Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/89537
標題: 盒鬚圖與百分位數之區域試驗穩定性分析
Stability Analysis of Regional Trials with Box-plot and Percentile Concept
作者: Kai-Chieh Hu
胡凱傑
關鍵字: Regional trials;Stability analysis;Box-plot;Percentile;區域試驗;穩定性分析;盒鬚圖;百分位數
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摘要: 
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。

There 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.
URI: http://hdl.handle.net/11455/89537
其他識別: U0005-1407201408505800
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