STABILITY ANALYSIS - WHERE DO WE STAND

STABILITY ANALYSIS - WHERE DO WE STAND
复制标题

DOI:
10.2135/cropsci1986.0011183x002600050012x
复制
发表时间:
1986-09-01
期刊:
影响因子:
2.3
通讯作者:
LEFKOVITCH, LP
LEFKOVITCH, LP
中科院分区:
农林科学2区
文献类型:
--
作者:
LIN, CS;BINNS, MR;LEFKOVITCH, LP

文献摘要

被引文献

相似文献

为了澄清由于已发表的稳定性统计数据的多样性而引起的明显混淆,以及这些统计数据与基因型聚类对环境响应相似性的关系,研究了9种稳定性统计数据和9种相似性度量的相互关系。稳定性统计可分为四组,取决于它们是基于与平均基因型效应的偏差还是基于基因型的次数。环境(GE)术语,以及它们是否将回归模型纳入环境指数。这些稳定性统计数据组被证明与三个概念有关:一个基因型可以被认为是稳定的:(i)如果它在环境间的方差很小,(ii)如果它对环境的反应与试验中所有基因型的平均反应平行,或者(iii)如果回归模型对环境指数的残差均方很小。不幸的是,这三个概念代表了稳定性的不同方面,并不总是提供反应的全貌。在聚类分析的替代方法中,相似性度量以三种不同的方式定义完全相似性;I)基因型在不同位置间的反应相等,ii)在位置差异内的所有反应相等,iii)在位置比率内的所有反应相等。非参数方法的优点是可以对品种的响应特性进行定性评估,而不需要进行数学表征。
To clarify the apparent confusion arising from the diversity of published stability statistics, and the relationships of these with the clustering of genotypes for similarity of response to environments, the interrelationship of nine stability statistics and nine similarity measures are investigated. The stability statistics fall into four groups depending on whether they are based on the deviations from the average genotype effect or on the genotype .times. environment (GE) term, and whether or not they incorporate a regression model on an environmental index. These groups of stability statistics are shown to be related to three concepts: A genotype may be considered to be stable: (i) if its among-environment variance is small, (ii) if its response to environments is parallel to the mean response of all genotypes in the trial, or (iii) if the residual mean square from a regression model on the environmental index is small. Unfortunately, these three concepts represent different aspects of stability and do not always provide a complete picture of the response. In the alternative approach of cluster analysis, the similarity measures define complete similarity in three different ways; i) equality of genotype''s response across locations, ii) equality of all within location differences, and iii) equality of all within location ratios. The advantage of the non-parametric approach is that a cultivar''s response characteristics can be assessed qualitatively, without the need for a mathematical characterization.