Cornelius. 2007. GGE biplot vs. AMMI analysis of genotype-by-environment data. Crop Sci. 47: 641–653.zh_TW
dc.identifier.urihttp://hdl.handle.net/11455/89537-
dc.description.abstract現行一些穩定性分析統計量有兩項特徵:第一,統計量以算術平均值或最大值作為參照點,測量各基因型觀測值與參照點間的離散程度。由於算術平均值與最大值易受離群值影響,若有離群值存在時,則不適合作為環境指標;第二,當不同環境內的變異不同質時,各基因型穩定性的估計將存有偏誤,一般來說,環境內變異愈大,在基因型總變異中所佔的比例愈大。所以本文引進盒鬚圖與百分位數的概念,來發展穩健穩定性分析統計量,解決目前穩定性分析統計量在離散測度上易受離群值影響與環境內變異不同質所造成各基因型穩定性估計偏誤的問題,以期待將來幫助作物育種學者能夠在區域試驗中選拔出穩定高產的基因型。zh_TW
dc.description.abstractThere are two characteristics in some of the current stability statistics for regional trials. First, either the arithmetic mean or the maximum in statistics is used as a reference point to measure variability of each genotype by considering the distance between each observation and the reference point. However, these are greatly influenced by outliers. If there are any outliers, they do not adequately reflect the expected yield in different environments. Second, when the variances in different environments are not homogeneous, there is a biased estimate of the stability of each genotype. Generally, an environment with larger variance will have more weight in the variance of each genotype. In order to solve the difficulty of the measure of variability which is greatly influenced by outliers and the problem of the biased estimate of the stability of each genotype in the heterogeneous of variance in different environments, the thesis develops robust stability statistics with the concept of box-plot and percentile for crop breeders to select high-yielding and stable cultivars in the regional trials.en_US
dc.description.tableofcontents中文摘要 i Abstract ii 目次 iii 表目次 v 圖目次 vi 壹、緒言 1 貳、前人研究 6 一、綜合變方分析 6 二、靜態穩定性分析 7 (一)Roemer(1917)環境變方 7 (二)Francis and Kannenberg(1978)變異係數 7 三、動態穩定性分析 8 (一)Wricke(1962)生態型值 8 (二)Lin and Binns(1988)優勢計量 8 參、研究方法 10 肆、實例驗證 16 一、冬季油菜綜合品種籽實產量區域試驗 16 二、小麥綜合品系籽實產量區域試驗 22 伍、綜合討論 28 陸、參考文獻 31zh_TW
dc.language.isozh_TWzh_TW
dc.rights不同意授權瀏覽/列印電子全文服務zh_TW
dc.subjectRegional trialsen_US
dc.subjectStability analysisen_US
dc.subjectBox-ploten_US
dc.subjectPercentileen_US
dc.subject區域試驗zh_TW
dc.subject穩定性分析zh_TW
dc.subject盒鬚圖zh_TW
dc.subject百分位數zh_TW
dc.title盒鬚圖與百分位數之區域試驗穩定性分析zh_TW
dc.titleStability Analysis of Regional Trials with Box-plot and Percentile Concepten_US
dc.typeThesis and Dissertationen_US
dc.date.paperformatopenaccess2017-07-15zh_TW
dc.date.openaccess10000-01-01-
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item.openairetypeThesis and Dissertation-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
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