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  4. 資料轉換對穩定性動態模式之影響研究. II.遺傳介量之探討
 
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資料轉換對穩定性動態模式之影響研究. II.遺傳介量之探討

Journal
中華農學會報
Journal Issue
新153
Pages
60-67
Date Issued
1991-03
Date
1991-03
Author(s)
呂秀英
鄔宏潘
URI
https://scholars.tari.gov.tw/handle/123456789/1846
https://tpl.ncl.edu.tw/NclService/JournalContentDetail?SysId=A91000775
Abstract
考慮當原始資料之穩定性迴歸分析結果未符合剩餘均方互為均質的前提時,尋求最適變數轉換的方法,進而檢討轉換資料對穩定性動態模式下遺傳介量之估計的影響。根據Schlesselman (1973)之考慮log{樣本均方}對log{樣本平均值}的直線迴歸估式,大致可求得一最適指數轉換值範圍。Arabidopsis thaliana之9×9全互交組合之鮮重資料經log Y或Y¯轉換,兩種資料轉換型態進行穩定性分析的結果極為相近:轉換前後,各基因型的生長、環境穩定性評估結果之間存在極顯著正相關關係,故對基因型之選拔有相呼應之處,但因其相關程度最大不超過0.55,故在實際進行選種時,選出的結果在順序上恐怕可能仍不盡相同。轉換資料後由於變方均質化,常造成穩定性係數與表型平均值之間相關程度減低,此反有利於育種家達成選拔高產且穩定之基因型的目標;但是轉換結果,往往也減低了交感效應及各迴歸係數間之差異性,表示各基因型對生長或環境之變化所表現的反應差異變小。不論供試材料為前研究之自交系或此處之全互交組合,資料轉換對動態模式中穩定性分析的影響大體相同。 Considering the case of the residual mean squares of deviation from the linear regression, if they are not homogeneous across all genotypes, thus a power transformation of data was proposed. To test the adequacy and necessity of transformation, the effects of transformation of data on genetic parameters in stability analysis of dynamic models were discussed. The method of Schlesselman (1973) can by adapted to provide as a means of estimating approximate confidence intervals of a power transformation for reducing error heterogeneity. The method involves the regression of log {sample variance} on log {sample mean}. Log Y and Y□ transformations were considered in analyzing the fresh data of 9×9 diallel crosses of Arabidopsis thaliana, highly significant correlation was found between these two transformation scales and original data. However, the any data transformation may reduce the correlation between stability index and phenotypic mean because of the removal of heterogeneity of variance. This may help breeders select genotypes having, above mean performance and high stability. On the other hand, the magnitudes of interactions and heterogeneity among regressions are also reduced by using data transformation. The effects on genetic parameters in stability analysis of dynamic model were in accordance with those on space-time parameters of dynamic model I previous study.
Subjects
穩定性動態模式
遺傳介量
介量
資料
遺傳
轉換
穩定性動態模式
Publisher
中華農學會
Type
journal article

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